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FOOD RETAILING IN KARNATAKA <strong>–</strong> ACASE OF<br />

SUPERMARKET<br />

Thesis submitted to the<br />

University <strong>of</strong> Agricultural Sciences, Dharwad<br />

<strong>in</strong> partial fulfillment <strong>of</strong> the requirements for the<br />

Degree <strong>of</strong><br />

DOCTOR OF PHILOSOPHY<br />

In<br />

AGRIBUSINESS MANAGEMENT<br />

By<br />

RAMAPPA K. B.<br />

DEPARTMENT OF AGRICULTURAL MARKETING,<br />

CO-OPERATION AND AGRIBUSINESS MANAGEMENT<br />

COLLEGE OF AGRICULTURE<br />

UNIVERSITY OF AGRICULTURAL SCIENCES,<br />

DHARWAD - 580 005<br />

JUNE , 2007


ADVISORY COMMITTEE<br />

DHARWAD (H. S. S. KHAN)<br />

MARCH, 2007 MAJOR ADVISOR<br />

Approved by :<br />

Chairman :<br />

__________________________<br />

(H.S.S. KHAN)<br />

Members : 1. _________________________<br />

(H.S.VIJAYKUMAR)<br />

2. _________________________<br />

(H. BASAVARAJ)<br />

3. _________________________<br />

(VILAS KULKARNI)<br />

4. _________________________<br />

(A. R. S. BHAT)


CONTENTS<br />

Chapter No. Title<br />

I INTRODUCTION<br />

II REVIEW OF LITERATURE<br />

III METHODOLOGY<br />

IV RESULTS<br />

V DISCUSSION<br />

VI SUMMARY AND POLICY IMPLICATIONS<br />

VII REFERENCES<br />

APPENDICES


Table<br />

No.<br />

LIST OF TABLES<br />

Title<br />

4.1 Documentation <strong>of</strong> Supermarkets <strong>in</strong> the Study Area<br />

4.2 Investment Pattern <strong>in</strong> Supermarkets<br />

4.3 Purchas<strong>in</strong>g Pattern <strong>of</strong> Supermarkets Across Karnataka<br />

4.4 Monthly Average Quantity and Value <strong>of</strong> Products Procurement <strong>in</strong><br />

Bangalore Supermarkets<br />

4.5 Monthly Average Quantity and Value <strong>of</strong> Products procurement <strong>in</strong> Mysore<br />

Supermarkets<br />

4.6 Monthly Average Quantity and Value <strong>of</strong> Products Procurement <strong>in</strong><br />

Mangalore Supermarkets<br />

4.7 Monthly Average Quantity and Value <strong>of</strong> Products procurement <strong>in</strong><br />

Belgaum Supermarkets<br />

4.8 Monthly Average Quantity and Value <strong>of</strong> Products Procurement <strong>in</strong> Hubli-<br />

Dharwad Supermarkets<br />

4.9 Overall Monthly Average Quantity and Value <strong>of</strong> Products Procurement <strong>in</strong><br />

Supermarkets<br />

4.10 Average Monthly Costs Incurred <strong>in</strong> Procurement <strong>of</strong> Commodities by<br />

Supermarkets <strong>in</strong> Bangalore City<br />

4.11 Average Monthly Costs Incurred <strong>in</strong> Procurement <strong>of</strong> Commodities by<br />

Supermarkets <strong>in</strong> Mysore City<br />

4.12 Average Monthly Costs Incurred <strong>in</strong> Procurement <strong>of</strong> Commodities by<br />

Supermarkets <strong>in</strong> Mangalore City<br />

4.13 Average Monthly Costs Incurred <strong>in</strong> Procurement <strong>of</strong> Commodities by<br />

Supermarkets <strong>in</strong> Belgaum City<br />

4.14 Average Monthly Costs Incurred <strong>in</strong> Procurement <strong>of</strong> Commodities by<br />

Supermarkets <strong>in</strong> Hubli-Dharwad City<br />

4.15 Overall Average Monthly Costs Incurred <strong>in</strong> Procurement <strong>of</strong> Commodities<br />

by Supermarkets<br />

4.16 Commodity-wise Monthly Costs Incurred <strong>in</strong> Procurement <strong>of</strong> Commodities<br />

by Supermarkets <strong>in</strong> Karnataka<br />

4.17 City-wise Monthly Costs Incurred <strong>in</strong> Procurement <strong>of</strong> Commodities by<br />

Supermarkets <strong>in</strong> Karnataka<br />

4.18 Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Bangalore<br />

Supermarkets<br />

4.19 Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Mysore<br />

Supermarkets<br />

4.20 Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Mangalore<br />

Supermarkets<br />

4.21<br />

Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Belgaum<br />

Supermarkets


4.22 Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Hubli-Dharwad<br />

Supermarkets<br />

4.23 Overall Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong><br />

Supermarkets<br />

4.24 Commodity-wise cost <strong>of</strong> <strong>in</strong>ventory and Prepar<strong>in</strong>g the Product for Sale <strong>in</strong><br />

Supermarkets<br />

4.25 Average City-wise Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale<br />

<strong>in</strong> Supermarkets<br />

4.26 Extent <strong>of</strong> Activities Undertaken <strong>in</strong> Preparation <strong>of</strong> the Product for Sale <strong>in</strong><br />

Supermarkets<br />

4.27 Value Addition <strong>in</strong> Supermarkets for the Selected Products<br />

4.28 F<strong>in</strong>ancial Performance <strong>of</strong> Supermarkets Dur<strong>in</strong>g the Year 2006-07<br />

4.29 Rank<strong>in</strong>g <strong>of</strong> the Factors Considered by Supermarketers <strong>in</strong> Pric<strong>in</strong>g the<br />

Products <strong>in</strong> Supermarkets<br />

4.30 Methods <strong>of</strong> Pric<strong>in</strong>g Followed <strong>in</strong> Supermarkets<br />

4.31 Variables with relatively higher factor load<strong>in</strong>gs on n<strong>in</strong>e dimensions on the<br />

problems <strong>of</strong> <strong>supermarket</strong>ers <strong>in</strong> Karnataka<br />

4.32 Aggregation <strong>of</strong> clusters <strong>of</strong> variables <strong>in</strong>fluenc<strong>in</strong>g consumers to purchase<br />

<strong>food</strong> products <strong>in</strong> <strong>supermarket</strong>ers


LIST OF FIGURES<br />

Fig. No. Title<br />

1. Organizational Structure <strong>of</strong> Supermarkets <strong>in</strong> Cha<strong>in</strong><br />

2.<br />

Organizational Structure <strong>of</strong> Small Supermarkets (Not <strong>in</strong> Cha<strong>in</strong>)<br />

LIST OF APPENDICES<br />

Appendix No. Title<br />

1 Rank<strong>in</strong>g <strong>of</strong> the Factors Considered by Supermarketers <strong>in</strong> Pric<strong>in</strong>g the<br />

Products <strong>in</strong> Supermarkets<br />

2 Component matrix <strong>of</strong> different dimensions on the problems <strong>of</strong><br />

<strong>supermarket</strong>ers<br />

3 Extent <strong>of</strong> variation expla<strong>in</strong>ed by different dimensions on the problems<br />

<strong>of</strong> <strong>supermarket</strong>ers <strong>in</strong> Karnataka<br />

4 Dendogram show<strong>in</strong>g the aggregation <strong>of</strong> clusters <strong>of</strong> variables<br />

<strong>in</strong>fluenc<strong>in</strong>g consumers to purchase <strong>food</strong> products <strong>in</strong> <strong>supermarket</strong>s<br />

us<strong>in</strong>g Complete L<strong>in</strong>kage method<br />

5 Clusters Classification and Case wise Statistics Based on Discrim<strong>in</strong>ant<br />

Analysis<br />

6 Proximity Matrix <strong>of</strong> Squared Euclidean Distance for the Clusters<br />

Classification


I. INTRODUCTION<br />

Food is def<strong>in</strong>ed as any substance taken <strong>in</strong>to the body for the purpose <strong>of</strong> provid<strong>in</strong>g<br />

nourishment. The <strong>food</strong> <strong>in</strong>dustry is the complex, global collective <strong>of</strong> diverse bus<strong>in</strong>esses that<br />

together supply much <strong>of</strong> the <strong>food</strong> energy consumed by the world population. With population<br />

around the world concentrat<strong>in</strong>g <strong>in</strong> urban areas, <strong>food</strong> buy<strong>in</strong>g is <strong>in</strong>creas<strong>in</strong>gly removed from all<br />

aspects <strong>of</strong> <strong>food</strong> production.<br />

Food accounts for the largest share <strong>of</strong> consumer spend<strong>in</strong>g. Food and <strong>food</strong> products<br />

account for about 53 per cent <strong>of</strong> the value <strong>of</strong> f<strong>in</strong>al private consumption. This share is<br />

significantly higher than <strong>in</strong> developed economies, where <strong>food</strong> and <strong>food</strong> products account for<br />

about 20 per cent <strong>of</strong> consumer spend<strong>in</strong>g. Significant spend<strong>in</strong>g on <strong>food</strong> and <strong>in</strong>creas<strong>in</strong>g<br />

out-<strong>of</strong>-home <strong>food</strong> consumption represent opportunities for <strong>food</strong> retailers and <strong>food</strong>-service<br />

companies (www.tata.com) to cater to their needs.<br />

Retail, accord<strong>in</strong>g to concise Oxford English Dictionary, is the ‘sale <strong>of</strong> goods to the<br />

public for use or consumption rather than for resale’. Retail<strong>in</strong>g is derived from the French<br />

word ‘retailer’ mean<strong>in</strong>g ‘break<strong>in</strong>g bulk’ and break<strong>in</strong>g bulk quantities <strong>in</strong>to smaller saleable units.<br />

Usually, a retailer buys goods or products <strong>in</strong> larger quantities from manufacturers or<br />

importers, either directly or through a wholesaler and then sells <strong>in</strong>dividual items <strong>in</strong> small<br />

quantities to general public or the end users.<br />

This is relatively a recent development, tak<strong>in</strong>g place ma<strong>in</strong>ly over the last 50 years.<br />

The <strong>supermarket</strong> is a def<strong>in</strong><strong>in</strong>g retail element <strong>of</strong> the <strong>food</strong> <strong>in</strong>dustry, where tens <strong>of</strong> thousands <strong>of</strong><br />

products are gathered <strong>in</strong> one location, <strong>in</strong> cont<strong>in</strong>uous, year-round supply. Supermarkets were<br />

first established <strong>in</strong> the U.S. dur<strong>in</strong>g the 1930s as no-frills retail stores <strong>of</strong>fer<strong>in</strong>g low prices. In the<br />

1940s and '50s they became the major <strong>food</strong> market<strong>in</strong>g channel <strong>in</strong> the U.S.; the 1950s also<br />

saw them spread through much <strong>of</strong> Europe. Their growth is part <strong>of</strong> a trend <strong>in</strong> developed<br />

countries toward reduc<strong>in</strong>g cost and simplify<strong>in</strong>g market<strong>in</strong>g. In the 1960s <strong>supermarket</strong>s began<br />

appear<strong>in</strong>g <strong>in</strong> develop<strong>in</strong>g countries <strong>in</strong> the Middle East, Asia, and Lat<strong>in</strong> America, where they<br />

appealed to <strong>in</strong>dividuals who had the necessary buy<strong>in</strong>g power and <strong>food</strong> storage facilities.<br />

The world over retail sector has been grow<strong>in</strong>g rapidly with <strong>in</strong>creas<strong>in</strong>g sophistication<br />

and modernization <strong>of</strong> the life-style <strong>of</strong> households and <strong>in</strong>dividuals and with <strong>in</strong>creas<strong>in</strong>g<br />

globalization <strong>of</strong> trade. The retail sector has strong backward and forward l<strong>in</strong>kages with other<br />

sectors like agriculture and <strong>in</strong>dustry through stimulat<strong>in</strong>g demand for goods and through mass<br />

market<strong>in</strong>g, packag<strong>in</strong>g, storage and transport. Moreover, it creates considerable direct and<br />

<strong>in</strong>direct employment <strong>in</strong> the economy. Also, the consumers have benefited <strong>in</strong> terms <strong>of</strong> wide<br />

range <strong>of</strong> products available <strong>in</strong> a market.<br />

The retail sector is broadly classified <strong>in</strong> to two groups; Organized and Unorganized<br />

retail sector. The organized sector is ma<strong>in</strong>ly characterized by typically large number <strong>of</strong><br />

retailers, greater enforcement <strong>of</strong> taxation mechanisms and better labour law monitor<strong>in</strong>g<br />

systems. It is not just a stock<strong>in</strong>g and sell<strong>in</strong>g, but is more about efficient supply cha<strong>in</strong><br />

management, develop<strong>in</strong>g vendor relationships, quality customer service, efficient<br />

merchandis<strong>in</strong>g and timely promotional campaigns. On the other hand the unorganized retail<br />

market is characterized by typically small retailers, more prone to tax evasion and lack <strong>of</strong><br />

labour law supervision. This market is more common <strong>in</strong> develop<strong>in</strong>g countries.<br />

Global Scenario:<br />

Retail has played a major role world over <strong>in</strong> <strong>in</strong>creas<strong>in</strong>g their activity across a wide<br />

range <strong>of</strong> consumer goods and services. The impact can be seen <strong>in</strong> countries like U.S.A.,<br />

U.K., Mexico, Thailand and more recently Ch<strong>in</strong>a. Economies <strong>of</strong> countries like S<strong>in</strong>gapore,<br />

Malaysia, Hong Kong, Sri Lanka and Dubai are also heavily assisted by the retail sector.<br />

Globally, <strong>retail<strong>in</strong>g</strong> is a big bus<strong>in</strong>ess. Its turnover is fast march<strong>in</strong>g to $ 6.6 trillion. The<br />

retail <strong>in</strong>dustry <strong>in</strong> America employs more than 22 million people and generates more than three<br />

trillion US dollars <strong>in</strong> retail sale annually (www.epwrf.res.<strong>in</strong>). Accord<strong>in</strong>g to the India Retail<br />

Report 2005~Images-KSA Technopark, the retail sales was found to be the highest <strong>in</strong><br />

developed countries like U.S.A. and U.K., where<strong>in</strong> 85 per cent <strong>of</strong> the retail sector was<br />

constituted by organized <strong>retail<strong>in</strong>g</strong> due to 100 per cent Foreign Direct Investment (FDI) and its<br />

contribution <strong>of</strong> n<strong>in</strong>e per cent to GDP and more than 10 per cent employment <strong>in</strong> these


countries (www.imagesretail.com/<strong>in</strong>dia_retail_report.htm). The share <strong>of</strong> organized retail is<br />

more so <strong>in</strong> case <strong>of</strong> developed countries due to the busy life schedule and lack <strong>of</strong> time for<br />

shopp<strong>in</strong>g, high literacy rate, exposure to media, greater availability and penetration <strong>of</strong> variety<br />

<strong>of</strong> consumer goods <strong>in</strong>to the <strong>in</strong>teriors <strong>of</strong> the country and better shopp<strong>in</strong>g experience. Whereas,<br />

the share <strong>of</strong> organized retail outlets <strong>in</strong> develop<strong>in</strong>g countries was very less, it was 17 per cent<br />

<strong>in</strong> Ch<strong>in</strong>a and very meager <strong>of</strong> about three per cent <strong>in</strong> India because <strong>of</strong> the poor literacy rate,<br />

lack <strong>of</strong> exposure to media, non-availability and low penetration <strong>of</strong> consumer goods to rural<br />

areas <strong>of</strong> the country and lack <strong>of</strong> shopp<strong>in</strong>g experiences.<br />

There are many Multi National Companies (MNCs) operat<strong>in</strong>g <strong>in</strong> the retail bus<strong>in</strong>ess<br />

throughout the world. The big four champions <strong>in</strong> 2004 were Wal-Mart, Carrefour, Home Depot<br />

and Target. Except Carrefour, which was hailed from France, all these top champions were<br />

from U.S.A. The comb<strong>in</strong>ed sales was $ 438 billion and were grow<strong>in</strong>g at the rate <strong>of</strong> 10 per cent<br />

per annum, there growth comes from putt<strong>in</strong>g small stores out <strong>of</strong> bus<strong>in</strong>ess. This is happen<strong>in</strong>g<br />

<strong>in</strong> Europe and Asia. The Big Box and Hypermarket are operat<strong>in</strong>g everywhere. However,<br />

Germany based Metro is operat<strong>in</strong>g <strong>in</strong> 27 countries all over the world <strong>in</strong>clud<strong>in</strong>g India (KSA<br />

Technopark).<br />

The traditional forms <strong>of</strong> <strong>in</strong>dependently owned small bus<strong>in</strong>ess and co-operative have<br />

lost significant market share <strong>in</strong> developed countries and the retail sector <strong>in</strong> these countries is<br />

now characterized by large multiple cha<strong>in</strong>s run by powerful and sophisticated organizations.<br />

In global, the recently exist<strong>in</strong>g retail formats are Hypermarkets, Supermarkets, Mass<br />

merchandisers, Discounters, Convenience stores, Specialty stores and Mom-and-pops. The<br />

evolv<strong>in</strong>g formats with their deal<strong>in</strong>g category <strong>of</strong> goods and the examples <strong>of</strong> the type are shown<br />

below:<br />

Hypermarkets <strong>–</strong> These are ma<strong>in</strong>ly located out <strong>of</strong> town cover<strong>in</strong>g an area over 40,000 Sq. ft aim<br />

at the monthly bulk shoppers. These markets have spacious park<strong>in</strong>g lots and sell a variety <strong>of</strong><br />

products such as electronic, cloth<strong>in</strong>g, durables and so on apart from groceries.<br />

Supermarkets <strong>–</strong> It ma<strong>in</strong>ly based on the classical self-service system. Its area varies from<br />

4,000 to 20,000 Sq. ft. They ma<strong>in</strong>ly focus on one <strong>of</strong> the primary conditions <strong>of</strong> grocery,<br />

household goods, personal care etc.<br />

Mass Merchandisers <strong>–</strong> The mass merchandisers have cross country cha<strong>in</strong> operations. They<br />

have centralized sourc<strong>in</strong>g hub, spiked distribution and sell almost everyth<strong>in</strong>g at competitive<br />

prices.<br />

Discounters <strong>–</strong> Aimed ma<strong>in</strong>ly at barga<strong>in</strong> buyers, they are different from <strong>supermarket</strong>. They<br />

<strong>of</strong>fer less choice <strong>in</strong> each category; give discounts, cheap costs and <strong>in</strong>ventories at lower level.<br />

Convenience stores <strong>–</strong> They are located at convenient po<strong>in</strong>ts like petrol stations that keep<br />

open day and night and sometimes do odd jobs for time starved customers (clothes, laundry,<br />

medic<strong>in</strong>e prescription, pick up). They occupy a small area, usually less than 2,000 Sq. ft.<br />

Specialty stores <strong>–</strong> These are mov<strong>in</strong>g towards ‘consultative shopp<strong>in</strong>g’; where a salesman is<br />

well tra<strong>in</strong>ed <strong>in</strong> <strong>of</strong>fer<strong>in</strong>g specialized advice to customers before they purchase any commodity.<br />

Mom-and-Pops <strong>–</strong> Traditional formats, these are very small (less than 1000 Sq. ft), and family<br />

owned corner shops.<br />

Indian Scenario:<br />

Retail<strong>in</strong>g is one <strong>of</strong> the largest <strong>in</strong>dustry <strong>in</strong> India and second largest employer after<br />

agriculture. The <strong>retail<strong>in</strong>g</strong> <strong>in</strong>dustry provides employment to over 18 million people. One out <strong>of</strong><br />

every 25 families <strong>in</strong> India is engaged <strong>in</strong> the bus<strong>in</strong>ess <strong>of</strong> <strong>retail<strong>in</strong>g</strong>. Ownership and management<br />

are predom<strong>in</strong>antly family controlled. However, <strong>in</strong> sharp contrast to developed countries, unit<br />

average size <strong>of</strong> retail outlet <strong>in</strong> India is very small. It is the tenth largest economy <strong>in</strong> the world<br />

based on GDP and its growth is forecasted at 7.5 per cent over 2005-2007. The Indian retail<br />

sector is grow<strong>in</strong>g at Compound Average Growth rate (CAGR) <strong>of</strong> 30 per cent over the next five<br />

years. However, the share <strong>of</strong> modern organized retail sector is likely to grow from its current<br />

three percent to 15-20 per cent over the next decade. Ongo<strong>in</strong>g retail boom is expected to<br />

translate <strong>in</strong>to next eight million jobs over five to six years. The country is rated as fifth most<br />

attractive emerg<strong>in</strong>g retail sector and ranked second <strong>in</strong> a Global Retail Development Index <strong>of</strong><br />

30 develop<strong>in</strong>g countries as drawn up by A.T. Kearney.


Unlike most other countries, Indian retail sector is highly fragmented and bulk <strong>of</strong> the<br />

bus<strong>in</strong>ess is <strong>in</strong> the unorganized sector (97 per cent) like local ‘wet’ market vendors, roadside<br />

pushcart sellers or t<strong>in</strong>y kirana (grocery) stores. In India, the majority <strong>of</strong> <strong>food</strong> consumption is<br />

still at home. Nevertheless, out-<strong>of</strong>-home <strong>food</strong> consumption is <strong>in</strong>creas<strong>in</strong>g. Traditional local<br />

markets and small-scale <strong>retail<strong>in</strong>g</strong> cont<strong>in</strong>ue to dom<strong>in</strong>ate India’s <strong>food</strong> retail sector. There are an<br />

estimated 12 million retail outlets, <strong>of</strong> which almost seven million sell <strong>food</strong> and grocery<br />

products. The vast majority <strong>of</strong> these are small kiosks (17 per cent), general provision stores<br />

(14 per cent) and grocery stores (called kirana; 56 per cent <strong>of</strong> all rural retail outlets) run by a<br />

s<strong>in</strong>gle trader and his family. With more than 71 per cent <strong>of</strong> the population liv<strong>in</strong>g <strong>in</strong> small<br />

villages and engaged <strong>in</strong> agriculture, most <strong>of</strong> Indians still do their <strong>food</strong> shopp<strong>in</strong>g at small-scale<br />

vendors <strong>in</strong> the local village, or at large-scale weekly markets which are <strong>of</strong>ten serv<strong>in</strong>g several<br />

villages <strong>in</strong> one area, where small <strong>in</strong>dividual vendors trade. In the towns and cities, most<br />

consumers do their <strong>food</strong> shopp<strong>in</strong>g at the local neighbourhood, <strong>in</strong>dependent small retailers,<br />

kiosks and street hawkers. Servants <strong>in</strong> high <strong>in</strong>come households usually undertake this task<br />

(Anonymous, 2005).<br />

Organized <strong>retail<strong>in</strong>g</strong> accounts for only three per cent <strong>in</strong> India, whereas it is 85 per cent<br />

<strong>in</strong> USA and U.K., 75 percent <strong>in</strong> Taiwan, 55 percent <strong>in</strong> Malaysia, 35 per cent <strong>in</strong> Korea and 20<br />

per cent <strong>in</strong> Ch<strong>in</strong>a. The growth <strong>of</strong> retail sector <strong>in</strong> the country is tremendous both <strong>in</strong> urban and<br />

rural areas. Organized <strong>food</strong> <strong>retail<strong>in</strong>g</strong> is a relatively new phenomenon <strong>in</strong> India, with small<br />

Western-style <strong>supermarket</strong>s only start<strong>in</strong>g to appear s<strong>in</strong>ce 1990s. The country has witnessed a<br />

retail revolution <strong>in</strong> recent years. Significant development has been tak<strong>in</strong>g place <strong>in</strong> urban areas<br />

<strong>in</strong> the form <strong>of</strong> organized <strong>retail<strong>in</strong>g</strong> - mega stores or malls more so <strong>in</strong> the south <strong>of</strong> the country <strong>in</strong><br />

the major cities <strong>of</strong> Bangalore, Chennai and Hyderabad, as well as New Delhi and Mumbai <strong>in</strong><br />

the North. It is expected that the tier II cities would take another five years to absorb modern<br />

<strong>retail<strong>in</strong>g</strong> opportunities. Moreover, the case for Indian retailers to explore rural markets is also<br />

strong due to the size <strong>of</strong> rural population and agricultural <strong>in</strong>come growth <strong>in</strong> last couple <strong>of</strong><br />

years. The major formats be<strong>in</strong>g followed for organized <strong>food</strong> <strong>retail<strong>in</strong>g</strong> <strong>in</strong> India are<br />

<strong>supermarket</strong>s, discount stores, fresh product outlets, specialty stores, convenience stores and<br />

<strong>of</strong>f price retailers.<br />

The organized <strong>food</strong> <strong>retail<strong>in</strong>g</strong> sector <strong>in</strong> India is on the verge <strong>of</strong> a boom and expected to<br />

undergo further change with prospective new domestic and global foreign entrants and the<br />

takeover or exit <strong>of</strong> some exist<strong>in</strong>g participants. The domestic corporate houses <strong>in</strong>clud<strong>in</strong>g<br />

Calcutta based Spencer’s and RPG group, Chennai based Subhiksha and Niligiri’s,<br />

Hyderabad based Tr<strong>in</strong>ethra Group (s<strong>in</strong>ce 1971), Bangalore based Fabmall, the jo<strong>in</strong>t venture<br />

between Calcutta’s RPG group and the UK’s Jard<strong>in</strong>e Matheson Group’s Hong-Kong based<br />

subsidiary Dairy Farm International’s (now owned) Foodworld <strong>supermarket</strong> cha<strong>in</strong>, Tatas,<br />

Reliance, ITC Group, Lohias-promoted Indo Rama, Mumbai-based RK Hospitality, Kishore<br />

Biyani with his Big Bazaar etc., with its hypermarket and <strong>supermarket</strong> cha<strong>in</strong>s are already <strong>in</strong><br />

process. The globally fourth ranked Germany based Metro AG (with two Metro Cash and<br />

Carry wholesale stores opened <strong>in</strong> Bangalore so far s<strong>in</strong>ce 2002) and the South African owned<br />

Shoprite Group <strong>in</strong> partnership with a local <strong>in</strong>vestor (with one Shoprite hypermarket opened <strong>in</strong><br />

Mumbai <strong>in</strong> late 2004) have already started operation <strong>in</strong> India. In addition, the big retailers<br />

such as Tesco (UK) and Carrefour (France) have <strong>in</strong>dicated their plans to enter India once the<br />

Indian Foreign Investment Regulations permit. On November 28, 2006 Wal-Mart, the world’s<br />

biggest retailer announced plans to enter India <strong>in</strong> partnership with Sunil Mittal’s Bharati<br />

Enterprises, mak<strong>in</strong>g a direct entry <strong>in</strong>to the rapidly grow<strong>in</strong>g Indian retail sector (Anonymous,<br />

2006).<br />

International attention is now <strong>in</strong>creas<strong>in</strong>gly focused on the rapidly grow<strong>in</strong>g Indian <strong>food</strong><br />

retail market. With the removal <strong>of</strong> quantitative restrictions on imports, Indian consumers can<br />

have access to <strong>food</strong> from around the world. Market analysts believe that hypermarket will<br />

determ<strong>in</strong>e the future <strong>of</strong> organized <strong>food</strong> <strong>retail<strong>in</strong>g</strong> over the short to medium term. Traditional<br />

grocers are also gradually redef<strong>in</strong><strong>in</strong>g themselves by <strong>in</strong>creas<strong>in</strong>g floor space and <strong>in</strong>troduc<strong>in</strong>g<br />

self-service format and value added services such as credit and home delivery (Anonymous,<br />

2004).<br />

Karnataka Scenario:<br />

The study conducted by the Rabo India F<strong>in</strong>ance Pvt. Ltd. says that South Indian<br />

states <strong>of</strong> Tamil Nadu, Andhra Pradesh and Karnataka have taken a lead role <strong>in</strong> establish<strong>in</strong>g


modern <strong>food</strong> outlets. The growth <strong>of</strong> organized <strong>retail<strong>in</strong>g</strong> has shown particular vigour <strong>in</strong> Chennai<br />

and Bangalore where an estimated 40 per cent <strong>of</strong> their grocery requirements were met<br />

through modern retail formats. The study po<strong>in</strong>ted out that media exposure; nuclear families<br />

and emancipation <strong>of</strong> women are some <strong>of</strong> the important demographic reasons for the shift <strong>in</strong><br />

the decision-mak<strong>in</strong>g variables from price. The study also estimated that organized <strong>food</strong> retail<br />

sector is set to expand over ten folds <strong>in</strong> the next five years to approximately Rs. 75 billion<br />

($1.6 billion). The estimate was based on the assumption that 6 million households would<br />

spend Rs. 1000/ per month through organized retail.<br />

Karnataka is one <strong>of</strong> the lead<strong>in</strong>g states <strong>in</strong> organized <strong>retail<strong>in</strong>g</strong> <strong>in</strong> India as there are more<br />

than ten organized retailers (firms) with more than 100 outlets <strong>in</strong>clud<strong>in</strong>g Metro AG operat<strong>in</strong>g <strong>in</strong><br />

Bangalore city alone due to <strong>in</strong>creas<strong>in</strong>g urbanization and expand<strong>in</strong>g service sectors like<br />

s<strong>of</strong>tware, bank<strong>in</strong>g, <strong>in</strong>surance and Bus<strong>in</strong>ess Process Outsourc<strong>in</strong>g (BPO), which has taken a<br />

metropolitan city status more recently has led to <strong>in</strong>crease <strong>in</strong> <strong>in</strong>come <strong>of</strong> the consumers. Apart<br />

from Bangalore, cities such as Mysore, Mangalore, Hubli-Dharwad and Belgaum <strong>in</strong> Karnataka<br />

are also grow<strong>in</strong>g rapidly <strong>in</strong> terms <strong>of</strong> urbanization, <strong>in</strong>come and organized <strong>retail<strong>in</strong>g</strong> with local<br />

<strong>food</strong> marketers as they are convert<strong>in</strong>g unorganized retail outlets <strong>in</strong>to organized form because<br />

<strong>of</strong> strong demand for convenience products; and better educated consumers concerned<br />

about health, nutrition, <strong>food</strong> safety, and the environment.<br />

As <strong>in</strong>come rose and shoppers sought both convenience and new tastes and<br />

stimulation, <strong>supermarket</strong>s were able to expand the products <strong>of</strong>fered. The global economy has<br />

changed, consumer demand has shifted, and retailers operat<strong>in</strong>g system today are <strong>in</strong>fused<br />

with far more technology than was the case <strong>in</strong> the past. It was observed that lot <strong>of</strong> progress<br />

have been achieved <strong>in</strong> the <strong>food</strong> <strong>retail<strong>in</strong>g</strong> <strong>in</strong> the past decade through organized <strong>food</strong> stores<br />

such as <strong>supermarket</strong>s, discount stores, fresh product outlets, specialty stores, convenience<br />

stores and <strong>of</strong>f price retailers. But still there is a lot <strong>of</strong> scope for the <strong>food</strong> <strong>retail<strong>in</strong>g</strong>. The state is<br />

experienc<strong>in</strong>g rapid structural change with the emergence <strong>of</strong> huge retail firms with massive<br />

buy<strong>in</strong>g power and concomitantly concentration <strong>in</strong> the manufactur<strong>in</strong>g sector. Hence, an effort<br />

was made <strong>in</strong> the state to study the entire bus<strong>in</strong>ess aspects <strong>of</strong> organized <strong>food</strong> <strong>retail<strong>in</strong>g</strong> <strong>in</strong><br />

general and <strong>supermarket</strong>s <strong>in</strong> particular. In addition, consumers study was also undertaken to<br />

know the factors to be considered while purchas<strong>in</strong>g their <strong>food</strong> products <strong>in</strong> <strong>food</strong> retail outlets.<br />

The specific objectives <strong>of</strong> the study were as follows:<br />

1. To document the <strong>supermarket</strong>s exist<strong>in</strong>g <strong>in</strong> the study area<br />

2. To study the Organizational structure <strong>in</strong> <strong>supermarket</strong>s.<br />

3. To evaluate the <strong>in</strong>vestment pattern <strong>in</strong> <strong>supermarket</strong>s.<br />

4. To evaluate the f<strong>in</strong>ancial management <strong>of</strong> <strong>supermarket</strong>s.<br />

5. To study the procurement management <strong>in</strong> <strong>supermarket</strong>s<br />

6. To study the <strong>in</strong>ventory management and its costs.<br />

7. To study the management <strong>of</strong> process<strong>in</strong>g/value addition <strong>in</strong> <strong>supermarket</strong>s.<br />

8. To ascerta<strong>in</strong> the methods <strong>of</strong> pric<strong>in</strong>g <strong>in</strong> <strong>supermarket</strong>s<br />

9. To ascerta<strong>in</strong> the constra<strong>in</strong>ts /problems faced by the retailers.<br />

10. To identify the factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase the <strong>food</strong> products <strong>in</strong><br />

<strong>food</strong> <strong>supermarket</strong>s/ <strong>food</strong> retail outlets.<br />

The above said objectives are very much relevant from the viewpo<strong>in</strong>t <strong>of</strong> <strong>in</strong>vestors <strong>in</strong><br />

the <strong>food</strong> <strong>retail<strong>in</strong>g</strong> <strong>in</strong>dustry and they helps <strong>in</strong> provid<strong>in</strong>g best services to the consumers at<br />

competitive prices. Although few studies were conducted on the <strong>food</strong> <strong>retail<strong>in</strong>g</strong>, there were no<br />

studies, which cover the above aspects <strong>of</strong> <strong>food</strong> <strong>retail<strong>in</strong>g</strong> bus<strong>in</strong>ess and constra<strong>in</strong>ts faced by the<br />

<strong>supermarket</strong>ers <strong>in</strong> Karnataka.<br />

Limitation <strong>of</strong> the study<br />

The study was purely based on the data given by the owners/executives <strong>of</strong> the <strong>food</strong><br />

<strong>retail<strong>in</strong>g</strong> companies/outlets who are generally suspicious <strong>of</strong> the motives <strong>of</strong> any <strong>in</strong>vestigation<br />

because <strong>of</strong> fear <strong>of</strong> taxation and competition. In addition, due to non-availability <strong>of</strong> time series<br />

data with respect to the bus<strong>in</strong>ess performance <strong>in</strong>dicators over a period <strong>of</strong> time, only recent


year’s data (2006-07) was used to analyse the performance. Therefore, the <strong>in</strong>vestigation was<br />

confronted with various drawbacks <strong>in</strong> ascerta<strong>in</strong><strong>in</strong>g the data. In case <strong>of</strong> companies hav<strong>in</strong>g<br />

cha<strong>in</strong> <strong>of</strong> outlets/units, only one unit/outlet data was used to assess the overall objectives <strong>of</strong><br />

the study. Hence, greater care was taken to collect the data as accurately as possible.<br />

Presentation <strong>of</strong> the study<br />

The entire study has been presented <strong>in</strong> seven chapters. In the first chapter, the<br />

importance and the current status <strong>of</strong> the present study was highlighted. The specific<br />

objectives <strong>of</strong> the study as well as limitations <strong>of</strong> the study have also been <strong>in</strong>dicated.<br />

Chapter II deals with the review <strong>of</strong> the relevant research studies connected with the<br />

objectives.<br />

Chapter III outl<strong>in</strong>es briefly the ma<strong>in</strong> features <strong>of</strong> the study area and the study outlets.<br />

The nature and sources from which relevant data have been collected and the various<br />

statistical tools and techniques employed <strong>in</strong> the study for evaluat<strong>in</strong>g the objectives were<br />

<strong>in</strong>cluded.<br />

Chapter IV is devoted to the analysis <strong>of</strong> the data through a variety <strong>of</strong> tables <strong>in</strong>to which<br />

relevant details have been compressed and summarized under appropriate heads and<br />

presented <strong>in</strong> the tables.<br />

Chapter V provides the casual relationship between certa<strong>in</strong> variables and the<br />

outcome which they produced.<br />

Chapter VI briefs the summary <strong>of</strong> the ma<strong>in</strong> along with the policy implications that<br />

emerged from the f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> the study.<br />

Chapter VII, the f<strong>in</strong>al chapter list the references cited while undertak<strong>in</strong>g the research.


II. REVIEW OF LITERATURE<br />

In this chapter, an effort has been made to critically review the literature <strong>of</strong> the past<br />

research work relevance to the present study. S<strong>in</strong>ce, the studies related to <strong>food</strong> process<strong>in</strong>g<br />

and <strong>food</strong> <strong>retail<strong>in</strong>g</strong> <strong>in</strong> the country are relatively few, the available literature on the related<br />

subject has been reviewed and presented under the sections namely<br />

2.1 Documentation <strong>in</strong> <strong>food</strong> <strong>in</strong>dustries<br />

2.2 Organizational structure and <strong>in</strong>vestment pattern <strong>in</strong> agro-<strong>in</strong>dustries<br />

2.3 Procurement management <strong>in</strong> <strong>food</strong> <strong>in</strong>dustries<br />

2.4 Inventory management and its costs <strong>in</strong> <strong>food</strong> <strong>in</strong>dustries<br />

2.5 Process<strong>in</strong>g/Value addition <strong>in</strong> <strong>food</strong> <strong>retail<strong>in</strong>g</strong><br />

2.6 F<strong>in</strong>ancial management <strong>in</strong> <strong>food</strong> <strong>in</strong>dustries<br />

2.7 Factors considered and methods <strong>of</strong> price-formation <strong>in</strong> <strong>food</strong> <strong>retail<strong>in</strong>g</strong><br />

2.8 Constra<strong>in</strong>ts and measures to solve the problems faced by the <strong>food</strong> retailers.<br />

2.9 Factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase the <strong>food</strong> products <strong>in</strong> <strong>food</strong> retail<br />

outlets.<br />

2.1 DOCUMENTATION IN FOOD INDUSTRIES<br />

Dud<strong>in</strong>ov (1999) documented the practices <strong>of</strong> small enterprises operat<strong>in</strong>g <strong>in</strong> the <strong>food</strong><br />

sector <strong>in</strong> the USA, Germany and France with the aim <strong>of</strong> identify<strong>in</strong>g factors contribut<strong>in</strong>g to their<br />

success that could be used <strong>in</strong> develop<strong>in</strong>g this sector <strong>in</strong> Russia. The ma<strong>in</strong> types <strong>of</strong> small<br />

enterprise operat<strong>in</strong>g <strong>in</strong> each <strong>of</strong> these countries were described. In the USA, these were<br />

trad<strong>in</strong>g companies, wholesale-retail firms, small trad<strong>in</strong>g enterprises and cooperative societies.<br />

In Germany enterprises owned by a s<strong>in</strong>gle owner dom<strong>in</strong>ate; small retail enterprises account<br />

for approximately 60% <strong>of</strong> turnover <strong>in</strong> the German <strong>food</strong> market. In France, <strong>food</strong> <strong>retail<strong>in</strong>g</strong> was<br />

dom<strong>in</strong>ated by "self-service", which accounts for two thirds <strong>of</strong> enterprises <strong>in</strong> this sector.<br />

Hypermarkets and <strong>supermarket</strong>s accounted for 42% <strong>of</strong> <strong>food</strong> sales, super stores 9% and<br />

convenience stores 12%.<br />

Nikolov and Hughes (1999) <strong>in</strong> their study to explore the role <strong>of</strong> publicly-f<strong>in</strong>anced<br />

Agricultural Market Information Services (AMIS) organizations, both <strong>in</strong> developed Western<br />

economies (UK, Germany and USA) and <strong>in</strong> economies <strong>in</strong> transition (Poland, Czech Republic,<br />

Romania and Russia); and, tak<strong>in</strong>g the case <strong>of</strong> Bulgaria, to question whether agricultural<br />

market <strong>in</strong>formation services have fully performed the functions that they were designed for.<br />

The study reported that the price and trade liberalization have always been regarded as<br />

essential components <strong>of</strong> reform packages implemented <strong>in</strong> economies <strong>in</strong> transition. An <strong>in</strong>tegral<br />

component <strong>of</strong> any price and trade liberalization policy package <strong>in</strong> agriculture, typically, has<br />

been a programme to improve market <strong>in</strong>formation through establish<strong>in</strong>g AMIS. From an<br />

economic perspective, the importance <strong>of</strong> AMIS relates to their function <strong>in</strong> augment<strong>in</strong>g market<br />

<strong>in</strong>tegration through improv<strong>in</strong>g transparency <strong>in</strong> agricultural markets.<br />

Frick and Groenewald (1999) op<strong>in</strong>ed that the necessary data on agriculture must be<br />

available for public and private decision-makers <strong>in</strong> the agricultural sector to use agricultural<br />

<strong>in</strong>formation for decision-mak<strong>in</strong>g, solve problems or <strong>in</strong>crease their knowledge. As a result <strong>of</strong><br />

the deregulation <strong>of</strong> the agricultural market<strong>in</strong>g sector <strong>in</strong> South Africa, the supply <strong>of</strong> these data<br />

decreased. Also, the needs for data on agriculture <strong>of</strong> the various decision-makers, i.e. the<br />

policy-makers, researchers, agricultural service <strong>in</strong>dustries as well as the farmers and<br />

extension <strong>of</strong>ficers, changed. S<strong>in</strong>ce <strong>in</strong>formation systems are based on the needs <strong>of</strong> the<br />

decision-makers, the need for data on agriculture should be determ<strong>in</strong>ed before either exist<strong>in</strong>g<br />

methodologies are improved or new methodologies are <strong>in</strong>troduced to <strong>in</strong>crease the supply <strong>of</strong><br />

data on agriculture <strong>in</strong> South Africa.<br />

Atk<strong>in</strong>son et al. (2000) reported that the formulation <strong>of</strong> <strong>in</strong>formation and communication<br />

management strategies would facilitate the development <strong>of</strong> small-scale <strong>food</strong> process<strong>in</strong>g<br />

enterprises <strong>in</strong> African, Caribbean and Pacific countries. The specific aim was to conduct a<br />

critical review <strong>of</strong> the small-scale <strong>food</strong> process<strong>in</strong>g sector <strong>in</strong> Mozambique, South Africa and


Zambia which would highlight constra<strong>in</strong>ts relat<strong>in</strong>g to <strong>in</strong>formation and communication<br />

management issues. The report notes that improv<strong>in</strong>g the flow <strong>of</strong> <strong>in</strong>formation to small-scale<br />

<strong>food</strong> processors is crucial to their future success. The ma<strong>in</strong> generic recommendations were:<br />

(1) development <strong>of</strong> a regional network for <strong>in</strong>formation exchange; (2) establishment and<br />

development <strong>of</strong> Bus<strong>in</strong>ess Support Centers; and (3) development <strong>of</strong> an <strong>in</strong>formation support<br />

system for small-scale <strong>food</strong> process<strong>in</strong>g enterprises at the national level.<br />

Virichev (2000) reported that <strong>in</strong> an attempt to stabilize the <strong>food</strong> market and prices, the<br />

Moscow adm<strong>in</strong>istration set up a city reserve <strong>of</strong> basic commodities and an order<strong>in</strong>g system for<br />

fruit and vegetables. In 1999, purchases <strong>in</strong>cluded 680 000 tons <strong>of</strong> meat and meat products,<br />

500 000 tons <strong>of</strong> sugar, 1 200 000 tons <strong>of</strong> gra<strong>in</strong>, and large quantities <strong>of</strong> other essentials,<br />

enough to ensure supplies for Moscow. The supplies were funded from the budget, there<br />

were additional non-budget sources, and <strong>in</strong>terregional cooperation was actively pursued.<br />

Nevertheless, the national f<strong>in</strong>ancial crisis and the drop <strong>in</strong> harvests <strong>in</strong> some areas<br />

subsequently put considerable pressure on the system, compounded by the sharp <strong>in</strong>crease <strong>in</strong><br />

imported <strong>food</strong>s, which <strong>in</strong> turn further depressed domestic agricultural production. A major<br />

problem is the large number <strong>of</strong> middlemen, who have led to an unjustified <strong>in</strong>crease <strong>in</strong> prices<br />

and prevented the establishment <strong>of</strong> a price-monitor<strong>in</strong>g system. Appreciat<strong>in</strong>g that the key to a<br />

stable <strong>food</strong> supply is support for domestic growers, it was proposed that by 2010 a total <strong>of</strong> 25<br />

wholesale <strong>food</strong> markets (WFM), with the necessary <strong>in</strong>frastructure, should be set <strong>in</strong> 2 stages,<br />

some based on exist<strong>in</strong>g sites, some new. An <strong>in</strong>formation programme formed an important<br />

component <strong>of</strong> the programme. Consideration is currently be<strong>in</strong>g given to normative and<br />

legislative documentation designed to safeguard the operations <strong>of</strong> the WFM.<br />

Perk<strong>in</strong>s (2001) reviewed the state <strong>of</strong> the retail grocery market <strong>in</strong> Europe <strong>in</strong> 2001. It<br />

comments that although the <strong>food</strong> <strong>retail<strong>in</strong>g</strong> sector was fall<strong>in</strong>g as a percentage <strong>of</strong> overall retail<br />

sales across Europe, this was because <strong>of</strong> greater amounts <strong>of</strong> disposable <strong>in</strong>come be<strong>in</strong>g spent<br />

on non-essential services and goods. It also reflects on previous assertions that the arrival <strong>of</strong><br />

Wal-Mart <strong>in</strong> Europe would beg<strong>in</strong> a wave <strong>of</strong> consolidation. It goes on to discuss the mergers<br />

that have taken place recently and also the other types <strong>of</strong> jo<strong>in</strong>t ventures and alliances that<br />

have emerged. It views Wal-Mart as a potential predator <strong>in</strong> the major European markets.<br />

L<strong>in</strong>dgreen et al. (2004) exam<strong>in</strong>ed the extent to which companies <strong>in</strong> the Dutch <strong>food</strong><br />

<strong>retail<strong>in</strong>g</strong> sector were us<strong>in</strong>g the World Wide Web and its associated technologies to conduct<br />

their bus<strong>in</strong>ess. It analysed the commercial Web sites <strong>of</strong> Dutch <strong>food</strong> retail companies<br />

(number<strong>in</strong>g 34 <strong>in</strong> all) to determ<strong>in</strong>e which commerce processes were be<strong>in</strong>g supported onl<strong>in</strong>e <strong>in</strong><br />

this sector. The results <strong>of</strong> the research provided <strong>in</strong>sights to academics on the adoption <strong>of</strong><br />

electronic commerce <strong>in</strong> a particular <strong>in</strong>dustry sector and to <strong>food</strong> retail managers on their<br />

competitors' usage <strong>of</strong> the World Wide Web. The f<strong>in</strong>d<strong>in</strong>gs show that, generally, support for<br />

electronic commerce processes and sub-processes was merely 16% <strong>of</strong> the considered<br />

sample. Most retailers used Internet only as a medium <strong>of</strong> communication, although others<br />

have set up commercial Web sites that provide higher customer support. Several subprocesses<br />

appear to be supported such as core logistics, onl<strong>in</strong>e search <strong>of</strong> products and price<br />

<strong>in</strong>formation display and determ<strong>in</strong>ation. With the exception <strong>of</strong> search, there was practically no<br />

onl<strong>in</strong>e customization possible <strong>in</strong> the processes. A high correlation was observed between<br />

search, valuation, and authentication on the one hand and support for onl<strong>in</strong>e payment on the<br />

other hand. Lastly, there was no significant difference between regional/national retailers or<br />

firm size, especially for the search and valuation processes.<br />

Anders (2005) reported that due to <strong>in</strong>creas<strong>in</strong>g concentration and a rapidly chang<strong>in</strong>g<br />

competitive environment <strong>in</strong> many <strong>food</strong> markets, it was expected that farmers and processors<br />

suffer from the exertion <strong>of</strong> retail market power. This might be the case particularly on those<br />

regional markets where small-scale market<strong>in</strong>g structures dom<strong>in</strong>ate. Given this background,<br />

this study analysed the simultaneous exertion <strong>of</strong> retailers' market power <strong>in</strong> the regional output<br />

and <strong>in</strong>put markets <strong>of</strong> a segment <strong>of</strong> the German meat market. Based on the production-theory<br />

approach proposed by Goh<strong>in</strong> and Guyomard (Journal <strong>of</strong> Agricultural Economics (2000) 51(2),<br />

181-195) the model parameterizes the retail <strong>in</strong>dustry's oligopoly and oligopsony equilibria.<br />

Standard market power measures like Lerner <strong>in</strong>dexes were computed, and selected<br />

elasticities <strong>of</strong> factor supply and <strong>in</strong>dustry demand were provided. Results suggested that the<br />

hypothesis <strong>of</strong> perfect competition and price-tak<strong>in</strong>g behaviour clearly has to be rejected.<br />

However, estimates <strong>of</strong> conjectural elasticities <strong>in</strong>dicate retailers' upstream and downstream<br />

market power <strong>in</strong> regional meat market<strong>in</strong>g is limited.


Eastwood et al. (2005) study revealed that successful <strong>food</strong> <strong>retail<strong>in</strong>g</strong> depends to a<br />

significant degree on provid<strong>in</strong>g a positive shopp<strong>in</strong>g environment for consumers. The<br />

SERVQUAL format was one way <strong>of</strong> gather<strong>in</strong>g <strong>in</strong>formation about shoppers' ideal and actual<br />

rat<strong>in</strong>gs <strong>of</strong> an outlet's characteristics. Implementation <strong>of</strong> the methodology was shown to be an<br />

effective tool for a retailer to identify strengths and weaknesses with respect to patrons'<br />

evaluations <strong>of</strong> outlet characteristics. Six green grocers were selected to reflect the diversity <strong>of</strong><br />

outlets <strong>in</strong> Tennessee, and a survey <strong>of</strong> 1118 consumers <strong>in</strong> the selected outlets was conducted<br />

<strong>in</strong> the spr<strong>in</strong>g <strong>of</strong> 2000. Results <strong>in</strong>dicated that the consumer rat<strong>in</strong>gs vary by feature group for<br />

ideal, actual, and actual m<strong>in</strong>us ideal subgroup scores. The <strong>in</strong>formation could be used to<br />

generate better store-specific strategies to meet consumer expectations.<br />

2.2 ORGANIZATIONAL STRUCTURE AND INVESTMENT<br />

PATTERN IN AGRO-INDUSTRIES<br />

Muralidharan (1981) compared the establishment costs <strong>of</strong> three process<strong>in</strong>g units<br />

namely Sugar, gur and khandsari units <strong>in</strong> Mandya district <strong>of</strong> Karnataka. He found that<br />

establishment cost <strong>of</strong> the three units to be <strong>in</strong> the order <strong>of</strong> Rs. 4, 40, 28, 322.03 lakhs for sugar<br />

units, Rs. 46, 329.83 lakhs for gur unit and Rs. 9, 16, 722.38 lakhs for khandsari unit.<br />

Ipte and Borude (1982) studied on the economics <strong>of</strong> market<strong>in</strong>g and process<strong>in</strong>g <strong>of</strong><br />

cashew nut <strong>in</strong> Ratnagiri/ S<strong>in</strong>dhurdurga districts <strong>of</strong> Maharashtra state observed that capital<br />

<strong>in</strong>vestment <strong>in</strong> different groups <strong>of</strong> factories. It was Rs. 18, 54,710 lakhs <strong>of</strong> which 12.96% was<br />

fixed capital. The important items <strong>of</strong> fixed capital were <strong>in</strong>vestments on build<strong>in</strong>g and roast<strong>in</strong>g<br />

mach<strong>in</strong>ery, while the items <strong>of</strong> work<strong>in</strong>g capital were raw nuts, wages, and salaries, fuel,<br />

conta<strong>in</strong>ers, pack<strong>in</strong>g and packag<strong>in</strong>g. The capital <strong>in</strong>vestment was lowest Rs. 5, 20, 611 lakhs <strong>in</strong><br />

small factories and highest Rs. 71, 69, 548 lakhs <strong>in</strong> large size factories. It was also found that<br />

there was positive relationship between the size <strong>of</strong> the factory and capital <strong>in</strong>vested.<br />

Nagesh (1990) <strong>in</strong> his study on <strong>in</strong>vestment <strong>in</strong> production and market<strong>in</strong>g <strong>of</strong> cashew <strong>in</strong><br />

Karnataka, <strong>in</strong>dicated that the capital <strong>in</strong>vestment was the highest <strong>in</strong> build<strong>in</strong>g (72.81%) followed<br />

by mach<strong>in</strong>ery and equipments (15.42%) and land (11.77%) at an overall level <strong>of</strong> the units.<br />

Further, it was observed that the process<strong>in</strong>g units utilized only 55.80% <strong>of</strong> their capacity.<br />

Kalse et al. (1996) found that the <strong>in</strong>itial <strong>in</strong>vestment for the establishment <strong>of</strong> Oil<br />

<strong>in</strong>dustries, dhal mills and cotton g<strong>in</strong>n<strong>in</strong>g <strong>in</strong>dustries was Rs. 3.19, 4.81 and 5.63 lakh<br />

respectively. The cost <strong>of</strong> mach<strong>in</strong>ery was the major item contribut<strong>in</strong>g 61.43 & 59.12 per cent <strong>in</strong><br />

dhal mill and cotton g<strong>in</strong>n<strong>in</strong>g <strong>in</strong>dustry respectively. The average capacity utilization <strong>of</strong> Oil<br />

<strong>in</strong>dustry, dhal mill & cotton g<strong>in</strong>n<strong>in</strong>g <strong>in</strong>dustry was only 41.67, 71.20 and 47.79 per cent,<br />

respectively<br />

Sakia and Talukdar (1996) studied the economic potentialities <strong>of</strong> commercial<br />

process<strong>in</strong>g firms at farm level for major spices <strong>in</strong> Nagon district <strong>of</strong> Assam. It was observed<br />

that the average capital <strong>in</strong>vestments <strong>in</strong> commercial process<strong>in</strong>g units were Rs. 1.20 lakh, Rs.<br />

0.94 lakh and Rs. 0.78 lakh and <strong>in</strong>vestment <strong>in</strong> mach<strong>in</strong>ery and equipment shared the highest<br />

followed by opportunity cost <strong>of</strong> own land.<br />

Sr<strong>in</strong>ivasan (1997) studied the organization and management effectiveness <strong>of</strong><br />

regulated market committee; he observed more or less uniform organizational structure <strong>of</strong><br />

regulated markets <strong>in</strong> Tamil Nadu. In Thirukoilur regulated market alone the post <strong>of</strong> junior<br />

super<strong>in</strong>tendent existed. However, the number <strong>of</strong> posts <strong>in</strong> each cadre and the number <strong>of</strong> posts<br />

filled up varies directly with the quantum <strong>of</strong> arrivals.<br />

Ramandev (1998) observed the management appraisal <strong>of</strong> Cashew process<strong>in</strong>g<br />

<strong>in</strong>dustry <strong>in</strong> Uttara Kannada district <strong>of</strong> Karnataka. He found the l<strong>in</strong>e organization type <strong>of</strong><br />

structure <strong>in</strong> cashew process<strong>in</strong>g <strong>in</strong>dustry, which is simple and clear cut responsibility and<br />

authority with fast and easy feed back from the employees. The discipl<strong>in</strong>e among employees<br />

ma<strong>in</strong>ta<strong>in</strong>ed easily and effectively. Similarly, their salary expenditure <strong>in</strong>creased with <strong>in</strong>crease <strong>in</strong><br />

size <strong>of</strong> the unit.<br />

Efremenko (2000) presented an overview <strong>of</strong> the ma<strong>in</strong> aspects <strong>of</strong> organizational<br />

structure that currently exist <strong>in</strong> the Belarussian agricultural sector. Prospects for the<br />

development <strong>of</strong> new organizational and legal forms <strong>of</strong> commercial enterprises <strong>in</strong> the<br />

agricultural sector were considered, tak<strong>in</strong>g <strong>in</strong>to account the impact <strong>of</strong> the new Civil Code <strong>of</strong><br />

the Republic <strong>of</strong> Belarus. It was suggested that a new structure for "agribus<strong>in</strong>ess" could


gradually be established, and this would embrace a whole range <strong>of</strong> ownership and<br />

management types, <strong>in</strong>clud<strong>in</strong>g corporations (open and closed jo<strong>in</strong>t stock companies, and<br />

limited liability companies), partnerships, cooperatives (production and consumer) and<br />

<strong>in</strong>dividual ownership (unitary enterprises, and daughter or subord<strong>in</strong>ate companies).<br />

Mane (2000a) observed that both small and large starch units followed the l<strong>in</strong>e<br />

organization type <strong>of</strong> structure because <strong>of</strong> less number <strong>of</strong> activities and high <strong>in</strong>vestment <strong>in</strong><br />

these <strong>in</strong>dustries. This is also easy to develop a sense <strong>of</strong> belong<strong>in</strong>g to the organization,<br />

communication is fast and easy and feedback from the employees can be easily obta<strong>in</strong>ed and<br />

immediate corrective measures can be applied.<br />

Ushachev (2000) reported that the crisis <strong>in</strong> the agro-<strong>in</strong>dustrial complex (AIC) was<br />

attributed to a large extent to the absence <strong>of</strong> control <strong>of</strong> the socioeconomic processes<br />

occurr<strong>in</strong>g <strong>in</strong> it due to several reasons: the organizational structure <strong>of</strong> the AIC had allowed to<br />

dis<strong>in</strong>tegrate; many <strong>of</strong> the state's control functions have split among numerous m<strong>in</strong>istries and<br />

departments; and relevant <strong>of</strong>ficials were unprepared for the conditions <strong>of</strong> market economy.<br />

The strategy <strong>of</strong> the measures required to rectify the situation <strong>in</strong>volved: formulation <strong>of</strong> clear-cut<br />

objectives; step-by-step plann<strong>in</strong>g <strong>of</strong> the control system; and a time scale to ensure the<br />

measures are carried out. Practical implementation <strong>of</strong> this programme was discussed with<br />

specific proposals, <strong>in</strong>clud<strong>in</strong>g: establishment <strong>of</strong> a government council to coord<strong>in</strong>ate and<br />

develop the AIC; elim<strong>in</strong>ation <strong>of</strong> all forms <strong>of</strong> duplication among departments responsible for the<br />

AIC; mak<strong>in</strong>g the M<strong>in</strong>istry <strong>of</strong> Agriculture responsible for <strong>in</strong>ter- and <strong>in</strong>tradepartmental<br />

agricultural questions; establishment <strong>of</strong> an <strong>of</strong>ficial agency for state property with<strong>in</strong> the AIC;<br />

ensur<strong>in</strong>g a vertical governmental executive authority <strong>in</strong> the AIC system, at both regional and<br />

federal levels; strengthen<strong>in</strong>g <strong>of</strong> regional adm<strong>in</strong>istrative organizations; gradual conversion <strong>of</strong><br />

<strong>in</strong>tegrated, jo<strong>in</strong>t-stock type structures to cooperative forms; and development <strong>of</strong> a special<br />

federal programme for a s<strong>in</strong>gle AIC management system.<br />

Izvekov (2000) observed the switch from a centralized to a market economy <strong>in</strong> Russia<br />

has led to a change <strong>in</strong> the structure <strong>of</strong> the <strong>food</strong> distribution network and the rise <strong>of</strong> the<br />

wholesaler as the l<strong>in</strong>k between producer and retailer. An analysis was made <strong>of</strong> the wholesale<br />

sector, with particular reference to its role <strong>in</strong> shap<strong>in</strong>g the operat<strong>in</strong>g system employed. With<br />

regard to Russian conditions, the organizational structure and management system <strong>of</strong> the<br />

MERKA fruit and vegetable company, set up <strong>in</strong> Moscow <strong>in</strong> 1992, was described. A private<br />

company, it had a 2-tier structure: one embraces the commercial director, the chief eng<strong>in</strong>eer<br />

and accounts department, while the other operates the commercial trad<strong>in</strong>g operations. Its<br />

modus operandi was said to permit it to undercut its rivals' prices by 10-15%, not least by<br />

operat<strong>in</strong>g through regular foreign importers, an important factor <strong>in</strong> view <strong>of</strong> the current import<br />

levels <strong>of</strong> 80% <strong>of</strong> all fruits and vegetables.<br />

Kozachuk (2001) reported that any management practices exist<strong>in</strong>g <strong>in</strong> Russian<br />

enterprises were <strong>in</strong>appropriate for operat<strong>in</strong>g <strong>in</strong> market conditions. There was a clear need for<br />

management functions to be extended, and for new methods and approaches to<br />

management that are suitable for different ownership types to be developed. The process <strong>of</strong><br />

manag<strong>in</strong>g a trad<strong>in</strong>g enterprise should be based on market pr<strong>in</strong>ciples and modern<br />

management methodologies. Key ideas <strong>in</strong> western management theory were considered, and<br />

used as the basis for different models <strong>of</strong> organizational structure <strong>in</strong> trad<strong>in</strong>g enterprises. These<br />

models <strong>in</strong>clude: the functional structure, where positions are grouped accord<strong>in</strong>g to their ma<strong>in</strong><br />

functional area; the divisional structure, where positions are grouped by similarity <strong>of</strong> products<br />

or services; and hybrid structures, which <strong>in</strong>corporate elements <strong>of</strong> both functional and<br />

divisional structures. Different management styles were also considered, specifically the<br />

directive and democratic styles. It was stressed that the choice <strong>of</strong> management style<br />

<strong>in</strong>fluenced by the economic situation and functional characteristics <strong>of</strong> any given trad<strong>in</strong>g<br />

enterprise.<br />

Hasert (2001) conducted an analysis <strong>of</strong> the competitiveness <strong>of</strong> milk production,<br />

consider<strong>in</strong>g the unique condition <strong>of</strong> the eastern prov<strong>in</strong>ces <strong>of</strong> Germany. Based on experiences<br />

and compar<strong>in</strong>g statistical data <strong>of</strong> the territory, key factors for pr<strong>of</strong>it were concentration,<br />

specialization and strict management <strong>of</strong> expenditures. Author suggested the optimal farm size<br />

to be 300-600 cows per farm. Accord<strong>in</strong>g to the <strong>in</strong>come and <strong>of</strong> the specific <strong>in</strong>puts, the<br />

pr<strong>of</strong>itability threshold was 7000 kg/cow. The precondition for successful economical<br />

function<strong>in</strong>g was a management which was pr<strong>of</strong>essional, had strict management <strong>of</strong><br />

expenditures and was highly motivated. In this organizational structure, there was a chance


and the potential <strong>of</strong> pr<strong>of</strong>itable milk production based on employed workers, and was<br />

competitive to farm<strong>in</strong>g systems based on family ownership.<br />

Wilson and Thompson (2003) analysed the organizational structure <strong>of</strong> the fresh<br />

produce <strong>in</strong>dustry <strong>in</strong> the western USA, Florida, and Mexico, operat<strong>in</strong>g <strong>in</strong> a competitive<br />

environment. It used the data obta<strong>in</strong>ed from <strong>in</strong>terviews with 83 grower-shippers <strong>in</strong> 1995-96.<br />

Traditional views and models <strong>of</strong> perishable <strong>food</strong> suppliers fail to capture the fundamental role<br />

<strong>of</strong> time <strong>in</strong>tegration <strong>in</strong> firm-level organization. A two-phase research design <strong>of</strong> major grower<br />

(shipper firms <strong>of</strong> lettuce, tomatoes, and melons) reveals a diverse distribution <strong>of</strong> firms across<br />

the time <strong>in</strong>tegration cont<strong>in</strong>uum. Most firms used more than one microclimate to extend<br />

product availability. Decision makers were encouraged to understand the implications <strong>of</strong><br />

these temporally <strong>in</strong>tegrated organizations on agricultural and trade policy.<br />

Feher (2004) focused on efforts to reform the government structures, <strong>in</strong> particular the<br />

m<strong>in</strong>istries <strong>of</strong> agriculture, <strong>in</strong> the transition countries <strong>of</strong> Central and Eastern Europe <strong>in</strong> light <strong>of</strong><br />

their EU accession. To guide the necessary reforms <strong>in</strong> the public sector, several governments<br />

adopted a medium-term strategy for public sector reforms. An <strong>in</strong>tegral part <strong>of</strong> the strategy was<br />

functional analysis that would help to re-orient m<strong>in</strong>istries <strong>of</strong> agriculture to carry out their policy,<br />

regulatory and service delivery responsibilities cost-effectively, with full transparency to the<br />

government, and with sensitivity and courtesy to the public. The study makes comprehensive<br />

recommendations for the abolition, rationalization, privatization and transfer <strong>of</strong> functions with<strong>in</strong><br />

the agriculture sector, together with recommendations on how rema<strong>in</strong><strong>in</strong>g and new functions<br />

could be structured <strong>in</strong> effective organizational units for both the medium and long term. The<br />

benefits <strong>of</strong> the functional review were to streaml<strong>in</strong>e decision mak<strong>in</strong>g and implementation, and<br />

strengthen the accountability <strong>of</strong> subsidiary <strong>in</strong>stitutions.<br />

2.3 PROCUREMENT MANAGEMENT IN FOOD INDUSTRIES<br />

Natarajan (1990) observed that the major cost <strong>in</strong> milk production was cattle feed<br />

(20%). He suggested that Agricultural Price Commission <strong>in</strong> consultation with Economic<br />

M<strong>in</strong>istries and Plann<strong>in</strong>g Commission to recommend, from time to time to the procurement and<br />

support prices <strong>of</strong> milk and milk products as done for other agricultural commodities. In<br />

addition, he reported that for better performance <strong>of</strong> Dairy Co-operative Societies (DCS), four<br />

factors were important viz., high milk utilization, better milk market<strong>in</strong>g, distribution <strong>of</strong> cattle<br />

feed and credit for buy<strong>in</strong>g and technical assistance to milk producers through co-operatives.<br />

Balasubramanian and Prema (1996) <strong>in</strong> their study on process<strong>in</strong>g and trad<strong>in</strong>g <strong>of</strong><br />

cashew nuts <strong>in</strong> India observed that the total process<strong>in</strong>g and raw material costs accounted for<br />

about 70%, labour charges 10.5%, purchase taxes 5%, freight and handl<strong>in</strong>g charges 5%,<br />

pack<strong>in</strong>g cost 4.5% and rema<strong>in</strong><strong>in</strong>g 5% was contributed by costs <strong>of</strong> power, fuel, depreciation<br />

and overheads all put together.<br />

Bouvier-parton-P (1998) <strong>in</strong> his study on contractual forms between retailers and their<br />

suppliers <strong>in</strong> the <strong>food</strong> sector reported that vertical <strong>in</strong>tegration and contractual relations are the<br />

two ma<strong>in</strong> features <strong>of</strong> the French <strong>food</strong>-<strong>retail<strong>in</strong>g</strong> sector. The economic weights <strong>of</strong> these are<br />

more or less similar. However, <strong>in</strong> the long run it seems that (a) the contractual side is more<br />

important than the <strong>in</strong>tegrated one and that (b) contractual forms related to high quality tend<br />

now to be dom<strong>in</strong>ant.<br />

Woods et al. (2000) exam<strong>in</strong>ed the supply cha<strong>in</strong> concept for horticultural products<br />

which were characterized by perishability, heterogeneity and lags <strong>in</strong> production response to<br />

market signals, producer’s pr<strong>of</strong>its are vulnerable to quantity, tim<strong>in</strong>g <strong>of</strong> supply and product<br />

specification. Many supply cha<strong>in</strong>s <strong>in</strong> smaller <strong>in</strong>dustries were loose, fragmented, <strong>in</strong>terwoven,<br />

unstable and unique. Hence, he suggested the firms operat<strong>in</strong>g <strong>in</strong> with<strong>in</strong> these environments<br />

needs an astute understand<strong>in</strong>g <strong>of</strong> the cha<strong>in</strong>s, the hierarchy <strong>of</strong> channel members and their<br />

relative position. Effective bus<strong>in</strong>ess strategies for <strong>in</strong>dividual firms and supply cha<strong>in</strong>s need to<br />

be developed and redeveloped to accommodate the dynamic nature <strong>of</strong> horticulture.<br />

Leht<strong>in</strong>en et al. (2002) <strong>in</strong> their study on contract manufactur<strong>in</strong>g <strong>in</strong> F<strong>in</strong>nish <strong>food</strong><br />

<strong>in</strong>dustry, found that <strong>in</strong> the future, direct deliveries from the contract manufacturer to retail<br />

stores will <strong>in</strong>crease, the delivery times will shorten and thus, more flexibility is needed from<br />

the contract manufacturer.


We<strong>in</strong>dlmaier et al. (2002) conducted a survey <strong>in</strong> the Bavarian (Germany) <strong>food</strong><br />

<strong>in</strong>dustry (with 153 respondents). The study shows that from the po<strong>in</strong>t <strong>of</strong> view <strong>of</strong> the<br />

processors, <strong>in</strong> the near future quality management system <strong>in</strong> agricultural firm might be a prerequisite<br />

to deliver raw materials to the <strong>food</strong> <strong>in</strong>dustry.<br />

L<strong>in</strong>dgreen and H<strong>in</strong>gley (2003) discussed the measures taken by Tesco Food Company <strong>in</strong><br />

sett<strong>in</strong>g up effective guidel<strong>in</strong>es for manag<strong>in</strong>g its relationships with neat suppliers. These<br />

guidel<strong>in</strong>es make it possible for serious <strong>food</strong> scares and to address consumers concern over<br />

animal welfare and environmental issues. Specific <strong>in</strong>itiatives <strong>in</strong>clude different animals, feeds<br />

and medic<strong>in</strong>al policies and schemes have been implemented by both Tesco and the meat<br />

suppliers. The benefits <strong>of</strong> Tesco’s approach to its suppliers and consumers are considered<br />

and <strong>in</strong>cluded the ability to deliver higher value products.<br />

Narayana Reddy (2004) <strong>in</strong> his study reported that most (61%) <strong>of</strong> the retailers get their<br />

requirements from wholesalers, 15% from the large and other retailers. Over 17% <strong>of</strong> the<br />

selected retailers get their goods from more than one source, but a small percentage <strong>of</strong><br />

retailers get some <strong>of</strong> their requirements from producers. From the side <strong>of</strong> the terms <strong>of</strong> supply<br />

67% <strong>of</strong> retailers get their requirements by pay<strong>in</strong>g cash. Only 13% <strong>of</strong> the retailers get their<br />

requirements on credit and 19% get credit partly from the suppliers. Apart from this, the study<br />

also shows that the organized retailers/hyper malls and super marketers get wholesales’<br />

marg<strong>in</strong> plus concession as they buy <strong>in</strong> bulk and are also the producers.<br />

Anonymous (2006) reported that <strong>in</strong> USA <strong>food</strong> <strong>retail<strong>in</strong>g</strong>, labor was the largest s<strong>in</strong>gle<br />

market<strong>in</strong>g cost, account<strong>in</strong>g for half the <strong>in</strong>dustry’s expenses beyond the farm. Food retailers<br />

employ more than 3.5 million workers. The <strong>in</strong>dustry’s next highest costs were for packag<strong>in</strong>g<br />

(8.0 percent), and transportation and energy (a comb<strong>in</strong>ed 7.5 percent). Recent trends such as<br />

high energy costs and the ris<strong>in</strong>g demand for more convenient packag<strong>in</strong>g have <strong>in</strong>creased all<br />

these expenses.<br />

2.4 INVENTORY MANAGEMENT AND ITS COSTS IN FOOD<br />

INDUSTRIES<br />

Blayney and Weimar (1991) analysed four general alternatives to the current US<br />

dairy programme, each with the objectives <strong>of</strong> avoid<strong>in</strong>g large milk surpluses were studied by<br />

USDA. These were: (1) a target price/deficiency payment programme; (2) a reclassification<br />

plan, commonly called the Class IV plan; (3) two-tier pric<strong>in</strong>g; and (4) milk market<strong>in</strong>g diversion.<br />

Us<strong>in</strong>g a rat<strong>in</strong>g system to evaluate each proposed programme's effect on production, use,<br />

prices, farm receipts, retail value, and government cost, it was concluded that the current<br />

programme measured up well aga<strong>in</strong>st the options studied. Although the current programme<br />

did not guarantee producers a pr<strong>of</strong>it, it provided the market signals <strong>in</strong>dividuals need to make<br />

decisions and acted as a price floor to stabilize downsw<strong>in</strong>gs <strong>in</strong> prices.<br />

Farsad and LeBruto (2003) reported that the consequences <strong>of</strong> overstock<strong>in</strong>g items or<br />

understock<strong>in</strong>g were undesirable. Overstocks absorb money and <strong>in</strong>vite waste. Understocks<br />

risk disappo<strong>in</strong>t<strong>in</strong>g customers with unavailable menu items or add to <strong>food</strong> costs by requir<strong>in</strong>g<br />

emergency runs to the cash and carry. Through analysis <strong>of</strong> daily item use and an application<br />

<strong>of</strong> risk, managers could calculate when to reorder; that is, when there is sufficient stock to<br />

cover typical demand until the next delivery. To account for unexpected demand, some safety<br />

stock must be <strong>in</strong>cluded (by calculat<strong>in</strong>g the standard deviation <strong>of</strong> each day's use for the past<br />

time period, say, a week, and factor<strong>in</strong>g that with the Z score <strong>of</strong> the service-level probability<br />

that management is will<strong>in</strong>g to absorb). By factor<strong>in</strong>g the lead time (delivery and <strong>food</strong>-prep), the<br />

standard deviation <strong>of</strong> the usage, and the acceptable probability <strong>of</strong> a stockout, managers can<br />

use a formula to determ<strong>in</strong>e precisely when to reorder.<br />

McCool (1996) study described the challenges that make <strong>in</strong>ventory management a<br />

problematic issue for <strong>in</strong>-flight caterers' f<strong>in</strong>ancial management practices. In-flight kitchens are a<br />

logistics operation, and effective <strong>in</strong>ventory management and detailed product usage controls<br />

were essential for overall cost control. They were most efficiently operated as large<br />

production <strong>food</strong> factories with assembly l<strong>in</strong>e production <strong>of</strong> passenger trays. The different<br />

requirements <strong>of</strong> <strong>in</strong>dividual airl<strong>in</strong>es, which may have an account with the caterer, add<br />

considerably to the caterer's costs and must be reflected <strong>in</strong> the pric<strong>in</strong>g <strong>of</strong>fered to the airl<strong>in</strong>es.


A pric<strong>in</strong>g system was developed which elim<strong>in</strong>ates product <strong>food</strong> cost as the basis <strong>of</strong> pric<strong>in</strong>g<br />

and which places new emphasis on actual labour requirements to produce, package, store,<br />

and distribute the products and menu items selected by each airl<strong>in</strong>e.<br />

Chandrashekaran (1999) <strong>in</strong> his estimation <strong>of</strong> storage costs for a multi crores, multi<br />

product and multi-location firm found that there existed three different systems <strong>of</strong> storage<br />

namely company owned, company leased and dealer owned ware-hous<strong>in</strong>g facilities. Of these<br />

three different facilities, he found that dealer owned system to be the cheapest and the<br />

company owned system to be the costliest facility.<br />

Ashraf Ali (2000) <strong>in</strong> his study on bus<strong>in</strong>ess performance <strong>of</strong> co-operative oil mills<br />

observed that the <strong>in</strong>terest on capital locked <strong>in</strong> carry<strong>in</strong>g the <strong>in</strong>ventory, store ma<strong>in</strong>tenance and<br />

storage costs and material losses were the major components <strong>in</strong> the overall cost <strong>of</strong> the<br />

<strong>in</strong>ventory management for both large and medium scale units.<br />

Lichtenberg and Zilberman (2000) developed a model to exam<strong>in</strong>e storage technology<br />

choices <strong>in</strong> the <strong>in</strong>ventory management <strong>of</strong> commodities that are relatively highly perishables,<br />

and their impacts on resource allocation, prices, the environment, and the economic welfare<br />

<strong>of</strong> consumers or producers. The model was used to derive the socially optimal level <strong>of</strong><br />

spoilage reduc<strong>in</strong>g <strong>in</strong>put use and to exam<strong>in</strong>e the effects <strong>of</strong> alternative policies for address<strong>in</strong>g<br />

environmental damage on supply, market equilibrium and consumer and producer <strong>in</strong>comes. It<br />

was shown that storage technology choices affect total output as well as the temporal<br />

distribution <strong>of</strong> supply, consumption, and prices.<br />

Vickener et al. (2002) found that <strong>in</strong>vestment <strong>in</strong> supply cha<strong>in</strong> management technology<br />

<strong>in</strong> US <strong>food</strong> <strong>in</strong>dustry was extensive, particularly so <strong>in</strong> the restaurant or <strong>food</strong><strong>–</strong>away-from<strong>–</strong>home<br />

(FAFH) sub sector. From 1980 to 1995, <strong>in</strong>ventory turns <strong>in</strong> the restaurant sub sector have<br />

effectively doubled, <strong>in</strong>creas<strong>in</strong>g from 26 to 51. This means FAFH <strong>in</strong>ventories were entirely<br />

replenished once a week, down from the 14 days supply ma<strong>in</strong>ta<strong>in</strong>ed two decades ago. Over<br />

the same period, total market capitalization grew at a compounded annual growth rate <strong>of</strong> 17%<br />

from $ 5 to $53 billion. Based on the co-<strong>in</strong>tegration model estimated, they found that for every<br />

one unit <strong>in</strong>crease <strong>in</strong> <strong>in</strong>ventory turnover, market capitalization <strong>in</strong>creased by $479 million <strong>in</strong> the<br />

FAFH <strong>in</strong>dustry over the analysis period. Thus, the equity capital market places a premium on<br />

the efficient management <strong>of</strong> <strong>in</strong>ventories <strong>in</strong> the <strong>food</strong> system and rewards those firms that<br />

develop, adopt and implement supply cha<strong>in</strong> technologies.<br />

Ne<strong>in</strong> PiChu and Roan ShiiWen (2004) reported that as computers are more and more<br />

widely used <strong>in</strong> livestock production and farmers manufactur<strong>in</strong>g their own feeds were grow<strong>in</strong>g<br />

more popular <strong>in</strong> Taiwan. This study was conducted to design a package which <strong>in</strong>cluded<br />

simple feed formulation and <strong>in</strong>gredient <strong>in</strong>ventory management to meet the farmers' needs,<br />

and to provide them with a more effective management regime <strong>of</strong> the feed <strong>in</strong>gredients. This<br />

system was written <strong>in</strong> Micros<strong>of</strong>t Visual Basic 6.0 programm<strong>in</strong>g language and Micros<strong>of</strong>t<br />

Access database. The system was divided <strong>in</strong>to four modules <strong>in</strong> terms <strong>of</strong> <strong>in</strong>putt<strong>in</strong>g basic data,<br />

formulation calculation, <strong>in</strong>ventory management, and pr<strong>in</strong>t<strong>in</strong>g report. The <strong>in</strong>ventory<br />

management system could facilitate the managers <strong>in</strong> monitor<strong>in</strong>g the <strong>in</strong>ventory to make the<br />

most effective adjustment and usage <strong>of</strong> the <strong>in</strong>gredients. The managers could, therefore, load<br />

their <strong>in</strong>gredients at the right time to avoid wastage and to reduce their <strong>in</strong>gredient costs. This<br />

system could be executed on W<strong>in</strong>dows operation system and enable the farmers to consider<br />

their livestock growth condition to make it as a calculation tool to formulate animal feeds<br />

rapidly.<br />

2.5 PROCESSING / VALUE ADDITION IN FOOD RETAILING<br />

S<strong>in</strong>gh et al. (1994) <strong>in</strong> a study on economics <strong>of</strong> market<strong>in</strong>g and process<strong>in</strong>g <strong>of</strong> pulses <strong>in</strong><br />

Banda district (Uttar Pradesh) observed that per qu<strong>in</strong>tal cost <strong>of</strong> process<strong>in</strong>g <strong>of</strong> arhar, gram,<br />

and lentil was Rs. 831.67, Rs. 823.47 and Rs. 752.05, respectively.<br />

Katz and Boland (2000) study revealed that US premium Beef Ltd, a Cooperative<br />

partnership between all segments <strong>of</strong> the beef <strong>in</strong>dustry value cha<strong>in</strong> was afford<strong>in</strong>g each<br />

segment on <strong>in</strong>terest <strong>in</strong> the key stages <strong>of</strong> beef production and process<strong>in</strong>g, as well as equal<br />

share <strong>of</strong> the f<strong>in</strong>ancial risks and rewards. This value added strategy was accomplished through<br />

vertical <strong>in</strong>tegration and add<strong>in</strong>g a quality-based pric<strong>in</strong>g structure to more closely l<strong>in</strong>k beef<br />

producers and consumers.


Beverland (2001) analysed the level <strong>of</strong> brand awareness with<strong>in</strong> the New Zealand<br />

market for ZESPRI kiwi fruit, the effectiveness <strong>of</strong> this brand<strong>in</strong>g strategy employed by kiwi fruit<br />

New Zealand s<strong>in</strong>ce it creates value to this fruit, and the implications <strong>of</strong> this f<strong>in</strong>d<strong>in</strong>gs for<br />

agribus<strong>in</strong>ess <strong>in</strong> general us<strong>in</strong>g the data collected from surveys <strong>of</strong> kiwi fruit consumers (n=106)<br />

outside three major super market cha<strong>in</strong>s <strong>in</strong> Auckland, New Zealand. The results suggested<br />

that the level <strong>of</strong> brand awareness for ZESPRI is low among consumers. It is <strong>in</strong>dicated that<br />

brand awareness could be <strong>in</strong>creased through a relationship market<strong>in</strong>g programme <strong>in</strong>volv<strong>in</strong>g<br />

targeted market<strong>in</strong>g and supply cha<strong>in</strong> management.<br />

Mahesh and Nagaraja (2002) reported that the value addition <strong>of</strong> cashew (Anacardium<br />

occidentale) kernel baby bits (CKBB) was attempted by coat<strong>in</strong>g with cane sugar, honey and<br />

salt. Optimum coat<strong>in</strong>g occurs at 100 degrees C for 5 m<strong>in</strong> at 70% concentration for cane sugar<br />

and honey, and 5% for salt. Sweetened (70%) and vanill<strong>in</strong> (0.1%) flavoured CKBB are the<br />

most preferred. De-fatt<strong>in</strong>g <strong>of</strong> CKBB enhances the per cent coat<strong>in</strong>g. Coat<strong>in</strong>g <strong>of</strong> cashew kernels<br />

<strong>of</strong> different grades with cane sugar at 70% is dependent on the surface area. Cashew apple<br />

juice could be coated on the CKBB. Acceptability <strong>of</strong> cashew apple juice coated baby bits (BB)<br />

improves with the addition <strong>of</strong> cane sugar at 70% concentration. Permitted colours and cane<br />

sugar compete with each other dur<strong>in</strong>g coat<strong>in</strong>g.<br />

Madhuri and Kam<strong>in</strong>i Devi (2003) found that <strong>in</strong> watermelon, the r<strong>in</strong>d constituted 33%<br />

<strong>of</strong> the whole fruit weight. Value added preserved products like pickles, tutti fruity, vadiyams<br />

and cheese were prepared us<strong>in</strong>g the white portion <strong>of</strong> watermelon r<strong>in</strong>d. The quality <strong>of</strong> products<br />

<strong>in</strong> terms <strong>of</strong> physical parameters was evaluated. All products were subjected to sensory<br />

evaluation test us<strong>in</strong>g a panel <strong>of</strong> 20 judges. Results showed that mean sensory scores for<br />

product attributes were high. There was no change <strong>in</strong> mean scores after one month storage.<br />

Santhosh Kumar et al. (2003) <strong>in</strong> exam<strong>in</strong>ed the Indian research efforts <strong>in</strong> vegetable<br />

crops, new niches for vegetable production, and the impact <strong>of</strong> pest management research. It<br />

was <strong>in</strong>dicated that the ongo<strong>in</strong>g research programmes on vegetables address<strong>in</strong>g many<br />

emerg<strong>in</strong>g challenges, there is a wide scope for <strong>in</strong>novative improvements and a sharper focus<br />

on vegetable process<strong>in</strong>g, value addition and quality control.<br />

Subas<strong>in</strong>ghe (2003) studied the different <strong>in</strong>novations used by <strong>food</strong> processors to add<br />

value to aquaculture products such as shrimps, <strong>in</strong> order to survive <strong>in</strong> a highly competitive<br />

market environment. Some <strong>of</strong> these <strong>in</strong>novations were focused on the packag<strong>in</strong>g and<br />

presentation <strong>of</strong> the shrimps, whereas others focused on pre-process<strong>in</strong>g/process<strong>in</strong>g, such as<br />

peel<strong>in</strong>g, preparation <strong>of</strong> breaded products, application <strong>of</strong> batters, and production <strong>of</strong> other<br />

shrimp-based products.<br />

Arora et al. (2004) found that vegetable wash<strong>in</strong>g is an important primary process unit<br />

operation for value addition <strong>of</strong> the produce at farm level. Wash<strong>in</strong>g is used not only to remove<br />

field soil, dust, pesticides, but also the surface microbial load. Carrots, potatoes and sp<strong>in</strong>ach<br />

were washed mechanically <strong>in</strong> a rotary vegetable wash<strong>in</strong>g mach<strong>in</strong>e at vary<strong>in</strong>g speed and time<br />

and then evaluated for their quality. The microbiological wash<strong>in</strong>g efficiency, which is<br />

calculated by observ<strong>in</strong>g the total viable count <strong>of</strong> the surface <strong>of</strong> the vegetables before and after<br />

wash<strong>in</strong>g ranged between 96.5-99.8% as compared to recommended 80% <strong>in</strong>dicat<strong>in</strong>g the<br />

adequacy <strong>of</strong> the vegetable wash<strong>in</strong>g mach<strong>in</strong>e.<br />

Kaveri and B<strong>in</strong>dhu (2004) showed the effect <strong>of</strong> substitut<strong>in</strong>g 50% <strong>of</strong> the pulse fraction<br />

<strong>of</strong> 10 Indian recipes (adai, pessarattu, pla<strong>in</strong> dosai, masal vadai, seeyam, mysore bonda,<br />

kandharappam, dhokla, maladu and moong dhal halwa) with whole or defatted soyabean flour<br />

on quality and nutritive value. The results showed that all recipes substituted with whole<br />

soyabean flour had higher carbohydrate and calorie contents than traditional and defatted<br />

soyabean flour-substituted recipes. Calcium, phosphorus, iron and prote<strong>in</strong> contents were<br />

higher <strong>in</strong> substituted than traditional recipes. The flavour, taste and degree <strong>of</strong> lik<strong>in</strong>g <strong>of</strong> whole<br />

soyabean flour-substituted and traditional recipes were almost similar. It was concluded that<br />

whole soyabean flour could be <strong>in</strong>cluded <strong>in</strong> the daily diet by <strong>in</strong>corporat<strong>in</strong>g <strong>in</strong> recipes at 50%<br />

level.<br />

Ramakrishnaiah et al. (2004) attempted to study the technology package developed<br />

to retrieve the cotyledon material from the dhal mill by-products conta<strong>in</strong><strong>in</strong>g about 50%<br />

cotyledon material amount<strong>in</strong>g to one million tonne and also ref<strong>in</strong><strong>in</strong>g the same to an<br />

acceptable/desired level. The technology consists <strong>of</strong> de-ston<strong>in</strong>g, size separation, and air<br />

classification followed by ref<strong>in</strong><strong>in</strong>g and thermal stabilization <strong>of</strong> edible material. About 30-35% <strong>of</strong>


the cotyledon material was recovered from the by-products from the commercial dhal mills<br />

and used <strong>in</strong> the preparation <strong>of</strong> traditional pulse based products. It could be substituted <strong>in</strong><br />

pulse-based products such as vada, rasam/sambar and papads upto about 50%. Adoption <strong>of</strong><br />

this technology by dhal millers <strong>in</strong> the country would result <strong>in</strong> the recovery <strong>of</strong> about 5 lakh<br />

tonnes <strong>of</strong> cotyledon material valued at Rs. 500, which could contribute to the economic<br />

upliftment <strong>of</strong> the <strong>in</strong>dustry.<br />

2.6 FACTORS CONSIDERED AND METHODS OF PRICE-<br />

FORMATION IN FOOD RETAILING<br />

Gautam Bhattacharya and Simons (1999)study revealed that the persistence <strong>of</strong> low<br />

quality was expla<strong>in</strong>ed with rational, strategic behaviour <strong>of</strong> producers and consumers <strong>of</strong><br />

experience goods <strong>in</strong> <strong>in</strong>formal markets, where quality was revealed after purchase, price was<br />

determ<strong>in</strong>ed by barga<strong>in</strong><strong>in</strong>g, and renegotiation <strong>of</strong> price does not necessarily follow after quality<br />

is improved by the seller. Start<strong>in</strong>g from a given contract between a buyer and a seller at a<br />

given price that has been reached through costly barga<strong>in</strong><strong>in</strong>g, assume that after the exist<strong>in</strong>g<br />

quality was revealed, the seller comes across a project (possibly adoption <strong>of</strong> better<br />

technology), which will enhance exist<strong>in</strong>g quality. If the project is efficient, it will always be<br />

adopted by any formal market structure.<br />

Rosecky and K<strong>in</strong>g (2000) said that the accepted economic theory suggests the prices<br />

<strong>of</strong> commonly available products <strong>in</strong> competitive markets are likely to be approximately the<br />

same. If monopoly prices can be extracted, the result<strong>in</strong>g pr<strong>of</strong>its attract competitors <strong>in</strong>to the<br />

market. In his study, he exam<strong>in</strong>ed the prevail<strong>in</strong>g prices <strong>in</strong> detail for a large number <strong>of</strong><br />

commonly available <strong>supermarket</strong> products <strong>in</strong> France, the United K<strong>in</strong>gdom, and the USA. The<br />

results <strong>of</strong> this study show that some products have very similar or the same prices and other<br />

products have different pric<strong>in</strong>g pattern.<br />

Santiago et al. (2000) conducted a pilot sample survey <strong>in</strong> 1997 to study the structural<br />

features <strong>of</strong> the <strong>food</strong>stuff wholesale market <strong>in</strong> Sao Paulo city, Brazil. The usual pric<strong>in</strong>g process<br />

<strong>in</strong> this market was simply achieved by add<strong>in</strong>g a markup to the costs. However, some<br />

wholesalers obta<strong>in</strong> price <strong>in</strong>formation from other wholesalers, especially those established far<br />

from the ma<strong>in</strong> wholesale areas. Wholesalers are used to buy<strong>in</strong>g products from farmers<br />

(particularly non-manufactured <strong>food</strong>stuffs like potato, onion and eggs), from jobbers or other<br />

wholesalers (maize and garlic), from the jobbers and <strong>in</strong>dustries (rice), from <strong>in</strong>dustries and<br />

other wholesalers (beans, meat, sugar, c<strong>of</strong>fee and wheat flour). Most wholesalers sell to<br />

retailers, but some also sell to other wholesalers, to restaurants, to <strong>in</strong>dustries and even to<br />

consumers.<br />

Todorova (2000) presented a method <strong>of</strong> price determ<strong>in</strong>ation, which was based on<br />

comparisons <strong>of</strong> prices, technical and trade parameters <strong>of</strong> competitive products <strong>in</strong> the case <strong>of</strong><br />

greenhouse tomatoes from Bulgaria and Turkey. The price <strong>of</strong> Bulgarian greenhouse tomatoes<br />

was determ<strong>in</strong>ed to be 2.65 leva, i.e. 32.4% higher than that <strong>of</strong> the Turkish ones.<br />

Herrmann et al. (2001) expla<strong>in</strong>ed theoretical aspects <strong>of</strong> pric<strong>in</strong>g and consumer<br />

behaviour and to analyse them with reference to groups <strong>of</strong> breakfast products, us<strong>in</strong>g German<br />

data from September 1996 to June 1999. The results <strong>in</strong>dicated major significance <strong>of</strong> special<br />

<strong>of</strong>fers; on average, out <strong>of</strong> 20 groups <strong>of</strong> <strong>food</strong>s, one product <strong>in</strong> each group was <strong>of</strong>fered at a<br />

discount every two weeks. Special <strong>of</strong>fers had very marked effects on sales, which <strong>in</strong> some<br />

cases rose by 274%. Demand was greatest for products with a long storage life, such as<br />

c<strong>of</strong>fee. It appears likely that consumers bought some items only dur<strong>in</strong>g special <strong>of</strong>fer periods.<br />

There was very strong consumer reaction to price changes for jams and breakfast cereals. An<br />

active pric<strong>in</strong>g policy thus represents a central market<strong>in</strong>g <strong>in</strong>strument <strong>in</strong> <strong>food</strong> <strong>retail<strong>in</strong>g</strong>; this was<br />

consistent with strong consumer reaction to price changes. It does not confirm the textbook<br />

statement that price elasticity <strong>of</strong> demand for <strong>food</strong> products is low. It does, however, diverge<br />

between types <strong>of</strong> retail outlet and product types, Nevertheless consumer reaction was very<br />

strong.<br />

Ramadhani (2002) study suggests that there was a substantial amount <strong>of</strong> trad<strong>in</strong>g and<br />

consumption <strong>of</strong> the fruits <strong>in</strong> both rural and urban areas <strong>of</strong> Zimbabwe. The market<strong>in</strong>g system<br />

was characterized by lack <strong>of</strong> production, as all fruits were collected from the natural forests.<br />

There were numerous collectors and retailers but few wholesalers. There was also no<br />

sophisticated product differentiation. There was a lack <strong>of</strong> an adequate price formation


mechanism as prices were based on <strong>in</strong>formation from neighbours, knowledge <strong>of</strong> previous<br />

seasons and total cost <strong>in</strong>curred by traders.<br />

Yu ChihCh<strong>in</strong>g and Connor’s (2002) Newmark was one <strong>of</strong> the two price-concentration<br />

studies <strong>of</strong> US grocery <strong>retail<strong>in</strong>g</strong> that has failed to f<strong>in</strong>d a positive relationship. They exam<strong>in</strong>ed<br />

four possible sources <strong>of</strong> experimental error <strong>in</strong> this study, based on a sample <strong>of</strong> US<br />

metropolitan areas <strong>in</strong> 1987-88. The most important source <strong>of</strong> error was the failure to exclude<br />

non compet<strong>in</strong>g grocery retailers <strong>in</strong> the construction <strong>of</strong> the concentration measure. The<br />

relationship was also sensitive to controll<strong>in</strong>g for a subgroup <strong>of</strong> observations from one state, to<br />

alternative data sources, and functional form. When these changes were made, concentration<br />

was found to be positively associated with the cost <strong>of</strong> groceries across cities. The relationship<br />

was significant despite a small nonrandom sample <strong>of</strong> cities and unscientifically sampled<br />

prices.<br />

Buzas (2003) paper presents the results <strong>of</strong> price analyses done <strong>in</strong> the course <strong>of</strong> <strong>food</strong><br />

retail activity <strong>in</strong>vestigation. He viewed from a theoretical-economic approach, the consumer<br />

price conta<strong>in</strong>s the costs <strong>of</strong> production, process<strong>in</strong>g and trad<strong>in</strong>g, as well as the pr<strong>of</strong>it share<br />

related to these activities. In practice, particularly <strong>in</strong> the <strong>food</strong> sector, this k<strong>in</strong>d <strong>of</strong> l<strong>in</strong>ear<br />

accumulation has rarely succeeded. In the case <strong>of</strong> <strong>food</strong>s, due to a decrease <strong>in</strong> consumption<br />

and vertical competition, not only the pr<strong>of</strong>it share, but <strong>of</strong>ten some <strong>of</strong> the costs could not be<br />

made good <strong>in</strong> the sell<strong>in</strong>g price. This failure has an impact on agricultural producers and the<br />

<strong>food</strong> <strong>in</strong>dustry, whereas <strong>in</strong> commerce, pr<strong>of</strong>it could be realized easier. In the formation <strong>of</strong> a <strong>food</strong><br />

consumer price there are diverse practices <strong>in</strong> use from the simple markup pric<strong>in</strong>g method to<br />

the complex market<strong>in</strong>g strategies-based price-form<strong>in</strong>g.<br />

Bacchi and Alves (2004) analysed the price formation process <strong>of</strong> retail crystal sugar<br />

<strong>in</strong> the center-southern region <strong>of</strong> Brazil, consider<strong>in</strong>g the different segments <strong>of</strong> its<br />

commercialization cha<strong>in</strong>. The analysis was carried out over the May 1998-December 2002<br />

period. Results <strong>in</strong>dicated that producer and retail prices <strong>of</strong> crystal sugar have expressive<br />

relations <strong>in</strong> the short and long run. Income was not proven very important <strong>in</strong> the explanation<br />

<strong>of</strong> the crystal sugar price <strong>in</strong> the retail market. This was expected due to the small share <strong>of</strong> the<br />

product <strong>in</strong> the expenses <strong>of</strong> families.<br />

Herrmann and Moser (2004) exam<strong>in</strong>ed how far psychological pric<strong>in</strong>g plays a role <strong>in</strong><br />

grocery <strong>retail<strong>in</strong>g</strong> and whether it contributes to price rigidity <strong>of</strong> branded <strong>food</strong>s <strong>in</strong> Germany. The<br />

empirical analysis was based on scanner data <strong>of</strong> weekly prices for 20 branded <strong>food</strong>s across<br />

38 stores <strong>in</strong> Germany for 144 weeks <strong>in</strong> the period 1996-99. The analysis shows that<br />

psychological pric<strong>in</strong>g po<strong>in</strong>ts were extremely important <strong>in</strong> German <strong>food</strong> <strong>retail<strong>in</strong>g</strong>. Prices end<strong>in</strong>g<br />

at digit 9 were by far the most important. Moreover, there was <strong>of</strong>ten a strong concentration <strong>in</strong><br />

pric<strong>in</strong>g on only a few psychological prices. The analysis also shows that psychological pric<strong>in</strong>g<br />

seems to be one major determ<strong>in</strong>ant <strong>of</strong> price rigidity <strong>in</strong> German grocery <strong>retail<strong>in</strong>g</strong>. Prices <strong>of</strong><br />

branded <strong>food</strong>s were surpris<strong>in</strong>gly sticky given the high variability <strong>of</strong> agricultural commodity<br />

prices <strong>in</strong> <strong>food</strong> <strong>retail<strong>in</strong>g</strong>. Apparently, prices do not change much (apart from sales) and if they<br />

do, they tend to move from one psychological price to the next.<br />

McLaughl<strong>in</strong> (2004) <strong>in</strong> his study expla<strong>in</strong>ed the major factors that contribute to the<br />

complicated price formation process, as several levels, <strong>of</strong> fresh fruit and vegetables <strong>in</strong> the US<br />

were market<strong>in</strong>g channels, market structure changes, pric<strong>in</strong>g techniques and promotional<br />

impacts, retail responses to supply changes, and price versus value.<br />

Carman and Sexton (2005) study analysed the retail milk pric<strong>in</strong>g by <strong>supermarket</strong>s<br />

and market<strong>in</strong>g marg<strong>in</strong> behaviour for four fluid milk products <strong>in</strong> n<strong>in</strong>e large metropolitan markets<br />

<strong>in</strong> the Western United States. Multiple empirical approaches are utilized to <strong>in</strong>vestigate retailer<br />

pric<strong>in</strong>g behaviour, and, on balance, these methods provide significant evidence <strong>of</strong><br />

noncompetitive price behaviour <strong>in</strong> each <strong>of</strong> the markets. Correlations <strong>of</strong> retail price changes<br />

<strong>in</strong>dicate considerable pric<strong>in</strong>g <strong>in</strong>dependence among retailers across cities, while rank<strong>in</strong>gs <strong>of</strong><br />

retail prices by milk product provide significant evidence that prices were not based primarily<br />

on costs, as would be true if pric<strong>in</strong>g were competitive. Estimated retail price responses to<br />

farm price changes are consistent with monopoly pric<strong>in</strong>g behaviour for several <strong>of</strong> the milk<br />

products <strong>in</strong> several <strong>of</strong> the markets.


2.7 FINANCIAL MANAGEMENT IN FOOD INDUSTRIES<br />

Mohammed Ali (1992) used f<strong>in</strong>ancial ratios to analyze, the performance <strong>of</strong> fruits and<br />

vegetables process<strong>in</strong>g units under private and public sector. The study revealed that the<br />

solvency position <strong>of</strong> the private sector was found to be lower, but for public sector it was high.<br />

The liquidity ratios <strong>in</strong> general have revealed that the private sector unit is better position than<br />

public sector. The pr<strong>of</strong>itability ratios have <strong>in</strong>dicated the more efficient utilization <strong>of</strong> fixed assets<br />

as well as owned funds by private sector unit. The turns over ratios were also low <strong>in</strong> case <strong>of</strong><br />

public sector unit when compared to private sector unit.<br />

Arora and Zebul Nisha (1996) <strong>in</strong> their study on rural <strong>food</strong> process<strong>in</strong>g <strong>in</strong> Rampur<br />

district <strong>of</strong> UP concluded that even with a low level <strong>of</strong> operation rural <strong>food</strong> process<strong>in</strong>g<br />

complexes are mak<strong>in</strong>g pr<strong>of</strong>its. Their annual net returns, operat<strong>in</strong>g pr<strong>of</strong>it to revenue ratio, net<br />

pr<strong>of</strong>it to revenue ratio, operat<strong>in</strong>g ratio and operat<strong>in</strong>g efficiency are 23.70, 25.03, 41.81, 34.49<br />

and 58.18, respectively. The work<strong>in</strong>g capital <strong>in</strong>tensity, operat<strong>in</strong>g pr<strong>of</strong>it to capital employed, net<br />

pr<strong>of</strong>it to capital employed and <strong>in</strong>terest coverage ratios <strong>of</strong> 51.16, 68.38, 57.01 and 5.90,<br />

respectively, prove their f<strong>in</strong>ancial soundness.<br />

Devaraja (2000) study exam<strong>in</strong>ed the performance <strong>of</strong> the Horticultural Producers<br />

Cooperative Market<strong>in</strong>g and Process<strong>in</strong>g Society Limited <strong>in</strong> Karnataka, India, dur<strong>in</strong>g the period<br />

1958/59-1995/96. Physical and f<strong>in</strong>ancial <strong>in</strong>dicators <strong>of</strong> performance such as membership, retail<br />

outlets, share capital, owned funds, total assets, long-term <strong>in</strong>vestments, fixed assets, work<strong>in</strong>g<br />

capital, total liabilities, and sales, were analysed. Results show that there were substantial<br />

<strong>in</strong>creases both <strong>in</strong> physical and f<strong>in</strong>ancial <strong>in</strong>dicators over the period <strong>of</strong> study.<br />

Mane (2000 b) reported that the larger units were more efficient than the small unit. It<br />

may be because <strong>of</strong> economies <strong>of</strong> scale <strong>in</strong> operation and management. Solvency position <strong>of</strong><br />

large unit was somewhat less sound but well with<strong>in</strong> the acceptable norms. Both units were<br />

hav<strong>in</strong>g good f<strong>in</strong>ancial strength.<br />

Marton (2000) analysed the extent <strong>of</strong> foreign <strong>in</strong>volvement <strong>in</strong> the Hungarian <strong>food</strong><br />

<strong>in</strong>dustry f<strong>in</strong>ancial and economic characteristics <strong>of</strong> large companies with majority foreign<br />

ownership operat<strong>in</strong>g <strong>in</strong> this sector. It was found that the foreign-owned companies accounted<br />

for 51.7% <strong>of</strong> total sales <strong>in</strong> the Hungarian <strong>food</strong> <strong>in</strong>dustry <strong>in</strong> 1997, compared with 23.7% <strong>in</strong> the<br />

United K<strong>in</strong>gdom and just 7.7% <strong>in</strong> F<strong>in</strong>land. Of the top ten companies operat<strong>in</strong>g <strong>in</strong> the<br />

Hungarian <strong>food</strong> and tobacco sector (ranked by turnover), only one, Babolna Rt, was 100%<br />

Hungarian-owned, while five <strong>of</strong> these top ten companies were 100% foreign-owned (namely<br />

Cereol Rt, Unilever Kft (<strong>food</strong> division), Coca-Cola Amatil Kft, Nestle Hungaria Kft, and Egri<br />

Dohanygyr Kft).<br />

Khan et al. (2001) study assessed the costs, returns, and pr<strong>of</strong>itability <strong>of</strong> meat <strong>retail<strong>in</strong>g</strong><br />

<strong>in</strong> Peshawar, Pakistan, us<strong>in</strong>g primary data collected <strong>in</strong> the beg<strong>in</strong>n<strong>in</strong>g <strong>of</strong> year 2000 from 80<br />

meat retailers through a pre-tested <strong>in</strong>terview schedule. Analysis <strong>of</strong> the data shows that the<br />

total costs per month amounts to Rs. 130 763.74. Meat <strong>retail<strong>in</strong>g</strong> is a pr<strong>of</strong>itable enterprise, with<br />

net revenue per month amount<strong>in</strong>g to Rs. 8613.66.<br />

Konieczka (2002) reported the Pr<strong>of</strong>itability, liquidity, the level <strong>of</strong> debt and efficiency<br />

data for a number <strong>of</strong> small (assets up to 20 million zloty), medium (20-40 mil. zloty) and large<br />

(over 40.0 mil. zloty) Polish sugar companies were analysed for the period 1996-2000 <strong>in</strong> order<br />

to establish potential advantages <strong>of</strong> <strong>in</strong>dustry restructur<strong>in</strong>g. The results revealed generally<br />

weaken<strong>in</strong>g f<strong>in</strong>ancial <strong>in</strong>dicators for the period; fund<strong>in</strong>g and cash flow problems were most<br />

obvious <strong>in</strong> the smallest companies, suggest<strong>in</strong>g that restructur<strong>in</strong>g <strong>in</strong> favour <strong>of</strong> large sugar<br />

concerns with stronger market representation and lower unit costs would br<strong>in</strong>g economic<br />

advantages.<br />

Gustafson (2003) study revealed that <strong>in</strong> Fargo, USA, on an average, both <strong>food</strong><br />

manufactur<strong>in</strong>g and <strong>food</strong> <strong>retail<strong>in</strong>g</strong> small bus<strong>in</strong>esses had positive f<strong>in</strong>ancial characteristics.<br />

Although, they were only marg<strong>in</strong>ally pr<strong>of</strong>itable and liquid, they were highly solvent. Accounts<br />

receivable and <strong>in</strong>ventory comprise nearly half <strong>of</strong> <strong>food</strong> manufacturers' total assets and a third<br />

<strong>of</strong> <strong>food</strong> retailers' assets. By most f<strong>in</strong>ancial measures, <strong>food</strong> retailers were statistically smaller<br />

than <strong>food</strong> manufacturers. Both <strong>food</strong> manufacturers and <strong>food</strong> retailers utilized computers,<br />

primarily for account<strong>in</strong>g/book keep<strong>in</strong>g, <strong>in</strong>ventory management, and adm<strong>in</strong>istration. Primary<br />

f<strong>in</strong>ancial services used were for transactions and trade credit. Nearly three-fourths <strong>of</strong> <strong>food</strong><br />

manufactur<strong>in</strong>g and one-half <strong>of</strong> <strong>food</strong> <strong>retail<strong>in</strong>g</strong> supply purchases <strong>in</strong>volve trade credit from a


large number <strong>of</strong> trade credit suppliers, on average. Both firm types have higher credit risks<br />

and were tardy with repayment <strong>of</strong> trade credit.<br />

2.8 CONSTRAINTS AND MEASURES TO SOLVE THE<br />

PROBLEMS FACED BY THE FOOD RETAILERS<br />

Connor et al. (1999) reviewed the economic literature on empirical studies <strong>of</strong><br />

competition <strong>in</strong> the US <strong>food</strong>-<strong>retail<strong>in</strong>g</strong> <strong>in</strong>dustry, with special attention to a few studies that<br />

attempt to cope with new forms <strong>of</strong> horizontal and vertical competition. With the end <strong>of</strong> the<br />

'<strong>supermarket</strong> revolution' <strong>in</strong> the 1970s, new forms <strong>of</strong> horizontal, vertical, and geographic<br />

competition have appeared to challenge the supremacy <strong>of</strong> the <strong>supermarket</strong> format. New retail<br />

formats like warehouse stores, super centers, and fast-<strong>food</strong> outlets appear to affect local retail<br />

<strong>supermarket</strong> prices. Slott<strong>in</strong>g allowances, coupons, and electronic data gather<strong>in</strong>g have<br />

<strong>in</strong>tensified retailer-manufacturer rivalry. Foreign direct <strong>in</strong>vestment <strong>of</strong>fers the promise <strong>of</strong> new<br />

European-style management styles <strong>in</strong> US grocery <strong>retail<strong>in</strong>g</strong>.<br />

Anonymous (2000) found that the US <strong>food</strong> <strong>retail<strong>in</strong>g</strong> <strong>in</strong>dustry has undergone<br />

unprecedented consolidation and structural change <strong>in</strong> recent years. Large retailers have<br />

purchased almost 3500 <strong>supermarket</strong>s s<strong>in</strong>ce 1996, represent<strong>in</strong>g annual grocery store sales <strong>of</strong><br />

more than $67/th<strong>in</strong>/000 million. The nationwide share <strong>of</strong> sales for the four largest retailers<br />

<strong>in</strong>creased from nearly 16% <strong>in</strong> 1992 to almost 29% <strong>in</strong> 1998. Widespread consolidation <strong>in</strong> the<br />

grocery <strong>in</strong>dustry could have implications for consumers and <strong>food</strong> market suppliers such as<br />

grower-shippers and wholesalers. Some consumers fear that fewer <strong>food</strong> retailers will<br />

eventually mean higher grocery prices and less variety. Suppliers worry those fewer but larger<br />

buyers could force prices lower for products and services that <strong>food</strong> retailer’s purchase.<br />

Retailers were likely to cont<strong>in</strong>ue consolidat<strong>in</strong>g <strong>in</strong> order to ma<strong>in</strong>ta<strong>in</strong> pr<strong>of</strong>itability as competition<br />

for the consumer <strong>food</strong> dollar <strong>in</strong>creases.<br />

Rudolph et al. (2000) <strong>in</strong> their study suggested that the <strong>food</strong> retailers risk a loss <strong>of</strong><br />

image or even a loss <strong>of</strong> the customer if they do not learn to react effectively to failures and<br />

improve their service strategy.<br />

Aalto Setala (2002) exam<strong>in</strong>ed the empirical relationship between economies <strong>of</strong> scale,<br />

concentration, and market power <strong>in</strong> F<strong>in</strong>ish <strong>food</strong> <strong>retail<strong>in</strong>g</strong>. The impact <strong>of</strong> both local<br />

concentration and <strong>in</strong>dustry-wide concentration (which can be <strong>in</strong>terpreted as multimarket<br />

contact) was taken <strong>in</strong>to account <strong>in</strong> the evaluation <strong>of</strong> grocery retail competitiveness. Data were<br />

obta<strong>in</strong>ed from observations from 1994, 1995, and 1997. The results show that the ma<strong>in</strong> factor<br />

affect<strong>in</strong>g market power was the size <strong>of</strong> the retail firm. Larger share grocery retailers, for both<br />

the local and the national markets, carried higher mark-ups. At the same time, no firm-level<br />

scale economies were found from these larger firms. He concluded from these f<strong>in</strong>d<strong>in</strong>gs that<br />

the ma<strong>in</strong> purpose <strong>of</strong> large grocery retail mergers was to ga<strong>in</strong> market power not efficiency.<br />

Nageshwar Rao and Bramhanandan (2003) <strong>in</strong> their study on problems <strong>of</strong> retail<br />

traders <strong>in</strong> Guntur district <strong>of</strong> Andhra Pradesh found that <strong>in</strong>creas<strong>in</strong>g salary, other <strong>in</strong>centives and<br />

work<strong>in</strong>g hours were major problems from the employees’ side. Rent on build<strong>in</strong>g was a<br />

problem <strong>of</strong> retail traders (62%) s<strong>in</strong>ce they were fac<strong>in</strong>g many problems from the build<strong>in</strong>g owner<br />

side like high rent, frequent repairs and demand for more good-will. Apart from these retailers<br />

(44%) also had faced many problems on media like high rates, <strong>in</strong>adequate <strong>in</strong>formation and<br />

coverage <strong>of</strong> area and tim<strong>in</strong>g problems.<br />

Fischer (2004) exam<strong>in</strong>ed the problems <strong>in</strong>volved <strong>in</strong> the management <strong>of</strong> <strong>in</strong>ternational<br />

market<strong>in</strong>g activities <strong>of</strong> <strong>food</strong> products from the company perspective. It <strong>in</strong>dicated that the major<br />

obstacles encountered <strong>in</strong> the management <strong>of</strong> <strong>in</strong>ternational market<strong>in</strong>g were higher transaction<br />

costs and risks relative to home market bus<strong>in</strong>ess activities. More specifically, for <strong>food</strong><br />

products there were 6 ma<strong>in</strong> problem areas, which arise from the literature: education and<br />

tra<strong>in</strong><strong>in</strong>g <strong>of</strong> export staff (<strong>in</strong>clud<strong>in</strong>g foreign language skills and knowledge <strong>of</strong> foreign bus<strong>in</strong>ess<br />

partners' mentality); trade fair activities; special <strong>food</strong> product logistics and market<strong>in</strong>g<br />

problems; trade terms, export documentation and bill<strong>in</strong>g, and foreign exchange risk<br />

management; provision <strong>of</strong> foreign market <strong>in</strong>formation; and government assistance. Results<br />

from a questionnaire-based survey <strong>of</strong> companies from Germany (<strong>in</strong> November 1998) and<br />

Australia (<strong>in</strong> July 1999) engag<strong>in</strong>g <strong>in</strong> export<strong>in</strong>g and/or import<strong>in</strong>g <strong>of</strong> <strong>food</strong> products suggested<br />

that staff education or tra<strong>in</strong><strong>in</strong>g and logistics were the most important factors affect<strong>in</strong>g success<br />

<strong>in</strong> <strong>in</strong>ternational markets. Implications <strong>of</strong> this study were that agribus<strong>in</strong>esses must give special


attention to staff recruitment and tra<strong>in</strong><strong>in</strong>g and to the master<strong>in</strong>g <strong>of</strong> <strong>food</strong> product logistics if they<br />

want to compete successfully <strong>in</strong>ternationally.<br />

Muller et al. (2004) study revealed that the different mean<strong>in</strong>gs <strong>of</strong> quality for the<br />

products, <strong>in</strong>sufficient technical resources, badly coord<strong>in</strong>ated work<strong>in</strong>g processes and low<br />

consumer demand for organic products were identified as weaknesses <strong>of</strong> the supply cha<strong>in</strong><br />

systems <strong>in</strong> Germany, Switzerland and <strong>in</strong> Netherlands. Many <strong>of</strong> the success factors for<br />

improv<strong>in</strong>g quality, such as a common goal and control <strong>of</strong> the participants, <strong>in</strong>tensive<br />

communication, exchange <strong>of</strong> knowledge and <strong>in</strong>formation and an <strong>in</strong>formal leader <strong>of</strong> the cha<strong>in</strong><br />

were also characteristic for network structures <strong>in</strong> general. In Switzerland, success <strong>of</strong> the<br />

system <strong>in</strong> place was based both on a clear position <strong>of</strong> the <strong>food</strong> <strong>retail<strong>in</strong>g</strong> sector as an <strong>in</strong>formal<br />

leader and on structures that encourage trust and ensure a stable balance <strong>of</strong> power between<br />

actors. In the Netherlands, <strong>in</strong> turn, the traditionally pr<strong>of</strong>essional production and the general<br />

preference for personal contacts and dialogue were identified as the specific advantages <strong>of</strong><br />

the exist<strong>in</strong>g structures.<br />

2.9 FACTORS INFLUENCING THE CONSUMERS TO<br />

PURCHASE THE FOOD PRODUCTS IN FOOD RETAIL<br />

OUTLETS<br />

Rees (1992) <strong>in</strong> his study revealed that factors <strong>in</strong>fluenc<strong>in</strong>g the consumer’s choice <strong>of</strong><br />

<strong>food</strong> are complex, and must be added to variables such as flavour, texture, appearance,<br />

advertis<strong>in</strong>g etc. Demographic and household role changes and the <strong>in</strong>troduction <strong>of</strong> microwave<br />

ovens have produced changes <strong>in</strong> eat<strong>in</strong>g habits, a reduction <strong>in</strong> traditional cook<strong>in</strong>g,<br />

fragmentation <strong>of</strong> family means and an <strong>in</strong>crease <strong>in</strong> ‘snack<strong>in</strong>g’. The vigorous sale <strong>of</strong> chilled and<br />

other prepared <strong>food</strong>s is related to the large numbers <strong>of</strong> work<strong>in</strong>g wives and s<strong>in</strong>gle people, who<br />

require and value convenience. Developments <strong>in</strong> <strong>retail<strong>in</strong>g</strong> with concentration <strong>of</strong> 80% <strong>of</strong> <strong>food</strong><br />

sales <strong>in</strong> <strong>supermarket</strong>s, is also important. Consumers are respond<strong>in</strong>g to messages about<br />

safety and healthy eat<strong>in</strong>g they are concerned about the way <strong>in</strong> which <strong>food</strong> is produced and<br />

want safe, ‘natural’, high quality <strong>food</strong> at an appropriate price.<br />

Ka<strong>in</strong>th (1994) <strong>in</strong> his study on “Consumption <strong>of</strong> Apples: Consumer’s Towards View<br />

Pattern and Determ<strong>in</strong>ants” used rank<strong>in</strong>g techniques to understand consumer preference for<br />

apples <strong>in</strong> different <strong>in</strong>come groups. He also used l<strong>in</strong>ear multi-variate regression to analyze the<br />

factors affect<strong>in</strong>g apple consumption.<br />

Ragavan (1994) reported that quality, regular availability, price, accuracy <strong>in</strong> weigh<strong>in</strong>g<br />

and bill<strong>in</strong>g, range <strong>of</strong> vegetables and accessibility as the factors <strong>in</strong> the order <strong>of</strong> importance<br />

which had <strong>in</strong>fluenced purchase <strong>of</strong> vegetables by respondents from modern retail outlet.<br />

Sundar (1997) study revealed that the Grocery Department <strong>of</strong> Saravana Bava<br />

Cooperative Supermarket, Cuddalore was enjoy<strong>in</strong>g favourable images <strong>of</strong> consumers <strong>in</strong> the<br />

attributes such as equality <strong>of</strong> price, behaviour <strong>of</strong> sales persons, mov<strong>in</strong>g space, location,<br />

correctness <strong>of</strong> weight, packag<strong>in</strong>g <strong>of</strong> goods, number <strong>of</strong> sales persons and convenient<br />

shopp<strong>in</strong>g hours. At the same time, the image is weak <strong>in</strong> the attributes such as quality <strong>of</strong><br />

goods, availability <strong>of</strong> range <strong>of</strong> products, variety <strong>of</strong> goods, acceptance <strong>of</strong> returns, credit facility,<br />

door delivery and <strong>in</strong> sales promotional measures.<br />

Devl<strong>in</strong> et al. (2003) conducted a study on means-end cha<strong>in</strong> analysis <strong>of</strong> the <strong>food</strong><br />

sector and explored the extent to which the f<strong>in</strong>d<strong>in</strong>gs made can be used to <strong>in</strong>form the retail<br />

position<strong>in</strong>g strategy <strong>of</strong> <strong>food</strong> retailers <strong>in</strong> the UK, us<strong>in</strong>g data obta<strong>in</strong>ed from 15 respondents.<br />

Us<strong>in</strong>g means-end theory as the theoretical underp<strong>in</strong>n<strong>in</strong>g <strong>of</strong> the study, the study employed<br />

ladder<strong>in</strong>g methodology to identify the l<strong>in</strong>kages between <strong>food</strong> retail store attributes and<br />

personal values. The f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> the study presented a more personally relevant<br />

representation <strong>of</strong> consumer's perceptual orientations towards <strong>food</strong> retail store image. At the<br />

attribute level "good quality products", "good reputation", "store has additional services", and<br />

"value for money", are most sought after. These were l<strong>in</strong>ked to the consequences "feel good"<br />

and to "save time". Overall, the f<strong>in</strong>d<strong>in</strong>gs support previous value driven research, conclud<strong>in</strong>g<br />

that "happ<strong>in</strong>ess" and "quality <strong>of</strong> life" were the most strived for personal values.<br />

Cavard and Moreau (2003) undertook a survey among 2000 French consumers <strong>in</strong><br />

2002 to study their behaviour regard<strong>in</strong>g the purchase <strong>of</strong> fruit and vegetables. It first appraised<br />

purchas<strong>in</strong>g frequency; the weekly purchase be<strong>in</strong>g prevalent. Regard<strong>in</strong>g places <strong>of</strong> purchase,


<strong>supermarket</strong>s come first, followed closely by markets. In terms <strong>of</strong> modes <strong>of</strong> purchase, the self<br />

service with assisted weigh<strong>in</strong>g was the preferred option. Consumer expectations concern<br />

better control <strong>of</strong> labell<strong>in</strong>g and quality on the sell<strong>in</strong>g place, with an <strong>in</strong>dication <strong>of</strong> consumed-by<br />

date. The ma<strong>in</strong> consumers, the old-aged people, appear, however, to be less concerned with<br />

this additional <strong>in</strong>formation.<br />

Michels et al. (2003) study revealed that almost all <strong>food</strong> retailers <strong>in</strong> Germany sold<br />

organic products, fresh ones be<strong>in</strong>g estimated at 45% <strong>of</strong> the turnover. Surveys <strong>in</strong>dicated that<br />

49.7% <strong>of</strong> households bought fresh products, pr<strong>in</strong>cipally vegetables, at least once between<br />

April and December 2002. Vegetables, fruit, potatoes, and eggs were the ma<strong>in</strong> categories on<br />

<strong>of</strong>fer <strong>in</strong> <strong>supermarket</strong>-type outlets; specialist whole <strong>food</strong> shops and producers' direct market<strong>in</strong>g<br />

enterprises carried a wider range <strong>of</strong> produce <strong>in</strong>clud<strong>in</strong>g meat. Some 77% <strong>of</strong> turnover by the<br />

larger retailers was from sales to regular purchasers. Average frequency <strong>of</strong> purchas<strong>in</strong>g,<br />

however, was not over 5 times <strong>in</strong> 9 months. Younger customers tended to buy from specialist<br />

outlets rather than <strong>supermarket</strong>s.<br />

Manivannan and Raghunanthan (2004) observed that there was no close relationship<br />

between the age, sex, education, occupation and extend <strong>of</strong> utiliz<strong>in</strong>g departmental stores<br />

where as <strong>in</strong>come alone had shown a close relationship with the extent <strong>of</strong> utiliz<strong>in</strong>g<br />

departmental store at 1 % significant level, which shows that there was a close relationship<br />

between <strong>in</strong>come and extent <strong>of</strong> utiliz<strong>in</strong>g department stores.<br />

K<strong>in</strong>sey et al. (2004) <strong>in</strong> his study identified seven forces that have converged to create<br />

a demand-driven <strong>food</strong> system <strong>in</strong> the USA are (1) more diverse consumer characteristics and<br />

tastes; (2) the universal product code (bar code) and all the <strong>in</strong>formation technology that<br />

followed; (3) Wal-Mart (biggest <strong>food</strong> retailer <strong>in</strong> the world), the early adopter <strong>of</strong> <strong>in</strong>formation<br />

technology and the mother <strong>of</strong> efficient supply cha<strong>in</strong> management; (4) efficient consumer<br />

response, a defensive response to Wal-Mart’s expansion; (5) Concentration <strong>of</strong> retail<br />

ownerships; (6) global concentration <strong>of</strong> <strong>food</strong> process<strong>in</strong>g and manufactur<strong>in</strong>g; and (7) new<br />

bus<strong>in</strong>ess models.<br />

Haese et al. (2005) study revealed that s<strong>in</strong>ce late 1990s, the number <strong>of</strong> <strong>supermarket</strong>s<br />

<strong>in</strong> South Africa has been steadily grow<strong>in</strong>g. Due to a more effective and efficient management<br />

and procurement system, the <strong>supermarket</strong>s can benefit from economics <strong>of</strong> scale and sell <strong>food</strong><br />

at a relative low price. In their study they presented a case study <strong>of</strong> two villages <strong>in</strong> the<br />

Transkei area <strong>of</strong> South Africa. In these poor rural communities, the majority <strong>of</strong> households<br />

now buy their ma<strong>in</strong> <strong>food</strong> items from <strong>supermarket</strong>s rather than from local shops and farmers.<br />

While present<strong>in</strong>g an important step towards livelihood development and <strong>food</strong> security, these<br />

<strong>supermarket</strong>s also form a strong competitor for local agricultural sales. The <strong>supermarket</strong>s<br />

provide many <strong>food</strong> items at lower prices. With an <strong>in</strong>crease <strong>in</strong> <strong>in</strong>come, the households look for<br />

variety and exoticism <strong>in</strong> their <strong>food</strong> products, and will most likely f<strong>in</strong>d this <strong>in</strong> the <strong>supermarket</strong>s,<br />

rather than the local stores.


III. METHODOLOGY<br />

This chapter presents the climatic and economic feature <strong>of</strong> the study area, nature and<br />

source <strong>of</strong> data collected, analytical tools and techniques employed to evaluate the objectives<br />

<strong>of</strong> the present study. The details are presented under the follow<strong>in</strong>g head<strong>in</strong>gs.<br />

3.1 Description <strong>of</strong> the study area<br />

3.2 Sampl<strong>in</strong>g design<br />

3.3 Selection <strong>of</strong> the products<br />

3.4 Nature and sources <strong>of</strong> data<br />

3.5 Analytical tools and techniques employed<br />

3.6 Def<strong>in</strong>ition <strong>of</strong> terms and concepts used <strong>in</strong> the study<br />

3.1 DESCRIPTION OF THE STUDY AREA<br />

The state <strong>of</strong> Karnataka is situated on a tableland where the Western and Eastern<br />

Ghat ranges converge <strong>in</strong>to the Nilgiri hill complex, and is conf<strong>in</strong>ed roughly with<strong>in</strong> 11.5 degree<br />

North and 18.5 degree North latitudes and 74 degree East and 78.5 degree East longitude.<br />

The State is bounded by Maharashtra and Goa States <strong>in</strong> the North and North-West; by the<br />

Arabian Sea <strong>in</strong> the West; by Kerala and Tamil Nadu States <strong>in</strong> the South and by Andhra<br />

Pradesh <strong>in</strong> the East. The State extends to about 750 km from North to South and about 400<br />

km from East to West, and covers an area <strong>of</strong> about 1,91,791 sq.km. It accounts for 5.83<br />

percent <strong>of</strong> the total area <strong>of</strong> the country (32.88 lakh sq.km) and ranks eighth among major<br />

states <strong>of</strong> the country <strong>in</strong> terms <strong>of</strong> both geographical area (1.92 lakh kms) and population <strong>of</strong><br />

5.27 crore (2001 Census).<br />

Karnataka is one <strong>of</strong> the lead<strong>in</strong>g states <strong>in</strong> the country <strong>in</strong> terms <strong>of</strong> economic<br />

development and its Per Capita Income dur<strong>in</strong>g 2002-03 was Rs. 21696. The State's GDP at<br />

constant prices (2002-03) was Rs.72, 399 crore accounts for 5.5 per cent <strong>of</strong> the national<br />

GDP. The State has witnessed a healthy 6.5 per cent CAGR <strong>in</strong> the GSDP for the ten year<br />

period 1994-2003, be<strong>in</strong>g the highest among the lead<strong>in</strong>g States <strong>in</strong> the country. The State is<br />

largely service oriented and <strong>in</strong>come from the sector contributes to half the State's GDP with<br />

the agricultural and the <strong>in</strong>dustrial sector contribut<strong>in</strong>g to nearly 25 per cent each. The major<br />

manufactur<strong>in</strong>g oriented <strong>in</strong>dustries <strong>in</strong> the State <strong>in</strong>clude Sugar, Paper and Cement <strong>in</strong>dustries.<br />

Among the service oriented sectors, Karnataka leads the ‘Indian Biotechnology Industry’. IT is<br />

another thriv<strong>in</strong>g <strong>in</strong>dustry <strong>in</strong> the State, concentrated <strong>in</strong> and around Bangalore, the ‘silicone<br />

valley <strong>of</strong> India’. The state prides hav<strong>in</strong>g a strong <strong>in</strong>frastructure and the number <strong>of</strong> national and<br />

state highways make <strong>in</strong>ter-city and town communication easily accessible. Karnataka also<br />

has a strong railway and airport network. It is a preferred dest<strong>in</strong>ation for <strong>in</strong>vestments and the<br />

Karnataka Udyog Mitra is a s<strong>in</strong>gle contact po<strong>in</strong>t for all <strong>in</strong>vestors who wish to <strong>in</strong>vest <strong>in</strong> the<br />

State.<br />

Karnataka is also one <strong>of</strong> the lead<strong>in</strong>g states <strong>in</strong> organized <strong>retail<strong>in</strong>g</strong> <strong>in</strong> India as there are<br />

more than ten organized retailers (firms) with more than 100 outlets <strong>in</strong>clud<strong>in</strong>g Metro AG<br />

operat<strong>in</strong>g <strong>in</strong> Bangalore city alone due to <strong>in</strong>creas<strong>in</strong>g urbanization and expand<strong>in</strong>g service<br />

sectors like s<strong>of</strong>tware, bank<strong>in</strong>g, <strong>in</strong>surance and Bus<strong>in</strong>ess Process Outsourc<strong>in</strong>g (BPO), which<br />

has taken a metropolitan city status more recently has led to <strong>in</strong>creased <strong>in</strong>come <strong>of</strong> the<br />

consumers. Apart from Bangalore, cities such as Mysore, Mangalore, Hubli-Dharwad and<br />

Belgaum <strong>in</strong> Karnataka are also grow<strong>in</strong>g rapidly <strong>in</strong> terms <strong>of</strong> urbanization, <strong>in</strong>come and<br />

organized <strong>retail<strong>in</strong>g</strong> with local <strong>food</strong> marketers as they are convert<strong>in</strong>g unorganized retail outlets<br />

<strong>in</strong>to organized form because <strong>of</strong> strong demand for convenience products; and better<br />

educated consumers concerned about health, nutrition, <strong>food</strong> safety, and the environment.<br />

S<strong>in</strong>ce, majority <strong>of</strong> modern <strong>retail<strong>in</strong>g</strong> formats like <strong>supermarket</strong>s are exist<strong>in</strong>g <strong>in</strong> these cities only,<br />

these five cities <strong>in</strong> Karnataka were purposively selected for the study.<br />

Bangalore city situated at an altitude <strong>of</strong> 920 meters above sea level, it is the pr<strong>in</strong>cipal<br />

adm<strong>in</strong>istrative, cultural, commercial and <strong>in</strong>dustrial centre <strong>of</strong> the state. The city, which is<br />

spread over an area <strong>of</strong> 2190 square kilometers, enjoys a pleasant and equable climate<br />

throughout the year due to its elevation (1000m). It is also blessed with a large number <strong>of</strong>


lakes and parks with<strong>in</strong> the city. Today, Bangalore is the fastest grow<strong>in</strong>g city <strong>in</strong> Asia with a<br />

burgeon<strong>in</strong>g population <strong>of</strong> more than four million. The literacy rate <strong>of</strong> the city was 86.58<br />

percent (http://en.wikipedia.org). Its tree-l<strong>in</strong>ed streets and abundant greenery have led to it<br />

be<strong>in</strong>g called the 'Garden City' <strong>of</strong> India. However, s<strong>in</strong>ce local entrepreneurs and the technology<br />

giant Texas Instruments discovered its potential as a high-tech city <strong>in</strong> the early 1980s,<br />

Bangalore has seen a major technology boom. It is now home to more than 250 high-tech<br />

companies <strong>in</strong>clud<strong>in</strong>g homegrown giants like Wipro and Infosys. Consequently, now Bangalore<br />

is called the 'Silicon Valley' <strong>of</strong> India. There are more than ten organized retailers (firms) with<br />

more than 100 outlets <strong>in</strong>clud<strong>in</strong>g Metro AG operat<strong>in</strong>g <strong>in</strong> Bangalore city alone. The super<br />

marketers like Foodworld, Niligiri’s, Tr<strong>in</strong>ethra, Subhiksha and Spencer’s are the major players<br />

operat<strong>in</strong>g with their cha<strong>in</strong> <strong>of</strong> outlets <strong>in</strong> Bangalore.<br />

The tw<strong>in</strong> cities <strong>of</strong> Hubli-Dharwad are located at a distance <strong>of</strong> around 430 kms from<br />

Bangalore the capital <strong>of</strong> Karnataka state. The climate is hot and wet dur<strong>in</strong>g the summer and<br />

ra<strong>in</strong>y seasons and pleasant dur<strong>in</strong>g w<strong>in</strong>ter. Dharwad is the adm<strong>in</strong>istrative capital <strong>of</strong> the<br />

Dharwad district and Hubli serves as the commerce center. Dharwad is a quiet, pleasant, and<br />

fast grow<strong>in</strong>g city <strong>in</strong> the northern part <strong>of</strong> Karnataka. Together with Hubli, which is a city twentytwo<br />

kilometers away, Dharwad forms a tw<strong>in</strong> city. These cities covers an area <strong>of</strong> 202.4 Sq Kms<br />

with the urban population <strong>of</strong> 7, 86,018 (http://en.wikipedia.org). Hubli-Dharwad is known for its<br />

prestigious educational <strong>in</strong>stitutions. Dharwad is perhaps best known for its "Pedhas", a sweet<br />

made out <strong>of</strong> milk, and is a must-buy for any tourist visit<strong>in</strong>g the city. Today, Dharwad has<br />

grown beyond its borders, with <strong>in</strong>dustries dott<strong>in</strong>g both its northern and southern boundaries.<br />

In years ahead, it promises to be a beehive <strong>of</strong> commercial activity. The location <strong>of</strong> the city on<br />

the NH4 makes it equidistant from two <strong>of</strong> the most <strong>in</strong>dustrialised centers <strong>in</strong> the country -<br />

Bangalore, the capital <strong>of</strong> Karnataka state and Pune the 2nd most <strong>in</strong>dustrialised city <strong>in</strong><br />

Maharashtra. Most <strong>of</strong> the retail sector <strong>in</strong> these cities is characterized by large traditional forms<br />

<strong>of</strong> <strong>in</strong>dependently owned small bus<strong>in</strong>ess which occupied a significant market share. Recently,<br />

Hubli based BDK Group <strong>of</strong> Companies entered to modern <strong>retail<strong>in</strong>g</strong> by open<strong>in</strong>g two<br />

<strong>supermarket</strong>s outlets (<strong>in</strong> 2001) at Hubli and few local retailers also moderniz<strong>in</strong>g their stores <strong>in</strong><br />

the form <strong>of</strong> <strong>supermarket</strong>s.<br />

Mangalore is an important city <strong>in</strong> Karnataka and is situated on the west coast. After<br />

<strong>in</strong>tegration the city is develop<strong>in</strong>g fast <strong>in</strong> all directions viz. <strong>in</strong> the field <strong>of</strong> education, <strong>in</strong>dustry and<br />

commerce. Mangalore is located at 12°-52’N latitude and 74°-49’E longitude. The city is<br />

located <strong>in</strong> the confluence <strong>of</strong> Nethravathi and Gurupura rivers. It is bound <strong>in</strong> the east by the<br />

Western Ghats and <strong>in</strong> the west by the Arabian Sea. Three National Highways viz., NH-17<br />

l<strong>in</strong>k<strong>in</strong>g Panvel and Kanyakumari, NH-48 l<strong>in</strong>k<strong>in</strong>g Mangalore and Bangalore, NH-13 l<strong>in</strong>k<strong>in</strong>g<br />

Mangalore and Solapur pass through the city. A domestic Airport is located at Bajpe, which is<br />

15 km from city connect<strong>in</strong>g it to Mumbai and Bangalore. Mangalore is also l<strong>in</strong>ked by rail to all<br />

major cities <strong>of</strong> India and is also hav<strong>in</strong>g all weather harbors. Mangalore is headquarters <strong>of</strong><br />

Daksh<strong>in</strong>a Kannda District, the largest urban coastal center <strong>of</strong> Karnataka and the fourth largest<br />

city <strong>of</strong> the state cover<strong>in</strong>g an area <strong>of</strong> 132.45 sq km with the urban population <strong>of</strong> 4, 19,306<br />

(http://en.wikipedia.org). The city is an adm<strong>in</strong>istrative, commercial, educational, and <strong>in</strong>dustrial<br />

center. An all weather port is located <strong>in</strong> Mangalore and is the only major port <strong>of</strong> Karnataka.<br />

Major Banks <strong>of</strong> the India are orig<strong>in</strong>ated from this town. It is also famous for educational<br />

<strong>in</strong>stitutions. Only <strong>in</strong> this millennium, some <strong>of</strong> the organized retailers entered this city with<br />

modern retail formats. Foodworld is <strong>in</strong> operation s<strong>in</strong>ce, 2002.<br />

Belgaum is one <strong>of</strong> the fastest grow<strong>in</strong>g cities <strong>in</strong> the northwest part <strong>of</strong> Karnataka. The<br />

district <strong>of</strong> Belgaum borders Maharashtra and Goa. Belgaum is accessible via air from Bombay<br />

and Bangalore. Belgaum is famous for the sweets and locally made ice cream. Belgaum is<br />

also home to several divisions <strong>of</strong> the Indian Armed Forces. The Commando School <strong>of</strong> the<br />

Indian Army is also situated <strong>in</strong> Belgaum. The Indian Air Force has a big airbase near<br />

Belgaum. As <strong>of</strong> 2001 Census, the city had an area <strong>of</strong> 94.08 Sq Kms with population <strong>of</strong> 3,<br />

99,653. The city had an average literacy rate <strong>of</strong> 78 per cent, higher than national average <strong>of</strong><br />

65 per cent (http://en.wikipedia.org). There were no organized retailers <strong>in</strong> this city but few<br />

local retailers recently convert<strong>in</strong>g their old stores <strong>in</strong>to modern formats.<br />

Mysore city was the capital <strong>of</strong> the old royal Mysore prov<strong>in</strong>ce. To the people <strong>of</strong> India<br />

the word Mysore is synonymous with Sandalwood, silk and f<strong>in</strong>e <strong>in</strong>lay-work us<strong>in</strong>g ivory.<br />

Mysore is also the home <strong>of</strong> many well regarded musicians and artists. It is the fastest grow<strong>in</strong>g<br />

city <strong>in</strong> Karnataka next to Bangalore. The city spread over an area <strong>of</strong> 128.42 Sq Kms with


urban population <strong>of</strong> 7.8 Lakh (http://en.wikipedia.org). Be<strong>in</strong>g a traditional city, there were no<br />

organized retailers till 2001, but recently because <strong>of</strong> its boom<strong>in</strong>g economic growth, few<br />

organized retailers like Foodworld and Niligiri’s have entered this city with their <strong>supermarket</strong>s<br />

and many local retailers are also convert<strong>in</strong>g their old stores <strong>in</strong>to the modern formats (like<br />

<strong>supermarket</strong>s).<br />

3.2 SAMPLING DESIGN<br />

To fulfill the objectives related to the <strong>supermarket</strong>s operations <strong>of</strong> the study a<br />

multistage random sampl<strong>in</strong>g technique was used. In the <strong>in</strong>itial stage, Karnataka state was<br />

selected as it is one <strong>of</strong> the lead<strong>in</strong>g states <strong>in</strong> organized <strong>retail<strong>in</strong>g</strong> <strong>in</strong> India. At the second stage,<br />

five cities across Karnataka such as Bangalore, Hubli-Dharwad, Mangalore, Belgaum and<br />

Mysore were selected as the majority <strong>of</strong> organized retailers were existed <strong>in</strong> these areas.<br />

Recently, most <strong>of</strong> the local retailers <strong>in</strong> these areas also moderniz<strong>in</strong>g their stores <strong>in</strong> the form <strong>of</strong><br />

modern formats like <strong>supermarket</strong>s. In the last stage, three <strong>supermarket</strong>s (one outlet/ branch)<br />

from each city were selected randomly, so, that the total sample size selected for the study<br />

were 15. Among the number <strong>of</strong> <strong>supermarket</strong>s exist<strong>in</strong>g <strong>in</strong> these areas, only three<br />

<strong>supermarket</strong>ers who were agreed to provide the data are selected. However, <strong>supermarket</strong>s<br />

which were <strong>in</strong> operation for at least two successive years were selected and their<br />

performances were studied for the last f<strong>in</strong>ancial year 2006-07.<br />

In addition, s<strong>in</strong>ce, it is decided to select 150 consumers <strong>in</strong> total, the total consumers<br />

were distributed equally for each city, so that the ten consumers for each outlet were selected<br />

randomly for study<strong>in</strong>g the factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase <strong>food</strong> products <strong>in</strong><br />

<strong>supermarket</strong>s.<br />

3.3 SELECTION OF PRODUCTS<br />

S<strong>in</strong>ce it is difficult to study the overall operations <strong>in</strong> all the products, only two products<br />

from each agricultural commodity groups like rice and wheat <strong>in</strong> cereals, tur and green gram <strong>in</strong><br />

pulses, dry chilly and mustard which are bought and sold <strong>in</strong> small quantities, banana and<br />

apple <strong>in</strong> fruits and f<strong>in</strong>ally tomato and onion <strong>in</strong> vegetables were selected based on their volume<br />

<strong>of</strong> sales <strong>in</strong> <strong>supermarket</strong>s. Th<strong>in</strong>k<strong>in</strong>g to <strong>in</strong>clude items from each agriculture commodity groups<br />

two items from each group were selected. However, it is exception <strong>in</strong> case <strong>of</strong> Hubli-Dharwad<br />

because <strong>of</strong> no sale <strong>of</strong> fruits and vegetables <strong>in</strong> any <strong>of</strong> the <strong>supermarket</strong>s operat<strong>in</strong>g <strong>in</strong> the area.<br />

3.4 NATURE AND SOURCES OF DATA<br />

The detailed <strong>in</strong>formation required for the study was collected from both primary and<br />

secondary sources <strong>in</strong> order to accomplish the various objectives <strong>of</strong> the study and are<br />

illustrated with their heads as follows.<br />

A) PRIMARY DATA<br />

The primary data on roles and responsibilities <strong>of</strong> each <strong>in</strong>dividuals <strong>in</strong> the hierarchy and<br />

the pattern <strong>of</strong> <strong>in</strong>vestments like fixed and work<strong>in</strong>g capital were collected <strong>in</strong> detail to know the<br />

<strong>in</strong>vestment pattern and organizational structures <strong>of</strong> the <strong>supermarket</strong>s. The data on f<strong>in</strong>ancial<br />

management aspects like different assets and liabilities, owned fund, <strong>in</strong>ventory, work<strong>in</strong>g<br />

capitals, sales and returns were collected from their records like Balance sheet, Pr<strong>of</strong>it and<br />

Loss account and Trade account were collected to know the f<strong>in</strong>ancial status <strong>of</strong> these<br />

<strong>supermarket</strong>s. The <strong>in</strong>formation on procurement aspects like channels <strong>of</strong> procurement <strong>of</strong> raw<br />

materials, quantity procured costs <strong>of</strong> procurement and <strong>in</strong>ventory aspects like quantity and<br />

value <strong>of</strong> different <strong>in</strong>ventories ma<strong>in</strong>ta<strong>in</strong>ed at different stages and their cost <strong>of</strong> carry<strong>in</strong>g were<br />

collected to understand the procurement and <strong>in</strong>ventory management <strong>in</strong> these markets. The<br />

<strong>in</strong>formation on stages <strong>in</strong>volved <strong>in</strong> process<strong>in</strong>g, cost <strong>in</strong>curred <strong>in</strong> process<strong>in</strong>g and the value<br />

addition per unit <strong>of</strong> each selected products <strong>in</strong> different categories such as <strong>food</strong>gra<strong>in</strong>s, pulses,<br />

fruits, vegetables and spice products, and the various price determ<strong>in</strong>ation methods adopted<br />

by these <strong>supermarket</strong>ers were collected from the concerned authorities <strong>of</strong> super marketers to<br />

evaluate management <strong>of</strong> process<strong>in</strong>g and price determ<strong>in</strong>ation. Similarly, the data on problems<br />

faced by the <strong>supermarket</strong>ers such as causes for loss <strong>in</strong> retail bus<strong>in</strong>ess, sources <strong>of</strong> f<strong>in</strong>ance,<br />

<strong>in</strong>frastructure problems, problems from the government authorities etc., were also collected<br />

from the concerned authorities <strong>of</strong> these selected <strong>supermarket</strong>s.


Apart from these, to study the factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase <strong>food</strong><br />

products from the <strong>supermarket</strong>s/<strong>food</strong> retail outlets, the <strong>in</strong>formation regard<strong>in</strong>g the socioeconomic<br />

factors like age, education, occupation, <strong>in</strong>come, family size, family type, religion<br />

etc., product factors like price, quality, packag<strong>in</strong>g, label<strong>in</strong>g and other factors like range <strong>of</strong><br />

products, convenience, location, credit, home delivery, park<strong>in</strong>g facility, service quality and<br />

schemes and <strong>of</strong>fers etc., were collected from the randomly selected consumers from each<br />

<strong>supermarket</strong>s us<strong>in</strong>g the pre-tested schedule through the personal <strong>in</strong>terview method.<br />

B) SECONDARY DATA<br />

The secondary data on area, population and education status <strong>of</strong> the selected cities<br />

were collected from the respective Municipal Corporations.<br />

3.5 ANALYTICAL TECHNIQUES EMPLOYED<br />

In order to analyse the objectives <strong>of</strong> the study, the data collected were subjected to<br />

analysis through appropriate techniques as follows:<br />

3.5.1 Tabular analysis<br />

3.5.2 F<strong>in</strong>ancial ratio analysis<br />

3.5.3 Factor/cluster analysis<br />

3.5.4 Pr<strong>in</strong>cipal Component Analysis<br />

3.5.5 Garrett’s Rank<strong>in</strong>g Technique<br />

3.5.1 Tabular Analysis<br />

The data collected were presented <strong>in</strong> tabular form to facilitate easy comparisons. The<br />

<strong>in</strong>vestment pattern, hierarchical levels <strong>of</strong> organization <strong>in</strong> <strong>supermarket</strong> outlets, cost <strong>of</strong><br />

procurement, <strong>in</strong>ventory costs, value addition and problems faced by the retailers were<br />

presented <strong>in</strong> the form <strong>of</strong> tabular analysis. The data was summarized with the help <strong>of</strong> statistical<br />

tools like averages and percentages to obta<strong>in</strong> mean<strong>in</strong>gful <strong>in</strong>ferences.<br />

3.5.2 F<strong>in</strong>ancial ratio analysis<br />

The f<strong>in</strong>ancial ratio analysis technique was considered to be a most useful tool <strong>in</strong><br />

evaluat<strong>in</strong>g the performance <strong>of</strong> the <strong>supermarket</strong>s and they ma<strong>in</strong>ly po<strong>in</strong>t out the relative<br />

importance <strong>of</strong> the selected items. The f<strong>in</strong>ancial statements used <strong>in</strong> this study correspond to<br />

the f<strong>in</strong>ancial year <strong>of</strong> the <strong>supermarket</strong>s April to March <strong>of</strong> 2006-07. In this study, the ratio<br />

analysis technique has been heavily relied upon, to test the solvency, liquidity, pr<strong>of</strong>itability,<br />

turnover and sales <strong>of</strong> the <strong>supermarket</strong>s. The ratios used for the analysis are described below.<br />

3.5.2.1 Test <strong>of</strong> Solvency<br />

The solvency ratios would <strong>in</strong>dicate the ability <strong>of</strong> the <strong>supermarket</strong>s to meet its medium<br />

and long term obligations and they would also provide a basis for measur<strong>in</strong>g the leverage<br />

effect on the <strong>supermarket</strong>s. To meet the solvency position <strong>of</strong> the <strong>supermarket</strong>s, ratios such as<br />

total liabilities to owned funds and fixed assets to owned funds were employed.<br />

a. Total liabilities to owned funds ratio<br />

The ratio reflects the total commitments which the <strong>supermarket</strong>s owed to the creditors<br />

<strong>in</strong> relation to the owned funds <strong>of</strong> the <strong>supermarket</strong>s. This ratio is computed us<strong>in</strong>g the equation<br />

given below. Total liabilities<br />

Total liabilities to owned funds ratio = ……………………………<br />

Owned funds<br />

The total liabilities referred to all the items under liability column <strong>of</strong> balance sheet<br />

except the net pr<strong>of</strong>its, subsidies and owned funds. The paid-up share capital, depreciation<br />

fund, reserve funds and net pr<strong>of</strong>its were <strong>in</strong>cluded under the owned funds <strong>of</strong> the <strong>supermarket</strong>s.<br />

b. Fixed assets to owned funds ratio<br />

This ratio would <strong>in</strong>dicate the extent <strong>of</strong> owned funds <strong>in</strong>vested <strong>in</strong> fixed assets. Ratio<br />

was obta<strong>in</strong>ed us<strong>in</strong>g follow<strong>in</strong>g equation.


Fixed assets<br />

Fixed assets to owned funds ratio = …………………<br />

Owned funds<br />

Fixed assets <strong>in</strong>cluded the value <strong>of</strong> sites, build<strong>in</strong>gs, furnitures, fixtures, vehicles, etc.<br />

3.5.2.2 Test <strong>of</strong> liquidity<br />

This measures the ability <strong>of</strong> the <strong>supermarket</strong>s to meet immediate matur<strong>in</strong>g<br />

obligations. These ratios also called balance sheet ratios. Ratio <strong>of</strong> liquid assets to total<br />

assets, current ratio and acid test ratio were employed to measure the liquidity position <strong>of</strong> the<br />

<strong>supermarket</strong>s.<br />

a. Liquid assets to totals assets ratio<br />

This ratio shows the liquidity performance <strong>of</strong> the <strong>supermarket</strong>s. It <strong>in</strong>dicates the<br />

position <strong>of</strong> the total assets ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> liquid form which would help the <strong>supermarket</strong> to<br />

meet its immediate matur<strong>in</strong>g obligations.<br />

Liquid assets<br />

Ratio <strong>of</strong> liquid assets to totals assets ratio= ………………....<br />

Total assets<br />

Liquid assets <strong>in</strong>cluded cash <strong>in</strong> hand, cash at bank, short term deposits, value <strong>of</strong><br />

clos<strong>in</strong>g stock adjust<strong>in</strong>g heads due to, sundry debtors, deposits with banks etc. The total<br />

assets <strong>in</strong>cluded all the items under the assets column <strong>of</strong> the balance sheet, viz., sum <strong>of</strong><br />

current assets and fixed assets.<br />

b. Current ratio<br />

The ratio would measure the number <strong>of</strong> units <strong>of</strong> current assets owned by the<br />

<strong>supermarket</strong>s to meet each <strong>of</strong> the short term obligations. It is given by the follow<strong>in</strong>g equation.<br />

Current assets<br />

Current ratio= ……………………..<br />

Current liabilities<br />

If the ratio was more than one, it suggested that current assets <strong>of</strong> the <strong>supermarket</strong>s<br />

were adequate to pay <strong>of</strong>f all current liabilities. If it was one, they were just sufficient and if less<br />

than one, the <strong>supermarket</strong>s could be unable to pay current dues when asked for. A current<br />

ratio <strong>of</strong> roughly two was considered to be satisfactory level. Current liability was obta<strong>in</strong>ed by<br />

deduct<strong>in</strong>g long term loans and long term deposits from the total liabilities.<br />

3.5.2.3 Test <strong>of</strong> pr<strong>of</strong>itability<br />

The pr<strong>of</strong>itability ratios would provide a fairly sound method <strong>of</strong> diagnosis <strong>of</strong> the<br />

f<strong>in</strong>ancial status <strong>of</strong> the <strong>supermarket</strong>s and overall efficiency <strong>of</strong> the <strong>supermarket</strong>s. These ratios<br />

compared the returns over the amount sunk <strong>in</strong>to the bus<strong>in</strong>ess by the <strong>supermarket</strong>s. Thus,<br />

these ratios <strong>in</strong>dicated the pr<strong>of</strong>itability <strong>of</strong> sales and <strong>in</strong>vestments made <strong>in</strong> the bus<strong>in</strong>ess. The<br />

ratios employed for the study are discussed below.<br />

a. Ratio <strong>of</strong> net pr<strong>of</strong>it to total assets<br />

This ratio would <strong>in</strong>dicate the earn<strong>in</strong>g capacity <strong>of</strong> the total assets <strong>of</strong> the <strong>supermarket</strong>s.<br />

It was computed as follows.<br />

Net pr<strong>of</strong>its<br />

Net pr<strong>of</strong>its to total assets = ……………………….<br />

Total assets<br />

An <strong>in</strong>crease <strong>in</strong> the ratio over the years showed improvement <strong>in</strong> the overall<br />

efficiency <strong>of</strong> the <strong>supermarket</strong>s. Net pr<strong>of</strong>its <strong>in</strong>cluded the amount <strong>of</strong> <strong>in</strong>come received by the<br />

<strong>supermarket</strong> after meet<strong>in</strong>g all its expenses at the end <strong>of</strong> the year.


. Net pr<strong>of</strong>its to owned funds ratio<br />

This ratio showed the extent <strong>of</strong> pr<strong>of</strong>itability <strong>in</strong> relation to <strong>in</strong>vestments <strong>of</strong> owned funds<br />

<strong>of</strong> the <strong>supermarket</strong>s. It was calculated by the equation given below.<br />

Net pr<strong>of</strong>its<br />

Net pr<strong>of</strong>its to owned funds ratio = ………………………<br />

Owned funds<br />

c. Net pr<strong>of</strong>its to total sales ratio<br />

This ratio is also known as net pr<strong>of</strong>it marg<strong>in</strong>. It was determ<strong>in</strong>ed by relat<strong>in</strong>g the net<br />

<strong>in</strong>come after taxes to the net sales for the period. The ratio was calculated as under.<br />

Net pr<strong>of</strong>its<br />

Net pr<strong>of</strong>its to sales ratio = ……………………………<br />

Total sales<br />

A higher ratio <strong>in</strong>dicated the higher overall efficiency <strong>of</strong> the bus<strong>in</strong>ess <strong>of</strong> the<br />

<strong>supermarket</strong>s and fuller utilization <strong>of</strong> its total resources and vice-versa.<br />

d. Net pr<strong>of</strong>it marg<strong>in</strong> (per cent)<br />

The net pr<strong>of</strong>it marg<strong>in</strong> was determ<strong>in</strong>ed by relat<strong>in</strong>g the net <strong>in</strong>come after taxes to the<br />

gross returns for the period and is expressed <strong>in</strong> terms <strong>of</strong> per cent.<br />

Net pr<strong>of</strong>its<br />

Net pr<strong>of</strong>its to sales ratio = …………………… × 100<br />

Gross returns<br />

3.5.2.4 Tests <strong>of</strong> turnover<br />

The ratios which were quite important to this study, but did not come under any <strong>of</strong> the<br />

above categories <strong>of</strong> tests are presented below.<br />

a. Work<strong>in</strong>g capital turnover ratio<br />

This ratio was employed to assess the efficiency <strong>of</strong> the total work<strong>in</strong>g capital employed<br />

by the <strong>supermarket</strong>s <strong>in</strong> their bus<strong>in</strong>ess and was calculated as under.<br />

Total sales<br />

Work<strong>in</strong>g capital turnover ratio = ……………………………<br />

Total work<strong>in</strong>g capital<br />

The higher the turnover, greater would be the efficiency and larger the rate <strong>of</strong><br />

pr<strong>of</strong>itability.<br />

b. Fixed assets turnover ratio<br />

Fixed assets turnover ratio was used to test the sales turnover <strong>of</strong> fixed assets. It<br />

<strong>in</strong>dicates the efficiency <strong>in</strong> utiliz<strong>in</strong>g the fixed assets. This ratio was computed as follows.<br />

Total sales<br />

Work<strong>in</strong>g capital turnover ratio =……………….……………………<br />

Total work<strong>in</strong>g capital<br />

Higher the fixed assets turnover ratio, higher would be the efficiency <strong>of</strong> the<br />

<strong>supermarket</strong>s (outlets) <strong>in</strong> utilization <strong>of</strong> fixed assets to generate sales.<br />

3.5.2.5 Factor/Pr<strong>in</strong>cipal Component Analysis<br />

The technique <strong>of</strong> factor analysis, which is a multivariate statistical technique, was<br />

employed to ascerta<strong>in</strong> the major problems faced by the <strong>supermarket</strong>s <strong>in</strong> the bus<strong>in</strong>ess <strong>of</strong> <strong>food</strong><br />

<strong>retail<strong>in</strong>g</strong>. Factor analysis was used <strong>in</strong> data reduction by identify<strong>in</strong>g a small number <strong>of</strong> factors,<br />

which expla<strong>in</strong> most <strong>of</strong> the variance observed <strong>in</strong> a much larger number <strong>of</strong> variables. In this


study, pr<strong>in</strong>cipal component analysis was used because it has some advantages than other<br />

techniques (Patil, 2004). In pr<strong>in</strong>cipal component analysis, a set <strong>of</strong> orig<strong>in</strong>al variables is<br />

transformed <strong>in</strong>to a new set <strong>of</strong> uncorrelated variables called pr<strong>in</strong>cipal components. The new<br />

variables are l<strong>in</strong>ear functions <strong>of</strong> the orig<strong>in</strong>al variables. The objective is to f<strong>in</strong>d out only a few<br />

components, which account for most <strong>of</strong> the variation <strong>in</strong> the orig<strong>in</strong>al set <strong>of</strong> data. The pr<strong>in</strong>cipal<br />

component (Pi) is determ<strong>in</strong>ed as follows.<br />

Pi = a1jZ1 + a2jZ2 + a3j Z3 + …… + anjZn<br />

Where,<br />

P i = 1 to n, are new uncorrelated components,<br />

aij = i = 1 to n, and j = 1 to n, the Z coefficients are factor load<strong>in</strong>gs,<br />

Zi = 1 to n, are observed variables as standardized by divid<strong>in</strong>g (X1-Xn) by its<br />

standard deviation (σx).<br />

Each component makes a maximum contribution <strong>in</strong> descend<strong>in</strong>g order to the sum <strong>of</strong><br />

the variance <strong>of</strong> the variables. Normally, the first pr<strong>in</strong>cipal component contributes a maximum<br />

to their total variance; the second pr<strong>in</strong>cipal component contributes to the residual variance<br />

and so on. The sum <strong>of</strong> the variance <strong>of</strong> all the pr<strong>in</strong>cipal components is equal to the sum <strong>of</strong> the<br />

variance <strong>of</strong> the orig<strong>in</strong>al variables. Sum <strong>of</strong> square <strong>of</strong> factor load<strong>in</strong>gs (a 2<br />

1j + a 2<br />

2j + a 2<br />

3j + …… +<br />

a 2<br />

nj) is called variance expla<strong>in</strong>ed by factor (j). This is also known as Eigen value (λ). The<br />

percentage contribution <strong>of</strong> Pi <strong>in</strong> the total variance <strong>of</strong> orig<strong>in</strong>al variables (Xi) is given by,<br />

Pi = λ/n x 100 (n = number <strong>of</strong> variables)<br />

The pr<strong>in</strong>cipal component analysis was carried out by us<strong>in</strong>g SPSS 10 statistical<br />

package. After the data were fed <strong>in</strong>to it, the package provided output such as correlation<br />

matrix, <strong>in</strong>itial factor matrix and rotated factor matrix. Initial factor matrix generally fails to be<br />

mean<strong>in</strong>gfully <strong>in</strong>terpretable. Therefore, rotated factor matrix was used for identification <strong>of</strong><br />

factors. Varimax rotation (an orthogonal method), the most common rotation method was<br />

used for rotation. This method tries to produce factors that are as simple as possible by<br />

maximiz<strong>in</strong>g the variance <strong>of</strong> the load<strong>in</strong>gs across the items with<strong>in</strong> factors. This leads to high<br />

load<strong>in</strong>gs becom<strong>in</strong>g higher and lower load<strong>in</strong>gs decl<strong>in</strong><strong>in</strong>g. For the selection <strong>of</strong> factors eigen<br />

values more than one are taken <strong>in</strong>to account. Identification <strong>of</strong> and nam<strong>in</strong>g <strong>of</strong> any factor would<br />

be a subjective conclusion. Generally, the heavy loaded key variables would be considered<br />

as basis for identification and nam<strong>in</strong>g <strong>of</strong> dimension. In order to assign some mean<strong>in</strong>g to factor<br />

solution a m<strong>in</strong>imum level <strong>of</strong> significance for factor load<strong>in</strong>g was 0.5 was taken. Higher the<br />

value <strong>of</strong> factor load<strong>in</strong>g <strong>of</strong> the variable on a particular factor, greater would be the association<br />

with that factor.<br />

In pr<strong>in</strong>cipal component analysis 38 variables were considered to be the major<br />

problems affect<strong>in</strong>g the <strong>food</strong> <strong>retail<strong>in</strong>g</strong> bus<strong>in</strong>ess <strong>in</strong> Karnataka. Indicators were identified after<br />

careful <strong>in</strong>vestigation <strong>of</strong> the earlier studies and consultation with the higher authorities <strong>of</strong> the<br />

<strong>supermarket</strong>s. The selected problems are presented <strong>in</strong> Table 3.1.<br />

3.5.6 Cluster Analysis <strong>of</strong> Variables<br />

Classification <strong>of</strong> characteristics <strong>in</strong>to mean<strong>in</strong>gful sets <strong>of</strong> cluster<strong>in</strong>g is an important<br />

procedure <strong>in</strong> all the social and biological sciences. The cluster analysis is a formal<br />

multivariate statistical procedure. It is a simple form <strong>of</strong> correlation analysis and it provides a<br />

measure <strong>of</strong> similarity among different <strong>in</strong>dependent variables. This analysis starts with a data<br />

set conta<strong>in</strong><strong>in</strong>g <strong>in</strong>formation about population based on the sample <strong>of</strong> entities and attempts to<br />

reorganize these entities <strong>in</strong>to relatively homogeneous groups.<br />

The cluster analysis <strong>of</strong> variables was adopted to analyze the scores obta<strong>in</strong>ed from<br />

the op<strong>in</strong>ion survey <strong>of</strong> consumers <strong>in</strong> order to know the factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to<br />

purchase <strong>food</strong> products <strong>in</strong> <strong>supermarket</strong>s. Clusters were formed us<strong>in</strong>g the m<strong>in</strong>imum distance<br />

(maximum similarity) method, also known as complete l<strong>in</strong>kage method. Initially, each variable<br />

was considered as a separate cluster then the two most similar variables were grouped to<br />

form a cluster. The amalgamation process was cont<strong>in</strong>ued <strong>in</strong> a step wise fashion/method until<br />

a s<strong>in</strong>gle cluster was formed to conta<strong>in</strong> all the variables.


Table 3.1: Selected Problems <strong>of</strong> Retailers <strong>in</strong> Food Retail<strong>in</strong>g Bus<strong>in</strong>ess <strong>of</strong> Karnataka<br />

Sl No. Problems <strong>of</strong> Retailers Code<br />

I. Infrastructural problems<br />

1 Land & build<strong>in</strong>g P1<br />

2 Transportation P2<br />

3 Storage P3<br />

4 Electricity P4<br />

5 Insurance P5<br />

6 II. Location <strong>of</strong> the site P6<br />

III. Employees Problems<br />

7 Tra<strong>in</strong>ed employees P7<br />

8 Un tra<strong>in</strong>ed employees P8<br />

9 Agencies P9<br />

IV. Source <strong>of</strong> f<strong>in</strong>ance<br />

10 Banks P10<br />

11 Govt. schemes P11<br />

V. Media problems<br />

12 Rate P12<br />

13 Coverage <strong>of</strong> area P13<br />

14 Tim<strong>in</strong>g P14<br />

15 Information P15<br />

VI. Causes <strong>of</strong> loss <strong>in</strong> retail bus<strong>in</strong>ess<br />

16 F<strong>in</strong>ancial resource P16<br />

17 Experience P17<br />

18 Location P18<br />

VII. Impact <strong>of</strong> WTO<br />

19 Competition P19<br />

20 Price <strong>of</strong> the product P20<br />

21 Marg<strong>in</strong> P21<br />

Contd…..


VIII. VAT<br />

22 Charges P22<br />

23 Op<strong>in</strong>ion P23<br />

IX. Problems from the Govt. authorities<br />

24 Tax charges P24<br />

25 Laws P25<br />

26 Bribes P26<br />

27 Procedures P27<br />

X. Problems from the wholesalers<br />

28 Price variation P28<br />

29 Delivery P29<br />

30 Market <strong>in</strong>formation P30<br />

31 Credit facility P31<br />

32 Damage <strong>of</strong> products P32<br />

33 Marg<strong>in</strong> P33<br />

XI. Problems from the customers<br />

34 Barga<strong>in</strong> P34<br />

35 Credit facility P35<br />

36 Discounts & Offers P36<br />

37 Demand for new products P37<br />

38 Repayment P38<br />

The so classified clusters were subjected to test the correctness <strong>of</strong> the groups’<br />

classification us<strong>in</strong>g Discrim<strong>in</strong>ant analysis. This analysis helps us to know the relative<br />

importance <strong>of</strong> different variables <strong>in</strong> regard to their power to discrim<strong>in</strong>ate between the groups.<br />

The case-wise statistics derived from the discrim<strong>in</strong>ate analysis and the proximity matrix <strong>of</strong><br />

Squared Euclidean Distance for the cluster classifications were presented <strong>in</strong> Appendix-V and<br />

Appendix- VI, respectively.<br />

The selected variables/factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase <strong>food</strong> products<br />

<strong>in</strong> <strong>supermarket</strong>s are presented <strong>in</strong> Table 3.2.<br />

3.5.7 Garrett’s Rank<strong>in</strong>g Technique<br />

Garrett’s rank<strong>in</strong>g technique was used to rank the factors considered by the retailers <strong>in</strong><br />

pric<strong>in</strong>g the products at the <strong>supermarket</strong>s.<br />

For this purpose twelve factors were first identified as important ones considered by a<br />

majority <strong>of</strong> retailers <strong>in</strong> their bus<strong>in</strong>ess. These factors were identified <strong>in</strong> consultation with the<br />

higher authorities <strong>of</strong> the <strong>supermarket</strong> firms and also from the past research reviews. The<br />

factors considered by the retailers <strong>in</strong> pric<strong>in</strong>g the products were nature <strong>of</strong> products, market<br />

forces (Supply & Demand), product life, competition, long-term pric<strong>in</strong>g, market segmentation,<br />

quality <strong>of</strong> the products, relative prices <strong>of</strong> the producers, price should not be high, price should<br />

convenience prospective consumers, price shall ensure pr<strong>of</strong>itability and availability <strong>of</strong> the<br />

products. The selected retailers were asked to rank the above factors from one to twelve. In


Table 3.2: Variables Influenc<strong>in</strong>g the Consumers to Purchase Food Products from the<br />

Supermarkets<br />

Sl No. Factors Code<br />

1 Convenient location <strong>of</strong> the <strong>supermarket</strong> F1<br />

2 Range <strong>of</strong> products available F2<br />

3 Convenient for purchase F3<br />

4 Availability <strong>of</strong> quality products F4<br />

5 Reasonable prices F5<br />

6 Park<strong>in</strong>g facility F6<br />

7 Payment methods (Cash, Cheques or Credit cards) F7<br />

8 Shopp<strong>in</strong>g is seen as enjoyable F8<br />

9 Attractive pack<strong>in</strong>g F9<br />

10 Interest <strong>in</strong> eat<strong>in</strong>g foreign <strong>food</strong>s F10<br />

11 Schemes & Offers F11<br />

12 Better service to customers F12<br />

13 Home delivery F13<br />

14 Save time <strong>of</strong> shopp<strong>in</strong>g F14<br />

15 New <strong>food</strong> products market development F15<br />

16 Work<strong>in</strong>g women and convenience F16<br />

17 Concern about health, welfare and the environment F17<br />

18 Peer group <strong>in</strong>fluence F18<br />

19 Range <strong>of</strong> brands F19<br />

20 Attractive Advertis<strong>in</strong>g F20<br />

21 Store image F21<br />

22 Behaviour <strong>of</strong> the employees F22<br />

23 Freshness <strong>of</strong> the products F23<br />

24 Label<strong>in</strong>g (Composition <strong>of</strong> <strong>in</strong>gredients) F24<br />

25 Product warranty F25<br />

26 Good quality products F26<br />

27 Fresh fruits and vegetables F27<br />

28 Fresh bakery products F28<br />

29 Frequency <strong>of</strong> visits F29<br />

30 Amount spare F30


this analysis, rank one meant most important factor. In the next stage, rank assigned to each<br />

factors by each <strong>in</strong>dividual was converted <strong>in</strong>to per cent position us<strong>in</strong>g the follow<strong>in</strong>g formula.<br />

Per cent position = 100 (Rij-0.5)/Nj)<br />

Where, Rij stands for the i th factor (i= 1,2,……..12) by the j th <strong>in</strong>dividual (j = 1, 2,<br />

…….15) and Nj stands for the number <strong>of</strong> factors ranked by j th <strong>in</strong>dividual. Once the per cent<br />

positions were found, scores were determ<strong>in</strong>ed for each per cent position by referr<strong>in</strong>g Garrett’s<br />

table. Then, the scores for each factor were summed over the number <strong>of</strong> retailers who ranked<br />

that factor. In this way, total scores were arrived at for each <strong>of</strong> the twelve factors, and mean<br />

scores were calculated by divid<strong>in</strong>g the total score by the number <strong>of</strong> retailers/<strong>supermarket</strong>s,<br />

who gave ranks. F<strong>in</strong>al overall rank<strong>in</strong>g <strong>of</strong> the twelve factors was done by assign<strong>in</strong>g rank 1, 2,<br />

3, ….etc <strong>in</strong> the descend<strong>in</strong>g order <strong>of</strong> the mean scores.<br />

3.6 DEFINITION OF TERMS AND CONCEPTS USED IN THE<br />

STUDY<br />

3.6.1 Capital <strong>in</strong>vestment<br />

a. Fixed capital<br />

The items <strong>in</strong>cluded under the foxed capital are the cost <strong>of</strong> land, build<strong>in</strong>g, mach<strong>in</strong>ery<br />

and equipments and other fixtures.<br />

b. Work<strong>in</strong>g capital<br />

The work<strong>in</strong>g capital <strong>in</strong>cludes cost <strong>of</strong> raw materials, utilities (like power, oil and water<br />

charges), process<strong>in</strong>g material (cloth bags, tags, labels) cost, wages, salaries, company<br />

overheads (repair and ma<strong>in</strong>tenance cost) and adm<strong>in</strong>istrative overheads (stationeries<br />

expenses, <strong>of</strong>fice communication), <strong>in</strong>terest on work<strong>in</strong>g capital, chemical cost, license fee, cost<br />

<strong>of</strong> process<strong>in</strong>g, and advertisement expenses.<br />

c. Investment on build<strong>in</strong>g<br />

This <strong>in</strong>cluded <strong>in</strong>vestment on build<strong>in</strong>g for process<strong>in</strong>g/value addition, storage, <strong>of</strong>fice and<br />

dry<strong>in</strong>g yard.<br />

d. Investment on mach<strong>in</strong>ery and equipments<br />

Under this, <strong>in</strong>vestment made on display cases, floral cases, display walk-<strong>in</strong>-freezers,<br />

Hot-<strong>food</strong> display cases, Ice mach<strong>in</strong>es, pack<strong>in</strong>g mach<strong>in</strong>e, weigh<strong>in</strong>g mach<strong>in</strong>es etc.<br />

e. Investment on other fixtures<br />

It <strong>in</strong>cludes <strong>in</strong>vestment on fan, tube lights, furniture, and computers <strong>in</strong> the<br />

<strong>supermarket</strong>s (outlets).<br />

f. Investment on <strong>in</strong>frastructure<br />

It <strong>in</strong>cludes <strong>in</strong>vestment on power generator, trolleys and transport vehicles.<br />

3.6.2 Procurement<br />

a. Procurement cost <strong>of</strong> products<br />

It was computed by add<strong>in</strong>g the items <strong>of</strong> commission charges to organizers, transport<br />

and load<strong>in</strong>g/unload<strong>in</strong>g charges.<br />

b. Inventory<br />

It is def<strong>in</strong>ed as usable but idle resource at different stages.<br />

c. Raw material<br />

It means that the products brought by the retailers is processed but not packed.


d. F<strong>in</strong>ished product<br />

After process<strong>in</strong>g/value addition products are kept <strong>in</strong> cloth bags/polythene bags or<br />

wrapp<strong>in</strong>g boxes and sealed.<br />

e. Cost <strong>of</strong> carry<strong>in</strong>g <strong>in</strong>ventory<br />

This is expressed <strong>in</strong> rupees per item held <strong>in</strong> stock per unit time. It is worked out by<br />

add<strong>in</strong>g the items <strong>of</strong> storage cost and <strong>in</strong>terest on carry<strong>in</strong>g <strong>in</strong>ventory.<br />

f. Storage cost<br />

It <strong>in</strong>cludes the rental charges <strong>of</strong> the warehouse and ma<strong>in</strong>tenance charges where <strong>in</strong><br />

the products are stored.<br />

g. Ma<strong>in</strong>tenance charges<br />

In this variable cost <strong>of</strong> <strong>in</strong>secticides, white wash<strong>in</strong>g and clean<strong>in</strong>g were <strong>in</strong>cluded.<br />

h. Interest on carry<strong>in</strong>g <strong>in</strong>ventory<br />

It is worked at the rate <strong>of</strong> 12.5 per cent at the value <strong>of</strong> products stored for number <strong>of</strong><br />

months.<br />

3.6.3 Process<strong>in</strong>g/value addition<br />

I. Stages <strong>of</strong> process<strong>in</strong>g/value addition<br />

a. Pre clean<strong>in</strong>g: It refers to the removal <strong>of</strong> particles such as pieces <strong>of</strong> trash, stones, clods,<br />

removal <strong>of</strong> foreign materials, other products etc larger <strong>in</strong> size than desirable products<br />

from threshed products lot. Incase <strong>of</strong> fruits and vegetables, it is the wash<strong>in</strong>g <strong>of</strong> fruits and<br />

vegetables to remove dusts, removal <strong>of</strong> decayed etc.<br />

b. Condition<strong>in</strong>g: It refers to operations such as shell<strong>in</strong>g, debark<strong>in</strong>g etc., for basic clean<strong>in</strong>g <strong>of</strong><br />

fruits and vegetables.<br />

c. Grad<strong>in</strong>g: It refers to the actual clean<strong>in</strong>g and grad<strong>in</strong>g <strong>of</strong> products based on the quality<br />

preferences.<br />

d. Treat<strong>in</strong>g: It refers to the application <strong>of</strong> fungicide, <strong>in</strong>secticide or comb<strong>in</strong>ation <strong>of</strong> both, to<br />

products so as to dis<strong>in</strong>fect them from seed borne or soil borne pathogenic organisms and<br />

storage <strong>in</strong>sects.<br />

e. Bagg<strong>in</strong>g and weigh<strong>in</strong>g: It refers to fill<strong>in</strong>g <strong>of</strong> products <strong>in</strong> bags/ polythene bags to an exact<br />

weight.<br />

f. Labell<strong>in</strong>g and stitch<strong>in</strong>g: It refers to attach<strong>in</strong>g labels, certificates, tags on the products bags<br />

and sew<strong>in</strong>g the seed bags.<br />

II. Value addition<br />

It is calculated by subtract<strong>in</strong>g the purchase value <strong>of</strong> one qu<strong>in</strong>tal <strong>of</strong> any product from<br />

the sale value <strong>of</strong> f<strong>in</strong>ished product.<br />

III. Cost <strong>of</strong> process<strong>in</strong>g/value addition<br />

This was computed by add<strong>in</strong>g the costs <strong>in</strong>curred on power, supervision charges<br />

dur<strong>in</strong>g process<strong>in</strong>g, chemicals, pack<strong>in</strong>g materials (cloth/polythene bag, tags, labels, gunny<br />

bags) and labour charges.<br />

3.6.4 Market<strong>in</strong>g<br />

a. Retailers: He is the one who sells company’s <strong>in</strong>dividual products/items <strong>in</strong> small quantities to<br />

the ultimate consumers.<br />

b. Cost <strong>of</strong> market<strong>in</strong>g: It is calculated by add<strong>in</strong>g commission charges, outward transport<br />

charges and advertisement expenses.


c. Outward transport charge: This is the charge <strong>in</strong>curred by the company <strong>in</strong> transport<strong>in</strong>g the<br />

products from warehouse to <strong>retail<strong>in</strong>g</strong> outlets.<br />

d. Commission charges: It is the charge paid to the <strong>in</strong>termediaries/commission agent while<br />

buy<strong>in</strong>g groceries from market. This varies from commodities to commodities.<br />

e. Advertisement expenses: These are the expenses <strong>in</strong>curred <strong>in</strong> sell<strong>in</strong>g the company’s<br />

products. This is calculated by add<strong>in</strong>g the cost <strong>of</strong> the items (Banners, Wall posters,<br />

Pamphlets, Advertis<strong>in</strong>g through medias like TV, radio etc) spent for promot<strong>in</strong>g the<br />

sales.<br />

f. Sales realisation: It is calculated by add<strong>in</strong>g the sale value <strong>of</strong> ma<strong>in</strong> products.<br />

3.6.5 Pric<strong>in</strong>g Methods<br />

I. Cost based pric<strong>in</strong>g methods: In this case no account is taken for market requirements but<br />

set <strong>of</strong> amount is added to the costs. The draw back <strong>of</strong> this method is that if cost<br />

<strong>in</strong>creases, the price <strong>of</strong> the product must also <strong>in</strong>crease.<br />

a. Absorption cost pric<strong>in</strong>g <strong>–</strong> Large departmental stores follow this k<strong>in</strong>d <strong>of</strong> pric<strong>in</strong>g methods. The<br />

price <strong>of</strong> each product is dependent on how many costs it creates.<br />

b. Target pric<strong>in</strong>g - A target price is made and then costs are adjusted.<br />

II. Market based pric<strong>in</strong>g methods: depends on accurate analysis <strong>of</strong> the market and consumer<br />

requirements.<br />

a. Penetration pric<strong>in</strong>g <strong>–</strong> This method is used for new products want<strong>in</strong>g to ga<strong>in</strong> market share.<br />

The product is priced low to get a hold <strong>in</strong> the market.<br />

b. Market skimm<strong>in</strong>g <strong>–</strong> for new <strong>in</strong>novative product, first few months higher prices were charged<br />

as there is a little competition and the product is popular because <strong>of</strong> it is new.<br />

c. Loss leader pric<strong>in</strong>g <strong>–</strong> charg<strong>in</strong>g below cost price to try and attract customers (<strong>in</strong><br />

<strong>supermarket</strong>s)<br />

d. Psychological pric<strong>in</strong>g <strong>–</strong> hitt<strong>in</strong>g price po<strong>in</strong>ts that are significant. Ex: Rs. 999.99 sounds better<br />

than Rs. 1000.<br />

e. Discount<strong>in</strong>g pric<strong>in</strong>g <strong>–</strong> Offer<strong>in</strong>g lower prices for a set time period to try and boost sales and<br />

sell <strong>of</strong>f unwanted stock.<br />

III. Competition based pric<strong>in</strong>g methods<br />

a. Go<strong>in</strong>g rate or market pric<strong>in</strong>g <strong>–</strong> Charg<strong>in</strong>g the same as the competitors or the market leader.<br />

b. Destroyer or destructor pric<strong>in</strong>g <strong>–</strong> Charg<strong>in</strong>g below average to drive out competition.


IV. RESULTS<br />

In consistence with the objectives <strong>of</strong> the study, the necessary data collected from<br />

various sources were analyzed and <strong>in</strong>terpreted and the results <strong>of</strong> such analysis are presented<br />

<strong>in</strong> this chapter under the follow<strong>in</strong>g head<strong>in</strong>gs.<br />

4.1 Documentation <strong>of</strong> <strong>supermarket</strong>s<br />

4.2 Investment pattern <strong>in</strong> <strong>supermarket</strong>s<br />

4.3 Organizational structure <strong>in</strong> <strong>supermarket</strong>s<br />

4.4 Procurement management <strong>in</strong> <strong>supermarket</strong>s<br />

4.5 Inventory management and its costs <strong>in</strong> <strong>supermarket</strong>s<br />

4.6 Process<strong>in</strong>g /Value addition <strong>in</strong> <strong>supermarket</strong>s<br />

4.7 F<strong>in</strong>ancial management <strong>in</strong> <strong>supermarket</strong>s<br />

4.8 Factors considered and methods <strong>of</strong> price-formation <strong>in</strong> <strong>supermarket</strong>s<br />

4.9 Problems faced by the <strong>food</strong> retailers<br />

4.10 Factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase the <strong>food</strong> products <strong>in</strong> <strong>supermarket</strong>s.<br />

4.1 DOCUMENTATION OF SUPERMARKETS<br />

S<strong>in</strong>ce <strong>food</strong> <strong>retail<strong>in</strong>g</strong> is relatively a recent development and <strong>supermarket</strong>s have been<br />

def<strong>in</strong><strong>in</strong>g retail element <strong>of</strong> the <strong>food</strong> <strong>in</strong>dustry, an effort was made <strong>in</strong> this section to collect and<br />

document exist<strong>in</strong>g <strong>supermarket</strong>s <strong>in</strong> selected cities across Karnataka. As on today (2006), the<br />

names <strong>of</strong> exist<strong>in</strong>g <strong>supermarket</strong>s, number <strong>of</strong> outlets and address <strong>of</strong> their head <strong>of</strong>fices are<br />

presented <strong>in</strong> Table 4.1.<br />

It was evident from the Table 4.1 that the majority <strong>of</strong> multi outlet forms <strong>of</strong> organized<br />

<strong>food</strong> <strong>retail<strong>in</strong>g</strong> firms were found only <strong>in</strong> cities like Bangalore and Mysore and recently formed<br />

un-organized form <strong>of</strong> outlets were observed <strong>in</strong> Mangalore, Belgaum and Hubli-Dharwad.<br />

However, the highest number <strong>of</strong> outlets accounted by Shubhiksha (40) followed by Foodworld<br />

(33), Fabmall (23), S*mart (18), Namdhari’s Fresh (14) and Niligiri Dairy Farm Ltd (12) were<br />

found <strong>in</strong> Bangalore city. The other <strong>supermarket</strong>s exist<strong>in</strong>g <strong>in</strong> the city were Spencer’s, Food<br />

Bazaar, Ahar <strong>supermarket</strong>s, Monday 2 Sunday, Farm L<strong>in</strong>e <strong>supermarket</strong>s, M.K Retail Co.<br />

Super Mart, Ruba traders etc. All these firms had their Head Offices at Bangalore only.<br />

In Mysore city, except few firms like Loyal World (which had 4 outlets), Fabmall, M.K<br />

Hussa<strong>in</strong> & Sons and Niligiri’s (2 outlets each); all other <strong>supermarket</strong>s had one outlets each.<br />

The famous <strong>supermarket</strong>s <strong>in</strong> the city were Loyal World, Arihanth Super Bazaar, Mohan<br />

Bhandar, Shivananda Supermarket, A-Z <strong>supermarket</strong>, and Food World. Among the exist<strong>in</strong>g<br />

<strong>supermarket</strong>s <strong>in</strong> the city, few organized <strong>supermarket</strong>ers like Food World, Niligiri’s,<br />

Shubhiksha and Fabmall have their Head Offices at Bangalore.<br />

Most <strong>of</strong> the <strong>supermarket</strong>s <strong>in</strong> Mangalore city were <strong>of</strong> un-organised and family owned.<br />

Except two outlets owned by Baliga Stores Supermarket, all other <strong>supermarket</strong>s had one<br />

outlets each <strong>in</strong> the city. The <strong>supermarket</strong>s like Andy’s <strong>supermarket</strong>, Apna Bazaar, Food<br />

World, Niligiri’s and Food Bazaar were well known <strong>in</strong> the city. On the other hand, the<br />

<strong>supermarket</strong>s like Jimmy’s Supermarket, Misbah Supermarket, Move N Pick, Noor Super<br />

Bazaar Ruby’s Supermarket, Sadhar Bazaar etc were also play<strong>in</strong>g their role <strong>in</strong> the bus<strong>in</strong>ess.<br />

In Hubli-Dharwad and Belgaum cities, most <strong>of</strong> the local and traditional retailers were<br />

recently convert<strong>in</strong>g their stores <strong>in</strong>to modern style <strong>supermarket</strong>s. It was witnessed from the<br />

Table 4.1 that Pick ‘n’ Pay, Sangram Food Basket, Day 2 Day, Needz Supermarket and<br />

Eshan Super Shoppe were the only five <strong>supermarket</strong>s <strong>in</strong> Hubli-Dharwad city. However, Pick<br />

‘n’ Pay and Sangram Food Basket had two outlets each <strong>in</strong> the city. The <strong>supermarket</strong>s<br />

operat<strong>in</strong>g <strong>in</strong> the Belgaum city were Hans Raj Supermarket, Neena Supermarket, Quality<br />

Supermarket, Rex Supermarket and Shoppers Paradise, which are all family owned.


Table 4.1: List <strong>of</strong> Supermarkets <strong>in</strong> the Study Area<br />

City<br />

Bangalore<br />

Mysore<br />

Name <strong>of</strong> the<br />

Supermarkets<br />

(No. <strong>of</strong><br />

Units)<br />

Head Office<br />

Shubhiksha 40 Indiranagar, Bangalore<br />

Food World 33<br />

Eswanth Industrial Estate, Hulimavu,<br />

B’lre-76<br />

Fab mall 23 Indiranagar, Bangalore-08<br />

S*mart 18 Maruthi Nagar, Bangalore<br />

Namdhari’s Fresh 14 Bidadi, Bangalore-09<br />

Nilgiri Dairy Farm Ltd 12 Koramangala, Bangalore-29<br />

Daily’s Super Market 8 Bangalore<br />

Spencer & Co Ltd 7<br />

Hulimavu, Bannerghatta Road, B’lre-<br />

76<br />

Food Bazaar 6<br />

216-13 Suraj Towers, 27th Crs, 3rd<br />

Blk, B’lre-11<br />

Ahar Supermarkets 5 25 Havanoor Cle, 4th Stg, B’lre-79<br />

Monday 2 Sunday 4<br />

Krishnanagar Industrial Area, Hosur<br />

Road, Bangalore-29<br />

Farm L<strong>in</strong>e Supermarkets 4 475 Sampige Rd, Bangalore-03<br />

M.K.Retail Co.Super<br />

Mart<br />

2 548/B, CMH Rd, I Ngr, Bangalore-38<br />

Mattsons Super Market 2 CMH Rd, I Ngr, Bangalore-38<br />

Ruba Traders 2<br />

59/2, 5th Mn, N S Palya, BTM, 2nd<br />

Stg, B’lre-76<br />

Veerasaiva Co-op<br />

Society Ltd<br />

1<br />

742, Magadi Chord Rd, Vijaynagar,<br />

B’lre-40<br />

Misra Super Market 1 G1 2, Ma Ngr, Maruti Corner, B’lre-33<br />

Needs Corner 1<br />

370, 13th Crs, 30th Mn, 2nd Stg Bnsk,<br />

B’lre-70<br />

Our Shoppe 1 62 Raj Rd, 1N Blk, R Ngr, B’lre-10<br />

Shop Right Super<br />

Market<br />

1<br />

5th Mn, Subbanna Lyt Mallesh Palya,<br />

B’lre-75<br />

Value Mart 1 11 & 12 P&T Clny, B’lre-32<br />

Loyal World 4 Temple road, V.V. Mohalla, Mysore<br />

Fabmall 2 Indiranagar, Bangalore-08<br />

M.K. Hussa<strong>in</strong> & Sons 2 Mysore<br />

Niligiri’s 2 Ballal Complex, K.M. Puram, Mysore<br />

Arihanth Super Bazar 1<br />

Hamilton Build<strong>in</strong>g, Ashok Road,<br />

Mysore<br />

A-Z Supermarket 1 Kuvempu Nagar, Mysore<br />

Daily’s Super Market 1 Kuvempu Nagar, Mysore<br />

Food World 1 Devraj Urs Road, Mysore<br />

Mahesh Stores 1 Br<strong>in</strong>davan Extn, I Stage, Mysore<br />

Mohan Bhandar 1 Sayyaji Road, Mysore<br />

Shivam Provisions &<br />

Stores<br />

1 Br<strong>in</strong>davan Extn, I Stage, Mysore


Shivananda<br />

Supermarket<br />

1 Adipampa Road, V.V. Mohalla, Mysore<br />

Shivanna Rice &<br />

Provisions Stores<br />

1 K.R. Hospital, Mysore<br />

Subhiksha 1 Kuvempu Nagar, Mysore<br />

Baliga Stores<br />

Supermarket<br />

2 Bejai, Mangalore-04<br />

Ajwaa Super Market 1<br />

Presidium Commercial Complex, Attavar,<br />

Mangalore<br />

Andy’s Supermarket 1 Emjays Complex, Balmatta, Mangalore-01<br />

Apna Bazar 1 Varmanjur, Mangalore-28<br />

Best Buy Bazar 1<br />

Shanthi Vittal, Canara Bank Cross Road,<br />

Mangalore<br />

City Bazaar 1<br />

Near Check Post, Permannur, Mangalore-<br />

17<br />

Family’s Supermarket 1<br />

Essel Chambers, Karangalpady,<br />

Mangalore-03<br />

Food World 1 Lulu Centre, Falnir Road, Mangalore-02<br />

Food Bazaar 1 Near KSRTC Bus Stand, Mangalore<br />

Jimmy’s Supermarket 1<br />

Pailands Plaza, Falnir Road, Mangalore-<br />

01<br />

Managalore<br />

Kuduva’s Super<br />

Shoppe<br />

1 Bajpe Road, Surathkal, Mangalore-14<br />

Misbah Supermarket 1<br />

Misbah Impex Build<strong>in</strong>g, Falnir Road,<br />

Mangalore-01<br />

Move N Pick 1<br />

Valencia Mansion, Valencia, Mangalore-<br />

02<br />

Niligiri’s 1 Mangalore<br />

Noor Super Bazar 1 Pandeshwar, Mangalore<br />

Panchami Super Bazar 1 Bejai, Church road, Mangalore-04<br />

Ruby’s Supermarket 1 Anna Vista Build<strong>in</strong>g, Kadri, Mnagalore-02<br />

Sadananda Super<br />

Store<br />

1 Surathkal, Mangalore-14<br />

Sadhar Bazaar 1 Thokottu, Mangalore-20<br />

Santhosh Supermarket 1 Lady hill, Mangalore<br />

Shammos Shop N<br />

Save Super Market<br />

1<br />

West Gate Centre, Pumpwell, Mangalore-<br />

02<br />

Velankanni Super<br />

Market<br />

1 Velankanni Towers., Mangalore-02<br />

Pick ‘n’ Pay 2 Gokhul Road, Hubli<br />

Sangam Food Basket 2 Keshwapur, Hubli<br />

Hubli-<br />

Dharwad<br />

Day 2 Day<br />

Supermarket<br />

Needz Supermarket<br />

1<br />

1<br />

Toll Naka, Hubli Road, Dharwad<br />

Baidappanavar Nagar, Hubli<br />

Eshan Super Shoppe 1<br />

Kattimani Build<strong>in</strong>g, Deshpande Nagar,<br />

Hubli<br />

Belgaum<br />

Hans Raj Supermarket 1 D.C. Compound, Belgaum<br />

Neena Supermarket 1 Azim Nagar, Belgaum<br />

Quality Supermarket 1 R.P.D Cross, Belgaum<br />

Rex Supermarket 1 Club Road, Belgaum<br />

Shoppers Paradise 1<br />

1st Floor, Ashraya Empire, Deshmukh<br />

Road,Tilakwadi, Belgaum, College Rd.


4.2 INVESTMENT PATTERN IN SUPERMARKETS<br />

The average area <strong>of</strong> the <strong>supermarket</strong> outlets and their capital <strong>in</strong>vestment patterns are<br />

presented <strong>in</strong> Table 4.2. It is observed from the table that the average area <strong>of</strong> the <strong>supermarket</strong><br />

was found to be more <strong>in</strong> Bangalore (4333.33 square feet) followed by Mysore (3133.33<br />

square feet), Hubli-Dharwad (2833.33 square feet), Mangalore (1833.33 square feet) and<br />

Belgaum (1200 square feet). The expenditure <strong>in</strong>curred on the establishment <strong>of</strong> <strong>supermarket</strong><br />

outlet is treated as fixed capital <strong>in</strong>vestment which <strong>in</strong>cludes land & build<strong>in</strong>g, mach<strong>in</strong>eries &<br />

equipment, <strong>in</strong>frastructural facilities, other fixtures, salary to permanent employees and other<br />

fixed capital.<br />

It could be seen from the table that the overall total fixed costs per outlet was 78.42<br />

lakh. Though, the fixed capital drastically varied from city to city, the highest <strong>of</strong> Rs. 258.30<br />

lakh was found <strong>in</strong> Bangalore followed by Rs. 71.60 lakh <strong>in</strong> Hubli-Dharwad, Rs. 39.23 lakh <strong>in</strong><br />

Mysore, Rs. 18.81 lakh <strong>in</strong> Belgaum and Rs. 13.00 lakh <strong>in</strong> Mangalore, conversely, it accounts<br />

for 30.01per cent <strong>of</strong> the total capital. Among different fixed capital, the proportion <strong>of</strong> land &<br />

build<strong>in</strong>g alone accounts for 23.50per cent <strong>of</strong> the total capital and the rema<strong>in</strong><strong>in</strong>g fixed capital<br />

elements such as mach<strong>in</strong>eries & equipments, other fixtures and salary to permanent<br />

employees accounts to 2.10per cent, 1.20per cent, 1.08per cent respectively, <strong>of</strong> the total<br />

capital. Incase <strong>of</strong> work<strong>in</strong>g capital, raw materials were the prime costs, contribut<strong>in</strong>g about 67<br />

per cent <strong>of</strong> the total work<strong>in</strong>g capital. The other work<strong>in</strong>g capital <strong>in</strong>curred <strong>in</strong> the establishment <strong>of</strong><br />

<strong>supermarket</strong>s were wages to casual labours, power charges, packag<strong>in</strong>g material etc and their<br />

share <strong>in</strong> the total capital was very meager (less than one per cent). However, at an overall<br />

average level the total costs required to establish a <strong>supermarket</strong> <strong>in</strong> Karnataka was Rs. 261.33<br />

lakh and the same <strong>in</strong> different cities such as Bangalore, Mysore, Hubli-Dharwad, Mangalore<br />

and Belgaum were Rs. 762.061 lakh, Rs. 205.876 lakh, Rs. 173.191 lakh, Rs. 96.78 lakh and<br />

Rs. 78.53 lakh, respectively.<br />

4.3 ORGANIZATIONAL STRUCTURE OF SUPERMARKETS<br />

Organizational structure <strong>in</strong>volves arrangement <strong>of</strong> activities and assignments <strong>of</strong><br />

personnel to these activities <strong>in</strong> order to achieve the organizational goals. From a managerial<br />

po<strong>in</strong>t <strong>of</strong> view the ma<strong>in</strong> concerns are ensur<strong>in</strong>g effective communication and coord<strong>in</strong>ation. It is a<br />

way by which various parts <strong>of</strong> an organization are tied together <strong>in</strong> coord<strong>in</strong>ated manner and it<br />

illustrates the various relationships among various levels <strong>of</strong> the hierarchy with<strong>in</strong> the<br />

organization as well as horizontal relationships among various aspects <strong>of</strong> the organizational<br />

operations. A well planned organization structure results <strong>in</strong> better use <strong>of</strong> resources.<br />

Such organization structure shows,<br />

i) The pattern <strong>of</strong> authority and responsibility among organization members.<br />

ii) The communication flow with<strong>in</strong> the organization.<br />

iii) The system <strong>of</strong> task differentiation and <strong>in</strong>tegration.<br />

The type <strong>of</strong> organization structure would depend upon the type <strong>of</strong> organization itself<br />

and its philosophy <strong>of</strong> operations. Basically there are six types <strong>of</strong> organization structures.<br />

a) L<strong>in</strong>e organization<br />

b) L<strong>in</strong>e and staff organization<br />

c) Functional organization<br />

d) The divisional organization<br />

e) Project organization<br />

f) Matrix organization<br />

Though the study found that l<strong>in</strong>e, l<strong>in</strong>e and staff, and the functional categories <strong>of</strong><br />

organizational structures <strong>in</strong> multi outlet (cha<strong>in</strong> <strong>of</strong> <strong>supermarket</strong>s) firms/companies, the l<strong>in</strong>e<br />

organization was commonly followed <strong>in</strong> both multi outlet firms (cha<strong>in</strong> <strong>of</strong> <strong>supermarket</strong>s) and<br />

<strong>supermarket</strong>s not <strong>in</strong> cha<strong>in</strong>.<br />

L<strong>in</strong>e organization: This is the clear and simplest form <strong>of</strong> organization and is the most common<br />

among low <strong>in</strong>vestment companies. The authority is embedded <strong>in</strong> the hierarchical structure


Table 4.2: Investment Pattern <strong>in</strong> Supermarkets<br />

Average Area <strong>of</strong> the Super market (Sq<br />

ft)<br />

Bangalore Mysore Mangalore Belgaum<br />

Hubli-<br />

Dharwad<br />

Overall<br />

4333.33 3133.33 1833.33 1200.00 2833.33 2666.67<br />

(Rs. <strong>in</strong> Lakhs)<br />

Fixed Capital<br />

Land & Build<strong>in</strong>g 217.30 22.87 2.65 13.73 50.51 61.41 23.50<br />

Mach<strong>in</strong>eries & Equipments 14.09 6.11 3.23 1.27 2.78 5.50 2.10<br />

Infrastructures 4.72 2.00 1.83 0.90 1.40 2.17 0.83<br />

Other Fixtures 6.11 2.55 2.12 1.45 3.42 3.13 1.20<br />

Salary to Permanent Employees 5.89 2.53 1.85 1.34 2.52 2.82 1.08<br />

Other Fixed Capital 10.19 3.17 1.31 0.12 10.98 3.39 1.30<br />

Total FC 258.30 39.23 13.00 18.81 71.60 78.42 30.01<br />

Work<strong>in</strong>g Capital<br />

Raw Material Capital 487.63 159.40 78.87 56.62 92.90 175.09 67.00<br />

Casual Wages 0.72 0.42 0.25 0.18 0.39 0.35 0.13<br />

Power Charges 3.56 2.09 1.14 1.20 2.11 2.02 0.77<br />

Packag<strong>in</strong>g Material 3.27 1.53 1.12 0.68 1.64 1.64 0.63<br />

Other Work<strong>in</strong>g Capital 9.25 3.22 2.40 1.05 4.55 3.81 1.46<br />

Total Work<strong>in</strong>g Capital 503.76 166.65 83.78 59.73 101.59 182.91 69.99<br />

Total Capital 762.06 205.88 96.77 78.53 173.19 261.33 100.00<br />

Note: 1. other fixtures like almeras, good will and electrical <strong>in</strong>stallations<br />

2. Other Fixed Capital <strong>in</strong>cludes - Borrowed capital, Interest on Borrowed capital, License fee, Insurance Premium etc.<br />

3. Other Work<strong>in</strong>g Capital <strong>in</strong>cludes - Repair & Ma<strong>in</strong>tenance, Fuel charges, Borrowed work<strong>in</strong>g capital, Interest on work<strong>in</strong>g capital, Telephone<br />

charges, Sales tax / VAT, Office ma<strong>in</strong>tenance, Build<strong>in</strong>g ma<strong>in</strong>tenance, Transport, Handl<strong>in</strong>g, Market fee, Advertisement etc.<br />

%


and it flows <strong>in</strong> a direct l<strong>in</strong>e from the top <strong>of</strong> the managerial hierarchy down to the operative<br />

levels <strong>of</strong> workers. It clearly identifies authority, responsibility and accountability at each level.<br />

These relationships <strong>in</strong> the hierarchy connect the position and tasks <strong>of</strong> each level with those<br />

above and below it. There is a clear unity <strong>of</strong> command so that the person at each level is<br />

reasonably <strong>in</strong>dependent <strong>of</strong> any other person at the same level and is responsible only to the<br />

person above him. Thereby, the communication is fast and easy feedback from the<br />

employees is acted upon faster. The l<strong>in</strong>e personnel are directly <strong>in</strong>volved <strong>in</strong> achiev<strong>in</strong>g the<br />

objectives <strong>of</strong> the company.<br />

L<strong>in</strong>e and staff organization: In this type <strong>of</strong> organizational structures del<strong>in</strong>eation <strong>of</strong><br />

organizational authority between management personnel (staff) hav<strong>in</strong>g overall plann<strong>in</strong>g and<br />

direction responsibilities and operational personnel (l<strong>in</strong>e) hav<strong>in</strong>g direct job performance<br />

responsibilities. Here staff is advisory to the l<strong>in</strong>e function.<br />

Functional Organization: This type <strong>of</strong> organization structure is based on functional<br />

performance, organizational departments created to fulfill organizational functions such as<br />

market<strong>in</strong>g, f<strong>in</strong>ance, and personnel. This type <strong>of</strong> organization has characteristics <strong>of</strong> both l<strong>in</strong>e<br />

and staff functions.<br />

The organization structures <strong>of</strong> <strong>supermarket</strong>s <strong>in</strong> cha<strong>in</strong> and <strong>supermarket</strong>s not <strong>in</strong> cha<strong>in</strong><br />

are illustrated <strong>in</strong> Figure 1 and Figure 2.<br />

4.3.1 Organizational structures <strong>of</strong> <strong>supermarket</strong>s <strong>in</strong> cha<strong>in</strong><br />

In the hierarchy <strong>of</strong> these outlets/<strong>supermarket</strong>s, they have executive (Manag<strong>in</strong>g<br />

Director (MD)/Chief Executive Officer (CEO)). The role <strong>of</strong> a Manag<strong>in</strong>g Director (MD) is to<br />

design, develop and implement the strategic plan for their company <strong>in</strong> the most cost effective<br />

and time efficient manner. He is responsible for both the day-to-day runn<strong>in</strong>g <strong>of</strong> the company<br />

and develop<strong>in</strong>g bus<strong>in</strong>ess plans for the long term future <strong>of</strong> the organization. In the<br />

Supermarket firms, MD is assisted by General Managers (GM) <strong>of</strong> all the departments such as<br />

Purchase, Market<strong>in</strong>g, f<strong>in</strong>ance and the systems.<br />

The General Manager is also an executive who has overall responsibility for<br />

manag<strong>in</strong>g both the revenue and cost elements <strong>of</strong> a particular department. This is <strong>of</strong>ten<br />

referred to as Pr<strong>of</strong>it & Loss (P&L) responsibility. This means that General Managers usually<br />

oversee most or all <strong>of</strong> the functions as well as the day-to-day operations <strong>of</strong> the particular<br />

department. Frequently, He is also responsible for lead<strong>in</strong>g or coord<strong>in</strong>at<strong>in</strong>g the strategic<br />

plann<strong>in</strong>g functions <strong>of</strong> the company. The GM (Purchase) is assisted by an Assistant General<br />

Manager (AGM); he is <strong>in</strong> turn assisted by Purchase managers, Store managers, Supervisors<br />

and labours <strong>in</strong> a hierarchy. The whole team is responsible for the complete purchase and<br />

procurement <strong>of</strong> related materials for the company. The Purchas<strong>in</strong>g managers, buyers, and<br />

purchas<strong>in</strong>g agents make up a key component <strong>of</strong> a firm’s supply cha<strong>in</strong>. The responsibilities <strong>of</strong><br />

the GM (Market<strong>in</strong>g) and his team <strong>in</strong>volve supervision, market<strong>in</strong>g, pr<strong>of</strong>itability and sales,<br />

report<strong>in</strong>g, resale pric<strong>in</strong>g, <strong>in</strong>ventory, service ma<strong>in</strong>tenance and other duties as requested by<br />

management. He is assisted by an AGM (Market<strong>in</strong>g), Shop managers, supervisors, cashiers,<br />

attenders, sales representatives and watchmen <strong>in</strong> a top-down hierarchy. The GM (F<strong>in</strong>ance)<br />

assisted with AGM (Accounts) and Accountants is responsible for ma<strong>in</strong>tenance <strong>of</strong> overall<br />

account<strong>in</strong>g and audit<strong>in</strong>g aspects <strong>of</strong> the bus<strong>in</strong>ess. F<strong>in</strong>ally, GM (System) looks after day to day<br />

operations <strong>of</strong> the <strong>supermarket</strong>s and is responsible for develop<strong>in</strong>g process, systems, quality<br />

and service standards. The flow chart <strong>of</strong> the organizational structure <strong>of</strong> <strong>supermarket</strong>s is<br />

shown <strong>in</strong> Fig. 1.<br />

4.3.2 Organizational structures <strong>of</strong> <strong>supermarket</strong>s not <strong>in</strong> cha<strong>in</strong><br />

In these <strong>supermarket</strong>s, the Proprietor or the Manager is the head <strong>of</strong> the <strong>supermarket</strong><br />

and he will be the decision maker <strong>in</strong> the organization. He is usually assisted with Supervisors,<br />

Cashiers, Sales representatives and watchmen <strong>in</strong> a hierarchical way. The manager himself<br />

looks after purchas<strong>in</strong>g, <strong>in</strong>ventory and market<strong>in</strong>g activities. Some time, the supervisors are<br />

attend<strong>in</strong>g for various activities like purchas<strong>in</strong>g, process<strong>in</strong>g, market<strong>in</strong>g and sales activities as<br />

assigned by the manager. The organizational flow chart is shown <strong>in</strong> Fig. 2.


4.4 PROCUREMENT MANAGEMENT IN SUPERMARKETS<br />

Procurement Management automates all procurement processes and enables any<br />

organization to establish a collaborative work<strong>in</strong>g relationship with key suppliers. More efficient<br />

and streaml<strong>in</strong>ed procurement activities reduce purchas<strong>in</strong>g costs, elim<strong>in</strong>ate unnecessary<br />

transactions, and enable us to take advantage <strong>of</strong> strategic supplier relationships.<br />

4.4.1 Exist<strong>in</strong>g procurement patterns<br />

The exist<strong>in</strong>g purchas<strong>in</strong>g pattern and the agency preferred by the <strong>supermarket</strong>s<br />

across Karnataka are presented <strong>in</strong> Table 4.3. It was observed from the table that the<br />

<strong>supermarket</strong>s followed centralized or store level purchas<strong>in</strong>g pattern for procur<strong>in</strong>g the selected<br />

products. In Bangalore, cent per cent <strong>of</strong> the <strong>supermarket</strong>s followed centralized purchas<strong>in</strong>g<br />

pattern whereas <strong>in</strong> case <strong>of</strong> Mangalore and Belgaum, cent per cent preferred store level<br />

purchas<strong>in</strong>g. In Mysore, 66.67per cent preferred store level purchas<strong>in</strong>g and 33.33per cent<br />

have gone for centralized purchas<strong>in</strong>g and the reverse was found <strong>in</strong> Hubli-Dharwad. Further, it<br />

was noticed from the table that all the <strong>supermarket</strong>s purchased groceries through<br />

Commission Agent/Market <strong>in</strong> all the cities but fruits and vegetables were purchased from<br />

various sources. In addition to the own production and direct purchase from the farmers,<br />

some <strong>of</strong> the <strong>supermarket</strong>s <strong>in</strong> Bangalore purchased fruits and vegetables from Commission<br />

Agents also for resale at <strong>supermarket</strong>s but <strong>in</strong> Mysore and Mangalore these products were<br />

purchased from Commission Agents only. No sale <strong>of</strong> fruits and vegetables was found <strong>in</strong><br />

Belgaum and Hubli-Dharwad <strong>supermarket</strong>s.<br />

4.4.2 Monthly Average Quantity and Value <strong>of</strong> Procurement <strong>in</strong> Various<br />

Supermarkets across Cities<br />

4.4.2.1 Bangalore<br />

The monthly average quantity and value <strong>of</strong> procurement <strong>of</strong> selected commodities by<br />

<strong>supermarket</strong>s <strong>in</strong> Bangalore city are presented <strong>in</strong> Table 4.4. It was revealed from the table that<br />

among grocery items, the average frequency <strong>of</strong> purchase was 4.67 <strong>in</strong> rice, wheat, green gram<br />

and tur dal but it was 4.33 <strong>in</strong> chilli and 2.67 <strong>in</strong> mustard. Rice was procured <strong>in</strong> highest (10.46<br />

qu<strong>in</strong>tals) quantity followed by tur dal (2.77 qu<strong>in</strong>tals), green gram (2.38 qu<strong>in</strong>tals), wheat (1.84<br />

qu<strong>in</strong>tals), chilli (0.33 qu<strong>in</strong>tals) and mustard (0.24 qu<strong>in</strong>tals). All the groceries were procured<br />

from the commission agents/market. The SMR (standard), SMR (premium) and SMR<br />

(regular) varieties <strong>in</strong> rice, and Byadgi stem less variety <strong>of</strong> chilli were the major varieties <strong>in</strong> their<br />

respective items procured <strong>in</strong> highest quantities. However, the total amount spent on these<br />

items was found to be high <strong>in</strong> rice (Rs. 86,446.58) followed by green gram (Rs. 51,451.11),<br />

tur dal (Rs. 42,543.19), wheat (Rs. 17,664.28), chilli (Rs. 10,375.28) and mustard (Rs.<br />

1,603.34). The weighted average price per qu<strong>in</strong>tal was the highest <strong>in</strong> chilli (Rs. 7,238.57) and<br />

lowest <strong>in</strong> rice (Rs. 1740.54) <strong>in</strong> grocery items.<br />

Whereas <strong>in</strong>case <strong>of</strong> fruits and vegetables, tomato was procured was highest (2.93<br />

qu<strong>in</strong>tals) quantity followed by onion (2.68 qu<strong>in</strong>tals) and banana (1.25 qu<strong>in</strong>tals each), and<br />

apple (0.60 qu<strong>in</strong>tals). On an average, the frequency <strong>of</strong> purchase was 10 <strong>in</strong> case <strong>of</strong> tomato<br />

and banana while it was 4.67 <strong>in</strong> onion and 8.33 <strong>in</strong> apple. In addition to commission agents<br />

and direct procurement <strong>of</strong> tomato from farmers, own production was also detected <strong>in</strong><br />

Bangalore <strong>supermarket</strong>s. The maximum amount spent <strong>in</strong> procurement <strong>of</strong> apple.<br />

4.4.2.2 Mysore<br />

Table 4.5 represents the average quantity and value <strong>of</strong> products procurement <strong>of</strong><br />

commodities by <strong>supermarket</strong>s <strong>in</strong> Mysore city. The average monthly frequency <strong>of</strong> purchase<br />

was four <strong>in</strong> rice, wheat, green gram, tur dal and chilli whereas it was 15 times <strong>in</strong> mustard.<br />

Here the highest quantity <strong>of</strong> commodity procured by the <strong>supermarket</strong>s was <strong>in</strong> rice (7.48<br />

qu<strong>in</strong>tals) followed by green gram (1.58 qu<strong>in</strong>tals), tur dal (1.38 qu<strong>in</strong>tals), wheat (1.03 qu<strong>in</strong>tals),<br />

chilli (0.16 qu<strong>in</strong>tals) and mustard (0.12 qu<strong>in</strong>tals) <strong>in</strong> grocery items. In respect <strong>of</strong> total amount,<br />

the maximum <strong>of</strong> Rs. 49,797.89 was observed <strong>in</strong> rice due to its high quantity procured and the<br />

m<strong>in</strong>imum was found <strong>in</strong> mustard (Rs. 583.33) as it was purchased <strong>in</strong> small quantity.<br />

The maximum procurement <strong>in</strong> case <strong>of</strong> fruits and vegetables was found <strong>in</strong> banana (20<br />

qu<strong>in</strong>tals) followed by tomato (12 qu<strong>in</strong>tals), onion (10 qu<strong>in</strong>tals) and apple (6 qu<strong>in</strong>tals) and the<br />

total amounts to Rs. 33,120 for apple, Rs. 33,000 for banana, Rs. 6,700 for onion and Rs.


Fig.1: Organizational structure <strong>of</strong> super market <strong>in</strong> cha<strong>in</strong>


Fig.2: Organizational Structure <strong>of</strong> small Supermarkets (Not <strong>in</strong> Cha<strong>in</strong>)


Table 4.4: Monthly Average Quantity and Value <strong>of</strong> Products Procurement <strong>in</strong> Bangalore Supermarkets<br />

Rice<br />

Wheat<br />

Green Gram<br />

Tur Dal<br />

Products Agency Purchase<br />

Frequency<br />

Qty<br />

Purchased<br />

/Trip (qtls)<br />

Price/<br />

Qu<strong>in</strong>tal<br />

(Rs)<br />

Total Quantity<br />

(Qtls)<br />

Total Amount<br />

(Rs)<br />

SMR (Premium) 4.67 2.29 1863.33 10.67 19875.56<br />

SMR (Regular) 4.67 2.21 1762.33 10.33 18210.78<br />

SMR (Std) 4.67 2.45 1647.67 11.42 18810.86<br />

PBRice 4.67 0.34 1662.00 1.58 2631.50<br />

Idli Rice 4.67 1.00 1299.00 4.67 6062.00<br />

RBR Traders <strong>in</strong> APMC 4.67 0.41 1351.00 1.92 2589.42<br />

Jeera Rice 4.67 0.43 2402.00 2.00 4804.00<br />

Dosa rice 4.67 0.64 1256.67 3.00 3770.00<br />

Basmati Rice 4.67 0.88 2373.67 4.08 9692.47<br />

Total 10.64 49.67 86446.58<br />

Weighted Average<br />

1740.54<br />

Punjab 4.67 1.23 1579.33 5.75 9081.17<br />

Broken<br />

Total<br />

Traders <strong>in</strong> APMC<br />

4.67 0.61<br />

1.84<br />

3029.33 2.83<br />

8.58<br />

8583.11<br />

17664.28<br />

Weighted Average<br />

2057.97<br />

GM whole 4.67 1.59 4640.00 7.42 34413.33<br />

GM split<br />

Total<br />

Traders <strong>in</strong> APMC<br />

4.67 0.79<br />

2.38<br />

4646.67 3.67<br />

11.08<br />

17037.78<br />

51451.11<br />

Weighted Average<br />

4642.21<br />

Premium 4.67 1.91 3421.67 8.92 30509.86<br />

Regular<br />

Total<br />

Traders <strong>in</strong> APMC<br />

4.67 0.86<br />

2.77<br />

3008.33 4.00<br />

12.92<br />

12033.33<br />

42543.19<br />

Weighted Average<br />

3293.67<br />

Contd…….


Chilli<br />

Byadigi (with stem) 4.33 0.15 7158.33 0.67 4772.22<br />

Guntur (stem less) 4.33 0.09 7833.33 0.38 3002.78<br />

Guntur (with stem) Traders <strong>in</strong> APMC 4.33 0.09 6783.33 0.38 2600.28<br />

Total 0.33 1.43 10375.28<br />

Weighted Average<br />

7238.57<br />

Mustard Big Traders <strong>in</strong> APMC 2.67 0.24 2518.33 0.64 1603.34<br />

Tomato<br />

Tomato<br />

Farmer 10.00 1.43 435.00 14.25 6198.75<br />

Own prodn 10.00 1.50 375.00 15.00 5625.00<br />

Total 2.93 29.25 11823.75<br />

Weighted Average 404.23<br />

Onion Onion Wholesale Market 4.67 2.68 728.33 12.50 9104.17<br />

Banana Banana Wholesale Market 10.00 1.25 1800.00 12.50 22500.00<br />

Apple Shimla Apple Wholesale Market 8.33 0.60 5350.00 5.00 26750.00<br />

Note: Traders <strong>in</strong> APMC-Agricultural Produce Market Committee


Table 4.5: Monthly Average Quantity and Value <strong>of</strong> Products procurement <strong>in</strong> Mysore Supermarkets<br />

Products Agency<br />

Rice<br />

Wheat<br />

Purchase<br />

Frequency<br />

Qty<br />

Purchased/Trip<br />

(qtls)<br />

Price/<br />

Qu<strong>in</strong>tal (Rs)<br />

Total<br />

Quantity<br />

(Qtls)<br />

Total<br />

Amount (Rs)<br />

SMR (Premium) 4 1.25 1785.00 5.00 8925.00<br />

SMR (Regular) 4 1.42 1733.33 5.67 9822.22<br />

SMR (Std) 4 2.17 1621.67 8.67 14054.44<br />

PBRice 4 0.25 1608.33 1.00 1608.33<br />

Idli Rice 4 0.72 1256.67 2.87 3602.44<br />

RBR Traders <strong>in</strong> APMC 4 0.25 1316.67 1.00 1316.67<br />

Jeera Rice 4 0.25 2350.00 1.00 2350.00<br />

Dosa rice 4 0.68 1248.33 2.73 3412.11<br />

Basmati Rice 4 0.50 2353.33 2.00 4706.67<br />

Total 7.48 29.93 49797.89<br />

Weighted Average<br />

1663.63<br />

Punjab 4 0.75 1553.33 3.00 4660.00<br />

Broken 4 0.28 3040.00 1.13 3445.33<br />

Traders <strong>in</strong> APMC<br />

Total 1.03 4.13 8105.33<br />

Weighted Average<br />

1960.97<br />

Contd…..


Green<br />

Gram<br />

Tur Dal<br />

Chilli<br />

GM whole 4 0.83 4623.33 3.33 15411.11<br />

GM split<br />

Traders <strong>in</strong> APMC<br />

4 0.75 4661.67 3.00 13985.00<br />

Total 1.58 6.33 29396.11<br />

Weighted Average<br />

4641.49<br />

Premium 4 0.80 3393.33 3.20 10858.67<br />

Regular 4 0.58 3033.33 2.33 7077.78<br />

Traders <strong>in</strong> APMC<br />

Total 1.38 5.53 17936.44<br />

Weighted Average<br />

3241.53<br />

Byadigi (with stem) 4 0.07 7220.00 0.27 1925.33<br />

Guntur (stem less) 4 0.05 7815.00 0.20 1563.00<br />

Guntur (with stem) Traders <strong>in</strong> APMC 4 0.04 6780.00 0.17 1175.20<br />

Total 0.16 0.64 4663.53<br />

Weighted Average<br />

7286.77<br />

Mustard Big Traders <strong>in</strong> APMC 15 0.12 2500.00 0.23 583.33<br />

Tomato Tomato Wholesale Market 15 0.80 550.00 12.00 6600.00<br />

Onion Onion Wholesale Market 4 2.50 670.00 10.00 6700.00<br />

Banana Banana Wholesale Market 10 2.00 1650.00 20.00 33000.00<br />

Apple Shimla Apple Wholesale Market 10 0.60 5520.00 6.00 33120.00<br />

Note: Traders <strong>in</strong> APMC-Agricultural Produce Market Committee


6600 for tomato. The average frequency <strong>of</strong> purchase was 15 <strong>in</strong> tomato, 10 <strong>in</strong> banana and<br />

apple, but four <strong>in</strong> onion.<br />

4.4.2.3 Mangalore<br />

The average monthly procurement <strong>of</strong> selected commodities by the <strong>supermarket</strong>s <strong>in</strong><br />

Mangalore city is shown <strong>in</strong> Table 4.6. It could be seen from the table that the maximum<br />

quantity <strong>of</strong> grocery was purchased <strong>in</strong> rice (39.65 qu<strong>in</strong>tals amounts to Rs. 64,186.33) followed<br />

by tur dal (6.82 qu<strong>in</strong>tals amounts to Rs. 21,105.08), green gram (5.63 qu<strong>in</strong>tals amounts to Rs.<br />

25,071.11), wheat (2.48 qu<strong>in</strong>tals amounts to Rs. 4,996.94) chilli (0.69 qu<strong>in</strong>tals) and mustard<br />

(0.15 qu<strong>in</strong>tals). The purchase frequency was 5.67 <strong>in</strong> rice, wheat, green gram, tur dal and<br />

chilli. Mustard procured 2.33 times <strong>in</strong> a month.<br />

In fruits and vegetables, there was no sale <strong>of</strong> apple noticed <strong>in</strong> Mangalore<br />

<strong>supermarket</strong>s, however, more procurement quantity and total costs were observed <strong>in</strong> banana<br />

(9 qu<strong>in</strong>tals & Rs. 14,700) followed by onion (5.5 qu<strong>in</strong>tals & Rs. 3932.50) and tomato (4.5<br />

qu<strong>in</strong>tals & Rs. 2797.50). The unit costs were also <strong>in</strong> the same order, while the purchase<br />

frequency was 10 <strong>in</strong> tomato and banana, and five <strong>in</strong> onion.<br />

4.4.2.4 Belgaum<br />

The purchase frequency <strong>of</strong> groceries <strong>in</strong> Belgaum was differed from commodity to<br />

commodity (Table 4.7). However, the frequency observed was 4.39 <strong>in</strong> rice, 4.67 <strong>in</strong> wheat,<br />

4.33 <strong>in</strong> green gram, 4.42 <strong>in</strong> tur dal, 4.33 <strong>in</strong> chilli and two <strong>in</strong> mustard. All these products were<br />

procured from commission agents only. The table reveals that rice (13.95 qu<strong>in</strong>tals) was the<br />

major commodity procured by the <strong>supermarket</strong>s followed by tur dal (4.25 qu<strong>in</strong>tals), wheat<br />

(3.83 qu<strong>in</strong>tals), chilli (0.19 qu<strong>in</strong>tals) and mustard (0.09 qu<strong>in</strong>tals). While the estimated total<br />

amount were Rs. 21,962.78, Rs. 12,562.50, Rs. 12,611.39, Rs. 6,974.31, Rs. 1,292 and Rs.<br />

196.44 <strong>in</strong> case <strong>of</strong> rice, tur dal, green gram, wheat, chilli and mustard, respectively. No sale <strong>of</strong><br />

fruits and vegetables was noticed <strong>in</strong> Belgaum city <strong>supermarket</strong>s.<br />

4.4.2.5 Hubli-Dharwad<br />

Table 4.8 presents the average monthly costs <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong><br />

commodities by <strong>supermarket</strong>s <strong>in</strong> Hubli-Dharwad city. It could be seen from the table that rice<br />

followed by green gram, tur dal, wheat, chilli and mustard were procured <strong>in</strong> the order <strong>of</strong> 26.77<br />

qu<strong>in</strong>tals, 5.75 qu<strong>in</strong>tals, 5.22 qu<strong>in</strong>tals, 5.50 qu<strong>in</strong>tals, 0.26 qu<strong>in</strong>tals and 0.18 qu<strong>in</strong>tals,<br />

respectively. The amount spent high <strong>in</strong> respective commodities. The frequency purchase was<br />

3.67 <strong>in</strong> rice, wheat, green gram, tur dal and two <strong>in</strong> mustard. No sale <strong>of</strong> fruits and vegetables<br />

were seen <strong>in</strong> Hubli-Dharwad.<br />

4.4.2.5 Overall<br />

The overall monthly average quantity and value <strong>of</strong> products procured across different<br />

cities <strong>in</strong> Karnataka are shown <strong>in</strong> Table 4.9. It was noticed from the table that the average<br />

frequency <strong>of</strong> purchase <strong>in</strong> groceries was 4.53 times a month <strong>in</strong> rice and wheat, 4.47 times <strong>in</strong><br />

green gram, 4.48 times <strong>in</strong> tur dal, 4.67 times <strong>in</strong> chilli but only 2.2 times <strong>in</strong> mustard. The<br />

quantity purchased was also more <strong>in</strong> rice (7.69 qu<strong>in</strong>tals) followed by tur dal (1.55 qu<strong>in</strong>tals),<br />

green gram (1.42 qu<strong>in</strong>tals), wheat (1.09 qu<strong>in</strong>tals), chilli (0.21 qu<strong>in</strong>tals) and mustard (0.12<br />

qu<strong>in</strong>tals). The amount spent on grocery items was more <strong>in</strong> rice (Rs. 57,715.31) followed by<br />

green gram (Rs. 9,48,952), tur dal (Rs. 21,716.35), wheat (Rs. 9,489.52), chilli (Rs. 6,482.37)<br />

and mustard (Rs. 6,482.37). Further, it is revealed that the APMC was the only agency<br />

preferred <strong>in</strong> buy<strong>in</strong>g these products.<br />

In case <strong>of</strong> fruits and vegetables, the purchase frequency was more <strong>in</strong> tomato (10.83)<br />

and banana (10.00). Similarly, the quantity purchased was high <strong>in</strong> tomato (2.16 qu<strong>in</strong>tals/trip)<br />

as the quantity purchased <strong>in</strong> maximum quantity. Apart from own production, these fruits and<br />

vegetables were procured from various sources such as commission agents and direct<br />

purchase from the farmers particularly <strong>in</strong> case <strong>of</strong> tomato.


Table 4.6: Monthly Average Quantity and Value <strong>of</strong> Products Procurement <strong>in</strong> Mangalore Supermarkets<br />

Rice<br />

Wheat<br />

Green Gram<br />

Products Agency<br />

Purchase<br />

Frequency<br />

Qty Purchased/<br />

Trip (qtls)<br />

Price/<br />

Qu<strong>in</strong>tal<br />

(Rs)<br />

Total Quantity<br />

(Qtls)<br />

Total Amount<br />

(Rs)<br />

SMR (Premium) 5.67 1.03 1813.33 5.83 10577.78<br />

SMR (Regular) 5.67 1.36 1726.67 7.73 13352.89<br />

SMR (Std) 5.67 1.60 1625.00 9.08 14760.42<br />

PBRice 5.67 0.66 1558.33 3.75 5843.75<br />

Traders <strong>in</strong> APMC<br />

Idli Rice 5.67 0.51 1200.00 2.87 3440.00<br />

RBR 5.67 0.70 1250.00 3.95 4937.50<br />

Dosa rice 5.67 0.59 1175.00 3.33 3916.67<br />

Basmati Rice<br />

5.67 0.55 2373.33 3.10 7357.33<br />

Total 7.00 39.65 64186.33<br />

Weighted Average 1618.82<br />

Punjab 5.67 0.29 1530.00 1.62 2473.50<br />

Traders <strong>in</strong> APMC<br />

Broken<br />

5.67 0.15 2911.67 0.87 2523.44<br />

Total 0.44 2.48 4996.94<br />

Weighted Average 2012.19<br />

GM whole 5.67 0.49 4366.67 2.80 12226.67<br />

Traders <strong>in</strong> APMC<br />

GM split<br />

5.67 0.50 4533.33 2.83 12844.44<br />

Total 0.99 5.63 25071.11<br />

Weighted Average 4450.49<br />

Contd…..


Tur Dal<br />

Chilli<br />

Premium 5.67 0.51 3240.00 2.87 9288.00<br />

Traders <strong>in</strong> APMC<br />

Regular<br />

5.67 0.70 2991.67 3.95 11817.08<br />

Total 1.20 6.82 21105.08<br />

Weighted Average 3096.10<br />

Byadigi (with stem) 5.67 0.05 7090.00 0.26 1867.03<br />

Guntur (stem less) Traders <strong>in</strong> APMC 6.50 0.04 7225.00 0.26 1842.38<br />

Guntur (with stem)<br />

5.67 0.03 6641.67 0.18 1162.29<br />

Total 0.12 0.69 4871.70<br />

Weighted Average 7026.49<br />

Mustard Big Traders <strong>in</strong> APMC 2.33 0.06 2406.67 0.15 361.00<br />

Tomato Tomato Wholesale Market 10.00 0.45 621.67 4.50 2797.50<br />

Onion Onion Wholesale Market 5.00 1.10 715.00 5.50 3932.50<br />

Banana Banana Wholesale Market 10.00 0.90 1633.33 9.00 14700.00<br />

Note: Traders <strong>in</strong> APMC-Agricultural Produce Market Committee


Table 4.7: Monthly Average Quantity and Value <strong>of</strong> Products procurement <strong>in</strong> Belgaum Supermarkets<br />

Rice<br />

Wheat<br />

Products Agency<br />

Purchase<br />

Frequency<br />

Qty Purchased/Trip<br />

(qtls)<br />

Price/<br />

Qu<strong>in</strong>tal (Rs)<br />

Total<br />

Quantity<br />

(Qtls)<br />

Total<br />

Amount<br />

(Rs)<br />

SMR (Premium) 4.50 0.67 1700.00 3.00 5100.00<br />

SMR (Regular) 4.33 0.77 1658.33 3.33 5527.78<br />

SMR (Std) Traders <strong>in</strong> 4.33 0.92 1500.00 3.97 5950.00<br />

Idli Rice<br />

APMC<br />

4.33 0.35 1200.00 1.50 1800.00<br />

Dosa rice 4.33 0.27 1150.00 1.15 1322.50<br />

Basmati Rice<br />

4.50 0.22 2262.50 1.00 2262.50<br />

Total 3.19 13.95 21962.78<br />

Weighted Average 1574.39<br />

Punjab Traders <strong>in</strong> 4.33 0.60 1441.67 2.58 3724.31<br />

Broken<br />

APMC<br />

5.00 0.25 2600.00 1.25 3250.00<br />

Total 0.85 3.83 6974.31<br />

Weighted Average 1819.38<br />

Contd……


Green Gram<br />

Tur Dal<br />

Chilli<br />

Mustard<br />

GM whole Traders <strong>in</strong> 4.33 0.44 4233.33 1.90 8043.33<br />

GM split<br />

APMC<br />

4.33 0.25 4216.67 1.08 4568.06<br />

Total 0.69 2.98 12611.39<br />

Weighted Average 4227.28<br />

Premium Traders <strong>in</strong> 4.50 0.50 3050.00 2.25 6862.50<br />

Regular<br />

APMC<br />

4.33 0.46 2850.00 2.00 5700.00<br />

Total 0.96 4.25 12562.50<br />

Weighted Average 2955.88<br />

Byadigi (with stem)<br />

Big<br />

Note: Traders <strong>in</strong> APMC-Agricultural Produce Market Committee<br />

Traders <strong>in</strong><br />

APMC 4.33 0.04 6800.00 0.19 1292<br />

Traders <strong>in</strong><br />

APMC 2.00 0.04 2266.67 0.09 196.44


Table 4.8: Monthly Average Quantity and Value <strong>of</strong> Products Procurement <strong>in</strong> Hubli-Dharwad Supermarkets<br />

Rice<br />

Wheat<br />

Products Agency<br />

Purchase<br />

Frequency<br />

Qty Purchased/Trip<br />

(qtls)<br />

Price/<br />

Qu<strong>in</strong>tal (Rs)<br />

Total<br />

Quantity<br />

(Qtls)<br />

Total<br />

Amount<br />

(Rs)<br />

SMR (Premium) 3.67 2.09 1795.00 7.67 13761.67<br />

SMR (Regular) 3.67 1.45 1701.67 5.33 9075.56<br />

SMR (Std) Traders <strong>in</strong> 3.67 1.91 1606.67 7.00 11246.67<br />

Idli Rice<br />

APMC<br />

3.67 0.70 1266.67 2.58 3272.22<br />

Dosa rice 3.67 0.63 1183.33 2.32 2741.39<br />

Basmati Rice<br />

3.67 0.51 2366.67 1.87 4417.78<br />

Total 7.30 26.77 44515.28<br />

Weighted Average 1663.09<br />

Punjab Traders <strong>in</strong> 3.67 1.09 1476.67 4.00 5906.67<br />

Broken<br />

APMC<br />

3.67 0.41 2758.33 1.50 4137.50<br />

Total 1.50 5.50 10044.17<br />

Weighted Average 1826.21<br />

Contd…….


Green Gram<br />

Tur Dal<br />

Chilli<br />

Mustard<br />

GM whole Traders <strong>in</strong> 3.67 0.80 4050.00 2.92 11812.50<br />

GM split<br />

APMC<br />

3.67 0.77 4236.67 2.83 12003.89<br />

Total 1.57 5.75 23816.39<br />

Weighted Average 4141.98<br />

Premium Traders <strong>in</strong> 3.67 0.60 3136.67 2.22 6952.94<br />

Regular<br />

APMC<br />

3.67 0.82 2970.00 3.00 8910.00<br />

Total 1.42 5.22 15862.94<br />

Weighted Average 3040.82<br />

Byadigi (with stem)<br />

Big<br />

Traders <strong>in</strong><br />

APMC<br />

Traders <strong>in</strong><br />

APMC<br />

Note: Traders <strong>in</strong> APMC-Agricultural Produce Market Committee<br />

3.67 0.07 6783.33 0.26 1763.67<br />

2.00 0.09 2350.00 0.18 423.00


Table 4.9: Overall Monthly Average Quantity and Value <strong>of</strong> Products Procurement <strong>in</strong> Supermarkets<br />

Rice<br />

Wheat<br />

Products Agency<br />

Purchase<br />

Frequency<br />

Qty Purchased<br />

/Trip (qtls)<br />

Price/<br />

Qu<strong>in</strong>tal(Rs)<br />

Total<br />

Quantity(Qtls)<br />

Total Amount<br />

(Rs)<br />

SMR (Premium) 4.50 1.43 1791.33 6.43 11524.24<br />

SMR (Regular) 4.47 1.45 1716.47 6.48 11122.70<br />

SMR (Std) 4.47 1.80 1600.20 8.03 12844.27<br />

PBRice 4.78 0.44 1609.56 2.11 3397.95<br />

Idli Rice 4.47 0.65 1244.47 2.90 3604.81<br />

RBR Traders <strong>in</strong> APMC 4.78 0.48 1305.89 2.29 2989.03<br />

Jeera Rice 4.33 0.35 2376.00 1.50 3564.00<br />

Dosa rice 4.47 0.56 1202.67 2.51 3014.68<br />

Basmati Rice 4.50 0.54 2345.90 2.41 5653.62<br />

Total 7.69 34.65 57715.31<br />

Weighted Average<br />

1665.51<br />

Punjab 4.47 0.76 1516.20 3.39 5139.92<br />

Broken 4.60 0.33 2867.87 1.52 4349.60<br />

Traders <strong>in</strong> APMC<br />

Total 1.09 4.91 9489.52<br />

Weighted Average<br />

1934.00<br />

Contd……


Green<br />

Gram<br />

Tur Dal<br />

Chilli<br />

GM whole 4.47 0.82 4382.67 3.67 16099.00<br />

GM split 4.47 0.60 4459.00 2.68 11964.98<br />

Traders <strong>in</strong> APMC<br />

Total 1.42 6.36 28063.98<br />

Weighted Average<br />

4414.89<br />

Premium 4.50 0.86 3248.33 3.89 12636.02<br />

Regular<br />

Total<br />

Traders <strong>in</strong> APMC<br />

4.47 0.68<br />

1.55<br />

2970.67 3.06<br />

6.95<br />

9080.34<br />

21716.35<br />

Weighted Average<br />

3126.15<br />

Byadigi (with stem) 4.40 0.07 7010.33 0.33 2308.74<br />

Guntur (stem less) 4.94 0.06 7624.44 0.28 2130.61<br />

Guntur (with stem) Traders <strong>in</strong> APMC 4.67 0.08 5584.58 0.37 2043.03<br />

Total 0.21 0.97 6482.37<br />

Weighted Average<br />

6651.24<br />

Mustard Big Traders <strong>in</strong> APMC 2.20 0.12 2408.33 0.26 619.74<br />

Tomato<br />

Tomato<br />

Farmer 10.00 1.43 435.00 14.25 6198.75<br />

Wholesale Market 12.50 0.66 585.83 8.25 4833.13<br />

Own prodn 10.00 1.50 375.00 15.00 5625.00<br />

Total 2.16 23.25 10458.13<br />

Weighted Average 449.81<br />

Onion Onion Wholesale Market 4.56 2.05 704.44 9.33 6574.81<br />

Banana Banana Wholesale Market 10.00 1.38 1694.44 13.83 23439.81<br />

Apple Shimla Apple Wholesale Market 9.17 0.60 5435.00 5.50 29892.50<br />

Note: Traders <strong>in</strong> APMC-Agricultural Produce Market Committee


4.4.3 Monthly costs <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong> commodities by <strong>supermarket</strong>s<br />

<strong>in</strong> different cities<br />

4.4.3.1 Bangalore<br />

The Average monthly costs <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong> selected commodities by<br />

<strong>supermarket</strong>s <strong>in</strong> Bangalore city are presented <strong>in</strong> Table 4.10. It was revealed from the table<br />

that among grocery items, rice accounts for highest total cost (Rs. 88,545.75) <strong>in</strong> procurement<br />

followed by green gram (Rs. 52,010.28), tur dal (Rs. 43,091.11), wheat (Rs. 18,135.11), chilli<br />

(Rs. 5,955.39) and mustard (Rs. 1,773.52) while the quantity was maximum <strong>in</strong> rice (49.67<br />

qu<strong>in</strong>tals) followed by tur dal (12.92 qu<strong>in</strong>tals), green gram (11.08 qu<strong>in</strong>tals), wheat (8.58<br />

qu<strong>in</strong>tals), chilli (0.77 qu<strong>in</strong>tals) and mustard (0.64 qu<strong>in</strong>tals). Other than the price <strong>of</strong> the product,<br />

transport costs are the prime costs <strong>in</strong> procurement however; the costs were Rs. 2,099.17, Rs.<br />

559.17, Rs. 547.92, Rs. 470.83, Rs. 128.33 and Rs. 106.20 <strong>in</strong> rice, green gram, tur dal,<br />

wheat, chilli and mustard respectively. The sales tax at the rate <strong>of</strong> four per cent seen only <strong>in</strong><br />

case <strong>of</strong> spices and it was found to be highest <strong>of</strong> Rs. 224.00 <strong>in</strong> chilli as the unit cost <strong>of</strong> the<br />

product itself was high. Further, the total cost per qu<strong>in</strong>tal (weighted average) was high <strong>in</strong> the<br />

order <strong>of</strong> chilli (Rs. 7,767.90), green gram (Rs. 4,692.66), tur dal (Rs. 3,336.09), mustard (Rs.<br />

2,785.63), wheat (Rs. 2,112.83) and rice (Rs. 1,782.80).<br />

In case <strong>of</strong> fruits and vegetables, tomato was procured <strong>in</strong> highest (29.25 qu<strong>in</strong>tals)<br />

quantity followed by onion and banana (12.50 qu<strong>in</strong>tals each) and apple (5 qu<strong>in</strong>tals). The total<br />

cost were high (Rs. 27,025) <strong>in</strong> apple followed by banana (Rs. 23,175), onion (Rs. 9,779.17)<br />

and tomato (Rs. 14,448.75). The transport costs <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong> fruits and<br />

vegetables were Rs. 2,625.00 <strong>in</strong> tomato, Rs. 675 each <strong>in</strong> banana and apple, and Rs. 275 <strong>in</strong><br />

onion. Yet, the costs per qu<strong>in</strong>tal were <strong>in</strong> the order <strong>of</strong> Rs. 5,405 <strong>in</strong> apple, Rs. 1,854 <strong>in</strong> banana,<br />

Rs. 782.33 <strong>in</strong> onion and Rs. 493.97 <strong>in</strong> tomato.<br />

4.4.3.2 Mysore<br />

Table 4.11 corresponds to the average monthly cost <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong><br />

commodities by <strong>supermarket</strong>s <strong>in</strong> Mysore city. Here the highest total cost was accounted by<br />

rice (Rs. 51,080.56) due to its higher quantity purchased and the m<strong>in</strong>imum was accounted by<br />

mustard (Rs. 646) as it was purchased <strong>in</strong> small quantity (0.23 qu<strong>in</strong>tals). The subsequent total<br />

costs <strong>of</strong> other groceries were, Rs. 29,669.44 <strong>in</strong> green gram, Rs. 18,174.44 <strong>in</strong> tur dal, Rs.<br />

8,309.67 <strong>in</strong> wheat and Rs. 4,949.52 <strong>in</strong> chilli. The proportion <strong>of</strong> transport cost was higher <strong>in</strong><br />

rice that is Rs. 1,282.67 followed by green gram (Rs. 273.33), tur dal (Rs.238.00), wheat (Rs.<br />

204.33), chilli (Rs. 99.67) and mustard (Rs. 39.33). The sales tax <strong>of</strong> Rs. 186.32 was observed<br />

<strong>in</strong> chilli.<br />

In case <strong>of</strong> fruits and vegetables, the maximum procurement was found <strong>in</strong> banana (20<br />

qu<strong>in</strong>tals) and less <strong>in</strong> apple (6 qu<strong>in</strong>tals) thus the total cost were also high (Rs. 34,000 and Rs.<br />

33,420) <strong>in</strong> respective commodities. The cost was Rs. 7,200 each <strong>in</strong> tomato and onion. The<br />

unit cost was as high as Rs. 5,570 per qu<strong>in</strong>tal <strong>in</strong> apple. However, the transport cost was more<br />

<strong>in</strong> banana (Rs. 1,000) and least (Rs. 300) <strong>in</strong> apple.<br />

4.4.3.3 Mangalore<br />

The Average monthly costs <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong> selected commodities by<br />

<strong>supermarket</strong>s <strong>in</strong> Mangalore city are depicted <strong>in</strong> Table 4.12. It was shown from the table that<br />

the maximum quantities <strong>of</strong> groceries were procured <strong>in</strong> rice (39.65 qu<strong>in</strong>tals) followed by tur dal<br />

(6.82 qu<strong>in</strong>tals), green gram (5.63 qu<strong>in</strong>tals), wheat (2.48 qu<strong>in</strong>tals) and chilli (0.69 qu<strong>in</strong>tals) and<br />

the maximum cost was <strong>in</strong>curred <strong>in</strong> rice (Rs. 65,539.00) followed by green gram (Rs.<br />

25,296.44), tur dal (Rs. 21,377.75) and wheat (Rs. 5,084.11) and chilli (Rs. 5,191.83).<br />

Mustard was procured <strong>in</strong> m<strong>in</strong>imum quantity. In addition, relatively high transport cost (Rs.<br />

1,352.67) was found <strong>in</strong> rice and low (Rs. 26.08) <strong>in</strong> mustard. The highest local sales tax <strong>of</strong> Rs.<br />

198.06 was accounted <strong>in</strong> chilli.<br />

In respect <strong>of</strong> fruits and vegetables, there was no sale <strong>of</strong> apple was noticed <strong>in</strong><br />

Mangalore <strong>supermarket</strong>s, however, more procurement and total costs were observed <strong>in</strong><br />

banana (9 qu<strong>in</strong>tals & Rs. 15,150) followed by onion (5.5 qu<strong>in</strong>tals & Rs. 4,207.50) and tomato<br />

(4.5 qu<strong>in</strong>tals & Rs. 3,022.50). The unit costs were also found <strong>in</strong> the same order.


Rice<br />

Wheat<br />

Green<br />

Gram<br />

Table 4.10: Average Monthly Costs Incurred <strong>in</strong> Procurment <strong>of</strong> Commodities by Supermarkets <strong>in</strong> Bangalore City<br />

Products<br />

Monthly<br />

Quantity<br />

Procured<br />

(Qtls)<br />

Price<br />

(Rs/Qtl)<br />

Total Price<br />

(Rs)<br />

Local<br />

Sales Tax<br />

@ 4% (Rs)<br />

Transport<br />

Cost (Rs)<br />

TC (Rs) TC/Qtl (Rs)<br />

SMR (Premium) 10.67 1863.33 19875.56 -- 447.50 20323.06 1905.29<br />

SMR (Regular) 10.33 1762.33 18210.78 -- 438.33 18649.11 1804.75<br />

SMR (Std) 11.42 1647.67 18810.86 -- 479.58 19290.44 1689.67<br />

PBRice 1.58 1662.00 2631.50 -- 67.50 2699.00 1704.63<br />

Idli Rice 4.67 1299.00 6062.00 -- 199.17 6261.17 1341.68<br />

RBR 1.92 1351.00 2589.42 -- 80.83 2670.25 1393.17<br />

Jeera Rice 2.00 2402.00 4804.00 -- 84.17 4888.17 2444.08<br />

Dosa rice 3.00 1256.67 3770.00 -- 128.33 3898.33 1299.44<br />

Basmati Rice 4.08 2373.67 9692.47 -- 173.75 9866.22 2416.22<br />

Total 49.67 86446.58 0.00 2099.17 88545.75<br />

Weighted average price 1782.80<br />

Punjab 5.75 1579.33 9081.17 -- 312.50 9393.67 1633.68<br />

Broken 2.83 3029.33 8583.11 -- 158.33 8741.44 3085.22<br />

Total 8.58 17664.28 0.00 470.83 18135.11<br />

Weighted average price 2112.83<br />

GM whole 7.42 4640.00 34413.33 -- 404.17 34817.50 4694.49<br />

GM split 3.67 4646.67 17037.78 -- 155.00 17192.78 4688.94<br />

Total 11.08 51451.11 0.00 559.17 52010.28<br />

Weighted average price 4692.66<br />

Contd……


Tur Dal<br />

Chilli<br />

Premium 8.92 3421.67 30509.86 -- 377.50 30887.36 3464.00<br />

Regular 4.00 3008.33 12033.33 -- 170.42 12203.75 3050.94<br />

Total 12.92 42543.19 0.00 547.92 43091.11<br />

Weighted average price 3336.09<br />

Byadigi (with stem) 0.67 7158.33 4772.22 191.13 111.00 5074.36 7611.53<br />

Guntur (stem less) 0.38 7833.33 3002.78 119.87 64.17 3186.81 8313.42<br />

Guntur (with stem) 0.38 6783.33 2600.28 104.13 64.17 2768.58 7222.38<br />

Total 0.77 5603.06 224.00 128.33 5955.39<br />

Weighted average price 7767.90<br />

Mustard Big 0.64 2518.33 1603.34 63.98 106.20 1773.52 2785.63<br />

Tomato<br />

Tomato<br />

14.25 435.00 6198.75 -- 1425.00 7623.75 535.00<br />

15.00 375.00 5625.00 -- 1200.00 6825.00 455.00<br />

Total 29.25 11823.75 0.00 2625.00 14448.75<br />

Weighted average price 493.97<br />

Onion Onion 12.50 728.33 9104.17 -- 675.00 9779.17 782.33<br />

Banana Banana 12.50 1800.00 22500.00 -- 675.00 23175.00 1854.00<br />

Apple Shimla Apple 5.00 5350.00 26750.00 -- 275.00 27025.00 5405.00<br />

Note: APMC-Agricultural Produce market Committee, SMR- Sona Masoori Rice, PBR- Para Boiled Rice, RBR- Red Boiled Rice, TC-Total Cost


Table 4.11: Average Monthly Costs Incurred <strong>in</strong> Procurment <strong>of</strong> Commodities by Supermarkets <strong>in</strong> Mysore City<br />

Rice<br />

Wheat<br />

Green<br />

Gram<br />

Tur Dal<br />

Products<br />

Monthly<br />

Quantity<br />

Procured<br />

(Qtls)<br />

Price<br />

(Rs/Qtl)<br />

Total Price<br />

(Rs)<br />

Local<br />

Sales Tax<br />

@ 4%<br />

(Rs)<br />

Transport<br />

Cost (Rs)<br />

TC (Rs) TC/Qtl (Rs)<br />

SMR (Premium) 5.00 1785.00 8925.00 -- 213.33 9138.33 1827.67<br />

SMR (Regular) 5.67 1733.33 9822.22 -- 243.33 10065.56 1776.27<br />

SMR (Std) 8.67 1621.67 14054.44 -- 370.00 14424.44 1664.36<br />

PBRice 1.00 1608.33 1608.33 -- 41.67 1650.00 1650.00<br />

Idli Rice 2.87 1256.67 3602.44 -- 123.00 3725.44 1299.57<br />

RBR 1.00 1316.67 1316.67 -- 42.00 1358.67 1358.67<br />

Jeera Rice 1.00 2350.00 2350.00 -- 45.00 2395.00 2395.00<br />

Dosa rice 2.73 1248.33 3412.11 -- 117.67 3529.78 1291.38<br />

Basmati Rice 2.00 2353.33 4706.67 -- 86.67 4793.33 2396.67<br />

Total 29.93 49797.89 0.00 1282.67 51080.56<br />

Weighted average price 1706.48<br />

Punjab 3.00 1553.33 4660.00 -- 148.33 4808.33 1602.78<br />

Broken 1.13 3040.00 3445.33 -- 56.00 3501.33 3089.41<br />

Total 4.13 8105.33 0.00 204.33 8309.67<br />

Weighted average price 2010.40<br />

GM whole 3.33 4623.33 15411.11 -- 146.67 15557.78 4667.33<br />

GM split 3.00 4661.67 13985.00 -- 126.67 14111.67 4703.89<br />

Total 6.33 29396.11 0.00 273.33 29669.44<br />

Weighted average price 4684.65<br />

Premium 3.20 3393.33 10858.67 -- 138.00 10996.67 3436.46<br />

Regular 2.33 3033.33 7077.78 -- 100.00 7177.78 3076.19<br />

Total 5.53 17936.44 0.00 238.00 18174.44<br />

Weighted average price 3284.54<br />

Contd…..


Chilli<br />

Byadigi (with stem) 0.27 7220.00 1925.33 76.96 41.67 2043.96 7664.85<br />

Guntur (stem less) 0.20 7815.00 1563.00 62.52 31.00 1656.52 8282.60<br />

Guntur (with stem) 0.17 6780.00 1175.20 46.84 27.00 1249.04 7205.98<br />

Total 0.64 4663.53 186.32 99.67 4949.52<br />

Weighted average price 7733.62<br />

Mustard Big 0.23 2500.00 583.33 23.33 39.33 646.00 2768.57<br />

Tomato Tomato 12.00 550.00 6600.00 -- 600.00 7200.00 600.00<br />

Onion Onion 10.00 670.00 6700.00 -- 500.00 7200.00 720.00<br />

Banana Banana 20.00 1650.00 33000.00 -- 1000.00 34000.00 1700.00<br />

Apple Shimla Apple 6.00 5520.00 33120.00 -- 300.00 33420.00 5570.00<br />

Note: APMC-Agricultural Produce market Committee, SMR- Sona Masoori Rice, PBR- Para Boiled Rice, RBR- Red Boiled Rice, TC-Total Cost


Table 4.12: Average Monthly Costs Incurred <strong>in</strong> Procurement <strong>of</strong> Commodities by Supermarkets <strong>in</strong> Mangalore City<br />

Rice<br />

Wheat<br />

Green<br />

Gram<br />

Tur Dal<br />

Products<br />

Monthly<br />

Quantity<br />

Procured<br />

(Qtls)<br />

Price<br />

(Rs/Qtl)<br />

Total Price<br />

(Rs)<br />

Local Sales<br />

Tax @ 4%<br />

(Rs)<br />

Transport<br />

Cost (Rs)<br />

TC (Rs) TC/Qtl (Rs)<br />

SMR (Premium) 5.83 1813.33 10577.78 -- 202.50 10780.28 1848.05<br />

SMR (Regular) 7.73 1726.67 13352.89 -- 261.83 13614.72 1760.52<br />

SMR (Std) 9.08 1625.00 14760.42 -- 307.50 15067.92 1658.85<br />

PBRice 3.75 1558.33 5843.75 -- 126.50 5970.25 1592.07<br />

Idli Rice 2.87 1200.00 3440.00 -- 98.50 3538.50 1234.36<br />

RBR 3.95 1250.00 4937.50 -- 134.50 5072.00 1284.05<br />

Dosa rice 3.33 1175.00 3916.67 -- 114.17 4030.83 1209.25<br />

Basmati Rice 3.10 2373.33 7357.33 -- 107.17 7464.50 2407.90<br />

Total 39.65 64186.33 0.00 1352.67 65539.00<br />

Weighted average price 1652.94<br />

Punjab 1.62 1530.00 2473.50 -- 56.33 2529.83 1564.85<br />

Broken 0.87 2911.67 2523.44 -- 30.83 2554.28 2947.24<br />

Total 2.48 4996.94 0.00 87.17 5084.11<br />

Weighted average price 2047.29<br />

GM whole 2.80 4366.67 12226.67 -- 112.00 12338.67 4406.67<br />

GM split 2.83 4533.33 12844.44 -- 113.33 12957.78 4573.33<br />

Total 5.63 25071.11 0.00 225.33 25296.44<br />

Weighted average price 4490.49<br />

Premium 2.87 3240.00 9288.00 -- 114.67 9402.67 3280.00<br />

Regular 3.95 2991.67 11817.08 -- 158.00 11975.08 3031.67<br />

Total 6.82 21105.08 0.00 272.67 21377.75<br />

Weighted average price 3136.10<br />

Contd…..


Chilli<br />

Byadigi (with stem) 0.26 7090.00 1867.03 74.35 46.15 1987.53 7547.60<br />

Guntur (stem less) 0.26 7225.00 1842.38 77.32 45.38 1965.07 7706.14<br />

Guntur (with stem) 0.18 6641.67 1162.29 46.39 30.54 1239.23 7081.30<br />

Total 0.69 4871.70 198.06 122.07 5191.83<br />

Weighted average price 7488.21<br />

Mustard Mustard 0.15 2406.67 361 14.33 26.08 401.42 2676.11<br />

Tomato Tomato 4.50 621.67 2797.50 -- 225.00 3022.50 671.67<br />

Onion Onion 5.50 715.00 3932.50 -- 275.00 4207.50 765.00<br />

Banana Banana 9.00 1633.33 14700.00 -- 450.00 15150.00 1683.33<br />

Note: APMC-Agricultural Produce market Committee, SMR- Sona Masoori Rice, PBR- Para Boiled Rice, RBR- Red Boiled Rice, TC-Total Cost


4.4.3.4 Belgaum<br />

The average monthly charges <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong> commodities by<br />

<strong>supermarket</strong>s <strong>in</strong> Belgaum city are shown <strong>in</strong> Table 4.13. The table reveals that rice (13.95<br />

qu<strong>in</strong>tals) was the major commodity procured by the <strong>supermarket</strong>s followed by tur dal (4.25<br />

qu<strong>in</strong>tals), wheat (3.83 qu<strong>in</strong>tals), green gram (2.98 qu<strong>in</strong>tals), chilli (0.19 qu<strong>in</strong>tals) and mustard<br />

(0.09 qu<strong>in</strong>tals). While the total costs were Rs. 22,415.28, Rs. 12,712.22, Rs. 12,706.67, Rs.<br />

7,095.97, Rs. 1,370 and Rs. 216.48 <strong>in</strong> case <strong>of</strong> rice, green gram, tur dal, wheat, chilli and<br />

mustard, respectively. The total transport costs were found to be highest <strong>in</strong> rice (Rs. 452.50)<br />

followed by tur dal (Rs. 144.17) and wheat (Rs. 121.67). The unit cost was highest <strong>in</strong> chilli<br />

that is Rs. 7,212.81/qu<strong>in</strong>tal and lowest <strong>in</strong> rice (Rs. 1,606.83/qu<strong>in</strong>tal). The local sales tax <strong>in</strong><br />

spices was more (Rs. 51.70) <strong>in</strong> chilli as compared to mustard. No sale <strong>of</strong> fruits and<br />

vegetables were noticed <strong>in</strong> Belgaum city <strong>supermarket</strong>s.<br />

4.4.3.5 Hubli-Dharwad<br />

Table 4.14 presents the average monthly costs <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong><br />

commodities by <strong>supermarket</strong>s <strong>in</strong> Hubli-Dharwad city. It could be seen from the table that rice<br />

followed by green gram, wheat, tur dal, chilli and mustard were procured <strong>in</strong> their higher order<br />

<strong>of</strong> 29.77 qu<strong>in</strong>tals, 5.75 qu<strong>in</strong>tals, 5.50 qu<strong>in</strong>tals, 5.22 qu<strong>in</strong>tals, 0.26 qu<strong>in</strong>tals and 0.18 qu<strong>in</strong>tals,<br />

respectively. Per qu<strong>in</strong>tal cost was Rs. 7,216.64 for chilli, Rs. 4,179.37 for green gram, Rs.<br />

3,077.50 for tur dal, Rs. 2,604.41 for mustard, Rs. 1,863.48 for wheat and Rs. 1700.23 for<br />

rice. As it was observed <strong>in</strong> the earlier cities that the sales tax was applied only for spices and<br />

chilli was the maximum contributor (Rs. 71.36) for it. Here also no sale <strong>of</strong> fruits and<br />

vegetables was found <strong>in</strong> <strong>supermarket</strong>s.<br />

4.4.4 Average Monthly costs Incurred <strong>in</strong> Procurement <strong>of</strong> Commodities by<br />

Supermarkets <strong>in</strong> Karnataka<br />

The overall average monthly costs <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong> commodities by<br />

<strong>supermarket</strong>s <strong>in</strong> different cities (Karnataka) is given <strong>in</strong> Table 4.15. It was observed from the<br />

table that rice (34.65 qu<strong>in</strong>tals) followed by tur dal (6.95 qu<strong>in</strong>tals), green gram (6.36 qu<strong>in</strong>tals),<br />

wheat (4.91 qu<strong>in</strong>tals), chilli (0.65 qu<strong>in</strong>tals) and mustard (0.26 qu<strong>in</strong>tals) were the major<br />

groceries procured by the <strong>supermarket</strong>s. In proportion to the quantity, the total costs were<br />

found to be <strong>in</strong> the descend<strong>in</strong>g order <strong>of</strong> Rs. 59,056.06, Rs. 28,338.71, Rs. 21,995.17, Rs.<br />

9,707.32, Rs. 4413.41 and Rs. 687.56 for rice, green gram, tur dal, wheat, chilli and mustard.<br />

The costs per qu<strong>in</strong>tal was Rs. 6,839.55 for chilli, Rs. 4,458.11for green gram, Rs. 3,166.29 for<br />

tur dal, Rs. 2,671.88 for mustard, Rs. 1,978.39 for wheat and Rs. 1704.20 for rice. However,<br />

the sales tax was found <strong>in</strong> spices and it was Rs. 87.42 <strong>in</strong> chilli followed by mustard that is Rs.<br />

25.28. Similarly, <strong>in</strong> case <strong>of</strong> fruits and vegetables, the purchase was highest <strong>in</strong> case <strong>of</strong> tomato<br />

(23.25 qu<strong>in</strong>tals) followed by banana (13.83 qu<strong>in</strong>tals), onion (9.33 qu<strong>in</strong>tals) and apple (5.50<br />

qu<strong>in</strong>tals). The total costs <strong>in</strong>curred were Rs. 24,148.15, Rs. 7,058.15 and Rs. 12,070.33 for<br />

apple, banana, onion and tomato. The transport cost seems to be more <strong>in</strong> tomato (Rs.<br />

1,612.50) and less <strong>in</strong> apple (Rs. 287.50) based on their quantity purchased.<br />

The Commodity-wise monthly costs <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong> commodities by<br />

<strong>supermarket</strong>s <strong>in</strong> selected cities across Karnataka are illustrated <strong>in</strong> Table 4.16. On an average<br />

among groceries, rice was the major commodity procured <strong>in</strong> highest quantity (159.97 qu<strong>in</strong>tals)<br />

followed by tur dal (34.73 qu<strong>in</strong>tals), green gram (31.78 qu<strong>in</strong>tals), wheat (24.53 qu<strong>in</strong>tals), chilli<br />

(2.55 qu<strong>in</strong>tals) and mustard (1.29 qu<strong>in</strong>tals) but the total costs were high <strong>in</strong> rice (Rs.<br />

2,73,090.19) followed by green gram (Rs. 1,43,719.78), tur dal (Rs. 1,11,404.25), wheat<br />

(22,336.59), chilli (Rs. 19,343.49) and mustard (Rs. 3,506.21). It was note worthy to mention<br />

that <strong>in</strong> all the commodities, quantity procured and their unit costs were found to be high <strong>in</strong><br />

Bangalore alone where<strong>in</strong> the procurement <strong>of</strong> rice was 49.67 qu<strong>in</strong>tals (Rs. 1,707.17/qu<strong>in</strong>tal),<br />

tur dal was 12.92 qu<strong>in</strong>tals (Rs. 3,207.42/qu<strong>in</strong>tal), green gram was 11.08 qu<strong>in</strong>tals (Rs.<br />

4,521.86/qu<strong>in</strong>tal), wheat was 24.53 qu<strong>in</strong>tals (Rs. 1,992.15/qu<strong>in</strong>tal), mustard was 0.64 qu<strong>in</strong>tals<br />

(Rs. 2725.04/qu<strong>in</strong>tal) and chilli was 0.77 qu<strong>in</strong>tals (Rs. 7,585.68/qu<strong>in</strong>tal). Next to Bangalore,<br />

the quantity procurement and their costs varied from city to city; as it was revealed from the<br />

table the quantity procured <strong>in</strong> rice was more (5.63 qu<strong>in</strong>tals) <strong>in</strong> Mangalore but least <strong>in</strong> wheat<br />

(2.48 qu<strong>in</strong>tals). In most <strong>of</strong> the commodities such as rice, green gram, tur dal, chilli and<br />

mustard the procurement was less that is 13.95 qu<strong>in</strong>tals, 2.98 qu<strong>in</strong>tals, 4.25 qu<strong>in</strong>tals, 0.19<br />

qu<strong>in</strong>tals and 0.09 qu<strong>in</strong>tals, respectively <strong>in</strong> Belgaum. The local sales tax <strong>of</strong> four per cent on


Table 4.13: Average Monthly Costs Incurred <strong>in</strong> Procurment <strong>of</strong> Commodities by Supermarkets <strong>in</strong> Belgaum City<br />

Rice<br />

Wheat<br />

Green Gram<br />

Products<br />

Monthly<br />

Quantity<br />

Procured<br />

(Qtls)<br />

Price<br />

(Rs/Qtl)<br />

Total Price<br />

(Rs)<br />

Local Sales<br />

Tax @ 4%<br />

(Rs)<br />

Transport<br />

Cost (Rs)<br />

TC (Rs) TC/Qtl (Rs)<br />

SMR (Premium) 3.00 1700.00 5100.00 -- 95.00 5195.00 1731.67<br />

SMR (Regular) 3.33 1658.33 5527.78 -- 110.00 5637.78 1691.33<br />

SMR (Std) 3.97 1500.00 5950.00 -- 125.67 6075.67 1531.68<br />

Idli Rice 1.50 1200.00 1800.00 -- 48.33 1848.33 1232.22<br />

Dosa rice 1.15 1150.00 1322.50 -- 38.50 1361.00 1183.48<br />

Basmati Rice 1.00 2262.50 2262.50 -- 35.00 2297.50 2297.50<br />

Total 13.95 21962.78 0.00 452.50 22415.28<br />

Weighted average price 1606.83<br />

Punjab 2.58 1441.67 3724.31 -- 84.17 3808.47 1474.25<br />

Broken 1.25 2600.00 3250.00 -- 37.50 3287.50 2630.00<br />

Total 3.83 6974.31 0.00 121.67 7095.97<br />

Weighted average price 1851.12<br />

GM whole 1.90 4233.33 8043.33 -- 63.67 8107.00 4266.84<br />

GM split 1.08 4216.67 4568.06 -- 37.17 4605.22 4250.97<br />

Total 2.98 12611.39 0.00 100.83 12712.22<br />

Weighted average price 4261.08<br />

Contd……


Tur Dal<br />

Chilli<br />

Mustard<br />

Premium 2.25 3050.00 6862.50 -- 77.50 6940.00 3084.44<br />

Regular 2.00 2850.00 5700.00 -- 66.67 5766.67 2883.33<br />

Total 4.25 12562.50 0.00 144.17 12706.67<br />

Weighted average price 2989.80<br />

Byadigi (with stem) 0.19 6800.00 1292.00 51.70 26.73 1370.43 7212.81<br />

Big 0.09 2266.67 196.44 7.87 12.17 216.48 2497.90<br />

Note: APMC-Agricultural Produce market Committee, SMR- Sona Masoori Rice, PBR- Para Boiled Rice, RBR- Red Boiled Rice, TC-Total Cost


Table 4.14: Average Monthly Costs Incurred <strong>in</strong> procurement <strong>of</strong> Commodities by Supermarkets <strong>in</strong> Hubli-Dharwad City<br />

Rice<br />

Wheat<br />

Products<br />

Monthly<br />

Quantity<br />

Procured<br />

(Qtls)<br />

Price<br />

(Rs/Qtl)<br />

Total Price<br />

(Rs)<br />

Local<br />

Sales Tax<br />

@ 4%<br />

(Rs)<br />

Transport<br />

Cost (Rs)<br />

TC (Rs) TC/Qtl (Rs)<br />

SMR (Premium) 7.67 1795.00 13761.67 -- 283.33 14045.00 1831.96<br />

SMR (Regular) 5.33 1701.67 9075.56 -- 196.67 9272.22 1738.54<br />

SMR (Std) 7.00 1606.67 11246.67 -- 260.00 11506.67 1643.81<br />

Idli Rice 2.58 1266.67 3272.22 -- 96.67 3368.89 1304.09<br />

Dosa rice 2.32 1183.33 2741.39 -- 87.33 2828.72 1221.03<br />

Basmati Rice 1.87 2366.67 4417.78 -- 70.33 4488.11 2404.35<br />

Total 26.77 44515.28 0.00 994.33 45509.61<br />

Weighted average price 1700.23<br />

Punjab 4.00 1476.67 5906.67 -- 150.00 6056.67 1514.17<br />

Broken 1.50 2758.33 4137.50 -- 55.00 4192.50 2795.00<br />

Total 5.50 10044.17 0.00 205.00 10249.17<br />

Weighted average price 1863.48<br />

Contd…..


Green<br />

Gram<br />

Tur Dal<br />

GM whole 2.92 4050.00 11812.50 -- 108.33 11920.83 4087.14<br />

GM split 2.83 4236.67 12003.89 -- 106.67 12110.56 4274.31<br />

Total 5.75 23816.39 0.00 215.00 24031.39<br />

Weighted average price 4179.37<br />

Premium 2.22 3136.67 6952.94 -- 81.33 7034.28 3173.36<br />

Regular 3.00 2970.00 8910.00 -- 110.00 9020.00 3006.67<br />

Total 5.22 15862.94 0.00 191.33 16054.28<br />

Weighted average price 3077.50<br />

Chilli Byadigi (with stem) 0.26 6783.33 1763.67 71.36 41.30 1876.33 7216.64<br />

Mustard Big 0.18 2350.00 423.00 16.89 28.90 468.79 2604.41<br />

Note: APMC-Agricultural Produce market Committee, SMR- Sona Masoori Rice, PBR- Para Boiled Rice, RBR- Red Boiled Rice, TC-Total Cost


Table 4.15: Overall Average Monthly Costs Incurred <strong>in</strong> Procurment <strong>of</strong> Commodities by Supermarkets<br />

Rice<br />

Wheat<br />

Green<br />

Gram<br />

Products<br />

Monthly<br />

Quantity<br />

Procured<br />

(Qtls)<br />

Price<br />

(Rs/Qtl)<br />

Total Price<br />

(Rs)<br />

Local<br />

Sales Tax<br />

@ 4%<br />

(Rs)<br />

Transport<br />

Cost (Rs)<br />

TC (Rs) TC/Qtl (Rs)<br />

SMR (Premium) 6.43 1791.33 11524.24 -- 248.33 11772.58 1829.93<br />

SMR (Regular) 6.48 1716.47 11122.70 -- 250.03 11372.74 1755.05<br />

SMR (Std) 8.03 1600.20 12844.27 -- 308.55 13152.82 1638.64<br />

PBRice 2.11 1609.56 3397.95 -- 78.56 3476.51 1646.77<br />

Idli Rice 2.90 1244.47 3604.81 -- 113.13 3717.94 1283.52<br />

RBR 2.29 1305.89 2989.03 -- 85.78 3074.81 1343.36<br />

Jeera Rice 1.50 2376.00 3564.00 -- 64.58 3628.58 2419.06<br />

Dosa rice 2.51 1202.67 3014.68 -- 97.20 3111.88 1241.44<br />

Basmati Rice 2.41 2345.90 5653.62 -- 94.58 5748.20 2385.15<br />

Total 34.65 57715.31 0.00 1340.75 59056.06<br />

Weighted average price 1704.20<br />

Punjab 3.39 1516.20 5139.92 -- 150.27 5290.18 1560.53<br />

Broken 1.52 2867.87 4349.60 -- 67.53 4417.13 2912.39<br />

Total 4.91 9489.52 0.00 217.80 9707.32<br />

Weighted average price 1978.39<br />

GM whole 3.67 4382.67 16099.00 -- 166.97 16265.96 4428.12<br />

GM split 2.68 4459.00 11964.98 -- 107.77 12072.75 4499.16<br />

Total 6.36 28063.98 0.00 274.73 28338.71<br />

Weighted average price 4458.11<br />

Contd….


Tur Dal<br />

Chilli<br />

Premium 3.89 3248.33 12636.02 -- 157.80 12793.82 3288.90<br />

Regular 3.06 2970.67 9080.34 -- 121.02 9201.35 3010.26<br />

Total 6.95 21716.35 0.00 278.82 21995.17<br />

Weighted average price 3166.29<br />

Byadigi (with stem) 0.33 7010.33 2308.74 93.10 53.37 2455.21 7455.08<br />

Guntur (stem less) 0.28 7624.44 2130.61 86.57 46.85 2264.02 8101.87<br />

Guntur (with stem) 0.37 5584.58 2043.03 65.79 40.57 2149.38 5875.31<br />

Total 0.65 4173.64 152.36 87.42 4413.41<br />

Weighted average price 6839.55<br />

Mustard Big 0.26 2408.33 619.74 25.28 42.54 687.56 2671.88<br />

Tomato<br />

Tomato<br />

14.25 435.00 6198.75 -- 1425.00 7623.75 535.00<br />

8.25 585.83 4833.13 -- 412.50 5245.63 635.83<br />

15.00 375.00 5625.00 -- 1200.00 6825.00 455.00<br />

Total 23.25 10458.13 0.00 1612.50 12070.63<br />

Weighted average price 519.17<br />

Onion Onion 9.33 704.44 6574.81 -- 483.33 7058.15 756.23<br />

Banana Banana 13.83 1694.44 23439.81 -- 708.33 24148.15 1745.65<br />

Apple Shimla Apple 5.50 5435.00 29892.50 -- 287.50 30180.00 5487.27<br />

Note: APMC-Agricultural Produce market Committee, SMR- Sona Masoori Rice, PBR- Para Boiled Rice, RBR- Red Boiled Rice, TC-Total Cost


Table 4.16: Commodity-wise Monthly Costs Incurred <strong>in</strong> Procurment <strong>of</strong> Commodities by Supermarkets <strong>in</strong> Karnataka<br />

Products Cities Agency<br />

Rice<br />

Wheat<br />

Green<br />

Gram<br />

Quantity<br />

Procured<br />

(Qtls)<br />

Price<br />

(Rs/Qtl)<br />

Total Price<br />

(Rs)<br />

Local<br />

Sales<br />

Tax @<br />

4% (Rs)<br />

Transport<br />

Cost (Rs)<br />

TC (Rs)<br />

Bangalore 49.67 1740.54 86446.58 -- 2099.17 88545.75 1740.54<br />

Mysore<br />

Mangalore<br />

Belgaum<br />

Traders<br />

<strong>in</strong><br />

APMC<br />

29.93<br />

39.65<br />

13.95<br />

6654.51<br />

1618.82<br />

1574.39<br />

49797.89<br />

64186.33<br />

21962.78<br />

--<br />

-<br />

--<br />

1282.67<br />

1352.67<br />

452.50<br />

51080.56<br />

65539.00<br />

22415.28<br />

1663.63<br />

1618.82<br />

1574.39<br />

Hubli-Dharwad 26.77 1663.09 44515.28 -- 994.33 45509.61 1663.09<br />

Total<br />

159.97 266908.86 0.00 6181.33 273090.19<br />

Weighted average price 1707.17<br />

Bangalore 8.58 2057.97 17664.28 -- 470.83 18135.11 2057.97<br />

Mysore<br />

Mangalore<br />

Belgaum<br />

Traders<br />

<strong>in</strong><br />

APMC<br />

4.13<br />

2.48<br />

3.83<br />

1960.97<br />

2012.19<br />

1819.38<br />

8105.33<br />

4996.94<br />

6974.31<br />

--<br />

-<br />

--<br />

204.33<br />

87.17<br />

121.67<br />

8309.67<br />

5084.11<br />

7095.97<br />

1960.97<br />

2012.19<br />

1819.38<br />

Hubli-Dharwad 5.50 1826.21 10044.17 -- 205.00 10249.17 1826.21<br />

Total<br />

24.53 47785.03 0.00 1089.00 48874.03<br />

Weighted average price 1992.15<br />

Bangalore 11.08 4642.21 51451.11 -- 559.17 52010.28 4642.21<br />

Mysore<br />

Mangalore<br />

Belgaum<br />

Traders<br />

<strong>in</strong><br />

APMC<br />

6.33<br />

5.63<br />

2.98<br />

4641.49<br />

4450.49<br />

4227.28<br />

29396.11<br />

25071.11<br />

12611.39<br />

--<br />

-<br />

--<br />

273.33<br />

225.33<br />

100.83<br />

29669.44<br />

25296.44<br />

12712.22<br />

4641.49<br />

4450.49<br />

4227.28<br />

Hubli-Dharwad 5.75 4141.98 23816.39 -- 215.00 24031.39 4141.98<br />

Total<br />

31.78 142346.11 0.00 1373.67 143719.78<br />

Weighted average price 4521.86<br />

TC/Qtl<br />

(Rs)<br />

Contd…...


Tur Dal<br />

Chilli<br />

Mustard<br />

Bangalore 12.92 3293.67 42543.19 -- 547.92 43091.11 3293.67<br />

Mysore 5.53 3241.53 17936.44 -- 238.00 18174.44 3241.53<br />

Mangalore Traders <strong>in</strong> 6.82 3096.10 21105.08 - 272.67 21377.75 3096.10<br />

Belgaum APMC 4.25 2955.88 12562.50 -- 144.17 12706.67 2955.88<br />

Hubli-Dharwad 5.22 3040.82 15862.94 -- 191.33 16054.28 3040.82<br />

Total<br />

34.73 110010.17 0.00 1394.08 111404.25<br />

Weighted average price 3207.42<br />

Bangalore 0.77 7238.57 5603.06 224.00 128.33 5955.39 7238.57<br />

Mysore 0.64 7286.77 4663.53 186.32 99.67 4949.52 7286.77<br />

Mangalore Traders <strong>in</strong> 0.69 7026.49 4871.70 198.06 122.07 5191.83 7026.49<br />

Belgaum APMC 0.19 6800.00 1292.00 51.70 26.73 1370.43 7212.81<br />

Hubli-Dharwad 0.26 6783.33 1763.67 71.36 41.30 1876.33 7216.64<br />

Total<br />

2.55 18193.96 731.44 418.10 19343.49<br />

Weighted average price 7585.68<br />

Bangalore 0.64 2518.33 1603.34 63.98 106.20 1773.52 2785.63<br />

Mysore 0.23 2500.00 583.33 23.33 39.33 646.00 2768.57<br />

Mangalore Traders <strong>in</strong> 0.15 2406.67 361.00 14.33 26.08 401.42 2676.11<br />

Belgaum APMC 0.09 2266.67 196.44 7.87 12.17 216.48 2497.90<br />

Hubli-Dharwad 0.18 2350.00 423.00 16.89 28.90 468.79 2604.41<br />

Total<br />

1.29 3167.12 126.40 212.69 3506.21<br />

Weighted average price 2725.04<br />

Contd…..


Tomato<br />

Onion<br />

Banana<br />

Apple<br />

Bangalore 29.25 404.23 11823.75 -- 2625.00 14448.75 404.23<br />

Mysore<br />

Mangalore<br />

Wholesale Market/<br />

Own<br />

Production/Farmers<br />

12.00<br />

4.50<br />

550.00<br />

621.67<br />

6600.00<br />

2797.50<br />

--<br />

--<br />

600.00<br />

225.00<br />

7200.00<br />

3022.50<br />

600.00<br />

671.67<br />

Total<br />

45.75 21221.25 0.00 3450.00 24671.25<br />

Weighted average price 539.26<br />

Bangalore 12.50 728.33 9104.17 -- 675.00 9779.17 782.33<br />

Mysore 10.00 670.00 6700.00 -- 500.00 7200.00 720.00<br />

Wholesale Market<br />

Mangalore 5.50 715.00 3932.50 -- 275.00 4207.50 765.00<br />

Total<br />

28.00 19736.67 0.00 1450.00 21186.67<br />

Weighted average price 756.67<br />

Bangalore 12.50 1800.00 22500.00 -- 675.00 23175.00 1854.00<br />

Mysore 20.00 1650.00 33000.00 -- 1000.00 34000.00 1700.00<br />

Wholesale Market<br />

Mangalore 9.00 1633.33 14700.00 -- 450.00 15150.00 1683.33<br />

Total<br />

41.50 70200.00 0.00 2125.00 72325.00<br />

Weighted average price 1742.77<br />

Bangalore 5.00 5350.00 26750.00 -- 275.00 27025.00 5405.00<br />

Mysore Wholesale Market 6.00 5520.00 33120.00 -- 300.00 33420.00 5570.00<br />

Total<br />

11.00 59870.00 0.00 575.00 60445.00<br />

Weighted average price 5495.00<br />

Note: CA- Commission Agent, TC-Total Cost


spices found <strong>in</strong> all the cities and the average was highest <strong>in</strong> chilli (Rs. 731.44) followed by<br />

mustard (Rs. 126.40). The transport costs varied <strong>in</strong> accordance with the quantity purchased <strong>in</strong><br />

all the cities and <strong>in</strong> all the commodities. However, the highest transport cost was noticed <strong>in</strong><br />

rice (Rs. 6,181.33) and the least was <strong>in</strong> mustard (Rs. 212.69).<br />

In respect <strong>of</strong> fruits and vegetables, the maximum quantity <strong>of</strong> commodity procured was<br />

tomato (45.75 qu<strong>in</strong>tals) followed by banana (41.50 qu<strong>in</strong>tals), onion (28.00 qu<strong>in</strong>tals) and apple<br />

(11.00 qu<strong>in</strong>tals) whereas the cost per qu<strong>in</strong>tal and total costs <strong>in</strong>curred were more <strong>in</strong> banana<br />

(Rs. 1,742.77/qu<strong>in</strong>tal and Rs. 72,325.00 total cost) followed by apple (Rs. 5,495.00/qu<strong>in</strong>tal<br />

and Rs. 60,445.00 total cost), onion (Rs. 756.67/qu<strong>in</strong>tal and Rs. 21,186.67 total cost) and<br />

tomato (Rs. 539.26/qu<strong>in</strong>tal and Rs. 24,671.25 total cost). The table also <strong>in</strong>dicated that the<br />

fruits and vegetables procured from various sources such as commission agents or own<br />

production or from farmers directly <strong>in</strong> the study area. The transport costs were high <strong>in</strong> tomato<br />

(Rs. 2,467.25) and banana (Rs. 2,125.00) as the quantity procured was high <strong>in</strong> these<br />

commodities.<br />

Table 4.17 presents the city-wise average monthly charges <strong>in</strong>curred <strong>in</strong> procurement<br />

<strong>of</strong> commodities by <strong>supermarket</strong>s. The monthly total quantity procured was highest <strong>in</strong><br />

Bangalore (142.90 qu<strong>in</strong>tals) followed by Mysore (94.81 qu<strong>in</strong>tals), Mangalore (74.63 qu<strong>in</strong>tals),<br />

Hubli-Dharwad (43.67 qu<strong>in</strong>tals) and Belgaum (25.29 qu<strong>in</strong>tals) and <strong>in</strong> the same descend<strong>in</strong>g<br />

order, the total costs were Rs. 2,83,939.07, Rs. 1,94,649.63, Rs. 1,45,270.55, Rs. 56,517.06<br />

and Rs. 98,189.56 <strong>in</strong> respective cities. Similarly, the transport costs were Rs. 8,162.62, Rs.<br />

4,537.33, Rs. 3,530.98, Rs. 858.07 and Rs. 1,675.87 <strong>in</strong> Bangalore, Mysore, Mangalore,<br />

Belgaum and Hubli-Dharwad. However, depend<strong>in</strong>g on the quantity procured total costs <strong>in</strong><br />

different commodities varied across cities.<br />

4.5 INVENTORY MANAGEMENT AND ITS COSTS IN<br />

SUPERMARKETS<br />

Inventory refers to stocks <strong>of</strong> anyth<strong>in</strong>g necessary to do bus<strong>in</strong>ess. These stocks<br />

represent a large portion <strong>of</strong> the bus<strong>in</strong>ess <strong>in</strong>vestment and must be well managed <strong>in</strong> order to<br />

maximize pr<strong>of</strong>its. Raw materials <strong>in</strong>ventory, Work <strong>in</strong> process <strong>in</strong>ventory, f<strong>in</strong>ished products<br />

<strong>in</strong>ventory and work <strong>in</strong> sales <strong>in</strong>ventory represents the various forms <strong>of</strong> <strong>in</strong>ventories. Each type<br />

represents money tied up until the <strong>in</strong>ventory leaves the company as purchased products.<br />

Likewise, merchandise stocks <strong>in</strong> a retail store contribute to pr<strong>of</strong>its only when their sale puts<br />

money <strong>in</strong>to the cash register. In fact, many small bus<strong>in</strong>esses like <strong>supermarket</strong>s cannot absorb<br />

the types <strong>of</strong> losses aris<strong>in</strong>g from poor <strong>in</strong>ventory management. Unless <strong>in</strong>ventories are<br />

controlled, they are unreliable, <strong>in</strong>efficient and costly. Inventory Management and Inventory<br />

Control must be designed to meet the dictates <strong>of</strong> the marketplace and support the company's<br />

strategic plan.<br />

In addition to <strong>in</strong>terest on work<strong>in</strong>g capital, shr<strong>in</strong>kage, labour charges and pack<strong>in</strong>g<br />

material, cold storage charges were also added to the <strong>in</strong>ventory cost components <strong>of</strong> fruits and<br />

vegetables.<br />

4.5.1 Cost <strong>of</strong> Inventories and Preparation <strong>of</strong> Products for Sale <strong>in</strong><br />

Supermarkets <strong>of</strong> Different Cities<br />

4.5.1.1 Bangalore<br />

The costs <strong>of</strong> <strong>in</strong>ventory and prepar<strong>in</strong>g the products for sale <strong>in</strong> Bangalore city is<br />

presented <strong>in</strong> Table 4.18. It is seen from the table that different short time period <strong>in</strong>ventories<br />

were ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> different commodities. In groceries, the period was 4.67 days <strong>in</strong> rice,<br />

wheat, green gram and tur dal, 4.33 days <strong>in</strong> chilli and 11.24 days <strong>in</strong> mustard whereas <strong>in</strong> case<br />

<strong>of</strong> fruits and vegetables, 4.67 days <strong>in</strong> onion, 3.60 days <strong>in</strong> apple and 3 days <strong>in</strong> very perishable<br />

like tomato and banana.<br />

The quantum <strong>of</strong> <strong>in</strong>ventories was found to be the highest <strong>in</strong> rice (10.64 qu<strong>in</strong>tals)<br />

followed by tur dal (2.77 qu<strong>in</strong>tals), green gram (2.38 qu<strong>in</strong>tals), wheat (1.84 qu<strong>in</strong>tals), chilli<br />

(0.33 qu<strong>in</strong>tals) and mustard (0.24 qu<strong>in</strong>tals) <strong>in</strong> groceries, the respective <strong>in</strong>ventories valued at<br />

Rs. 19,535.04, Rs. 9,597.36, Rs. 11,555.50, Rs. 3,983.60, Rs. 2,539.35 and Rs. 656.28.<br />

Among different type <strong>of</strong> <strong>in</strong>ventories, the f<strong>in</strong>ished product <strong>in</strong>ventory was observed to be the<br />

highest both <strong>in</strong> terms <strong>of</strong> quantity and storage period. It was 6.94 qu<strong>in</strong>tals <strong>in</strong> rice valued at Rs.


Table 4.17: City-wise Monthly Costs Incurred <strong>in</strong> Procurment <strong>of</strong> Commodities by Supermarkets <strong>in</strong> Karnataka<br />

Cities Products Agency<br />

Bangalore<br />

Mysore<br />

Quantity<br />

Procured<br />

(Qtls)<br />

Price<br />

(Rs/Qtl)<br />

Total Price<br />

(Rs)<br />

Local<br />

Sales Tax<br />

@ 4%<br />

(Rs)<br />

Transport<br />

Cost (Rs)<br />

TC (Rs) TC/Qtl (Rs)<br />

Rice 49.67 1740.54 86446.58 -- 2099.17 88545.75 1740.54<br />

Wheat 8.58 2057.97 17664.28 -- 470.83 18135.11 2057.97<br />

Green Gram<br />

Tur Dal<br />

APMC<br />

11.08<br />

12.92<br />

4642.21<br />

3293.67<br />

51451.11<br />

42543.19<br />

--<br />

--<br />

559.17<br />

547.92<br />

52010.28<br />

43091.11<br />

4642.21<br />

3293.67<br />

Chilli 0.77 7238.57 5603.06 224.00 128.33 5955.39 7238.57<br />

Mustard<br />

0.64 2518.33 1603.34 63.98 106.20 1773.52 2785.63<br />

Tomato<br />

Farmer/ Own<br />

prodn<br />

29.25 404.23 11823.75 -- 2625.00 14448.75<br />

404.23<br />

Onion<br />

Banana<br />

Apple<br />

Wholesale<br />

Market<br />

12.50<br />

12.50<br />

5.00<br />

728.33<br />

1800.00<br />

5350.00<br />

9104.17<br />

22500.00<br />

26750.00<br />

--<br />

--<br />

--<br />

675.00<br />

675.00<br />

275.00<br />

9779.17<br />

23175.00<br />

27025.00<br />

782.33<br />

1854.00<br />

5405.00<br />

Total 142.90 275489.48 287.98 8161.62 283939.07<br />

Rice 29.93 6654.51 49797.89 -- 1282.67 51080.56 1663.63<br />

Wheat 4.13 1960.97 8105.33 -- 204.33 8309.67 1960.97<br />

Green Gram<br />

Tur Dal<br />

APMC<br />

6.33<br />

5.53<br />

4641.49<br />

3241.53<br />

29396.11<br />

17936.44<br />

--<br />

--<br />

273.33<br />

238.00<br />

29669.44<br />

18174.44<br />

4641.49<br />

3241.53<br />

Chilli 0.64 7286.77 4663.53 186.32 99.67 4949.52 7286.77<br />

Mustard<br />

0.23 2500.00 583.33 23.33 39.33 646.00 2768.57<br />

Tomato 12.00 550.00 6600.00 -- 600.00 7200.00 600.00<br />

Onion Wholesale 10.00 670.00 6700.00 -- 500.00 7200.00 720.00<br />

Banana Market 20.00 1650.00 33000.00 -- 1000.00 34000.00 1700.00<br />

Apple<br />

6.00 5520.00 33120.00 -- 300.00 33420.00 5570.00<br />

Total 94.81 189902.64 209.65 4537.33 194649.63<br />

Contd……


Mangalore<br />

Belgaum<br />

Hubli-<br />

Dharwad<br />

Rice 39.65 1618.82 64186.33 - 1352.67 65539.00 1618.82<br />

Wheat 2.48 2012.19 4996.94 - 87.17 5084.11 2012.19<br />

Green Gram 5.63 4450.49 25071.11 - 225.33 25296.44 4450.49<br />

APMC<br />

Tur Dal 6.82 3096.10 21105.08 - 272.67 21377.75 3096.10<br />

Chilli 0.69 7026.49 4871.70 198.06 122.07 5191.83 7026.49<br />

Mustard<br />

0.15 2406.67 361.00 14.33 26.08 401.42 2676.11<br />

Tomato 4.50 621.67 2797.50 -- 225.00 3022.50 671.67<br />

Wholesale<br />

Onion 5.50 715.00 3932.50 -- 275.00 4207.50 765.00<br />

Market<br />

Banana<br />

9.00 1633.33 14700.00 -- 450.00 15150.00 1683.33<br />

Total 74.43 142022.17 212.39 3035.98 145270.55<br />

Rice 13.95 1574.39 21962.78 -- 452.50 22415.28 1574.39<br />

Wheat 3.83 1819.38 6974.31 -- 121.67 7095.97 1819.38<br />

Green Gram 2.98 4227.28 12611.39 -- 100.83 12712.22 4227.28<br />

APMC<br />

Tur Dal 4.25 2955.88 12562.50 -- 144.17 12706.67 2955.88<br />

Chilli 0.19 6800.00 1292.00 51.70 26.73 1370.43 7212.81<br />

Mustard<br />

0.09 2266.67 196.44 7.87 12.17 216.48 2497.90<br />

Total 25.29 55599.42 59.57 858.07 56517.06<br />

Rice 26.77 1663.09 44515.28 -- 994.33 45509.61 1663.09<br />

Wheat 5.50 1826.21 10044.17 -- 205.00 10249.17 1826.21<br />

Green Gram 5.75 4141.98 23816.39 -- 215.00 24031.39 4141.98<br />

APMC<br />

Tur Dal 5.22 3040.82 15862.94 -- 191.33 16054.28 3040.82<br />

Chilli 0.26 6783.33 1763.67 71.36 41.30 1876.33 7216.64<br />

Mustard<br />

0.18 2350.00 423.00 16.89 28.90 468.79 2604.41<br />

Total 43.67 96425.44 88.25 1675.87 98189.56<br />

Note: CA- Commission Agent, TC-Total Cost


Table 4.18: Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Bangalore Supermarkets<br />

Products Inventories<br />

Rice<br />

Wheat<br />

Green<br />

gram<br />

Tur dal<br />

Total<br />

Qty<br />

(Qtls)<br />

Value (Rs)<br />

No.<strong>of</strong><br />

Days<br />

Stored<br />

Interest<br />

@12.5%<br />

Shr<strong>in</strong>kag<br />

e<br />

Cost components (Rs)<br />

Labour<br />

Charge<br />

(Clean<strong>in</strong>g and<br />

pack<strong>in</strong>g)<br />

Cold<br />

storage<br />

Packag<strong>in</strong>g<br />

Material<br />

Cost<br />

TIC TIC/Qtl<br />

RMI 1.39 2414.82 1.07 0.88 24.15 -- -- -- 25.03 18.04<br />

WIPI 0.77 1355.44 1.00 0.46 13.55 38.55 -- -- 52.57 68.18<br />

FPI 6.94 12670.85 1.40 6.08 126.71 346.96 -- 867.39 1347.13 194.14<br />

WSI 1.54 3114.90 1.20 1.28 31.15 -- -- -- 32.43 21.03<br />

T <strong>in</strong>v 10.64 19535.04 4.67 8.70 195.56 385.51 -- 867.39 1457.16 136.95<br />

RMI 0.20 421.48 1.03 0.15 4.21 -- -- -- 4.36 21.31<br />

WIPI 0.11 232.85 0.84 0.07 2.33 5.60 -- -- 8.00 71.39<br />

FPI 1.35 2896.48 1.50 1.49 28.96 67.36 -- 202.08 299.89 222.60<br />

WSI 0.18 417.65 1.30 0.19 4.18 -- -- -- 4.36 24.79<br />

T <strong>in</strong>v 1.84 3983.60 4.67 1.89 39.68 72.96 -- 202.08 316.61 172.07<br />

RMI 0.77 3589.59 1.12 1.38 71.79 -- -- -- 73.17 94.62<br />

WIPI 0.08 386.66 0.70 0.09 7.73 4.08 -- -- 11.91 145.88<br />

FPI 1.37 6712.80 1.80 4.14 134.26 68.74 -- 171.84 378.97 275.67<br />

WSI 0.15 775.71 1.05 0.28 15.51 -- -- -- 15.79 105.04<br />

T <strong>in</strong>v 2.38 11555.50 4.67 5.89 229.30 72.82 -- 171.84 479.84 201.61<br />

RMI 0.36 1200.58 1.32 0.54 24.01 -- -- -- 24.55 67.37<br />

WIPI 0.23 763.82 0.65 0.17 15.28 11.36 -- -- 26.81 117.97<br />

FPI 2.00 6951.65 1.60 3.81 139.03 99.91 -- 249.77 492.52 246.49<br />

WSI 0.18 670.85 1.10 0.25 13.42 -- -- -- 13.67 75.90<br />

T<strong>in</strong>v 2.77 9597.36 4.67 4.77 191.74 111.27 -- 249.77 557.56 201.28<br />

Contd……


RMI 0.08 597.22 1.27 0.26 13.92 -- -- -- 14.17 171.82<br />

WIPI 0.07 509.51 0.52 0.09 11.87 13.18 -- -- 25.14 365.67<br />

Chilli FPI 0.14 1122.80 1.52 0.58 26.16 27.67 -- 29.45 83.87 580.92<br />

WSI 0.03 287.13 1.02 0.10 6.69 -- -- -- 6.79 197.54<br />

T <strong>in</strong>v 0.33 2539.35 4.33 1.04 58.64 40.85 -- 29.45 129.98 393.87<br />

RMI 0.05 113.31 2.32 0.09 1.13 -- -- -- 1.22 27.18<br />

WIPI 0.02 47.72 1.52 0.02 0.48 3.59 -- -- 4.10 218.44<br />

Mustard FPI 0.16 435.17 5.10 0.76 4.35 30.19 -- 19.69 54.99 349.13<br />

WSI 0.02 58.35 2.30 0.05 0.58 -- -- -- 0.63 33.57<br />

T<strong>in</strong>v 0.24 656.28 11.24 0.92 6.55 33.78 -- 19.69 60.94 253.90<br />

RMI 0.41 164.94 0.80 0.05 16.49 -- 20.41 -- 36.95 90.51<br />

WIPI 0.21 104.02 0.20 0.01 10.40 21.01 10.51 -- 41.93 199.53<br />

Tomato FPI 2.10 1460.50 1.60 0.80 146.05 210.14 105.07 105.07 567.14 269.88<br />

WSI 0.21 202.79 0.40 0.03 20.28 -- -- -- 20.31 96.63<br />

T <strong>in</strong>v 2.93 1874.47 3.00 0.88 193.23 231.16 135.99 105.07 666.33 227.42<br />

RMI 0.38 273.15 1.50 0.14 27.31 -- -- -- 27.45 73.17<br />

WIPI 0.34 274.78 0.67 0.06 27.48 32.02 -- -- 59.56 173.61<br />

Onion FPI 1.82 1771.37 1.90 1.15 177.14 170.08 -- 91.12 439.49 241.16<br />

WSI 0.14 169.04 0.60 0.03 16.90 -- -- -- 16.94 121.55<br />

T <strong>in</strong>v 2.68 2488.38 4.67 1.39 248.83 202.10 -- 91.12 543.44 202.78<br />

RMI 0.31 566.55 0.80 0.16 56.65 -- 15.74 -- 72.55 230.49<br />

WIPI 0.17 340.77 0.50 0.06 34.08 16.79 8.39 -- 59.31 353.35<br />

Banana FPI 0.25 607.18 0.78 0.16 60.72 23.78 12.74 -- 97.40 382.27<br />

WSI 0.51 1417.31 0.92 0.45 141.73 -- -- 38.44 180.62 352.37<br />

T <strong>in</strong>v 1.25 2805.63 3.00 0.82 293.18 40.57 36.87 38.44 409.88 327.91<br />

RMI 0.11 577.34 1.12 0.22 57.73 -- 5.40 -- 63.35 587.05<br />

WIPI 0.16 922.58 0.55 0.17 92.26 15.54 7.77 -- 115.74 744.82<br />

Apple FPI 0.14 951.82 0.58 0.19 95.18 13.29 7.12 -- 115.79 812.86<br />

WSI 0.19 1455.86 1.35 0.67 145.59 -- -- 14.57 160.83 827.97<br />

T <strong>in</strong>v 0.60 3819.60 3.60 1.26 390.76 28.83 20.29 14.57 455.71 759.51<br />

Note: RMI-Raw Material Inventory, WIPI- Work In Proces Inventory, FPI- F<strong>in</strong>ished Product Inventory, WSI- Work <strong>in</strong> Sales Inventories, T <strong>in</strong>v- Total<br />

<strong>in</strong>ventories, TIC- Total Inventory Cost


12,670.85 held for 1.40 days, 1.35 qu<strong>in</strong>tals <strong>in</strong> wheat valued at Rs. 2,896.48 held for 1.50 days<br />

and 2.00 qu<strong>in</strong>tals <strong>in</strong> tur dal valued at Rs. 6,951.65 held for 1.60 days. Next to the f<strong>in</strong>ished<br />

product <strong>in</strong>ventory, most <strong>of</strong> the product was deta<strong>in</strong>ed at work <strong>in</strong> sales <strong>in</strong>ventory and raw<br />

material <strong>in</strong>ventory. The work <strong>in</strong> sales <strong>in</strong>ventory <strong>in</strong> tur dal was 0.18 qu<strong>in</strong>tals for 1.10 days, <strong>in</strong><br />

wheat was 0.18 qu<strong>in</strong>tals for 1.30 days and <strong>in</strong> rice was 1.54 qu<strong>in</strong>tals for 1.20 days. The<br />

storage period <strong>of</strong> work <strong>in</strong> process <strong>in</strong>ventory was low <strong>in</strong> most <strong>of</strong> the products that is one day <strong>in</strong><br />

rice, 0.84 days <strong>in</strong> wheat, 0.22 days <strong>in</strong> green gram, 0.39 days <strong>in</strong> tur dal and 0.13 days <strong>in</strong> chilli.<br />

The packag<strong>in</strong>g material cost and labour charges for clean<strong>in</strong>g and pack<strong>in</strong>g were found to be<br />

the major cost components <strong>of</strong> <strong>in</strong>ventory management <strong>in</strong> all the commodities. However, these<br />

costs were Rs. 867.39 and Rs. 346.96 <strong>in</strong> tur dal, Rs. 202.08 and Rs. 67.36 <strong>in</strong> wheat and Rs.<br />

171.84 and Rs. 68.74 <strong>in</strong> green gram. The m<strong>in</strong>or costs <strong>in</strong>clude <strong>in</strong>terest on work<strong>in</strong>g capital at<br />

the rate <strong>of</strong> 12.5 per cent and shr<strong>in</strong>kage/wastage <strong>of</strong> the product. The shr<strong>in</strong>kage costs were Rs.<br />

229.30 <strong>in</strong> green gram, Rs. 191.74 <strong>in</strong> tur dal, Rs. 195.56 <strong>in</strong> rice etc. At an average, the total<br />

<strong>in</strong>ventory cost per qu<strong>in</strong>tal was more <strong>in</strong> chilli (Rs. 393.87) followed by mustard (Rs. 253.90),<br />

green gram (Rs. 201.61), tur dal (Rs. 201.28), wheat (Rs. 172.07) and rice (Rs.136.95).<br />

In fruits and vegetables, the quantity <strong>of</strong> <strong>in</strong>ventory ma<strong>in</strong>ta<strong>in</strong>ed and their values were<br />

high <strong>in</strong> onion (2.68 qu<strong>in</strong>tals valued at Rs. 2,488.38) and low <strong>in</strong> apple (0.60 qu<strong>in</strong>tals valued at<br />

Rs. 3819.60). In addition, the quantity ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> tomato was 2.68 qu<strong>in</strong>tals with the worth<br />

<strong>of</strong> Rs. 1,874.47 and <strong>in</strong> banana was 1.25 qu<strong>in</strong>tals with the worth <strong>of</strong> Rs. 2,805.63. The work <strong>in</strong><br />

process and f<strong>in</strong>ished product <strong>in</strong>ventories were 0.17 qu<strong>in</strong>tals and 0.51 qu<strong>in</strong>tals <strong>in</strong> case <strong>of</strong><br />

banana and 0.16 qu<strong>in</strong>tals and 0.19 qu<strong>in</strong>tals <strong>in</strong> apple. As <strong>in</strong> the case <strong>of</strong> groceries, the f<strong>in</strong>ished<br />

product <strong>in</strong>ventories found to be ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> highest quantity and for long period <strong>in</strong> tomato<br />

(2.10 qu<strong>in</strong>tals for 1.60 days) and onion (1.82 qu<strong>in</strong>tals for 1.90 days) on the other hand, raw<br />

material <strong>in</strong>ventory was found maximum <strong>in</strong> tomato (0.41 qu<strong>in</strong>tals for 0.80 days) and banana<br />

(0.31 qu<strong>in</strong>tals for 2.20 days). In <strong>in</strong>ventory cost components, shr<strong>in</strong>kage was perceived to be<br />

the highest cost <strong>in</strong> apple (Rs. 390.76) followed by banana (Rs. 293.18), onion (Rs. 248.83)<br />

and tomato (Rs. 193.23). Further, the cold storage cost was Rs. 105.07 <strong>in</strong> tomato, Rs. 38.44<br />

<strong>in</strong> banana and Rs. 20.29 <strong>in</strong> apple. In contrast, the labour charges were Rs. 231.16 <strong>in</strong> tomato<br />

and apple, and no cold storage was used <strong>in</strong> onion. However, the total <strong>in</strong>ventory cost per<br />

qu<strong>in</strong>tal was <strong>in</strong> descend<strong>in</strong>g order <strong>in</strong>case <strong>of</strong> apple (Rs. 759.51), banana (Rs.321.91), tomato<br />

(Rs. 227.42) and onion (Rs.202.78).<br />

4.5.1.2 Mysore<br />

Table 4.19 presents the costs <strong>of</strong> <strong>in</strong>ventory and prepar<strong>in</strong>g the product for sale <strong>in</strong><br />

Mysore <strong>supermarket</strong>s.<br />

It was shown <strong>in</strong> table that the storage period <strong>of</strong> <strong>in</strong>ventories was 4 days <strong>in</strong> all the<br />

groceries except mustard where<strong>in</strong> storage period was 15 days. In case <strong>of</strong> fruits and<br />

vegetables, the period was 2 days <strong>in</strong> tomato, banana and apple but 4 days <strong>in</strong> onion.<br />

The quantity and value <strong>of</strong> groceries was looked to be high <strong>in</strong> rice (7.48 qu<strong>in</strong>tals<br />

accounted for worth <strong>of</strong> Rs. 13,136.75) followed by green gram (1.58 qu<strong>in</strong>tals accounted for<br />

worth <strong>of</strong> Rs. 2,125.66), wheat (1.03 qu<strong>in</strong>tals accounted for worth <strong>of</strong> Rs. 2,125.66), tur dal<br />

(1.38 qu<strong>in</strong>tals accounted for worth <strong>of</strong> Rs. 4,707.18), chilli (0.16 qu<strong>in</strong>tals accounted for worth <strong>of</strong><br />

Rs. 1230.88) and mustard (0.12 qu<strong>in</strong>tals accounted for worth <strong>of</strong> Rs. 325.65). The maximum<br />

quantity <strong>of</strong> <strong>in</strong>ventory was held <strong>in</strong> f<strong>in</strong>ished product <strong>in</strong>ventory stage <strong>in</strong> all the grocery items. It<br />

was 3.09 qu<strong>in</strong>tals for 1.30 days <strong>in</strong> rice, 0.42 qu<strong>in</strong>tals for 1.30 days <strong>in</strong> wheat, 0.65 qu<strong>in</strong>tals for<br />

1.66 days <strong>in</strong> green gram, 0.57 qu<strong>in</strong>tals for 1.40 days <strong>in</strong> tur dal. More than half <strong>of</strong> the quantity<br />

<strong>of</strong> chilli (0.07 qu<strong>in</strong>tals) and mustard (0.05 qu<strong>in</strong>tals) was also held <strong>in</strong> this stage only. The work<br />

<strong>in</strong> process <strong>in</strong>ventory accounts for less quantity and m<strong>in</strong>imum storage period <strong>in</strong> almost all<br />

groceries. Work <strong>in</strong> sales <strong>in</strong>ventory was 2.34 qu<strong>in</strong>tals <strong>of</strong> rice, 0.32 qu<strong>in</strong>tals <strong>of</strong> wheat, 0.49<br />

qu<strong>in</strong>tals green gram, 0.43 qu<strong>in</strong>tals <strong>of</strong> tur dal, 0.05 qu<strong>in</strong>tals <strong>of</strong> chilli and 0.04 qu<strong>in</strong>tals mustard.<br />

In respect <strong>of</strong> costs, packag<strong>in</strong>g material and labours charge was the major, and shr<strong>in</strong>kage and<br />

<strong>in</strong>terest on work<strong>in</strong>g capital were the m<strong>in</strong>or components <strong>in</strong> <strong>in</strong>ventory management. The<br />

packag<strong>in</strong>g cost was higher <strong>in</strong> the order <strong>of</strong> rice (Rs. 357.92), green gram (Rs. 74.95), tur dal<br />

(Rs. 65.46), wheat (Rs. 54.38), chilli (Rs. 13.46) and mustard (Rs. 8.32). The labour charge<br />

accounted for Rs. 201.03, Rs. 45.29, Rs. 39.56, Rs. 29.52, Rs. 14.76 and Rs. 11.07 <strong>in</strong> rice,<br />

green gram, tur dal, wheat, chilli and mustard. Shr<strong>in</strong>kage was observed to be more <strong>in</strong> green<br />

gram (Rs. 155.25).


Table 4.19: Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Mysore Supermarkets<br />

Products Inventories<br />

Rice<br />

Wheat<br />

Green<br />

gram<br />

Tur dal<br />

Total<br />

Qty<br />

(Qtls)<br />

Value (Rs)<br />

No.<strong>of</strong><br />

Days<br />

Stored<br />

Interest<br />

@12.5%<br />

Shr<strong>in</strong>kage<br />

Cost components (Rs)<br />

Labour<br />

Charge<br />

(Clean<strong>in</strong>g<br />

and<br />

pack<strong>in</strong>g)<br />

Cold<br />

storage<br />

Packag<strong>in</strong>g<br />

Material<br />

Cost<br />

TIC TIC/Qtl<br />

RMI 1.12 1867.01 1.10 0.70 18.67 -- -- -- 19.37 17.27<br />

WIPI 0.94 1571.74 0.90 0.48 15.72 46.75 -- -- 62.95 67.33<br />

FPI 3.09 5393.45 1.30 2.40 53.93 154.28 -- 357.92 568.53 184.26<br />

WSI 2.34 4516.05 0.70 1.08 45.16 -- -- -- 46.24 19.78<br />

T <strong>in</strong>v 7.48 13136.75 4.00 4.67 133.48 201.03 -- 357.92 697.10 93.19<br />

RMI 0.15 302.97 1.00 0.10 3.03 -- -- -- 3.13 20.28<br />

WIPI 0.13 255.05 0.60 0.05 2.55 6.87 -- -- 9.47 73.55<br />

FPI 0.42 873.12 1.30 0.39 8.73 22.66 -- 54.38 86.16 202.79<br />

WSI 0.32 726.79 1.10 0.27 7.27 -- -- -- 7.54 23.43<br />

T <strong>in</strong>v 1.03 2125.66 4.00 0.82 21.58 29.52 -- 54.38 106.31 103.21<br />

RMI 0.24 1099.92 1.00 0.38 22.00 -- -- -- 22.38 94.41<br />

WIPI 0.20 935.16 0.45 0.14 18.70 10.53 -- -- 29.38 148.76<br />

FPI 0.65 3183.15 1.52 1.66 63.66 34.76 -- 74.95 175.03 268.55<br />

WSI 0.49 2544.29 1.03 0.90 50.89 -- -- -- 51.78 104.88<br />

T <strong>in</strong>v 1.58 7668.14 4.00 3.08 155.25 45.29 -- 74.95 278.57 176.31<br />

RMI 0.21 671.09 1.05 0.24 13.42 -- -- -- 13.66 66.01<br />

WIPI 0.17 570.63 0.65 0.13 11.41 9.20 -- -- 20.74 120.23<br />

FPI 0.57 1951.39 1.40 0.94 39.03 30.36 -- 65.46 135.79 238.53<br />

WSI 0.43 1580.96 0.90 0.49 31.62 -- -- -- 32.11 74.45<br />

T<strong>in</strong>v 1.38 4707.18 4.00 1.79 95.48 39.56 -- 65.46 202.29 146.59<br />

Contd…..


Chilli<br />

Mustard<br />

Tomato<br />

Onion<br />

Banana<br />

Apple<br />

RMI 0.02 174.89 1.24 0.07 3.50 -- -- -- 3.57 148.83<br />

WIPI 0.02 148.72 0.34 0.02 2.97 3.43 -- -- 6.43 321.26<br />

FPI 0.07 511.96 1.42 0.25 10.24 11.33 -- 13.46 35.28 534.58<br />

WSI 0.05 414.60 1.00 0.14 8.29 -- -- -- 8.43 168.68<br />

T <strong>in</strong>v 0.16 1230.88 4.00 0.48 25.00 14.76 -- 13.46 53.71 335.71<br />

RMI 0.02 45.00 3.72 0.06 0.45 -- -- -- 0.51 28.18<br />

WIPI 0.02 37.92 2.48 0.03 0.38 2.58 -- -- 2.99 199.10<br />

FPI 0.05 134.99 6.50 0.30 1.35 8.50 -- 8.32 18.46 373.01<br />

WSI 0.04 116.25 2.30 0.09 1.16 -- -- -- 1.25 33.44<br />

T<strong>in</strong>v 0.12 325.65 15.00 0.48 3.34 11.07 -- 8.32 23.21 193.43<br />

RMI 0.12 66.00 0.45 0.01 6.60 -- 6.00 -- 12.61 105.08<br />

WIPI 0.10 65.50 0.20 0.00 6.55 7.50 5.00 -- 19.05 190.54<br />

FPI 0.33 279.18 0.75 0.07 27.92 24.75 16.50 16.50 85.74 259.82<br />

WSI 0.25 276.50 0.60 0.06 27.65 -- -- -- 27.71 110.83<br />

T <strong>in</strong>v 0.80 631.40 2.00 0.14 68.72 32.25 27.50 16.50 145.11 181.39<br />

RMI 0.38 251.25 1.35 0.12 12.56 -- -- -- 12.68 33.81<br />

WIPI 0.31 220.00 0.67 0.05 11.00 23.44 -- -- 34.49 110.36<br />

FPI 1.03 839.44 1.40 0.40 41.97 77.34 -- 51.56 171.28 166.09<br />

WSI 0.78 765.63 0.58 0.15 38.28 -- -- -- 38.43 49.19<br />

T <strong>in</strong>v 2.50 1980.00 4.00 0.72 103.82 100.78 -- 51.56 256.88 102.75<br />

RMI 0.30 495.00 0.50 0.08 24.75 -- 15.00 -- 39.83 132.78<br />

WIPI 0.25 445.75 0.22 0.03 22.29 25.00 12.50 -- 59.82 239.28<br />

FPI 0.83 1668.15 0.48 0.27 83.41 -- 41.25 -- 124.93 151.43<br />

WSI 0.63 1358.13 0.80 0.37 67.91 -- -- 37.50 105.78 169.25<br />

T <strong>in</strong>v 2.00 3814.00 2.00 0.76 198.35 25.00 68.75 37.50 330.37 165.18<br />

RMI 0.09 496.80 0.45 0.08 49.68 -- 4.50 -- 54.26 602.85<br />

WIPI 0.08 459.23 0.52 0.08 45.92 7.50 3.75 -- 57.25 763.39<br />

FPI 0.25 1704.29 0.48 0.28 170.43 -- 12.38 -- 183.08 739.73<br />

WSI 0.19 1429.88 0.55 0.27 142.99 -- -- 14.06 157.32 839.04<br />

T <strong>in</strong>v 0.60 3923.25 2.00 0.71 409.02 7.50 20.63 14.06 451.91 753.19<br />

Note: RMI-Raw Material Inventory, WIPI- Work In Proces Inventory, FPI- F<strong>in</strong>ished Product Inventory, WSI- Work <strong>in</strong> Sales Inventories, T <strong>in</strong>v- Total<br />

<strong>in</strong>ventories, TIC- Total Inventory Cost


In fruits and vegetables, the quantity and value <strong>of</strong> <strong>in</strong>ventory period was more <strong>in</strong> onion<br />

(2.50 qu<strong>in</strong>tals valued at Rs. 1,980.00) followed by banana (2.00 qu<strong>in</strong>tals valued at Rs.<br />

3,814.00), tomato (0.80 qu<strong>in</strong>tals valued at Rs. 631.40) and apple (0.60 qu<strong>in</strong>tals valued at Rs.<br />

3,923.25). The f<strong>in</strong>ished product <strong>in</strong>ventory had the highest quantity <strong>in</strong> onion (1.03 qu<strong>in</strong>tals for<br />

1.40 days) and it was 0.33 qu<strong>in</strong>tals <strong>in</strong> tomato. The work <strong>in</strong> sales <strong>in</strong>ventory was 0.63 qu<strong>in</strong>tals <strong>in</strong><br />

banana, 0.78 qu<strong>in</strong>tals <strong>in</strong> onion, 0.25 qu<strong>in</strong>tals <strong>in</strong> tomato and 0.19 qu<strong>in</strong>tals <strong>in</strong> apple. Labours<br />

charge for clean<strong>in</strong>g and pack<strong>in</strong>g was the prime cost component <strong>in</strong>volved <strong>in</strong> <strong>in</strong>ventory<br />

management <strong>of</strong> fruits and vegetables followed by shr<strong>in</strong>kage and packag<strong>in</strong>g material. The<br />

costs were Rs. 100.78, Rs. 103.82 and Rs. 51.56 for onion and Rs. 32.25, Rs. 68.72 and Rs.<br />

16.50 for tomato. However, the total <strong>in</strong>ventory cost per qu<strong>in</strong>tal was Rs. 753.19 <strong>in</strong> apple, Rs.<br />

181.39 <strong>in</strong> tomato, Rs. 165.18 <strong>in</strong> banana and Rs, 102.75 <strong>in</strong> onion.<br />

4.5.1.3 Mangalore<br />

It was revealed from the Table 4.20 that the storage period <strong>of</strong> rice, wheat, green<br />

gram, and tur dal was 5.67 days whereas the period was 5.94 days <strong>in</strong> chilli and 12.87 days <strong>in</strong><br />

mustard. Similarly, <strong>in</strong> fruits and vegetables the storage period was 3 days <strong>in</strong> tomato and<br />

banana but 5 days <strong>in</strong> onion. No sale <strong>of</strong> apple was observed <strong>in</strong> Mangalore <strong>supermarket</strong>s.<br />

The grocery <strong>in</strong>ventories ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> different stages were greatest <strong>in</strong> rice (7.00<br />

qu<strong>in</strong>tals) followed by tur dal (1.20 qu<strong>in</strong>tals), green gram (0.99 qu<strong>in</strong>tals), wheat (0.44 qu<strong>in</strong>tals),<br />

chilli (0.12 qu<strong>in</strong>tals) and mustard (0.06 qu<strong>in</strong>tals) and the respective worth were Rs. 11,900.00,<br />

Rs. 3,906.60, Rs. 4,731.21, Rs. 933.46, Rs. 891.18 and Rs. 156.48. Here also the f<strong>in</strong>ished<br />

product <strong>in</strong>ventories occupied the most quantity and maximum period <strong>of</strong> storage. It was 4.05<br />

qu<strong>in</strong>tals for 1.87 days <strong>in</strong> rice, 0.25 qu<strong>in</strong>tals for 1.95 days <strong>in</strong> wheat, 0.57 qu<strong>in</strong>tals for 1.92 days<br />

<strong>in</strong> green gram, 0.69 qu<strong>in</strong>tals for 1.05 days <strong>in</strong> tur dal, 0.07 qu<strong>in</strong>tals <strong>in</strong> 2.22 days and 0.03<br />

qu<strong>in</strong>tals for 5.07 days <strong>in</strong> mustard. The least quantity the commodity seized was aga<strong>in</strong> the<br />

work <strong>in</strong> process <strong>in</strong>ventory. The quantity at work <strong>in</strong> sales was moderate that is 0.73 qu<strong>in</strong>tals <strong>in</strong><br />

rice, 0.08 qu<strong>in</strong>tals <strong>in</strong> wheat, 0.17 qu<strong>in</strong>tals <strong>in</strong> green gram, 0.21 qu<strong>in</strong>tals <strong>in</strong> tur dal, 0.02 <strong>in</strong> chilli<br />

and 0.01 qu<strong>in</strong>tals <strong>in</strong> mustard. In case <strong>of</strong> costs, packag<strong>in</strong>g material followed by labour charges<br />

were the major costs <strong>in</strong> <strong>in</strong>ventory. In packag<strong>in</strong>g material the cost <strong>in</strong>volved was Rs 445.54 <strong>in</strong><br />

rice, Rs. 76.38 <strong>in</strong> tur dal, Rs. 63.01 <strong>in</strong> green gram, Rs. 31.82 <strong>in</strong> wheat, Rs. 13.26 <strong>in</strong> chilli and<br />

Rs. 3.82 <strong>in</strong> mustard. The labour charges were Rs. 175.44 <strong>in</strong> rice, Rs. 38.28 <strong>in</strong> tur dal, Rs.<br />

31.58 <strong>in</strong> green gram, Rs. 18.55 <strong>in</strong> wheat, Rs. 14.58 <strong>in</strong> chilli and Rs. 7.27 <strong>in</strong> mustard.<br />

However, the total <strong>in</strong>ventory cost per qu<strong>in</strong>tal was highest <strong>in</strong> chilli (Rs. 385.78) followed by<br />

green gram (Rs. 195.27), tur dal (Rs. 162.62), mustard (Rs. 214.70) and wheat (Rs. 136.87).<br />

In fruits and vegetables, the maximum <strong>in</strong>ventory was ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> onion (1.10<br />

qu<strong>in</strong>tals valued at Rs. 925.65) subsequently <strong>in</strong> tomato (0.45 qu<strong>in</strong>tals valued at Rs. 357.08)<br />

and banana (0.90 qu<strong>in</strong>tals valued at Rs 1,852.20). It was also observed from the table that<br />

the f<strong>in</strong>ished product <strong>in</strong>ventory had the highest quantity and maximum storage period that is<br />

0.64 qu<strong>in</strong>tals for 1.90 days <strong>in</strong> onion. As for as <strong>in</strong>ventory costs concern labour charge and<br />

packag<strong>in</strong>g materials were the ma<strong>in</strong> components. It was Rs. 57.64 and Rs. 31.82 <strong>in</strong> onion, Rs.<br />

23.58 and Rs. 13.02 <strong>in</strong> tomato respectively. The unit cost <strong>of</strong> <strong>in</strong>ventory for banana was Rs.<br />

312.36, Rs. 163.21 for tomato and Rs. 124.39 for onion.<br />

4.5.1.4 Belgaum<br />

It could be noticed from the Table 4.21 that the storage period <strong>of</strong> <strong>in</strong>ventory by the<br />

<strong>supermarket</strong>s were 4.39 days <strong>in</strong> rice, 4.42 days <strong>in</strong> tur dal, 4.33 days each <strong>in</strong> wheat, green<br />

gram and mustard but the highest storage period <strong>of</strong> 15 days was observed <strong>in</strong> mustard.<br />

The quantity <strong>of</strong> <strong>in</strong>ventories was found to be high <strong>in</strong> rice (3.19 qu<strong>in</strong>tals) followed by tur<br />

dal (0.96 qu<strong>in</strong>tals), wheat (0.85 qu<strong>in</strong>tals), green gram (0.69 qu<strong>in</strong>tals), chilli and mustard (0.04<br />

qu<strong>in</strong>tals each) <strong>in</strong> groceries. The respective <strong>in</strong>ventories valued at Rs. 5,273.87, Rs. 3,051.84,<br />

Rs. 1,622.01, Rs. 3,045.66, Rs. 286.25 and Rs. 99.43. Among different type <strong>of</strong> <strong>in</strong>ventories,<br />

the f<strong>in</strong>ished product <strong>in</strong>ventory was observed to be the highest <strong>in</strong> terms <strong>of</strong> quantity. It was 2.07<br />

qu<strong>in</strong>tals <strong>in</strong> rice followed by 0.59 qu<strong>in</strong>tals <strong>in</strong> tur dal, 0.58 qu<strong>in</strong>tals <strong>in</strong> wheat, 0.47 qu<strong>in</strong>tals <strong>in</strong><br />

green gram, 0.02 qu<strong>in</strong>tals <strong>in</strong> chilli and 0.01 qu<strong>in</strong>tals <strong>in</strong> mustard. The kept <strong>in</strong> work <strong>in</strong> process<br />

<strong>in</strong>ventory was found to be m<strong>in</strong>imum <strong>in</strong> all the cases. The Packag<strong>in</strong>g cost was found to be the<br />

prime cost <strong>in</strong> <strong>in</strong>ventory as it was Rs. 212.94 <strong>in</strong> rice, Rs. 70.34 <strong>in</strong> wheat, Rs. 60.81 <strong>in</strong> tur dal,<br />

Rs. 48.21 <strong>in</strong> green gram, Rs. 3.43 <strong>in</strong> chilli and Rs. 2.17 <strong>in</strong> mustard. Similarly the labour cost<br />

<strong>in</strong>curred were Rs. 94.98 <strong>in</strong> rice, Rs. 28.64 <strong>in</strong> tur dal, Rs. 24.78 <strong>in</strong> wheat, Rs. 20.95 <strong>in</strong> green


Table 4.20: Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Mangalore Supermarkets<br />

Rice<br />

Products Inventories<br />

Wheat<br />

Green gram<br />

Tur dal<br />

Total<br />

Qty<br />

(Qtls)<br />

Value (Rs)<br />

No.<strong>of</strong><br />

Days<br />

Stored<br />

Interest<br />

@12.5% Shr<strong>in</strong>kage<br />

Cost components (Rs)<br />

Labour<br />

Charge<br />

(Clean<strong>in</strong>g<br />

and<br />

pack<strong>in</strong>g)<br />

Cold<br />

storage<br />

Packag<strong>in</strong>g<br />

Material<br />

Cost<br />

TIC TIC/Qtl<br />

RMI 1.20 1942.15 1.65 1.10 19.42 -- -- -- 20.52 17.10<br />

WIPI 0.73 1200.61 1.30 0.53 12.01 26.91 -- -- 39.45 53.76<br />

FPI 4.05 6845.18 1.87 4.38 68.45 148.53 -- 445.54 666.91 164.65<br />

WSI 1.02 1884.92 0.85 0.55 18.85 -- -- -- 19.40 19.09<br />

T <strong>in</strong>v 7.00 11900.00 5.67 6.56 118.73 175.44 -- 445.54 746.28 106.61<br />

RMI 0.08 151.71 1.47 0.08 1.52 -- -- -- 1.59 21.13<br />

WIPI 0.05 93.78 1.25 0.04 0.94 2.84 -- -- 3.82 82.87<br />

FPI 0.25 538.73 1.95 0.36 5.39 15.70 -- 31.82 53.27 209.24<br />

WSI 0.06 148.50 1.00 0.05 1.49 -- -- -- 1.54 24.05<br />

T <strong>in</strong>v 0.44 933.46 5.67 0.53 9.33 18.55 -- 31.82 60.22 136.87<br />

RMI 0.17 754.97 1.54 0.40 15.10 -- -- -- 15.50 91.35<br />

WIPI 0.10 471.31 0.68 0.11 9.43 4.84 -- -- 14.38 138.55<br />

FPI 0.57 2825.83 1.92 1.86 56.52 26.73 -- 63.01 148.12 258.57<br />

WSI 0.14 746.14 1.53 0.39 14.92 -- -- -- 15.31 106.56<br />

T <strong>in</strong>v 0.99 4731.21 5.67 2.76 95.97 31.58 -- 63.01 193.31 195.27<br />

RMI 0.21 636.68 1.82 0.40 12.73 -- -- -- 13.13 63.85<br />

WIPI 0.13 397.55 0.92 0.13 7.95 5.87 -- -- 13.95 110.87<br />

FPI 0.69 2271.23 1.88 1.46 45.42 32.41 -- 76.38 155.67 224.20<br />

WSI 0.17 608.81 1.05 0.22 12.18 -- -- -- 12.40 71.16<br />

T<strong>in</strong>v 1.20 3906.60 5.67 2.20 78.29 38.28 -- 76.38 195.14 162.62<br />

Contd….


Chilli<br />

Mustard<br />

Tomato<br />

Onion<br />

Banana<br />

RMI 0.02 144.49 1.63 0.08 2.89 -- -- -- 2.97 144.44<br />

WIPI 0.01 90.20 0.74 0.02 1.80 2.24 -- -- 4.06 322.94<br />

FPI 0.07 520.28 2.22 0.40 10.41 12.34 -- 13.26 36.40 524.28<br />

WSI 0.02 139.65 1.35 0.06 2.79 -- -- -- 2.86 164.05<br />

T <strong>in</strong>v 0.12 891.18 5.94 0.56 17.89 14.58 -- 13.26 46.29 385.78<br />

RMI 0.01 24.75 2.82 0.02 0.25 -- -- -- 0.27 26.39<br />

WIPI 0.01 15.30 2.58 0.01 0.15 1.12 -- -- 1.28 203.81<br />

FPI 0.03 91.55 5.07 0.16 0.92 6.16 -- 3.82 11.05 318.28<br />

WSI 0.01 25.74 2.40 0.02 0.26 -- -- -- 0.28 31.98<br />

T<strong>in</strong>v 0.06 156.48 12.87 0.22 1.57 7.27 -- 3.82 12.88 214.70<br />

RMI 0.08 47.97 0.95 0.08 4.80 -- -- -- 4.87 63.20<br />

WIPI 0.05 32.27 0.53 0.05 3.23 3.62 -- -- 6.89 146.07<br />

FPI 0.26 215.86 0.85 0.26 21.59 19.96 -- 13.02 54.83 210.57<br />

WSI 0.07 67.87 0.67 0.07 6.79 -- -- -- 6.85 104.90<br />

T <strong>in</strong>v 0.45 357.08 3.00 0.45 36.40 23.58 -- 13.02 73.45 163.21<br />

RMI 0.19 134.78 1.58 0.07 6.74 -- -- -- 6.81 36.14<br />

WIPI 0.12 86.61 0.67 0.02 4.33 8.84 -- -- 13.19 114.39<br />

FPI 0.64 550.57 1.90 0.36 27.53 48.80 -- 31.82 108.51 170.48<br />

WSI 0.16 165.27 0.85 0.05 8.26 -- -- -- 8.31 52.05<br />

T <strong>in</strong>v 1.10 925.65 5.00 0.50 46.86 57.64 -- 31.82 136.83 124.39<br />

RMI 0.15 251.86 0.90 0.08 25.19 -- -- -- 25.26 163.80<br />

WIPI 0.09 169.56 0.35 0.02 16.96 9.44 4.72 -- 31.13 329.92<br />

FPI 0.52 1107.67 0.60 0.23 110.77 48.60 26.04 -- 185.64 356.47<br />

WSI 0.13 324.39 1.15 0.13 32.44 -- -- 6.53 39.10 299.28<br />

T <strong>in</strong>v 0.90 1852.20 3.00 0.45 185.35 58.04 30.76 6.53 281.13 312.36<br />

Note: RMI-Raw Material Inventory, WIPI- Work In Proces Inventory, FPI- F<strong>in</strong>ished Product Inventory, WSI- Work <strong>in</strong> Sales Inventories, T <strong>in</strong>v- Total<br />

<strong>in</strong>ventories, TIC- Total Inventory Cost


Table 4.21: Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Belgaum Supermarkets<br />

Products Inventories<br />

Rice<br />

Wheat<br />

Green<br />

gram<br />

Tur dal<br />

Total<br />

Qty<br />

(Qtls)<br />

Value (Rs)<br />

No.<strong>of</strong><br />

Days<br />

Stored<br />

Interest<br />

@12.5%<br />

Shr<strong>in</strong>kage<br />

Cost components (Rs)<br />

Labour<br />

Charge<br />

(Clean<strong>in</strong>g<br />

and<br />

pack<strong>in</strong>g)<br />

Packag<strong>in</strong>g<br />

Material<br />

Cost<br />

TIC TIC/Qtl<br />

RMI 0.34 538.74 1.43 0.26 5.39 -- -- 5.65 16.51<br />

WIPI 0.47 740.60 1.35 0.34 7.41 17.46 -- 25.20 54.15<br />

FPI 2.07 3400.77 1.28 1.49 34.01 77.53 212.94 325.96 157.67<br />

WSI 0.31 567.75 0.33 0.06 5.68 -- -- 5.74 18.23<br />

T <strong>in</strong>v 3.19 5273.87 4.39 2.16 52.48 94.98 212.94 362.56 113.65<br />

RMI 0.12 209.75 1.47 0.11 2.10 -- -- 2.20 19.11<br />

WIPI 0.04 78.72 0.46 0.01 0.79 1.71 -- 2.51 58.67<br />

FPI 0.58 1093.72 1.55 0.58 10.94 23.06 70.34 104.92 181.98<br />

WSI 0.12 239.73 0.85 0.07 2.40 -- -- 2.47 21.40<br />

T <strong>in</strong>v 0.85 1622.01 4.33 0.77 16.22 24.78 70.34 112.10 131.88<br />

RMI 0.09 395.67 0.90 0.12 7.91 -- -- 8.04 85.84<br />

WIPI 0.03 149.92 0.68 0.03 3.00 1.45 -- 4.48 128.91<br />

FPI 0.47 2078.49 1.22 0.87 41.57 19.50 48.21 110.15 235.35<br />

WSI 0.09 437.70 1.53 0.23 8.75 -- -- 8.98 95.97<br />

T <strong>in</strong>v 0.69 3045.66 4.33 1.25 61.24 20.95 48.21 131.65 190.79<br />

RMI 0.16 466.30 1.32 0.21 9.33 -- -- 9.54 60.46<br />

WIPI 0.09 280.61 0.72 0.07 5.61 3.79 -- 9.47 105.11<br />

FPI 0.59 1899.98 1.33 0.87 38.00 24.84 60.81 124.52 210.91<br />

WSI 0.12 417.28 1.05 0.15 8.35 -- -- 8.50 69.81<br />

T <strong>in</strong>v 0.96 3051.84 4.42 1.30 61.28 28.64 60.81 152.03 158.36<br />

Contd…..


Chilli<br />

Mustard<br />

RMI 0.01 57.26 1.33 0.03 1.15 -- -- 1.17 139.10<br />

WIPI 0.00 29.22 0.74 0.01 0.58 0.58 -- 1.17 278.87<br />

FPI 0.02 151.96 1.72 0.09 3.04 2.91 3.43 9.47 449.94<br />

WSI 0.01 48.43 0.54 0.01 0.97 -- -- 0.98 154.78<br />

T <strong>in</strong>v 0.04 286.25 4.33 0.13 5.74 3.49 3.43 12.80 319.89<br />

RMI 0.01 20.15 3.82 0.03 0.40 -- -- 0.43 48.31<br />

WIPI 0.00 10.29 2.58 0.01 0.21 0.61 -- 0.83 186.68<br />

FPI 0.01 33.36 6.07 0.07 0.67 1.84 2.17 4.75 356.57<br />

WSI 0.01 38.12 2.53 0.03 0.76 -- -- 0.80 59.66<br />

T <strong>in</strong>v 0.04 99.43 15.00 0.14 2.04 2.46 2.17 6.81 170.22<br />

Note: RMI-Raw Material Inventory, WIPI- Work In Proces Inventory, FPI- F<strong>in</strong>ished Product Inventory, WSI- Work <strong>in</strong> Sales Inventories, T <strong>in</strong>v- Total<br />

<strong>in</strong>ventories, TIC- Total Inventory Cost


gram, Rs. 3.49 <strong>in</strong> chilli and Rs. 2.46 <strong>in</strong> mustard. It was observed that the total <strong>in</strong>ventory costs<br />

were found maximum <strong>in</strong> case <strong>of</strong> rice (Rs. 362.56) and low <strong>in</strong> mustard (Rs. 6.81). However,<br />

the unit cost per qu<strong>in</strong>tal was high <strong>in</strong> chilli (Rs. 190.79) followed by mustard (Rs. 158.36),<br />

green gram (Rs. 190.79), tur dal (Rs. 158.36), wheat (Rs. 131.88) and rice (Rs. 113.65). No<br />

sale <strong>of</strong> fruits and vegetables were observed <strong>in</strong> Belgaum <strong>supermarket</strong>s.<br />

4.5.1.5 Hubli-Dharwad<br />

It was observed from the Table 4.22 that the storage periods <strong>of</strong> commodities <strong>in</strong> the<br />

<strong>in</strong>ventories by the <strong>supermarket</strong>s were 3.67 days each <strong>in</strong> rice, wheat, green gram, tur dal and<br />

chilli whereas, the period was 15 days <strong>in</strong> mustard.<br />

As it was revealed from the table that the quantity ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> <strong>in</strong>ventories and their<br />

values were more <strong>in</strong> rice (7.30 qu<strong>in</strong>tals worth at Rs. 12,685.58) followed by green gram (1.57<br />

qu<strong>in</strong>tals worth at Rs. 1,803.20), wheat (1.50 qu<strong>in</strong>tals worth at Rs. 2,886.38), tur dal (1.42<br />

qu<strong>in</strong>tals worth at Rs. 4,539.74), chilli (0.07 qu<strong>in</strong>tals worth at Rs. 500.19) and mustard (0.09<br />

qu<strong>in</strong>tals worth at Rs. 228.11). Among the different <strong>in</strong>ventories f<strong>in</strong>ished product <strong>in</strong>ventory<br />

occupied maximum quantity and storage period <strong>in</strong> all the commodities that is 4.58 qu<strong>in</strong>tals for<br />

1.26 days <strong>in</strong> rice followed by 1.09 qu<strong>in</strong>tals for 1.60 days <strong>in</strong> green gram, 0.81 qu<strong>in</strong>tals for 1.35<br />

days <strong>in</strong> wheat, 0.95 qu<strong>in</strong>tals for 1.20 days <strong>in</strong> tur dal, 0.04 qu<strong>in</strong>tals for 1.35 days <strong>in</strong> chilli and<br />

0.03 qu<strong>in</strong>tals for 5.97 days <strong>in</strong> mustard. Aga<strong>in</strong> the work <strong>in</strong> process <strong>in</strong>ventory was low <strong>in</strong> all the<br />

commodities. Here packag<strong>in</strong>g materials, labour charges and shr<strong>in</strong>kage were the major cost<br />

components. The packag<strong>in</strong>g material cost was Rs. 458.30, Rs. 116.66, Rs. 103.20, Rs.<br />

95.21, Rs. 6.34 and Rs. 2.83 <strong>in</strong> rice, green gram, wheat, tur dal, chilli and mustard<br />

respectively. The cost was Rs. 136.72 and Rs. 91.12 <strong>in</strong> shr<strong>in</strong>kage <strong>of</strong> green gram and tur dal.<br />

The total <strong>in</strong>ventory costs were found to be high <strong>in</strong> rice (Rs. 757.51) and low <strong>in</strong> mustard (Rs.<br />

12.30). At an average the total <strong>in</strong>ventory cost per qu<strong>in</strong>tal was <strong>in</strong> the descend<strong>in</strong>g order <strong>in</strong> chilli<br />

(Rs. 337.14), green gram (Rs. 200.72), tur dal (Rs 169.78), mustard (Rs. 136.62), wheat (Rs.<br />

121.12) and rice (Rs. 103.77). No sale <strong>of</strong> fruits and vegetables were observed <strong>in</strong> Hubli-<br />

Dharwad <strong>supermarket</strong>s.<br />

4.5.2 Average costs <strong>of</strong> Inventory and prepar<strong>in</strong>g the products for sale at<br />

<strong>supermarket</strong>s <strong>in</strong> Karnataka<br />

The costs <strong>of</strong> <strong>in</strong>ventory and prepar<strong>in</strong>g the products for sale <strong>in</strong> selected cities across<br />

Karnataka are presented <strong>in</strong> Table 4.23. It could be seen from the table that the short time<br />

period <strong>in</strong>ventories were ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> different commodities. In case <strong>of</strong> groceries, the period<br />

was 4.48 days <strong>in</strong> rice, 4.47 days each <strong>in</strong> wheat and green gram, 4.49 days <strong>in</strong> tur dal, 4.45<br />

days <strong>in</strong> chilli and 13.82 days <strong>in</strong> mustard while <strong>in</strong> case <strong>of</strong> fruits and vegetables, 2.73 days <strong>in</strong><br />

onion, 1.12 days <strong>in</strong> apple and 1.60 days each <strong>in</strong> tomato and banana.<br />

The quantity <strong>of</strong> <strong>in</strong>ventories <strong>in</strong> groceries was found to be high <strong>in</strong> rice (7.12 qu<strong>in</strong>tals)<br />

followed by tur dal (1.55 qu<strong>in</strong>tals), green gram (1.44 qu<strong>in</strong>tals), wheat (1.13 qu<strong>in</strong>tals), chilli<br />

(0.14 qu<strong>in</strong>tals) and mustard (0.11 qu<strong>in</strong>tals). The respective <strong>in</strong>ventories valued at Rs.<br />

12,506.25, Rs. 5,160.54, Rs. 6,760.74, Rs. 2310.22, Rs. 1089.00 and Rs. 293.19. Among<br />

different type <strong>of</strong> <strong>in</strong>ventories, the f<strong>in</strong>ished product <strong>in</strong>ventory was observed to be the highest<br />

both <strong>in</strong> terms <strong>of</strong> quantity and storage period. It was 4.15 qu<strong>in</strong>tals <strong>in</strong> rice valued at Rs.<br />

7,246.84 held for 1.42 days, 0.96 qu<strong>in</strong>tals <strong>in</strong> tur dal valued at Rs. 3,227.05 held for 1.48 days,<br />

0.83 qu<strong>in</strong>tals <strong>in</strong> green gram valued at Rs. 3,910.78 held for 1.61 days, 0.68 qu<strong>in</strong>tals <strong>in</strong> wheat<br />

valued at Rs. 1389.04 held for 1.53 days, 0.07 qu<strong>in</strong>tals <strong>in</strong> chilli valued at Rs. 579.68 held for<br />

1.65 days and 0.06 qu<strong>in</strong>tals <strong>in</strong> mustard valued at Rs. 151.80 held for 5.74 days. Next to the<br />

f<strong>in</strong>ished product <strong>in</strong>ventory, most <strong>of</strong> the product was deta<strong>in</strong>ed at work <strong>in</strong> sales <strong>in</strong>ventory and<br />

raw material <strong>in</strong>ventory. The work <strong>in</strong> sales <strong>in</strong>ventory <strong>in</strong> rice was 1.17 qu<strong>in</strong>tals for 0.70 days, <strong>in</strong><br />

wheat was 0.68 qu<strong>in</strong>tals for 1.53 days, <strong>in</strong> green gram was 0.83 qu<strong>in</strong>tals for 1.61 days, <strong>in</strong> tur<br />

dal 0.22 qu<strong>in</strong>tals for 0.95 days, <strong>in</strong> chilli 0.02 qu<strong>in</strong>tals for 0.89 days and <strong>in</strong> mustard was 0.03<br />

qu<strong>in</strong>tals for 2.22 days. The storage period <strong>of</strong> work <strong>in</strong> process <strong>in</strong>ventory was low <strong>in</strong> most <strong>of</strong> the<br />

products that is 1.08 days <strong>in</strong> rice, 0.23 days <strong>in</strong> tur dal, 0.15 days <strong>in</strong> green gram, 0.08 days <strong>in</strong><br />

wheat, 0.06 days <strong>in</strong> mustard and 0.05 days <strong>in</strong> chilli. The packag<strong>in</strong>g material cost and labour<br />

charges for clean<strong>in</strong>g and pack<strong>in</strong>g were found to be the major cost components <strong>of</strong> <strong>in</strong>ventory<br />

management <strong>in</strong> all the commodities. However, these costs were Rs. 468.42 and Rs. 205.08 <strong>in</strong><br />

rice, Rs. 109.53 and Rs. 54.16 <strong>in</strong> tur dal and Rs. 45.85 <strong>in</strong> green gram, Rs. 92.37 and Rs.<br />

38.87 <strong>in</strong> wheat, Rs. 94.93 and Rs. 13.19 and Rs. 16.14 <strong>in</strong> chilli and Rs. 7.36 and Rs. 12.30 <strong>in</strong>


Table 4.22: Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Hubli-Dharwad Supermarkets<br />

Products Inventories<br />

Rice<br />

Wheat<br />

Green<br />

gram<br />

Tur dal<br />

Total<br />

Qty<br />

(Qtls)<br />

Value (Rs)<br />

No.<strong>of</strong><br />

Days<br />

Stored<br />

Interest<br />

@12.5%<br />

Shr<strong>in</strong>kage<br />

Cost components (Rs)<br />

Labour<br />

Charge<br />

(Clean<strong>in</strong>g<br />

and<br />

pack<strong>in</strong>g)<br />

Packag<strong>in</strong>g<br />

Material<br />

Cost<br />

TIC TIC/Qtl<br />

RMI 1.34 2232.00 1.13 0.86 22.32 -- -- 23.18 17.27<br />

WIPI 0.74 1237.40 0.85 0.36 12.37 23.33 -- 36.06 48.96<br />

FPI 4.58 7923.94 1.26 3.42 79.24 145.14 458.30 686.10 149.71<br />

WSI 0.64 1199.44 0.43 0.18 11.99 -- -- 12.17 19.07<br />

T <strong>in</strong>v 7.30 12685.58 3.67 4.82 125.93 168.47 458.30 757.51 103.77<br />

RMI 0.29 520.41 1.09 0.19 5.20 -- -- 5.40 18.94<br />

WIPI 0.17 304.43 0.58 0.06 3.04 8.25 -- 11.35 68.82<br />

FPI 0.81 1543.16 1.35 0.71 15.43 40.31 103.20 159.66 198.02<br />

WSI 0.24 514.80 0.65 0.11 5.15 -- -- 5.26 21.59<br />

T <strong>in</strong>v 1.50 2886.38 3.67 1.08 28.83 48.56 103.20 181.67 121.12<br />

RMI 0.21 857.82 1.18 0.35 17.16 -- -- 17.50 84.49<br />

WIPI 0.08 345.48 0.36 0.04 6.91 4.09 -- 11.04 135.02<br />

FPI 1.09 4753.61 1.60 2.60 95.07 54.51 116.66 268.85 246.59<br />

WSI 0.19 879.01 0.53 0.16 17.58 -- -- 17.74 92.98<br />

T <strong>in</strong>v 1.57 6803.20 3.67 3.15 136.72 58.60 116.66 315.13 200.72<br />

RMI 0.19 578.88 1.30 0.26 11.58 -- -- 11.84 62.15<br />

WIPI 0.11 337.54 0.52 0.06 6.75 5.44 -- 12.25 112.59<br />

FPI 0.95 3061.02 1.20 1.26 61.22 47.61 95.21 205.29 215.62<br />

WSI 0.17 578.67 0.65 0.13 11.57 -- -- 11.70 69.38<br />

T<strong>in</strong>v 1.42 4539.74 3.67 1.70 91.12 53.05 95.21 241.08 169.78<br />

Contd……


Chilli<br />

Mustard<br />

RMI<br />

WIPI<br />

FPI<br />

WSI<br />

T <strong>in</strong>v<br />

RMI<br />

WIPI<br />

FPI<br />

WSI<br />

T<strong>in</strong>v<br />

0.01 91.31 1.04 0.03 1.83 -- -- 1.86 138.08<br />

0.01 37.27 0.74 0.01 0.75 0.83 -- 1.58 293.50<br />

0.04 291.38 1.35 0.13 5.83 6.19 6.34 18.49 457.97<br />

0.01 82.52 0.54 0.02 1.65 -- -- 1.67 154.68<br />

0.07 500.19 3.67 0.19 10.05 7.02 6.34 23.60 337.14<br />

0.03 58.75 3.90 0.08 0.59 -- -- 0.67 26.64<br />

0.02 47.54 3.58 0.06 0.48 3.07 -- 3.60 180.01<br />

0.03 63.93 5.97 0.13 0.64 3.83 2.83 7.43 297.13<br />

0.02 57.08 1.55 0.03 0.57 -- -- 0.60 30.05<br />

0.09 228.11 15.00 0.30 2.27 6.90 2.83 12.30 136.62<br />

Note: RMI-Raw Material Inventory, WIPI- Work In Proces Inventory, FPI- F<strong>in</strong>ished Product Inventory, WSI- Work <strong>in</strong> Sales Inventories, T <strong>in</strong>v- Total<br />

<strong>in</strong>ventories, TIC- Total Inventory Cost


Table 4.23: Overall Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Supermarkets<br />

Products Inventories<br />

Rice<br />

Wheat<br />

Green<br />

gram<br />

Tur dal<br />

Total<br />

Qty<br />

(Qtls)<br />

Value (Rs)<br />

No.<strong>of</strong><br />

Days<br />

Stored<br />

Interest<br />

@12.5% Shr<strong>in</strong>kage<br />

Cost components (Rs)<br />

Labour<br />

Charge<br />

(Clean<strong>in</strong>g<br />

and<br />

pack<strong>in</strong>g)<br />

Cold<br />

storage<br />

Packag<strong>in</strong>g<br />

Material<br />

Cost<br />

TIC TIC/Qtl<br />

RMI 1.08 1798.94 1.28 0.76 17.99 -- -- -- 18.75 17.38<br />

WIPI 0.73 1221.16 1.08 0.44 12.21 30.60 -- -- 43.25 59.37<br />

FPI 4.15 7246.84 1.42 3.55 72.47 174.49 -- 468.42 718.92 173.44<br />

WSI 1.17 2256.61 0.70 0.63 22.57 -- -- -- 23.20 19.83<br />

T <strong>in</strong>v 7.12 12506.25 4.48 5.38 125.24 205.08 -- 468.42 804.12 112.91<br />

RMI 0.17 321.26 1.21 0.13 3.21 -- -- -- 3.34 19.99<br />

WIPI 0.10 192.97 0.75 0.05 1.93 5.05 -- -- 7.03 71.06<br />

FPI 0.68 1389.04 1.53 0.71 13.89 33.82 -- 92.37 140.78 206.46<br />

WSI 0.18 409.49 0.98 0.14 4.09 -- -- -- 4.23 22.99<br />

T <strong>in</strong>v 1.13 2310.22 4.47 1.02 23.13 38.87 -- 92.37 155.38 137.27<br />

RMI 0.30 1339.59 1.54 0.71 26.79 -- -- -- 27.50 92.86<br />

WIPI 0.10 457.71 0.57 0.08 9.15 5.00 -- -- 14.24 142.54<br />

FPI 0.83 3910.78 1.61 2.23 78.22 40.85 -- 94.93 216.22 260.03<br />

WSI 0.21 1076.57 1.13 0.39 21.53 -- -- -- 21.92 102.23<br />

T <strong>in</strong>v 1.44 6760.74 4.86 3.41 135.69 45.85 -- 94.93 279.88 194.09<br />

RMI 0.23 710.71 1.36 0.33 14.21 -- -- -- 14.54 64.62<br />

WIPI 0.14 470.03 0.69 0.11 9.40 7.13 -- -- 16.64 114.87<br />

FPI 0.96 3227.05 1.48 1.67 64.54 47.02 -- 109.53 222.76 231.83<br />

WSI 0.22 771.31 0.95 0.25 15.43 -- -- -- 15.67 72.84<br />

T<strong>in</strong>v 1.55 5160.54 4.49 2.35 103.58 54.16 -- 109.53 269.62 174.40<br />

Contd….


Chilli<br />

Mustard<br />

Tomato<br />

Onion<br />

Banana<br />

Apple<br />

RMI 0.03 213.03 1.30 0.09 4.65 -- -- -- 4.75 159.44<br />

WIPI 0.02 162.98 0.62 0.03 3.60 4.05 -- -- 7.68 346.02<br />

FPI 0.07 519.68 1.65 0.29 11.13 12.09 -- 13.19 36.70 537.80<br />

WSI 0.02 194.47 0.89 0.07 4.08 -- -- -- 4.15 174.34<br />

T <strong>in</strong>v 0.14 1089.57 4.45 0.48 23.46 16.14 -- 13.19 53.28 369.97<br />

RMI 0.02 52.39 3.32 0.06 0.56 -- -- -- 0.62 28.90<br />

WIPI 0.01 31.75 2.55 0.03 0.34 2.19 -- -- 2.56 198.41<br />

FPI 0.06 151.80 5.74 0.28 1.58 10.10 -- 7.36 19.34 345.24<br />

WSI 0.02 59.11 2.22 0.04 0.67 -- -- -- 0.71 36.20<br />

T<strong>in</strong>v 0.11 293.19 13.82 0.41 3.15 12.30 -- 7.36 23.23 211.15<br />

RMI 0.12 55.78 0.44 0.03 5.58 -- 5.28 -- 10.89 89.92<br />

WIPI 0.07 40.36 0.19 0.01 4.04 6.43 3.10 -- 13.58 189.96<br />

FPI 0.54 391.11 0.64 0.23 39.11 50.97 24.31 26.92 141.54 262.91<br />

WSI 0.11 109.43 0.33 0.03 10.94 -- -- -- 10.97 104.41<br />

T <strong>in</strong>v 0.84 572.59 1.60 0.29 59.67 57.40 32.70 26.92 176.98 211.70<br />

RMI 0.19 131.84 0.89 0.07 9.32 -- -- -- 9.39 50.01<br />

WIPI 0.15 116.28 0.40 0.03 8.56 12.86 -- -- 21.45 139.11<br />

FPI 0.70 632.28 1.04 0.38 49.33 59.25 -- 34.90 143.86 206.09<br />

WSI 0.22 219.99 0.41 0.05 12.69 -- -- -- 12.74 58.95<br />

T <strong>in</strong>v 1.26 1078.81 2.73 0.52 79.90 72.10 -- 34.90 187.43 149.23<br />

RMI 0.15 262.68 0.44 0.06 21.32 -- 6.15 -- 27.53 179.00<br />

WIPI 0.10 191.21 0.21 0.02 14.66 10.24 5.12 -- 30.05 293.36<br />

FPI 0.32 676.60 0.37 0.13 50.98 14.48 16.01 -- 81.59 254.89<br />

WSI 0.25 619.97 0.57 0.19 48.42 -- -- 16.50 65.10 256.66<br />

T <strong>in</strong>v 0.83 1694.37 1.60 0.41 135.38 24.72 27.28 16.50 204.28 246.12<br />

RMI 0.04 214.83 0.31 0.06 21.48 -- 1.98 -- 23.52 594.24<br />

WIPI 0.05 276.36 0.21 0.05 27.64 4.61 2.30 -- 34.60 750.86<br />

FPI 0.08 531.22 0.21 0.09 53.12 2.66 3.90 -- 59.77 766.44<br />

WSI 0.08 577.15 0.38 0.19 57.71 -- -- 5.73 63.63 833.40<br />

T <strong>in</strong>v 0.24 1548.57 1.12 0.39 159.96 7.27 8.18 5.73 181.52 756.35<br />

Note: RMI-Raw Material Inventory, WIPI- Work In Proces Inventory, FPI- F<strong>in</strong>ished Product Inventory, WSI- Work <strong>in</strong> Sales Inventories, T <strong>in</strong>v- Total<br />

<strong>in</strong>ventories, TIC- Total Inventory Cost


Table 4.24: Commodity-wise cost <strong>of</strong> <strong>in</strong>ventory and Prepar<strong>in</strong>g the Product for Sale <strong>in</strong> Supermarkets<br />

Products Cities<br />

Rice<br />

Wheat<br />

Green<br />

Gram<br />

Total<br />

Qty<br />

(Qtls)<br />

Value (Rs)<br />

No.<strong>of</strong><br />

Days<br />

Stored<br />

Interest<br />

@12.5% Shr<strong>in</strong>kage<br />

Labour<br />

Charge<br />

(Clean<strong>in</strong>g<br />

and<br />

pack<strong>in</strong>g)<br />

Cost components (Rs)<br />

Cold<br />

storage<br />

Packag<strong>in</strong>g<br />

Material<br />

Cost<br />

TIC TIC/Qtl<br />

Bangalore 10.64 19535.04 4.67 8.70 195.56 385.51 -- 867.39 1457.16 136.95<br />

Mysore 7.48 13136.75 4.00 4.67 133.48 201.03 -- 357.92 697.10 93.19<br />

Mangalore 7.00 11900.00 5.67 6.56 118.73 175.44 -- 445.54 746.28 106.61<br />

Belgaum 3.19 5273.87 4.39 2.16 52.48 94.98 -- 212.94 362.56 113.65<br />

Hubli-<br />

Dharwad 7.30 12685.58 3.67 4.82 125.93 168.47 -- 458.30 757.51 103.77<br />

Average 7.12 12506.25 4.48 5.38 125.24 205.08 - 468.42 804.12 110.84<br />

Bangalore 1.84 3983.60 4.67 1.89 39.68 72.96 - 202.08 316.61 172.07<br />

Mysore 1.03 2125.66 4.00 0.82 21.58 29.52 -- 54.38 106.31 103.21<br />

Mangalore 0.44 933.46 5.67 0.53 9.33 18.55 -- 31.82 60.22 136.87<br />

Belgaum 0.85 1622.01 4.33 0.77 16.22 24.78 -- 70.34 112.10 131.88<br />

Hubli-<br />

Dharwad 1.50 2886.38 3.67 1.08 28.83 48.56 -- 103.20 181.67 121.12<br />

Average 1.13 2310.22 4.47 1.02 23.13 38.87 - 92.37 155.38 133.03<br />

Bangalore 2.38 11555.50 4.67 5.89 229.30 72.82 - 171.84 479.84 201.61<br />

Mysore 1.58 7668.14 4.00 3.08 155.25 45.29 -- 74.95 278.57 176.31<br />

Mangalore 0.99 4731.21 5.67 2.76 95.97 31.58 -- 63.01 193.31 195.27<br />

Belgaum 0.69 3045.66 4.33 1.25 61.24 20.95 -- 48.21 131.65 190.79<br />

Hubli-<br />

Dharwad 1.57 6803.20 3.67 3.15 136.72 58.60 -- 116.66 315.13 200.72<br />

Average 1.44 6760.74 4.47 3.23 135.69 45.85 - 94.93 279.70 192.94<br />

Contd…..


Tur Dal<br />

Chilli<br />

Mustard<br />

Tomato<br />

Bangalore 2.77 9597.36 4.67 4.77 191.74 111.27 - 249.77 557.56 201.28<br />

Mysore 1.38 4707.18 4.00 1.79 95.48 39.56 -- 65.46 202.29 146.59<br />

Mangalore 1.20 3906.60 5.67 2.20 78.29 38.28 -- 76.38 195.14 162.62<br />

Belgaum 0.96 3051.84 4.42 1.30 61.28 28.64 -- 60.81 152.03 158.36<br />

Hubli-<br />

Dharwad 1.42 4539.74 3.67 1.70 91.12 53.05 -- 95.21 241.08 169.78<br />

Average 1.55 5160.54 4.49 2.35 103.58 54.16 - 109.53 269.62 167.73<br />

Bangalore 0.33 2539.35 4.33 1.04 58.64 40.85 -- 29.45 129.98 393.87<br />

Mysore 0.16 1230.88 4.00 0.48 25.00 14.76 -- 13.46 53.71 335.71<br />

Mangalore 0.12 891.18 5.94 0.56 17.89 14.58 -- 13.26 46.29 385.78<br />

Belgaum 0.04 286.25 4.33 0.13 5.74 3.49 -- 3.43 12.80 319.89<br />

Hubli-<br />

Dharwad 0.07 500.19 3.67 0.19 10.05 7.02 -- 6.34 23.60 337.14<br />

Average 0.14 1089.57 4.45 0.48 23.46 16.14 - 13.19 53.28 354.48<br />

Bangalore 0.24 656.28 11.24 0.92 6.55 33.78 - 19.69 60.94 253.90<br />

Mysore 0.12 325.65 15.00 0.48 3.34 11.07 -- 8.32 23.21 193.43<br />

Mangalore 0.06 156.48 12.87 0.22 1.57 7.27 -- 3.82 12.88 214.70<br />

Belgaum 0.04 99.43 15.00 0.14 2.04 2.46 -- 2.17 6.81 170.22<br />

Hubli-<br />

Dharwad 0.09 228.11 15.00 0.30 2.27 6.90 -- 2.83 12.30 136.62<br />

Average 0.11 293.19 13.82 0.41 3.15 12.30 - 7.36 23.23 193.77<br />

Bangalore 2.93 1874.47 3.00 0.88 193.23 231.16 135.99 105.07 666.33 227.42<br />

Mysore 0.80 631.40 2.00 0.14 68.72 32.25 27.50 16.50 145.11 181.39<br />

Mangalore 0.45 357.08 3.00 0.45 36.40 23.58 -- 13.02 73.45 163.21<br />

Average 1.39 954.31 2.67 0.49 99.45 95.66 81.75 44.86 294.96 190.67<br />

Contd…..


Onion<br />

Banana<br />

Apple<br />

Note: TIC- Total Inventory Cost<br />

Bangalore 2.68 2488.38 4.67 1.39 248.83 202.10 0.00 91.12 543.44 202.78<br />

Mysore 2.50 1980.00 4.00 0.72 103.82 100.78 -- 51.56 256.88 102.75<br />

Mangalore 1.10 925.65 5.00 0.50 46.86 57.64 -- 31.82 136.83 124.39<br />

Average 2.09 1798.01 4.56 0.87 133.17 120.17 - 58.17 312.38 143.31<br />

Bangalore 1.25 2805.63 3.00 0.82 293.18 40.57 36.87 38.44 409.88 327.91<br />

Mysore 2.00 3814.00 2.00 0.76 198.35 25.00 68.75 37.50 330.37 165.18<br />

Mangalore 0.90 1852.20 3.00 0.45 185.35 58.04 -- 6.53 281.13 312.36<br />

Average 1.38 2823.94 2.67 0.68 225.63 41.20 52.81 27.49 340.46 268.49<br />

Bangalore 0.60 3819.60 3.60 1.26 390.76 28.83 20.29 14.57 455.71 759.51<br />

Mysore 0.60 3923.25 2.00 0.71 409.02 7.50 20.63 14.06 451.91 753.19<br />

Average 0.60 3871.43 2.80 0.98 399.89 18.17 20.46 14.32 453.81 756.35


Table 4.25: Average City-wise Costs <strong>of</strong> Inventory and Prepar<strong>in</strong>g the Products for Sale <strong>in</strong> Supermarkets<br />

Cities Products<br />

Bangalore<br />

Mysore<br />

Total<br />

Qty<br />

(Qtls)<br />

Value (Rs)<br />

No.<strong>of</strong><br />

Days<br />

Stored<br />

Interest<br />

@12.5% Shr<strong>in</strong>kage<br />

Labour<br />

Charge<br />

(Clean<strong>in</strong>g<br />

and<br />

pack<strong>in</strong>g)<br />

Cost components (Rs)<br />

Cold<br />

storage<br />

Packag<strong>in</strong>g<br />

Material<br />

Cost<br />

TIC TIC/Qtl<br />

Rice 10.64 19535.04 4.67 8.70 195.56 385.51 - 867.39 1457.16 136.95<br />

Wheat 1.84 3983.60 4.67 1.89 39.68 72.96 -- 202.08 316.61 172.07<br />

Green Gram 2.38 11555.50 4.67 5.89 229.30 72.82 -- 171.84 479.84 201.61<br />

Tur Dal 2.77 9597.36 4.67 4.77 191.74 111.27 -- 249.77 557.56 201.28<br />

Chilli 0.33 2539.35 4.33 1.04 58.64 40.85 -- 29.45 129.98 393.87<br />

Mustard 0.24 656.28 11.24 0.92 6.55 33.78 -- 19.69 60.94 253.90<br />

Tomato 2.93 1874.47 3.00 0.88 193.23 231.16 135.99 105.07 666.33 227.42<br />

Onion 2.68 2488.38 4.67 1.39 248.83 202.10 -- 91.12 543.44 202.78<br />

Banana 1.25 2805.63 3.00 0.82 293.18 40.57 36.87 38.44 409.88 327.91<br />

Apple 0.60 3819.60 3.60 1.26 390.76 28.83 20.29 14.57 455.71 759.51<br />

Total 25.66 58855.20 4.85 27.56 1847.46 1219.85 193.15 1789.43 5077.45 2877.30<br />

Rice 7.48 13136.75 4.00 4.67 133.48 201.03 - 357.92 697.10 93.19<br />

Wheat 1.03 2125.66 4.00 0.82 21.58 29.52 -- 54.38 106.31 103.21<br />

Green Gram 1.58 7668.14 4.00 3.08 155.25 45.29 -- 74.95 278.57 176.31<br />

Tur Dal 1.38 4707.18 4.00 1.79 95.48 39.56 -- 65.46 202.29 146.59<br />

Chilli 0.16 1230.88 4.00 0.48 25.00 14.76 -- 13.46 53.71 335.71<br />

Mustard 0.12 325.65 15.00 0.48 3.34 11.07 -- 8.32 23.21 193.43<br />

Tomato 0.80 631.40 2.00 0.14 68.72 32.25 27.50 16.50 145.11 181.39<br />

Onion 2.50 1980.00 4.00 0.72 103.82 100.78 -- 51.56 256.88 102.75<br />

Banana 2.00 3814.00 2.00 0.76 198.35 25.00 68.75 37.50 330.37 165.18<br />

Apple 0.60 3923.25 2.00 0.71 409.02 7.50 20.63 14.06 451.91 753.19<br />

Total 17.65 39542.91 4.50 13.66 1214.04 506.77 116.88 694.12 2545.46 2250.96<br />

Contd…..


Mangalore<br />

Belgaum<br />

Hubli-<br />

Dharwad<br />

Rice 7.00 11900.00 5.67 6.56 118.73 175.44 - 445.54 746.28 106.61<br />

Note: TIC- Total Inventory Cost<br />

Wheat 0.44 933.46 5.67 0.53 9.33 18.55 -- 31.82 60.22 136.87<br />

Green Gram 0.99 4731.21 5.67 2.76 95.97 31.58 -- 63.01 193.31 195.27<br />

Tur Dal 1.20 3906.60 5.67 2.20 78.29 38.28 -- 76.38 195.14 162.62<br />

Chilli 0.12 891.18 5.94 0.56 17.89 14.58 -- 13.26 46.29 385.78<br />

Mustard 0.06 156.48 12.87 0.22 1.57 7.27 -- 3.82 12.88 214.70<br />

Tomato 0.45 357.08 3.00 0.45 36.40 23.58 -- 13.02 73.45 163.21<br />

Onion 1.10 925.65 5.00 0.50 46.86 57.64 -- 31.82 136.83 124.39<br />

Banana 0.90 1852.20 3.00 0.45 185.35 58.04 -- 6.53 281.13 312.36<br />

Total 12.26 25653.86 5.83 14.24 590.38 424.95 0.00 685.22 1745.54 1801.82<br />

Rice 3.19 5273.87 4.39 2.16 52.48 94.98 - 212.94 362.56 113.65<br />

Wheat 0.85 1622.01 4.33 0.77 16.22 24.78 -- 70.34 112.10 131.88<br />

Green Gram 0.69 3045.66 4.33 1.25 61.24 20.95 -- 48.21 131.65 190.79<br />

Tur Dal 0.96 3051.84 4.42 1.30 61.28 28.64 -- 60.81 152.03 158.36<br />

Chilli 0.04 286.25 4.33 0.13 5.74 3.49 -- 3.43 12.80 319.89<br />

Mustard 0.04 99.43 15.00 0.14 2.04 2.46 -- 2.17 6.81 170.22<br />

Total 5.77 13379.06 6.13 5.75 198.99 175.30 0.00 397.90 777.94 1084.80<br />

Rice 7.30 12685.58 3.67 4.82 125.93 168.47 - 458.30 757.51 103.77<br />

Wheat 1.50 2886.38 3.67 1.08 28.83 48.56 -- 103.20 181.67 121.12<br />

Green Gram 1.57 6803.20 3.67 3.15 136.72 58.60 -- 116.66 315.13 200.72<br />

Tur Dal 1.42 4539.74 3.67 1.70 91.12 53.05 -- 95.21 241.08 169.78<br />

Chilli 0.07 500.19 3.67 0.19 10.05 7.02 -- 6.34 23.60 337.14<br />

Mustard 0.09 228.11 15.00 0.30 2.27 6.90 -- 2.83 12.30 136.62<br />

Total 11.95 27643.18 5.56 11.25 394.92 342.60 0.00 782.53 1531.30 1069.14


mustard. The m<strong>in</strong>or costs <strong>in</strong>clude <strong>in</strong>terest on work<strong>in</strong>g capital at the rate <strong>of</strong> 12.5 per cent and<br />

shr<strong>in</strong>kage/ wastage <strong>of</strong> the product. The shr<strong>in</strong>kage costs were Rs. 135. 69 <strong>in</strong> green gram, Rs.<br />

125.24 <strong>in</strong> rice, Rs. 103.58 <strong>in</strong> tur dal, Rs. 23.46 <strong>in</strong> chilli, Rs 33.13 <strong>in</strong> wheat and Rs. 7.36 <strong>in</strong><br />

mustard. At an average, the total <strong>in</strong>ventory cost per qu<strong>in</strong>tal was more <strong>in</strong> chilli (Rs. 369.97)<br />

followed by mustard (Rs. 211.15), green gram (Rs. 194.09), tur dal (Rs. 174.40), wheat (Rs.<br />

137.27) and rice (Rs. 112.91).<br />

With respect to fruits and vegetables, the quantity <strong>of</strong> <strong>in</strong>ventories ma<strong>in</strong>ta<strong>in</strong>ed and their<br />

values were high <strong>in</strong> onion (1.26 qu<strong>in</strong>tals valued at Rs. 1078.81) and low <strong>in</strong> apple (0.24<br />

qu<strong>in</strong>tals valued at Rs. 1548.97). The other commodities such as tomato were 0.84 qu<strong>in</strong>tals<br />

valued at Rs. 572.59 and banana was 0.83 qu<strong>in</strong>tals valued at Rs. 1694.37. As <strong>in</strong> the case <strong>of</strong><br />

groceries, the f<strong>in</strong>ished product <strong>in</strong>ventories found to be ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> highest quantity and for<br />

long period <strong>in</strong> onion(0.67 qu<strong>in</strong>tals for 1.04 days) and tomato (0.54 qu<strong>in</strong>tals for 0.64 days) but<br />

the raw material <strong>in</strong>ventory was also found maximum <strong>in</strong> onion (0.19 qu<strong>in</strong>tals for 0.89 days) and<br />

apple (0.24 qu<strong>in</strong>tals for 1.12 days). In different <strong>in</strong>ventory cost components, shr<strong>in</strong>kage<br />

perceived to be the highest cost <strong>in</strong> apple (Rs. 159.96) followed by banana (Rs. 135.38), onion<br />

(Rs. 79.90) and tomato (Rs. 59.67). The cold storage cost was Rs. 32.70 <strong>in</strong> tomato, Rs. 27.28<br />

<strong>in</strong> banana and Rs. 8.18 <strong>in</strong> apple. Cold storage was not used for onion. However, the total<br />

<strong>in</strong>ventory cost per qu<strong>in</strong>tal was <strong>in</strong> descend<strong>in</strong>g order <strong>in</strong> case <strong>of</strong> apple (Rs. 756.35), banana (Rs.<br />

246.12), tomato (Rs. 211.70) and onion (Rs. 149.23).<br />

The commodity-wise costs <strong>of</strong> <strong>in</strong>ventory and prepar<strong>in</strong>g the products for sale across<br />

cities <strong>in</strong> Karnataka are shown <strong>in</strong> Table 4.24. It was observed from the study that on an<br />

average rice (7.12 qu<strong>in</strong>tals) was the major commodity among groceries procured and stored<br />

<strong>in</strong> <strong>supermarket</strong>s across the state which is followed by tur dal (1.55 qu<strong>in</strong>tals), green gram (1.44<br />

qu<strong>in</strong>tals), wheat (1.13 qu<strong>in</strong>tals), chilli (0.14 qu<strong>in</strong>tals) and mustard (0.11 qu<strong>in</strong>tals). In<br />

accordance with the quantity, the value was also found to be high <strong>in</strong> the same order that is<br />

Rs. 12,506.25 <strong>in</strong> rice subsequently Rs. 5,160.54 <strong>in</strong> tur dal, Rs. 6,760.74 <strong>in</strong> green gram, Rs.<br />

2,310.22 <strong>in</strong> wheat, Rs. 1,089.57 <strong>in</strong> chilli and Rs. 293.19 <strong>in</strong> mustard. With respect to the<br />

<strong>in</strong>ventory cost components the packag<strong>in</strong>g material, labour charges, shr<strong>in</strong>kage and cold<br />

storage were <strong>in</strong> their descend<strong>in</strong>g orders. The cost <strong>of</strong> packag<strong>in</strong>g was maximum <strong>in</strong> rice (Rs.<br />

468.42) and the least <strong>in</strong> mustard (Rs. 13.19). How ever, the unit <strong>in</strong>ventory cost was as high as<br />

Rs. 354.48 <strong>in</strong> chilli followed by mustard (Rs. 193.77), green gram (Rs. 192.94), tur al (Rs.<br />

167.73), wheat (Rs. 133.03) and rice (Rs. 110.84).<br />

In fruits and vegetables category, the average quantity <strong>in</strong>ventory ma<strong>in</strong>ta<strong>in</strong>ed was high<br />

<strong>in</strong> onion (23.09 qu<strong>in</strong>tals) and the next were tomato (1.39 qu<strong>in</strong>tals), banana (1.38 qu<strong>in</strong>tals) and<br />

apple (0.60 qu<strong>in</strong>tals). The respective costs were Rs. 1798.01, Rs. 954.31, Rs. 2823.94 and<br />

Rs. 3871.43. Here shr<strong>in</strong>kage was found to be major <strong>in</strong>ventory cost element which accounted<br />

for Rs. 399.89 <strong>in</strong> apple, Rs. 225.63 <strong>in</strong> banana, Rs. 133.17 <strong>in</strong> onion and Rs. 99.45 <strong>in</strong> tomato.<br />

Similarly, the packag<strong>in</strong>g material cost was 58.17 <strong>in</strong> onion, Rs. 44.86 <strong>in</strong> tomato, Rs. 27.49 <strong>in</strong><br />

banana and Rs. 14.32 <strong>in</strong> apple. However, the total <strong>in</strong>ventory cost per qu<strong>in</strong>tal was highest <strong>in</strong><br />

apple (Rs. 756.35) followed by Rs. 268.49 <strong>in</strong> banana, Rs. 190.67 <strong>in</strong> tomato and Rs. 143.31 <strong>in</strong><br />

onion.<br />

The city-wise costs <strong>of</strong> <strong>in</strong>ventory and prepar<strong>in</strong>g the product for sale are elucidated <strong>in</strong><br />

Table 4.25. Even though, the average quantity <strong>of</strong> <strong>in</strong>ventory ma<strong>in</strong>ta<strong>in</strong>ed was high <strong>in</strong> Bangalore<br />

(25.66 qu<strong>in</strong>tals) followed by Mysore (17.65 qu<strong>in</strong>tals), Mangalore (12.26 qu<strong>in</strong>tals), Hubli-<br />

Dharwad (11.95 qu<strong>in</strong>tals) and Belgaum (5.77 qu<strong>in</strong>tals), the average <strong>in</strong>ventory period was<br />

highest (6.13 days) <strong>in</strong> Belgaum followed by Mangalore (5.83 days), Hubli-Dharwad (5.56<br />

days), Bangalore (4.85 days) and Mysore (4.50 days). Among different commodities, the<br />

quantity stored <strong>in</strong> onion was maximum (10.64 qu<strong>in</strong>tals <strong>in</strong> Bangalore, 7.48 qu<strong>in</strong>tals <strong>in</strong> Mysore<br />

and 7.00 qu<strong>in</strong>tals <strong>in</strong> Mangalore) <strong>in</strong> all the cities and m<strong>in</strong>imum <strong>in</strong> chilli (0.33 qu<strong>in</strong>tals <strong>in</strong><br />

Bangalore, 0.16 qu<strong>in</strong>tals <strong>in</strong> Mysore, 0.12 qu<strong>in</strong>tals <strong>in</strong> Mangalore, 0.04 qu<strong>in</strong>tals <strong>in</strong> Belgaum and<br />

0.07 qu<strong>in</strong>tals <strong>in</strong> Hubli-Dharwad). The respective values were maximum and m<strong>in</strong>imum as the<br />

case may be. With respect to cost components, packag<strong>in</strong>g costs were found to be the prime<br />

constituent, on an average it accounts for Rs. 1789.43 <strong>in</strong> Bangalore followed by Rs. 694.00 <strong>in</strong><br />

Mysore, Rs. 685.22 <strong>in</strong> Mangalore, Rs. 982.33 <strong>in</strong> Hubli-Dharwad and Rs. 397.90 <strong>in</strong> Belgaum.<br />

The cold storages were nil <strong>in</strong> Mangalore, Belgaum and Hubli-Dharwad but seen only <strong>in</strong> case<br />

<strong>of</strong> tomato, banana and apple <strong>in</strong> Bangalore and Mysore. However, the total <strong>in</strong>ventory cost per<br />

unit was more <strong>in</strong> case <strong>of</strong> chilli (Rs. 394.87 <strong>in</strong> Bangalore, Rs. 335.71 <strong>in</strong> Mysore, Rs. 385.78 <strong>in</strong><br />

Mangalore, Rs. 319.89 <strong>in</strong> Belgaum and Rs. 337.14 <strong>in</strong> Hubli-Dharwad).


4.6 PROCESSING / VALUE ADDITION IN SUPERMARKETS<br />

Process<strong>in</strong>g <strong>in</strong> the <strong>supermarket</strong>s is the removal <strong>of</strong> <strong>in</strong>ert materials, other crop seeds<br />

and undersized seeds from the raw materials <strong>in</strong> case <strong>of</strong> groceries whereas, it is clean<strong>in</strong>g and<br />

grad<strong>in</strong>g <strong>of</strong> products <strong>in</strong> fruits and vegetables. Generally, these activities are done through<br />

mechanical means.<br />

4.6.1 Extent <strong>of</strong> activities undertaken <strong>in</strong> preparation <strong>of</strong> the products for sale <strong>in</strong><br />

<strong>supermarket</strong>s<br />

The steps or stages identified <strong>in</strong> the process<strong>in</strong>g <strong>of</strong> commodities by the <strong>supermarket</strong>s<br />

are as follows.<br />

Stage I: Clean<strong>in</strong>g<br />

Stage II: Grad<strong>in</strong>g<br />

Stage III: Bagg<strong>in</strong>g<br />

Stage IV: Label<strong>in</strong>g and Stick<strong>in</strong>g<br />

Condition<strong>in</strong>g was not observed <strong>in</strong> any <strong>supermarket</strong>s <strong>in</strong> the study area. The extent <strong>of</strong><br />

activities undertaken <strong>in</strong> preparation <strong>of</strong> the products for sale <strong>in</strong> <strong>supermarket</strong>s is shown <strong>in</strong> Table<br />

4.26.<br />

It is revealed from the table that <strong>in</strong> the entire groceries cent per cent <strong>of</strong> clean<strong>in</strong>g,<br />

bagg<strong>in</strong>g and label<strong>in</strong>g and stick<strong>in</strong>g were undertaken by all the <strong>supermarket</strong>s. However, grad<strong>in</strong>g<br />

was observed <strong>in</strong> 66.67 per cent <strong>of</strong> Bangalore <strong>supermarket</strong>s but it was not seen <strong>in</strong> Belgaum<br />

<strong>supermarket</strong>s. In overall, it represents that cent per cent <strong>of</strong> the <strong>supermarket</strong>s followed<br />

clean<strong>in</strong>g, bagg<strong>in</strong>g and label<strong>in</strong>g and stick<strong>in</strong>g activities and 26.67 per cent <strong>of</strong> them undertaken<br />

grad<strong>in</strong>g activities across cities <strong>in</strong> the state.<br />

In fruits and vegetables clean<strong>in</strong>g activity was observed <strong>in</strong> all the <strong>supermarket</strong>s, which<br />

are deal<strong>in</strong>g with these products but cent per cent grad<strong>in</strong>g, bagg<strong>in</strong>g and label<strong>in</strong>g and stick<strong>in</strong>g<br />

were identified only <strong>in</strong> Bangalore <strong>supermarket</strong>s. At an overall, it accounts 100 per cent <strong>of</strong> the<br />

<strong>supermarket</strong>s carried out clean<strong>in</strong>g activity and 33.33 per cent each followed grad<strong>in</strong>g, bagg<strong>in</strong>g<br />

and label<strong>in</strong>g and stick<strong>in</strong>g activities <strong>in</strong> the state.<br />

4.6.2 Value addition <strong>in</strong> <strong>supermarket</strong>s for the selected products<br />

Value addition as a result <strong>of</strong> process<strong>in</strong>g dur<strong>in</strong>g the resale <strong>of</strong> commodities for the<br />

selected <strong>supermarket</strong>s across the state is presented <strong>in</strong> Table 4.27.<br />

It is observed from the Table that <strong>in</strong> Bangalore <strong>supermarket</strong>s, the average value<br />

added <strong>in</strong> case <strong>of</strong> groceries was maximum <strong>in</strong> wheat (31.33 per cent). This is followed by rice<br />

(30.59 per cent), mustard (28.05 per cent), tur dal (23.45 per cent), green gram (19.94 per<br />

cent) and chilli (17.52 per cent). In Mysore <strong>supermarket</strong>s, the per cent value addition was<br />

highest <strong>in</strong> mustard (26.47 per cent) followed by wheat (24.23 per cent), rice (22.86 per cent),<br />

tur dal (19.67 per cent), green gram (15.97 per cent) and chilli (15.45 per cent). Similarly, <strong>in</strong><br />

Mangalore the value added was more <strong>in</strong> mustard (28.16 per cent) followed by rice (27.72 per<br />

cent), wheat (27.14per cent), tur dal (18.00 per cent), chilli (16.82 per cent) and green gram<br />

(16.04 per cent). As <strong>in</strong>case <strong>of</strong> others, the per cent <strong>of</strong> value addition <strong>in</strong> mustard was found to<br />

be high (29.17per cent) <strong>in</strong> case <strong>of</strong> Belgaum <strong>supermarket</strong>s. It was 26.07 per cent, 24.83 per<br />

cent, 20.27 per cent, 16.05 per cent and 15.50 per cent <strong>in</strong> other commodities such as wheat,<br />

rice, green gram, tur dal and chilli respectively. Further, <strong>in</strong> the <strong>supermarket</strong>s <strong>of</strong> Hubli-<br />

Dharwad, the value addition was found to be 26.56per cent, <strong>in</strong> mustard, 26.17 per cent <strong>in</strong><br />

wheat, 24.85 per cent <strong>in</strong> rice, 20.32 per cent <strong>in</strong> green gram, 18.58 per cent <strong>in</strong> tur dal and<br />

15.21 per cent <strong>in</strong> chilli.<br />

On the other hand, <strong>in</strong> fruits and vegetable category the per cent value addition <strong>in</strong><br />

Bangalore super markets was found to be highest <strong>in</strong> tomato (64.78 per cent) as aga<strong>in</strong>st 20.65<br />

per cent <strong>in</strong> apple. Similarly, it was 41.73 per cent <strong>in</strong> onion and 28.00 per cent <strong>in</strong> banana. The<br />

<strong>in</strong>dicated percentage <strong>of</strong> value addition <strong>in</strong> Mysore <strong>supermarket</strong>s were 45 per cent <strong>in</strong> tomato,<br />

39.09 per cent <strong>in</strong> onion, 25.00 per cent <strong>in</strong> banana and 21.14 per cent <strong>in</strong> apple. In respect <strong>of</strong><br />

Mangalore too, the value addition was maximum <strong>in</strong> tomato where<strong>in</strong> the percentage value


Table 4.26: Extent <strong>of</strong> Activities Undertaken <strong>in</strong> Preparation <strong>of</strong> the Product for Sale <strong>in</strong> Supermarkets<br />

Groceries<br />

(No. <strong>of</strong> respondents)<br />

Clean<strong>in</strong>g Grad<strong>in</strong>g Bagg<strong>in</strong>g Label & stick<strong>in</strong>g<br />

Bangalore 3 (100) 2 (66.67) 3 (100) 3 (100)<br />

Mysore 3 (100) 1 (33.33) 3 (100) 3 (100)<br />

Mangalore 3 (100) 1 (33.33) 3 (100) 3 (100)<br />

Belgaum 3 (100) - 3 (100) 3 (100)<br />

Hubli-Dharwad 3 (100) - 3 (100) 3 (100)<br />

Overall 15 (100) 4 (26.67) 3 (100) 3 (100)<br />

Fruits & Vegetables<br />

Bangalore 3 (100) 3 (100) 3 (100) 3 (100)<br />

Mysore 3 (100) - - -<br />

Mangalore 3 (100) - - -<br />

Belgaum - - - -<br />

Hubli-Dharwad - - - -<br />

Overall 9 (100.00) 3 (33.33) 3 (33.33) 3 (33.33)<br />

Note:Hubli-Dharwad and Belgaum <strong>supermarket</strong>s are not deal<strong>in</strong>g with fruits and vegetables, (Figures <strong>in</strong> the paranthesis <strong>in</strong>dicates<br />

percentages to the <strong>supermarket</strong>s at each cities)


Table 4.27: Value Addition <strong>in</strong> Supermarkets for the Selected Products<br />

Products Particulars Bangalore Mysore Mangalore<br />

Rice<br />

Wheat<br />

Green<br />

Gram<br />

Tur Dal<br />

Chilli<br />

Hubli-<br />

Dharwad<br />

(Rs/Kg)<br />

Belgaum Overall<br />

Sale value <strong>of</strong> Product Obta<strong>in</strong>ed 25.00 22.00 22.00 22.00 21.00 22.40<br />

Purchase value <strong>of</strong> the product 17.35 16.97 15.90 16.53 15.78 16.51<br />

Value Added 7.65 5.03 6.10 5.47 5.22 5.89<br />

Percentage <strong>of</strong> value Added 30.59 22.86 27.72 24.85 24.83 26.17<br />

Sale value <strong>of</strong> Product Obta<strong>in</strong>ed 23.00 20.50 21.00 20.00 19.50 20.80<br />

Purchase value <strong>of</strong> the product 15.79 15.53 15.30 14.77 14.42 15.16<br />

Value Added 7.21 4.97 5.70 5.23 5.08 5.64<br />

Percentage <strong>of</strong> value Added 31.33 24.23 27.14 26.17 26.07 26.99<br />

Sale value <strong>of</strong> Product Obta<strong>in</strong>ed 58.00 55.00 53.00 52.00 50.00 53.60<br />

Purchase value <strong>of</strong> the product 46.43 46.43 44.50 41.43 42.25 44.21<br />

Value Added 11.57 8.58 8.50 10.57 7.75 9.39<br />

Percentage <strong>of</strong> value Added 19.94 15.59 16.04 20.32 15.50 17.48<br />

Sale value <strong>of</strong> Product Obta<strong>in</strong>ed 42.00 40.00 38.00 37.50 37.00 38.90<br />

Purchase value <strong>of</strong> the product 32.15 32.13 31.16 30.53 29.50 31.10<br />

Value Added 9.85 7.87 6.84 6.97 7.50 7.81<br />

Percentage <strong>of</strong> value Added 23.45 19.67 18.00 18.58 20.27 19.99<br />

Sale value <strong>of</strong> Product Obta<strong>in</strong>ed 88.00 86.00 84.00 80.00 81.00 83.80<br />

Purchase value <strong>of</strong> the product 72.58 72.72 69.86 67.83 68.00 70.20<br />

Value Added 15.42 13.28 14.14 12.17 13.00 13.60<br />

Percentage <strong>of</strong> value Added 17.52 15.45 16.84 15.21 16.05 16.21<br />

Contd…….


Mustard<br />

Tomato<br />

Onion<br />

Banana<br />

Apple<br />

Sale value <strong>of</strong> Product Obta<strong>in</strong>ed 35.00 34.00 33.50 32.00 32.00 33.30<br />

Purchase value <strong>of</strong> the product 25.18 25.00 24.07 23.50 22.67 24.08<br />

Value Added 9.82 9.00 9.43 8.50 9.33 9.22<br />

Percentage <strong>of</strong> value Added 28.05 26.47 28.16 26.56 29.17 27.68<br />

Sale value <strong>of</strong> Product Obta<strong>in</strong>ed 11.50 10.00 10.00 -- -- 10.50<br />

Purchase value <strong>of</strong> the product 4.05 5.50 6.22 -- -- 5.26<br />

Value Added 7.45 4.50 3.78 -- -- 5.24<br />

Percentage <strong>of</strong> value Added 64.78 45.00 37.83 -- -- 49.21<br />

Sale value <strong>of</strong> Product Obta<strong>in</strong>ed 12.50 11.00 11.00 -- -- 11.50<br />

Purchase value <strong>of</strong> the product 7.28 6.70 7.15 -- -- 7.04<br />

Value Added 5.22 4.30 3.85 -- -- 4.46<br />

Percentage <strong>of</strong> value Added 41.73 39.09 35.00 -- -- 38.61<br />

Sale value <strong>of</strong> Product Obta<strong>in</strong>ed 25.00 22.00 23.00 -- -- 23.33<br />

Purchase value <strong>of</strong> the product 18.00 16.50 16.33 -- -- 16.94<br />

Value Added 7.00 5.50 6.67 -- -- 6.39<br />

Percentage <strong>of</strong> value Added 28.00 25.00 28.99 -- -- 27.33<br />

Sale value <strong>of</strong> Product Obta<strong>in</strong>ed 71.00 70.00 -- -- -- 70.50<br />

Purchase value <strong>of</strong> the product 53.50 55.20 -- -- -- 54.35<br />

Value Added 17.50 14.80 -- -- -- 16.15<br />

Percentage <strong>of</strong> value Added 24.65 21.14 -- -- -- 22.90


added was 37.83 per cent. The banana and apple occupied 35.00per cent and 28.99 per cent<br />

accord<strong>in</strong>gly.<br />

On the overall <strong>supermarket</strong>s, the greatest per cent <strong>of</strong> value addition was found <strong>in</strong><br />

mustard (27.68 per cent) among groceries and tomato (49.21per cent) <strong>in</strong> fruits and<br />

vegetables. The value addition <strong>in</strong> other commodities were <strong>in</strong> the descend<strong>in</strong>g order <strong>of</strong> 26.99<br />

per cent, 26.17 per cent, 19.99 per cent, 17.48per cent, and 16.21 per cent <strong>in</strong> wheat, rice, tur<br />

dal, green gram and chilli, and 38.61 per cent, 27.33per cent and 22.90 per cent <strong>in</strong> onion,<br />

banana and apple. However, out <strong>of</strong> the selected cities the maximum value addition <strong>in</strong> both<br />

groceries and fruits and vegetables were found <strong>in</strong> Bangalore.<br />

4.7 FINANCIAL MANAGEMENT IN SUPERMARKETS<br />

F<strong>in</strong>ancial performance refers to any company’s ability to generate new resources,<br />

from day to day operations, over a given period <strong>of</strong> time. The f<strong>in</strong>ancial ratio represents the<br />

relationship between two account<strong>in</strong>g figures expressed mathematically. In f<strong>in</strong>ancial analysis,<br />

a ratio is used as an <strong>in</strong>dex or yardstick for evaluat<strong>in</strong>g the f<strong>in</strong>ancial performance or status <strong>of</strong><br />

any <strong>in</strong>stitution aga<strong>in</strong>st certa<strong>in</strong> standards. Ratio analysis technique is popular <strong>in</strong> the account<strong>in</strong>g<br />

system <strong>of</strong> enterprises <strong>in</strong> general and helps <strong>in</strong> spott<strong>in</strong>g trends towards better or poor<br />

performance. It is helpful <strong>in</strong> f<strong>in</strong>d<strong>in</strong>g significant deviations from an average or pre-determ<strong>in</strong>ed<br />

standard. The f<strong>in</strong>ancial ratios relevant to <strong>supermarket</strong>s <strong>in</strong> <strong>retail<strong>in</strong>g</strong> are grouped under four<br />

different categories namely, solvency ratios, liquidity ratios, pr<strong>of</strong>itability ratios and turnover<br />

ratios and are presented <strong>in</strong> Table 4. 28.<br />

Solvency ratios<br />

The long-term solvency positions <strong>of</strong> the <strong>supermarket</strong> are assessed by these ratios.<br />

Solvency refers to the ability <strong>of</strong> the <strong>supermarket</strong> to repay its outside long-term liabilities/total<br />

liabilities. Solvency ratio <strong>in</strong>dicates long-term stability <strong>of</strong> a concern. The long-term creditors<br />

would judge the soundness <strong>of</strong> the <strong>supermarket</strong> on the basis <strong>of</strong> the long-term f<strong>in</strong>ancial strength<br />

measured <strong>in</strong> terms <strong>of</strong> its ability to pay the <strong>in</strong>terest regularly as well as repay the <strong>in</strong>stallment <strong>of</strong><br />

the pr<strong>in</strong>cipal on due dates or <strong>in</strong> one lump sum at the time <strong>of</strong> maturity. Here the ratios like total<br />

liabilities to owned funds and fixed assets to owned funds were considered.<br />

The ratio <strong>of</strong> total liabilities to owned funds was found to be 0.798, 0.600, 1.905, 3.535,<br />

0.345 <strong>in</strong> Bangalore, Mysore, Mangalore, Hubli and Belgaum, respectively. On the overall<br />

across cities, it was 1.400, which <strong>in</strong>dicates the unreliability <strong>of</strong> the <strong>supermarket</strong>s exist<strong>in</strong>g ones.<br />

The ratio <strong>of</strong> fixed assets to owned funds was found to be 0.697 <strong>in</strong> Bangalore, while 1.731 and<br />

1.367 were found <strong>in</strong> Mangalore and Hubli-Dharwad. At an average the ratio was 0.853 for the<br />

overall <strong>supermarket</strong>s across the state.<br />

Liquidity ratios<br />

Liquidity ratio <strong>in</strong>dicates the cont<strong>in</strong>uous operation <strong>of</strong> the <strong>supermarket</strong>s. These ratios<br />

are used to measure the ability <strong>of</strong> an <strong>in</strong>stitution to possess adequate cash to meet immediate<br />

obligations. The liquidity position <strong>of</strong> the <strong>supermarket</strong>s was exam<strong>in</strong>ed us<strong>in</strong>g two ratios namely<br />

liquid assets to total assets ratio and current assets to current liabilities ratio.<br />

A review <strong>of</strong> the table <strong>in</strong>dicates that <strong>in</strong> all the <strong>supermarket</strong>s, the liquid assets to total<br />

assets ratio was less than 0.5, which is 0.459 <strong>in</strong> Bangalore, 0.404 <strong>in</strong> Mysore, 0.399 <strong>in</strong><br />

Mangalore, 0.157 <strong>in</strong> Belgaum and 0.268 <strong>in</strong> Hubli-Dharwad and hence the overall was 0.337. It<br />

<strong>in</strong>dicates that more than 50per cent <strong>of</strong> the assets were not <strong>in</strong> liquid assets form. The current<br />

ratio (ratio <strong>of</strong> current assets to current liabilities) presented <strong>in</strong> the table <strong>in</strong>dicates that the ratio<br />

was more than one <strong>in</strong> all the cities <strong>supermarket</strong>s except Mysore, where<strong>in</strong> the ratio was 0.994.<br />

It means to say the <strong>supermarket</strong>s had more than one rupee <strong>of</strong> current assets per rupee <strong>of</strong><br />

current liabilities.<br />

Pr<strong>of</strong>itability ratios<br />

These ratios can be used to assess the f<strong>in</strong>ancial status and overall efficiency <strong>of</strong> the<br />

<strong>supermarket</strong>s. These ratios were used to compare the return on <strong>in</strong>vestments. An important<br />

<strong>in</strong>dicator <strong>of</strong> the operational efficiency <strong>of</strong> a firm is its pr<strong>of</strong>its. However, total pr<strong>of</strong>its do not<br />

<strong>in</strong>dicate the efficiency whereas the pr<strong>of</strong>it per unit <strong>of</strong> different aspects <strong>of</strong> the bus<strong>in</strong>ess certa<strong>in</strong>ly


Table 4.28: F<strong>in</strong>ancial Performance <strong>of</strong> Supermarktets Dur<strong>in</strong>g the Year 2006-07<br />

Ratios Particulars Bangalore Mysore Mangalore<br />

Test <strong>of</strong><br />

Solvency<br />

Test <strong>of</strong><br />

Liquidity<br />

Tests <strong>of</strong><br />

Pr<strong>of</strong>itability<br />

Test <strong>of</strong><br />

Turnover<br />

Hubli-<br />

Dharwad<br />

Belgaum Overall<br />

Ratio <strong>of</strong> total liability to owned funds 0.798 0.600 1.905 3.353 0.345 1.400<br />

Fixed assets to owned funds ratio 0.697 0.317 1.731 1.367 0.154 0.853<br />

Ratio <strong>of</strong> liquid assets to total assets 0.459 0.404 0.399 0.268 0.157 0.337<br />

Ratio <strong>of</strong> cuurrent assets to current liabilities 1.275 0.994 1.943 1.741 3.623 1.915<br />

Net pr<strong>of</strong>its to fixed assets ratio 0.572 1.297 0.677 0.717 0.705 0.811<br />

Net pr<strong>of</strong>its to total assets ratio 1.373 3.146 2.187 0.868 4.509 2.499<br />

Net pr<strong>of</strong>its to owned funds ratio 0.856 1.229 4.621 1.773 0.537 1.989<br />

Net pr<strong>of</strong>its to total sales ratio 0.205 0.191 0.170 0.180 0.178 0.189<br />

Work<strong>in</strong>g capital turnover 1.431 1.331 1.576 1.375 5.156 2.174<br />

Fixed assets turnover ratio 2.716 6.784 3.971 3.974 3.931 4.275


does. Hence, the ratio <strong>of</strong> net pr<strong>of</strong>its to different determ<strong>in</strong>ations were worked out and<br />

presented <strong>in</strong> Table 4.28.<br />

Net pr<strong>of</strong>its to fixed assets ratio were found to be 1.297, 0.717, 0.705, 0.677 and 0.572<br />

<strong>in</strong> various cities on the descend<strong>in</strong>g order <strong>in</strong> Mysore, Hubli-Dharwad, Belgaum, Mangalore and<br />

Bangalore. Similarly, the ratio <strong>in</strong> case <strong>of</strong> net pr<strong>of</strong>its to total assets was high <strong>in</strong> Belgaum<br />

where<strong>in</strong> the ratio was 4.509 followed by Mysore (3.146), Mangalore (2.187), Bangalore<br />

(1.373) and Hubli-Dharwad (0.868). However, the overall ratio was 2.499. The obta<strong>in</strong>ed ratios<br />

were 4.621 <strong>in</strong> Mangalore subsequently 1.773 <strong>in</strong> Hubli-Dharwad, 1.229 <strong>in</strong> Mysore, 0.859 <strong>in</strong><br />

Bangalore and 0.537 <strong>in</strong> Belgaum. The overall net pr<strong>of</strong>it to own funds was 1.989. The ratio <strong>of</strong><br />

net pr<strong>of</strong>its to total sales ratio po<strong>in</strong>t outs the net pr<strong>of</strong>its for each rupee <strong>of</strong> own funds used <strong>in</strong> the<br />

bus<strong>in</strong>ess, which were 0.205 <strong>in</strong>case <strong>of</strong> Bangalore, while 0.170 <strong>in</strong> case <strong>of</strong> Mangalore. It is quite<br />

good <strong>in</strong> Mysore (0.191), Hubli-Dharwad (0.180) and Belgaum (0.178). Net pr<strong>of</strong>its to total sales<br />

were also found to be 0.189 <strong>in</strong> cities across the state <strong>in</strong>dicat<strong>in</strong>g 0.189 rupee contribution to<br />

per rupee <strong>of</strong> total sales.<br />

Turnover ratio<br />

The turnover ratio <strong>in</strong>dicates the operational efficiency <strong>of</strong> the <strong>supermarket</strong>s <strong>in</strong> the<br />

study area. The efficiency <strong>of</strong> <strong>supermarket</strong>s <strong>in</strong> the selected cities was compared us<strong>in</strong>g the<br />

<strong>in</strong>dicators such as work<strong>in</strong>g capital turnover ratio and fixed assets turnover ratios.<br />

The work<strong>in</strong>g capital turnover ratio <strong>in</strong>dicated the relationship between sales and<br />

work<strong>in</strong>g capital. This ratio was highest <strong>of</strong> 5.156 <strong>in</strong> Belgaum followed by 1.890 <strong>in</strong> Bangalore,<br />

1.576 <strong>in</strong> Mangalore, 1.539 <strong>in</strong> Hubli-Dharwad and 1.331 <strong>in</strong> Mysore <strong>supermarket</strong>s. In contrast,<br />

the fixed assets to turnover ratio was 6.784 <strong>in</strong> Mysore, 4.319 <strong>in</strong> Hubli-Dharwad, 3.971 <strong>in</strong><br />

Mangalore, 3.931 <strong>in</strong> Belgaum and 3.581 <strong>in</strong> Bangalore. At an average, the average work<strong>in</strong>g<br />

capital turnover ratio was 2.298 and fixed assets to turnover ratio was 4.517 for the state.<br />

4.8 FACTORS CONSIDERED AND METHODS OF PRICE-<br />

FORMATION IN SUPERMARKETS<br />

In order to assess the relative importance attached by the <strong>supermarket</strong>s to the factors<br />

considered <strong>in</strong> pric<strong>in</strong>g <strong>of</strong> products at <strong>supermarket</strong>s <strong>in</strong> different cities across Karnataka Garret<br />

rank<strong>in</strong>g technique was employed. The factors considered <strong>in</strong> the analysis were nature <strong>of</strong><br />

products, market forces (Supply & Demand), product life, competition, long-term pric<strong>in</strong>g,<br />

market segmentation, quality <strong>of</strong> the products, relative prices <strong>of</strong> the producers, price should not<br />

be high, price should conv<strong>in</strong>ce prospective consumers, price shall ensure pr<strong>of</strong>itability and<br />

availability <strong>of</strong> the products. In addition to city-wise results, overall results <strong>of</strong> the analysis are<br />

presented <strong>in</strong> Table 4.29.<br />

Table 4.29 represents the results <strong>of</strong> the Garret rank<strong>in</strong>g analysis conducted <strong>in</strong> respect<br />

<strong>of</strong> factors considered <strong>in</strong> pric<strong>in</strong>g the products <strong>in</strong> <strong>supermarket</strong>s by the retailers<br />

(<strong>supermarket</strong>ers).<br />

As the Table 4.29 reveals, the Bangalore <strong>supermarket</strong>s attached significance<br />

importance to quality <strong>of</strong> the product followed by price should ensure pr<strong>of</strong>itability, nature <strong>of</strong> the<br />

product, competition, product life, price should not be high, availability <strong>of</strong> product, price shall<br />

convenience prospective consumers etc. In Mysore, <strong>supermarket</strong>s attached first preference to<br />

nature <strong>of</strong> the product and the least consideration was given to market segmentation. The<br />

other factors such as quality <strong>of</strong> the products, availability <strong>of</strong> the product, price should not be<br />

high, competition etc were also considered next to nature <strong>of</strong> the product. Nature <strong>of</strong> the<br />

product, quality <strong>of</strong> the product, price should ensure pr<strong>of</strong>itability and competition were reflected<br />

as the prime factors considered <strong>in</strong> pric<strong>in</strong>g at Mangalore. Similarly, competition, price should<br />

not be high, quality <strong>of</strong> the product and price should ensure pr<strong>of</strong>itability were the factors<br />

considered <strong>in</strong> Belgaum firms. In case <strong>of</strong> Hubli-Dharwad, quality <strong>of</strong> the products was<br />

considered the most important factor <strong>in</strong> fix<strong>in</strong>g the price for the product. Long term pric<strong>in</strong>g was<br />

given least importance. The other factors namely, competition, price should not be high,<br />

nature <strong>of</strong> the products, availability <strong>of</strong> the product, market forces, product life assumed second,<br />

third, fourth, fifth, sixth and seventh important places <strong>in</strong> Hubli-Dharwad <strong>supermarket</strong>s.<br />

In the overall, the factors <strong>–</strong> quality <strong>of</strong> the product, nature <strong>of</strong> the product, competition,<br />

price should not be high, price should ensure pr<strong>of</strong>itability, availability <strong>of</strong> the product, product<br />

life, relative price <strong>of</strong> the rival products, market forces, price shall convenience prospective


Table 4.29: Rank<strong>in</strong>g <strong>of</strong> the Factors Considered by Supermarketers <strong>in</strong> Pric<strong>in</strong>g the Products <strong>in</strong> Supermakets<br />

Factors<br />

Hubli-<br />

Dharwad<br />

Garret Ranks<br />

Mangalore Belgaum Mysore Bangalore Overall<br />

Nature <strong>of</strong> products 4 1 5 1 3 2<br />

Market forces (Supply & Demand) 6 7 9 10 11 9<br />

Product life 7 8 8 6 5 7<br />

Competition 2 4 1 5 4 3<br />

Long-term pric<strong>in</strong>g 12 12 11 11 12 12<br />

Market segmentation 11 11 12 12 10 11<br />

Relative prices <strong>of</strong> the producers 9 10 6 9 9 8<br />

Price should not be high 3 6 2 4 6 4<br />

Price should ensure pr<strong>of</strong>itability 8 3 4 7 2 5<br />

Price shall conv<strong>in</strong>ce prospective consumers 10 9 10 8 8 10<br />

Quality <strong>of</strong> the products 1 2 3 2 1 1<br />

Availability <strong>of</strong> the products 5 5 7 3 7 6


Table 4.30: Methods <strong>of</strong> Pric<strong>in</strong>g Followed <strong>in</strong> Supermarkets<br />

Pric<strong>in</strong>g Methods<br />

Cost based pric<strong>in</strong>g Methods<br />

Hubli-<br />

Dharwad<br />

Mangalore Belgaum Mysore Bangalore Overall<br />

Res % Res % Res % Res % Res % Res %<br />

a) Absorption cost pric<strong>in</strong>g 3 100.00 3 100.00 3 100.00 3 100.00 3 100.00 15 100.00<br />

b) Target pric<strong>in</strong>g - - - - - - - - 2 66.67 2 13.33<br />

Market based pric<strong>in</strong>g methods<br />

a) Penetration pric<strong>in</strong>g 1 33.33 1 33.33 - - 1 33.33 2 66.67 5 33.33<br />

b) Market skimm<strong>in</strong>g - - - - - - - - - -<br />

c) Loss leader pric<strong>in</strong>g 1 33.33 2 66.67 - - - - 1 33.33 4 26.67<br />

d) Psychological pric<strong>in</strong>g - - - - - - - - - - - -<br />

e) Discount<strong>in</strong>g pric<strong>in</strong>g 3 100.00 1 33.33 1 33.33 2 66.67 2 66.67 9 60.00<br />

Competition based pric<strong>in</strong>g<br />

a) Go<strong>in</strong>g rate or market pric<strong>in</strong>g 3 100.00 3 100.00 3 100.00 3 100.00 3 100.00 15 100.00<br />

b) Destroyer or destructor pric<strong>in</strong>g - - 1 33.33 - - - - - 1 6.67


consumers, market segmentation and long-term pric<strong>in</strong>g were considered as important <strong>in</strong> that<br />

order. The sum <strong>of</strong> the op<strong>in</strong>ions <strong>of</strong> the retailers, which are converted <strong>in</strong>to scores (Garret table)<br />

and the mean scores obta<strong>in</strong>ed are presented <strong>in</strong> Appendix-I.<br />

One <strong>of</strong> the most crucial areas <strong>of</strong> decision mak<strong>in</strong>g for retailers is pric<strong>in</strong>g. The ma<strong>in</strong><br />

objectives <strong>of</strong> the pric<strong>in</strong>g are to get handsome return on <strong>in</strong>vestment, to achieve the growth <strong>in</strong><br />

terms <strong>of</strong> sales, to <strong>in</strong>crease the market share and to stabilize the variations <strong>in</strong> the prices to<br />

protect prospective consumers and <strong>in</strong> turn total sales. In case <strong>of</strong> <strong>retail<strong>in</strong>g</strong>, the <strong>supermarket</strong>s<br />

decide the price for their products based on the market situation. However, the methods <strong>of</strong><br />

pric<strong>in</strong>g followed <strong>in</strong> <strong>supermarket</strong>s were illustrated <strong>in</strong> Table 4.30.<br />

In addition to absorption cost pric<strong>in</strong>g and go<strong>in</strong>g rate pric<strong>in</strong>g methods by the cent per<br />

cent <strong>of</strong> the Bangalore <strong>supermarket</strong>s, target pric<strong>in</strong>g, penetration pric<strong>in</strong>g and discount<strong>in</strong>g pric<strong>in</strong>g<br />

were adopted by 66.67 per cent <strong>of</strong> the <strong>supermarket</strong>s. About 33.33 per cent were followed loss<br />

leader pric<strong>in</strong>g <strong>in</strong> times. It was cent per cent, 66.67 per cent and 33.33 per cent <strong>of</strong> the<br />

<strong>supermarket</strong>s <strong>in</strong> Mysore followed absorption cost pric<strong>in</strong>g and go<strong>in</strong>g rate or market pric<strong>in</strong>g,<br />

discount<strong>in</strong>g pric<strong>in</strong>g and penetration method <strong>of</strong> pric<strong>in</strong>g. All the <strong>supermarket</strong>s <strong>in</strong> Mangalore<br />

adopted absorption cost pric<strong>in</strong>g and go<strong>in</strong>g rate or market pric<strong>in</strong>g methods, whereas 66.67 per<br />

cent <strong>of</strong> them <strong>in</strong> the city were also made use <strong>of</strong> loss leader pric<strong>in</strong>g. Apart from this, 33.33 per<br />

cent <strong>of</strong> the <strong>supermarket</strong>s also went beh<strong>in</strong>d penetration pric<strong>in</strong>g, discount<strong>in</strong>g and destroyer or<br />

destructor pric<strong>in</strong>g methods occasionally. The pric<strong>in</strong>g <strong>in</strong> Belgaum <strong>supermarket</strong>s was done<br />

through absorption cost pric<strong>in</strong>g and go<strong>in</strong>g rate or market pric<strong>in</strong>g methods by all the firms<br />

together with discount<strong>in</strong>g pric<strong>in</strong>g by 33.33 per cent <strong>of</strong> the <strong>supermarket</strong>s. Similarly, the<br />

methods employed by the Hubli-Dharwad <strong>supermarket</strong>s were absorption cost pric<strong>in</strong>g,<br />

discount<strong>in</strong>g pric<strong>in</strong>g (<strong>in</strong> festivals) and go<strong>in</strong>g rate or market pric<strong>in</strong>g methods (100 per cent each)<br />

and penetration pric<strong>in</strong>g and loss leader pric<strong>in</strong>g (33.33 per cent each).<br />

At an overall, cent per cent <strong>of</strong> the <strong>supermarket</strong>s <strong>in</strong> the state followed absorption cost<br />

pric<strong>in</strong>g and go<strong>in</strong>g rate or market pric<strong>in</strong>g methods <strong>in</strong> pric<strong>in</strong>g the products at <strong>supermarket</strong>s.<br />

About 60 per cent followed discount<strong>in</strong>g pric<strong>in</strong>g dur<strong>in</strong>g special days while 33.33 per cent and<br />

26.67 per cent adopted penetration pric<strong>in</strong>g and loss leader pric<strong>in</strong>g methods. A small<br />

proportion (13.33 per cent and 6.67 per cent) <strong>of</strong> the <strong>supermarket</strong>s also adopted target pric<strong>in</strong>g<br />

(for selected products) and destroyer or destructor pric<strong>in</strong>g methods <strong>in</strong> their <strong>retail<strong>in</strong>g</strong> bus<strong>in</strong>ess.<br />

4.9 PROBLEMS FACED BY THE FOOD RETAILERS<br />

In the present study 38 variables were identified and grouped <strong>in</strong>to 10 factors after<br />

rotation <strong>of</strong> pr<strong>in</strong>ciple component technique. Out <strong>of</strong> the 10 factors 9 factors, which expla<strong>in</strong> 92.38<br />

per cent <strong>of</strong> the total variance were selected for <strong>in</strong>terpretation. Table 4.31 shows the factor<br />

load<strong>in</strong>g <strong>of</strong> the each variable under different factors and the percentage variation expla<strong>in</strong>ed by<br />

each factor.<br />

The first dimension expla<strong>in</strong>s 19.18 per cent <strong>of</strong> the variation. Among 38 <strong>in</strong>dicators 8<br />

showed higher factor load<strong>in</strong>g (above 0.5) on the first dimension. Availability <strong>of</strong> tra<strong>in</strong>ed<br />

employees, banks for sources <strong>of</strong> f<strong>in</strong>ance, demand for credit from the customers, barga<strong>in</strong> from<br />

the customers, government scheme for f<strong>in</strong>ance, repayment from the customers and credit<br />

facility from the wholesalers had highest factor load<strong>in</strong>gs <strong>of</strong> 0.797, 0.788, 0.743, 0.697, 0.665,<br />

0.594, 0.555 and 0.523 respectively. This implied that these <strong>in</strong>dicators were the key problems<br />

<strong>in</strong> the <strong>supermarket</strong> bus<strong>in</strong>ess <strong>in</strong> different cities <strong>of</strong> Karnataka. In contrast to these<br />

advertisement rate and coverage <strong>of</strong> area, WTO impact on pr<strong>of</strong>it marg<strong>in</strong> and on price <strong>of</strong> the<br />

products and market <strong>in</strong>formation from the wholesalers has shown negative factor load<strong>in</strong>gs.<br />

The second dimensions expla<strong>in</strong>ed 15.85 per cent <strong>of</strong> the variation and it consists <strong>of</strong> 6<br />

<strong>in</strong>dicators with high factor load<strong>in</strong>gs (above 0.4). Except transportation facilities (-0.6319), all<br />

the <strong>in</strong>dicators such as experience <strong>of</strong> bus<strong>in</strong>ess (0.677), tim<strong>in</strong>g <strong>of</strong> advertisement (0.669),<br />

damage <strong>of</strong> products from wholesalers (0.658), bribes to government authorities (0.650), tax<br />

charged by the government (0.583) and marg<strong>in</strong> from the wholesalers (0.486) have shown<br />

positive factor load<strong>in</strong>gs on <strong>supermarket</strong> bus<strong>in</strong>ess.<br />

The third dimension, which expla<strong>in</strong>ed 11.04 per cent <strong>of</strong> the variation <strong>in</strong> the problems<br />

<strong>of</strong> the <strong>supermarket</strong>s consist <strong>of</strong> 5 <strong>in</strong>dicators. Among the five, four <strong>in</strong>dicators <strong>–</strong> demand for<br />

discounts and <strong>of</strong>fers from the customers, location <strong>of</strong> the <strong>supermarket</strong>, WTO impact on<br />

competition and exist<strong>in</strong>g laws <strong>of</strong> the bus<strong>in</strong>ess had positive impact on the problems but<br />

<strong>in</strong>formation <strong>in</strong> advertisement shown negative effect.


Table 4.31: Variables with Relatively Higher Factor Load<strong>in</strong>gs on N<strong>in</strong>e Dimesions on the<br />

Problems <strong>of</strong> Supermarketers <strong>in</strong> Karnataka<br />

First Dimension<br />

Variables<br />

Second Dimension<br />

Variables<br />

Third Dimension<br />

Variables<br />

Variables Factor load<strong>in</strong>gs<br />

Availability <strong>of</strong> Tra<strong>in</strong>ed employees 0.7973<br />

Banks for sources <strong>of</strong> f<strong>in</strong>ance 0.7881<br />

Demand for credit from the customers 0.7428<br />

Barga<strong>in</strong> from the customers 0.6970<br />

Govt. schemes for f<strong>in</strong>ance 0.6652<br />

Repayment from the customers 0.5937<br />

Credit facility from the wholesalers 0.5551<br />

Electricity 0.5232<br />

Advertisement rate -0.4172<br />

Advertisement coverage (<strong>of</strong> area) -0.5568<br />

WTO impact on pr<strong>of</strong>it marg<strong>in</strong> -0.5589<br />

Market <strong>in</strong>formation from the wholesalers -0.5876<br />

WTO impact on price <strong>of</strong> the product -0.7112<br />

Percentage Variation 19.1760<br />

Experience <strong>in</strong> the bus<strong>in</strong>ess 0.6772<br />

Tim<strong>in</strong>g <strong>of</strong> the advertisement 0.6687<br />

Damage <strong>of</strong> products from wholesalers 0.6575<br />

Bribes to Govt. authorities 0.6504<br />

Tax charge by the Govt. 0.5829<br />

Marg<strong>in</strong> from the wholesalers 0.4861<br />

Transportation facilities -0.6319<br />

Percentage Variation 15.8454<br />

Demand for discounts & <strong>of</strong>fers from the<br />

customers<br />

0.6713<br />

Location <strong>of</strong> the <strong>supermarket</strong> 0.5932<br />

WTO impact on competition 0.5928<br />

Exist<strong>in</strong>g laws 0.4599<br />

Information <strong>in</strong> advertisement -0.5735<br />

Contd…..


Fourth Dimension<br />

Variables<br />

Fifth Dimension<br />

Variables<br />

Sixth Dimension<br />

Variables<br />

Seventh Dimension<br />

Variables<br />

Eigth Dimension<br />

Variables<br />

N<strong>in</strong>th Dimension<br />

Variables<br />

Percentage Variation 11.0437<br />

VAT Charges 0.7235<br />

Demand for new products from the<br />

customers<br />

0.5576<br />

Land and build<strong>in</strong>g 0.5233<br />

F<strong>in</strong>ancial resource 0.4899<br />

Percentage Variation 9.7770<br />

Price variation from the wholesalers 0.5486<br />

Insurance facilities -0.5219<br />

Procedures <strong>in</strong> the Govt. -0.5479<br />

Percentage Variation 9.4247<br />

Storage facility 0.6345<br />

Agencies for products supply 0.5987<br />

Percentage Variation 6.6697<br />

Delivery from the wholesalers 0.6480<br />

Op<strong>in</strong>ion regard<strong>in</strong>g VAT 0.5183<br />

Percentage Variation 6.1932<br />

Exist<strong>in</strong>g location <strong>of</strong> the site -0.4656<br />

Percentage Variation 4.7010<br />

Availability <strong>of</strong> un tra<strong>in</strong>ed employees 0.5366<br />

Percentage Variation 4.1074<br />

VAT charges, demand for new products from the customers, land and build<strong>in</strong>g and<br />

f<strong>in</strong>ancial resource were comes under fourth dimension expla<strong>in</strong>ed about 9.78 per cent<br />

variation, the respective factor load<strong>in</strong>gs are 0.72, 0.55, 0.52 and 0.48.<br />

The fifth dimension expla<strong>in</strong>ed 9.42 per cent <strong>of</strong> the variation. The number <strong>of</strong> <strong>in</strong>dicators<br />

<strong>in</strong>cluded <strong>in</strong> this dimension was 3, with <strong>in</strong>surance facilities and procedures <strong>of</strong> the government<br />

have negative factor load<strong>in</strong>gs but price variation by the wholesalers had positive factor<br />

load<strong>in</strong>g.<br />

About 6.67 percent <strong>of</strong> total variation was expla<strong>in</strong>ed by sixth dimension consist<strong>in</strong>g <strong>of</strong><br />

storage facilities and agencies for supply <strong>of</strong> products to the <strong>supermarket</strong>s have positive<br />

load<strong>in</strong>gs.<br />

The two variables such as delivery from the wholesalers and op<strong>in</strong>ion <strong>of</strong> the retailers<br />

regard<strong>in</strong>g VAT <strong>in</strong>cluded <strong>in</strong> seventh dimension expla<strong>in</strong>ed 6.19 per cent <strong>of</strong> the total variation<br />

with positive consequence on the problems <strong>of</strong> the <strong>retail<strong>in</strong>g</strong>.


The eighth and n<strong>in</strong>th dimensions which expla<strong>in</strong>ed 4.70 and 4.10 per cent <strong>of</strong> total<br />

variation <strong>in</strong>cluded exist<strong>in</strong>g location <strong>of</strong> the site and availability <strong>of</strong> untra<strong>in</strong>ed employees<br />

respectively had factor load<strong>in</strong>gs <strong>of</strong> -0.46 and 0.54.<br />

The component matrix and the extent <strong>of</strong> variation expla<strong>in</strong>ed by different dimensions<br />

on the problems <strong>of</strong> <strong>supermarket</strong>s <strong>in</strong> Karnataka are shown <strong>in</strong> Appendix-II and Appendix-III.<br />

4.10 FACTORS INFLUENCING THE CONSUMERS TO<br />

PURCHASE THE FOOD PRODUCTS IN SUPERMARKETS<br />

In this section, results <strong>of</strong> the op<strong>in</strong>ion <strong>of</strong> the consumers to go for purchase at the<br />

<strong>supermarket</strong>s <strong>in</strong> the study area were collected us<strong>in</strong>g three po<strong>in</strong>t scale technique based on<br />

their importance as most, medium and less preference. The op<strong>in</strong>ions obta<strong>in</strong>ed <strong>in</strong> terms <strong>of</strong><br />

scores (i.e., three po<strong>in</strong>ts scale) from the consumers were analyzed us<strong>in</strong>g cluster analysis and<br />

the results <strong>of</strong> the analysis are presented <strong>in</strong> Table 4.32.<br />

It was revealed from the Table 4.32 that out <strong>of</strong> 30 variables, 13 variables were found<br />

<strong>in</strong> the first aggregate cluster named as accessibility and product quality factors, 10 were<br />

grouped <strong>in</strong> second aggregate cluster named as <strong>in</strong>fluenc<strong>in</strong>g factors to go for purchase at<br />

<strong>supermarket</strong>s and rema<strong>in</strong><strong>in</strong>g seven variables were <strong>in</strong>cluded <strong>in</strong> third cluster named the cluster<br />

as product promotion factors. The important variables <strong>in</strong>cluded <strong>in</strong> the accessibility and<br />

product quality factors were convenient location <strong>of</strong> the <strong>supermarket</strong>, range <strong>of</strong> products<br />

availability, convenient for purchase, availability <strong>of</strong> quality products, saves time <strong>of</strong> shopp<strong>in</strong>g,<br />

work<strong>in</strong>g women and convenience, frequency <strong>of</strong> visits etc based on their similarity with<strong>in</strong> the<br />

variables. Similarly, the <strong>in</strong>fluenc<strong>in</strong>g factors <strong>in</strong> the second clusters were reasonable prices,<br />

park<strong>in</strong>g facility, shopp<strong>in</strong>g is seen enjoyable at <strong>supermarket</strong>s, attractive pack<strong>in</strong>g, schemes and<br />

<strong>of</strong>fers, concern about health, welfare and the environment, <strong>in</strong>fluence <strong>of</strong> peer group, availability<br />

<strong>of</strong> range <strong>of</strong> brands etc as the stimulate the consumers to opt for <strong>supermarket</strong>s for their<br />

purchase. The product promotion factors <strong>in</strong> the third cluster group were payment methods,<br />

<strong>in</strong>terest <strong>in</strong> eat<strong>in</strong>g foreign <strong>food</strong>s, home delivery facility, new products market development,<br />

attractive advertisement, fresh fruits and vegetables and fresh bakery products availability.<br />

The similarity <strong>of</strong> the variables can be seen <strong>in</strong> the dendogram (Appendix-IV). However, the<br />

cluster classifications obta<strong>in</strong>ed from the analysis were tested <strong>in</strong> the discrim<strong>in</strong>ant analysis and<br />

the results ga<strong>in</strong>ed are presented <strong>in</strong> Table 4.33. It is found from the table that the group<br />

classification was cent per cent correct. The cluster classification and case-wise statistics<br />

based on discrim<strong>in</strong>ate analysis were given <strong>in</strong> Appendix-V and the proximity matrix <strong>of</strong> squared<br />

Euclidean distance for the cluster classification was presented <strong>in</strong> Appendix-VI.


Table 4.32: Aggregation <strong>of</strong> Clusters <strong>of</strong> Variables Influenc<strong>in</strong>g Consumers to Purchase Food<br />

Products <strong>in</strong> Supermarkets<br />

Cluster<br />

Group<br />

1<br />

2<br />

3<br />

Aggregation <strong>of</strong><br />

clusters<br />

Accessability &<br />

Product quality<br />

Factors<br />

Influenc<strong>in</strong>g<br />

Factors<br />

Product<br />

Promotion<br />

Factors<br />

Variable<br />

code<br />

numbers<br />

Name <strong>of</strong> the Variable<br />

F1 Convenient location <strong>of</strong> the <strong>supermarket</strong><br />

F2 Range <strong>of</strong> products available<br />

F3 Convenient for purchase<br />

F4 Availability <strong>of</strong> quality products<br />

F12 Better service to customers<br />

F14 Save time <strong>of</strong> shopp<strong>in</strong>g<br />

F16 Work<strong>in</strong>g women and convenience<br />

F21 Store image<br />

F22 Behaviour <strong>of</strong> the employees<br />

F23 Freshness <strong>of</strong> the products<br />

F26 Good quality products<br />

F29 Frequency <strong>of</strong> visits<br />

F30 Amount spare<br />

F5 Reasonable prices<br />

F6 Park<strong>in</strong>g facility<br />

F8 Shopp<strong>in</strong>g is seen as enjoyable<br />

F9 Attractive pack<strong>in</strong>g<br />

F11 Interest <strong>in</strong> eat<strong>in</strong>g foreign <strong>food</strong>s<br />

F17<br />

Concern about health, welfare and the<br />

environment<br />

F18 Peer group <strong>in</strong>fluence<br />

F19 Range <strong>of</strong> brands<br />

F24 Label<strong>in</strong>g (Composition <strong>of</strong> <strong>in</strong>gredients)<br />

F25 Product warranty<br />

F7<br />

Payment methods (Cash, Cheques or Credit<br />

cards)<br />

F10 Interest <strong>in</strong> eat<strong>in</strong>g foreign <strong>food</strong>s<br />

F13 Home delivery<br />

F15 New <strong>food</strong> products market development<br />

F20 Attractive Advertis<strong>in</strong>g<br />

F27 Fresh fruits and vegetables<br />

F28 Fresh bakery products


V. DISCUSSION<br />

The f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> the study, which were presented previously, are discussed <strong>in</strong> this<br />

chapter under the follow<strong>in</strong>g head<strong>in</strong>gs to arrive at a mean<strong>in</strong>gful <strong>in</strong>terpretation.<br />

5.1 Documentation <strong>of</strong> <strong>supermarket</strong>s<br />

5.2 Investment pattern <strong>in</strong> <strong>supermarket</strong>s<br />

5.3 Organizational structure <strong>in</strong> <strong>supermarket</strong>s<br />

5.4 Procurement management <strong>in</strong> <strong>supermarket</strong>s<br />

5.5 Inventory management and its costs <strong>in</strong> <strong>supermarket</strong>s<br />

5.6 Process<strong>in</strong>g /Value addition <strong>in</strong> <strong>supermarket</strong>s<br />

5.7 F<strong>in</strong>ancial management <strong>in</strong> <strong>supermarket</strong>s<br />

5.8 Factors considered and methods <strong>of</strong> price-formation <strong>in</strong> <strong>supermarket</strong>s<br />

5.9 Problems faced by the <strong>food</strong> retailers<br />

5.10 Factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase the <strong>food</strong> products <strong>in</strong> <strong>supermarket</strong>s.<br />

5.1 DOCUMENTATION OF SUPERMARKETS<br />

Table 4.1 presents the list <strong>of</strong> exist<strong>in</strong>g <strong>supermarket</strong>s <strong>in</strong> selected cities across<br />

Karnataka (up to 2006). The names <strong>of</strong> exist<strong>in</strong>g <strong>supermarket</strong>s, number <strong>of</strong> outlets and address<br />

<strong>of</strong> their head <strong>of</strong>fices are presented <strong>in</strong> the Table 4.1. It was observed from the study that<br />

majority <strong>of</strong> the organized <strong>supermarket</strong>s (multi outlets) exist<strong>in</strong>g and operat<strong>in</strong>g only <strong>in</strong> big cities<br />

like Bangalore and Mysore. These organized <strong>supermarket</strong>s have multi outlets operat<strong>in</strong>g under<br />

the s<strong>in</strong>gle management and accounts for huge turnover. The un-organized recently formed<br />

<strong>supermarket</strong>s were found <strong>in</strong> Mangalore, Belgaum and Hubli-Dharwad. In these cities, the big<br />

local and conventional store owners have converted their <strong>in</strong>digenous general stores <strong>in</strong>to the<br />

modern type <strong>of</strong> stores called <strong>supermarket</strong>s to cater the chang<strong>in</strong>g needs and expectations <strong>of</strong><br />

modern consumers. Consumer familiarity that runs from generation to generation is one big<br />

advantage for the traditional <strong>retail<strong>in</strong>g</strong> sector.<br />

The more organized form <strong>of</strong> <strong>supermarket</strong>s found <strong>in</strong> Bangalore city based on their<br />

number <strong>of</strong> outlets were Shubhiksha (40) followed by Foodworld (33), Fabmall (23), S*mart<br />

(18), Namdhari’s Fresh (14) and Niligiri Dairy Farm Ltd (12). The other important<br />

<strong>supermarket</strong>s <strong>in</strong> the city were Spencer’s, Food Bazaar, Monday to Sunday, Farm L<strong>in</strong>e<br />

<strong>supermarket</strong>s, M.K. Retail Co. Super Mart, Ruba traders etc. All these <strong>supermarket</strong>s have<br />

their Head <strong>of</strong>fices at Bangalore.<br />

The famous <strong>in</strong>digenous <strong>supermarket</strong>s <strong>in</strong> the Mysore city were Loyal World, Arihanth<br />

Super Bazaar, Mohan Bhandar, Shivananda Supermarket, A-Z Supermarket and Foodworld.<br />

However, the organized <strong>supermarket</strong>s like Foodworld, Niligiri’s, Shubhiksha and Fabmall<br />

have penetrated the city more recently and most <strong>of</strong> these had their head <strong>of</strong>fice at Bangalore.<br />

The family owned un-organized <strong>supermarket</strong>s such as Baliga Stores Supermarket,<br />

Andy’s <strong>supermarket</strong>; Apna Bazaar, Jimmy’s Supermarket, Misbah Supermarket, Move N<br />

Pick, Noor Super Bazaar Ruby’s Supermarket, Sadhar Bazaar were well known <strong>in</strong> the city.<br />

Just recently, the organized <strong>supermarket</strong>s like Foodworld, Niligiri’s and Food Bazaar have<br />

also entered <strong>in</strong>to the <strong>food</strong> <strong>retail<strong>in</strong>g</strong> bus<strong>in</strong>ess <strong>in</strong> the city.<br />

Pick ‘n’ Pay, Sangram Food Basket, Day 2 Day, Needz Supermarket and Eshan<br />

Super Shoppe were the only five <strong>supermarket</strong>s <strong>in</strong> Hubli-Dharwad city. However, Pick ‘n’ Pay<br />

and Sangram Food Basket had two outlets each <strong>in</strong> the city. Similarly, the <strong>supermarket</strong>s <strong>in</strong> the<br />

Belgaum city were Hans Raj Supermarket, Neena Supermarket, Quality Supermarket, Rex<br />

Supermarket and Shoppers Paradise, most <strong>of</strong> which are family owned.<br />

5.2 INVESTMENT PATTERN IN SUPERMARKETS<br />

It was found from Table 4.2 that the average area <strong>of</strong> the <strong>supermarket</strong> outlets <strong>in</strong><br />

different cities were found to be 4333.33 square feet, 3133.33 square feet, 2833.33 square


feet, 1833.33 square feet and 1200 square feet <strong>in</strong> Bangalore, Mysore, Hubli-Dharwad,<br />

Mangalore and Belgaum, respectively. The area was high due to more transactions, range <strong>of</strong><br />

products and more spacious to attract consumers <strong>in</strong> big cities like Bangalore and Mysore and<br />

less <strong>in</strong> Mangalore, Hubli-Dharwad and Belgaum as the <strong>supermarket</strong>s <strong>in</strong> these cities were<br />

recently converted from the conventional stores. Sometimes organizations are created large<br />

at the outset, usually because size is an advantage or a necessity. For example, the owner <strong>of</strong><br />

an <strong>in</strong>dependent <strong>supermarket</strong> does not open a small store <strong>in</strong> a newly built subdivision and then<br />

grow larger as demand warrants. Instead, a large store is designed and built that has the<br />

capacity to deal with the expected number <strong>of</strong> customers <strong>in</strong> the neighbourhood. A small<br />

grocery store could not compete effectively <strong>in</strong> price and selection with other nearby<br />

<strong>supermarket</strong>s.<br />

In addition, table <strong>in</strong>dicated that though, the fixed capital drastically varied from city to<br />

city, highest was found <strong>in</strong> Bangalore (Rs. 258.30 lakh) followed by Hubli-Dharwad (Rs. 71.60<br />

lakh), Mysore (Rs. 39.23 lakh), Belgaum (Rs. 18.81 lakh) and Mangalore (Rs. 13.00 lakh),<br />

However, the overall average total fixed cost per outlet was Rs. 78.42 lakh for the state as a<br />

whole. At the same time, it accounts for 30.01 per cent <strong>of</strong> the total capital. This is due to<br />

higher amount <strong>of</strong> capital <strong>in</strong>vestment on sophisticated modern equipments and <strong>in</strong>frastructural<br />

facilities. Among different fixed capital, the proportion <strong>of</strong> land & build<strong>in</strong>g accounted for 23.50<br />

per cent <strong>of</strong> the total capital as these resources become very costly <strong>in</strong> urban area. The<br />

rema<strong>in</strong><strong>in</strong>g fixed capital elements were mach<strong>in</strong>eries & equipments, other fixtures and salary to<br />

permanent employees which accounts to 2.10 per cent, 1.20 per cent, 1.08 per cent<br />

respectively <strong>of</strong> the total fixed capital.<br />

In case <strong>of</strong> work<strong>in</strong>g capital, raw materials were the prime costs contributed about 67<br />

per cent <strong>of</strong> the total capital as the <strong>retail<strong>in</strong>g</strong> bus<strong>in</strong>ess (<strong>supermarket</strong>s) itself is to resell<strong>in</strong>g <strong>of</strong><br />

commodities and quicker conversion <strong>of</strong> <strong>in</strong>ventory <strong>in</strong>to cash. The other important work<strong>in</strong>g<br />

capitals <strong>in</strong>curred <strong>in</strong> the establishment <strong>of</strong> <strong>supermarket</strong>s were wages to casual labourers, power<br />

charges and packag<strong>in</strong>g material. These results are on par with the study conducted by<br />

Nagesh (1990) where<strong>in</strong> the highest fixed capital <strong>in</strong>vestment was <strong>in</strong> build<strong>in</strong>g (72.81 per cent)<br />

followed by mach<strong>in</strong>ery and equipments (15.42 per cent) and land (11.77 per cent) <strong>in</strong><br />

production and market<strong>in</strong>g <strong>of</strong> cashew <strong>in</strong> Karnataka.<br />

At an overall, the average total costs required to establish a <strong>supermarket</strong> <strong>in</strong><br />

Karnataka was Rs. 261.33 lakh and the same <strong>in</strong> different cities such as Bangalore, Mysore,<br />

Hubli-Dharwad, Mangalore and Belgaum were Rs. 762.061 lakh, Rs. 205.876 lakh, Rs.<br />

173.191 lakh, Rs. 96.78 lakh and Rs. 78.53 lakh, respectively. The higher costs <strong>in</strong> big cities<br />

was due to higher labour costs, social security to employees, high quality real estate, much<br />

bigger premises, comfort facilities such as air-condition<strong>in</strong>g, back-up power supply, taxes etc.,<br />

it is more so <strong>in</strong>case <strong>of</strong> organized <strong>retail<strong>in</strong>g</strong>. On the other hand, <strong>supermarket</strong>s <strong>in</strong> small cities are<br />

<strong>of</strong> low cost structure, mostly owner-operated, has negligible real estate and labour costs and<br />

little or no taxes to pay.<br />

5.3 ORGANIZATIONAL STRUCTURE OF SUPERMARKETS<br />

It was observed that the organized <strong>supermarket</strong>s or <strong>supermarket</strong>s <strong>in</strong> multi outlet<br />

(cha<strong>in</strong> <strong>of</strong> <strong>supermarket</strong>s) firms/companies followed l<strong>in</strong>e, l<strong>in</strong>e and staff, and the functional<br />

categories <strong>of</strong> organizational structures whereas l<strong>in</strong>e organization was commonly followed <strong>in</strong><br />

un-organized <strong>supermarket</strong>s or <strong>supermarket</strong>s not <strong>in</strong> cha<strong>in</strong>. This may be because <strong>of</strong> huge<br />

<strong>in</strong>vestment and more number <strong>of</strong> activities <strong>in</strong> organized <strong>supermarket</strong>s and the reverse is true<br />

<strong>in</strong> un-organized <strong>supermarket</strong>s. The l<strong>in</strong>e organizational structure <strong>in</strong> both the <strong>supermarket</strong>s was<br />

found to be similar with the studies conducted by Ramdev (1998) and Mane (2000). They<br />

found that the both small and large scale agro-based units hav<strong>in</strong>g both less and high<br />

<strong>in</strong>vestments followed l<strong>in</strong>e organization type <strong>of</strong> structure because <strong>of</strong> fast communication, easy<br />

feed back and possibility to take easy and immediate corrective measures. The functional<br />

organizational structure followed <strong>in</strong> the organized <strong>supermarket</strong>s was found to be reliable<br />

when it is compared with the report presented by Kozachuk (2001) regard<strong>in</strong>g management<br />

practices exist<strong>in</strong>g <strong>in</strong> Russian enterprises, which were <strong>in</strong>appropriate for operat<strong>in</strong>g <strong>in</strong> market<br />

conditions due to lack <strong>of</strong> functional organizational structure <strong>in</strong> trad<strong>in</strong>g enterprises.<br />

The l<strong>in</strong>e organization is simple; authority and responsibility are clear cut, easily<br />

assignable and traceable. It is easy to develop a sense <strong>of</strong> belong<strong>in</strong>g to the organization.<br />

Communication is fast, easy and feed back from employees can be easily obta<strong>in</strong>ed and


immediate corrective measures can be applied. The discipl<strong>in</strong>e among employees can be<br />

ma<strong>in</strong>ta<strong>in</strong>ed easily and effectively.<br />

In l<strong>in</strong>e and staff organizational structures del<strong>in</strong>eation <strong>of</strong> organizational authority<br />

between management personnel (staff) hav<strong>in</strong>g overall plann<strong>in</strong>g and direction responsibilities<br />

and operational personnel (l<strong>in</strong>e) hav<strong>in</strong>g direct job performance responsibilities. Here staff is<br />

advisory to the l<strong>in</strong>e function.<br />

Similarly, functional organization structure is based on functional performance;<br />

organizational departments are created to fulfill organizational functions such as market<strong>in</strong>g,<br />

f<strong>in</strong>ance, and personnel. This type <strong>of</strong> organization has characteristics <strong>of</strong> both l<strong>in</strong>e and staff<br />

functions.<br />

5.3.1 Organizational structures <strong>of</strong> <strong>supermarket</strong>s <strong>in</strong> cha<strong>in</strong> (Organized<br />

Supermarkets<br />

In the hierarchy <strong>of</strong> these outlets/<strong>supermarket</strong>s, they have executive (Manag<strong>in</strong>g<br />

Director (MD)/Chief Executive Officer (CEO) to design, develop and implement the strategic<br />

plan for the company <strong>in</strong> most cost effective and time efficient manner and <strong>in</strong> turn he is<br />

responsible for both day-to-day runn<strong>in</strong>g <strong>of</strong> the company and develop<strong>in</strong>g bus<strong>in</strong>ess plans for<br />

the long term future <strong>of</strong> the <strong>supermarket</strong>s. He is assisted by General Managers (GM) <strong>of</strong><br />

different departments such as purchase, market<strong>in</strong>g, f<strong>in</strong>ance and the systems.<br />

The General Manager takes care <strong>of</strong> overall responsibility for manag<strong>in</strong>g both revenue<br />

and cost elements <strong>of</strong> their respective department. Usually he over see almost all the functions<br />

as well as day-to-day operations <strong>of</strong> their department. Frequently, He is also responsible for<br />

lead<strong>in</strong>g or coord<strong>in</strong>at<strong>in</strong>g the strategic plann<strong>in</strong>g functions <strong>of</strong> the <strong>supermarket</strong>s. The GM<br />

(Purchase) is assisted by an Assistant General Manager (AGM) <strong>in</strong> turn Purchase managers,<br />

Store managers, Supervisors and labourers <strong>in</strong> a hierarchy. The whole team is responsible for<br />

the complete purchase and procurement <strong>of</strong> related materials for the company such as price,<br />

quality, availability, reliability <strong>of</strong> the products and technical support when choos<strong>in</strong>g suppliers<br />

and merchandise. They try to get the best deal for their company, mean<strong>in</strong>g the highest quality<br />

goods and services at the lowest possible cost to their companies. The purchas<strong>in</strong>g managers,<br />

buyers, and purchas<strong>in</strong>g agents make up a key component <strong>of</strong> a firm’s supply cha<strong>in</strong>.<br />

The responsibilities <strong>of</strong> the GM (Market<strong>in</strong>g) and his team <strong>in</strong>volved <strong>in</strong> supervision,<br />

market<strong>in</strong>g, sales <strong>in</strong> the <strong>supermarket</strong>s. He is assisted by an AGM (Market<strong>in</strong>g), Shop<br />

managers, supervisors, cashiers, attenders, sales representatives and watchmen <strong>in</strong> a topdown<br />

hierarchy. The team looks after report<strong>in</strong>g, resale pric<strong>in</strong>g, <strong>in</strong>ventory, service ma<strong>in</strong>tenance<br />

and other duties as requested by management. In addition, the market<strong>in</strong>g people <strong>in</strong>volves <strong>in</strong><br />

develop<strong>in</strong>g and implement<strong>in</strong>g an annual market<strong>in</strong>g plan, direct<strong>in</strong>g division market<strong>in</strong>g activities,<br />

and develop<strong>in</strong>g an annual sales and promotion program<br />

The GM (F<strong>in</strong>ance) assisted by AGM (Accounts) and Accountants are responsible for<br />

ma<strong>in</strong>tenance <strong>of</strong> overall account<strong>in</strong>g and audit<strong>in</strong>g aspects <strong>of</strong> the bus<strong>in</strong>ess. They helped <strong>in</strong><br />

plann<strong>in</strong>g, budget<strong>in</strong>g, ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g records and accounts <strong>of</strong> employees, customers and<br />

suppliers<br />

F<strong>in</strong>ally, GM (System) looks after day to day operations <strong>of</strong> the <strong>supermarket</strong>s and is<br />

responsible for develop<strong>in</strong>g process, systems, quality and service standards.<br />

5.3.2 Organizational structures <strong>of</strong> <strong>supermarket</strong>s not <strong>in</strong> cha<strong>in</strong> (un-organized<br />

Supermarkets)<br />

The Proprietor or the Manager is the head and sole responsible for anyth<strong>in</strong>g <strong>in</strong> these<br />

<strong>supermarket</strong>s. He will be the decision maker <strong>in</strong> the organization usually assisted with<br />

Supervisors, Cashiers, Sales representatives and watchmen <strong>in</strong> a hierarchical way. The<br />

manager himself looks after purchas<strong>in</strong>g, <strong>in</strong>ventory and market<strong>in</strong>g activities. Some time, any<br />

person <strong>in</strong> the <strong>supermarket</strong> can be assigned for various activities like purchas<strong>in</strong>g, process<strong>in</strong>g,<br />

market<strong>in</strong>g and sales activities as desired by the manager.


5.4 PROCUREMENT MANAGEMENT IN SUPERMARKETS<br />

5.4.1 Exist<strong>in</strong>g procurement patterns<br />

It was observed from the Table 4.3 that only two types <strong>of</strong> purchas<strong>in</strong>g patterns such as<br />

centralized or store level purchas<strong>in</strong>g pattern were followed <strong>in</strong> <strong>supermarket</strong>s for procur<strong>in</strong>g the<br />

selected products. In order to establish and effectuate a uniform procedure for the handl<strong>in</strong>g <strong>of</strong><br />

purchas<strong>in</strong>g matters; to obta<strong>in</strong> the most suitable services and commodities at the lowest price;<br />

and to promote the best possible means <strong>of</strong> exercis<strong>in</strong>g f<strong>in</strong>ancial control over expenditures, the<br />

centralized purchas<strong>in</strong>g system was adopted by most <strong>of</strong> the organized <strong>supermarket</strong>s hav<strong>in</strong>g<br />

multi outlets/cha<strong>in</strong> <strong>of</strong> outlets. It also optimizes multi-store <strong>in</strong>ventory control from one central<br />

location to manage Just-In-Time replenishment. In contrast, store level purchas<strong>in</strong>g refers to<br />

the purchase <strong>of</strong> commodities for the <strong>in</strong>dividual outlets as and when necessary, mostly<br />

followed by the un-organized <strong>supermarket</strong>s.<br />

It was also noticed from the table that <strong>in</strong> Bangalore, cent per cent <strong>of</strong> the <strong>supermarket</strong>s<br />

followed centralized purchas<strong>in</strong>g pattern due to their multi outlet operations and organized<br />

form <strong>of</strong> <strong>retail<strong>in</strong>g</strong>. On the other hand, <strong>in</strong> Mangalore and Belgaum, cent per cent preferred store<br />

level purchas<strong>in</strong>g because <strong>of</strong> their s<strong>in</strong>gle outlet operations and un-organized structure <strong>of</strong><br />

<strong>retail<strong>in</strong>g</strong>. However, 66.67 per cent <strong>of</strong> <strong>supermarket</strong>s <strong>in</strong> Mysore, preferred store level<br />

purchas<strong>in</strong>g and 33.33 per cent have gone for centralized purchas<strong>in</strong>g and the reverse was<br />

found <strong>in</strong> Hubli-Dharwad depend<strong>in</strong>g upon their mode and size <strong>of</strong> operation. These results are<br />

<strong>in</strong> accordance with the study conducted by Woods et al (2000) while study<strong>in</strong>g the supply<br />

cha<strong>in</strong> concept for horticultural products. They found that many supply cha<strong>in</strong>s <strong>in</strong> smaller<br />

<strong>in</strong>dustries were loose, fragmented, <strong>in</strong>terwoven, unstable and unique. Hence, they suggested<br />

those firms operat<strong>in</strong>g <strong>in</strong> with<strong>in</strong> these environments needs an astute understand<strong>in</strong>g <strong>of</strong> the<br />

cha<strong>in</strong>s, the hierarchy <strong>of</strong> channel members and their relative position. In the study, he also<br />

suggested effective bus<strong>in</strong>ess strategies for <strong>in</strong>dividual firms and supply cha<strong>in</strong>s need to be<br />

developed and redeveloped to accommodate the dynamic nature <strong>of</strong> horticulture. Further, it<br />

was noticed from the Table 4.3 that all the <strong>supermarket</strong>s purchased groceries through APMC<br />

(Agricultural Produce Market Committee) <strong>in</strong> all the cities because <strong>of</strong> prevention <strong>of</strong> the exist<strong>in</strong>g<br />

rules and regulations <strong>of</strong> the Government to procure agricultural products from any other<br />

sources but fruits and vegetables were purchased directly from farmers and from wholesale<br />

markets. In addition, to these sources some <strong>supermarket</strong>s <strong>in</strong> Bangalore have their own<br />

production. In Mysore and Mangalore fruits and vegetables purchased through wholesale<br />

market only. On the other hand, no sale <strong>of</strong> fruits and vegetables were found <strong>in</strong> Belgaum and<br />

Hubli-Dharwad <strong>supermarket</strong>s. These results are equivalence with the results <strong>of</strong> the study<br />

reported by Narayana Reddy (2004), he stated that most (61 per cent) <strong>of</strong> the retailers get their<br />

requirements from wholesalers, 15 per cent from the large and other retailers. Over 17 per<br />

cent <strong>of</strong> the selected retailers get their goods from more than one source, but a small<br />

percentage <strong>of</strong> retailers get some <strong>of</strong> their requirements from producers. Apart from this, the<br />

study also shows that the organized retailers/hyper malls and super marketers get<br />

wholesales’ marg<strong>in</strong> plus concession as they buy <strong>in</strong> bulk and are also the producers.<br />

5.4.2 Monthly Average Quantity and Value <strong>of</strong> Procurement <strong>in</strong> Various<br />

Supermarkets across Cities<br />

5.4.2.1 Bangalore<br />

It was revealed from Table 4.4 that among grocery items, the average frequency <strong>of</strong><br />

purchase was ranged from four to five times <strong>in</strong> a month for groceries. Among the groceries,<br />

rice, wheat, green gram and tur dal and chilli were procured more frequently than mustard<br />

where<strong>in</strong> the procurement was 2.67 times a month. On the average, rice was procured <strong>in</strong><br />

highest (10.46 qu<strong>in</strong>tals) quantity followed by tur dal (2.77 qu<strong>in</strong>tals), green gram (2.38<br />

qu<strong>in</strong>tals), wheat (1.84 qu<strong>in</strong>tals), chilli (0.33 qu<strong>in</strong>tals) and mustard (0.24 qu<strong>in</strong>tals). The average<br />

quantity <strong>of</strong> purchase <strong>in</strong> cereals and pulses was high because <strong>of</strong> the high turnover and<br />

demand from the consumers as these are the daily use items. The grades like standard,<br />

premium and regular <strong>in</strong> Sona Masoori Rice and Byadgi stem less variety chilli were the major<br />

varieties procured <strong>in</strong> highest quantities based on the consumer preference. The average total<br />

amount spent on these items were found to be high <strong>in</strong> the total amount spent on these items<br />

was found to be high <strong>in</strong> rice (Rs. 86,446.58) followed by green gram (Rs. 51,451.11), tur dal<br />

(Rs. 42,543.19), wheat (Rs. 17,664.28), chilli (Rs. 10,375.28) and mustard (Rs. 1,603.34).


However, the average price per qu<strong>in</strong>tal was highest <strong>in</strong> chilli (Rs. 7,238.57) and lowest <strong>in</strong> rice<br />

(Rs. 1740.54). The ma<strong>in</strong> source <strong>of</strong> purchase for groceries was traders <strong>in</strong> APMC only.<br />

In case <strong>of</strong> fruits and vegetables, tomato was procured was highest (2.93 qu<strong>in</strong>tals)<br />

quantity followed by onion (2.68 qu<strong>in</strong>tals) and banana (1.25 qu<strong>in</strong>tals each), and apple (0.60<br />

qu<strong>in</strong>tals). High demand for tomato and onion was natural due to the daily use <strong>of</strong> these th<strong>in</strong>gs<br />

<strong>in</strong> <strong>food</strong> preparation by the consumers. On an average, the frequency <strong>of</strong> purchase was 10<br />

times a month <strong>in</strong> tomato and banana, 4.67 times <strong>in</strong> onion and 8.33 times <strong>in</strong> apple depend<strong>in</strong>g<br />

on their perishability nature. In addition to market, and direct procurement <strong>of</strong> tomato from<br />

farmers, own production was also observed <strong>in</strong> Bangalore <strong>supermarket</strong>s whereas the<br />

procurement <strong>in</strong> other fruits and vegetables was found to be from wholesale market only. The<br />

maximum amount spent <strong>in</strong> procurement <strong>of</strong> apple (Rs. 26,750.00) because <strong>of</strong> its high unit cost<br />

price.<br />

5.4.2.2 Mysore<br />

As presented <strong>in</strong> Table 4.5, the average monthly purchase frequency <strong>in</strong> groceries was<br />

found to be four times a month <strong>in</strong> case <strong>of</strong> rice, wheat, green gram, tur dal and chilli but it was<br />

two times <strong>in</strong> mustard because <strong>of</strong> its less demand. the highest quantity <strong>of</strong> commodity procured<br />

by the <strong>supermarket</strong>s was <strong>in</strong> rice (7.48 qu<strong>in</strong>tals) followed by green gram (1.58 qu<strong>in</strong>tals), tur dal<br />

(1.38 qu<strong>in</strong>tals), wheat (1.03 qu<strong>in</strong>tals), chilli (0.16 qu<strong>in</strong>tals) and mustard (0.12 qu<strong>in</strong>tals) <strong>in</strong><br />

grocery items. Based on the unit cost and quantity purchase the total amount spent by these<br />

<strong>supermarket</strong>s was maximum was observed <strong>in</strong> rice due to its high quantity procured and the<br />

m<strong>in</strong>imum was found <strong>in</strong> mustard (Rs. 583.33) as it was demanded <strong>in</strong> small quantity.<br />

The higher procurement <strong>in</strong>case <strong>of</strong> fruits and vegetables was observed <strong>in</strong> banana (20<br />

qu<strong>in</strong>tals) followed by tomato (12 qu<strong>in</strong>tals), onion (10 qu<strong>in</strong>tals) and apple (6 qu<strong>in</strong>tals)<br />

depend<strong>in</strong>g upon the demand for these products and the total amounts to Rs. 33,120 for<br />

apple, Rs. 33,000 for banana, Rs. 6,700 for onion and Rs. 6600 for tomato. The average<br />

frequency <strong>of</strong> purchase was 15 <strong>in</strong> tomato, 10 <strong>in</strong> banana and apple, but four <strong>in</strong> onion because<br />

<strong>of</strong> its hard<strong>in</strong>ess.<br />

5.4.2.3 Mangalore<br />

The average monthly purchase <strong>of</strong> selected commodities <strong>in</strong> Mangalore <strong>supermarket</strong>s<br />

shown <strong>in</strong> Table 4.6 reveals that the maximum quantity <strong>of</strong> grocery purchase was <strong>in</strong> rice (39.65<br />

qu<strong>in</strong>tals) followed by tur dal (6.82 qu<strong>in</strong>tals), green gram (5.63 qu<strong>in</strong>tals), wheat (2.48 qu<strong>in</strong>tals)<br />

chilli (0.69 qu<strong>in</strong>tals) and mustard (0.15 qu<strong>in</strong>tals) depend<strong>in</strong>g on their turnover <strong>in</strong> the<br />

<strong>supermarket</strong>s. The amount spent respective <strong>of</strong> the order was Rs. 64,186.33, Rs. 21,105.08,<br />

Rs. 25,071.11, Rs. 4,996.94, Rs. 1,623.90 and Rs. 361.00 based on their quantity purchased<br />

due to the demand for those products. The purchase frequency was 5.67 times a month <strong>in</strong><br />

rice, wheat, green gram, tur dal and chilli but 2.33 times a month <strong>in</strong> mustard because <strong>of</strong> its<br />

less demand. All these products were acquired from the traders <strong>in</strong> the APMC only.<br />

In fruits and vegetables, no sale <strong>of</strong> apple was noticed <strong>in</strong> Mangalore <strong>supermarket</strong>s<br />

because <strong>of</strong> non-availability <strong>of</strong> fruits <strong>in</strong> wholesale market and the dom<strong>in</strong>ance <strong>of</strong> traditional fruits<br />

sellers <strong>in</strong> the study area. However, more procurement <strong>in</strong> terms <strong>of</strong> quantity and total costs<br />

were observed <strong>in</strong> banana (9 qu<strong>in</strong>tals & Rs. 14,700) followed by onion (5.5 qu<strong>in</strong>tals & Rs.<br />

3,932.50) and tomato (4.5 qu<strong>in</strong>tals & Rs. 2,797.50). The unit costs were also observed <strong>in</strong> the<br />

same order, while the purchase frequency was 10 times a month <strong>in</strong> tomato and five times <strong>in</strong><br />

onion. All these products were also purchased from the wholesale market.<br />

5.4.2.4 Belgaum<br />

The frequency <strong>of</strong> purchase <strong>of</strong> groceries <strong>in</strong> Belgaum was differed from commodity to<br />

commodity (Table 4.7) that is 4.39 times a month <strong>in</strong> rice, 4.67 times a month <strong>in</strong> wheat, 4.33<br />

times a month <strong>in</strong> green gram, 4.42 times a month <strong>in</strong> tur dal, 4.33 times a month <strong>in</strong> chilli and<br />

two times a month <strong>in</strong> mustard for the reason that the <strong>supermarket</strong>s purchases the products<br />

whenever need arises. All these products were procured from APMC only. In addition, the<br />

table also revealed that rice (13.95 qu<strong>in</strong>tals) was the major commodity procured by the<br />

<strong>supermarket</strong>s followed by tur dal (4.25 qu<strong>in</strong>tals), wheat (3.83 qu<strong>in</strong>tals), chilli (0.19 qu<strong>in</strong>tals)<br />

and mustard (0.09 qu<strong>in</strong>tals). At the same time, the estimated total amount were Rs.<br />

21,962.78, Rs. 12,562.50, Rs. 12,611.39, Rs. 6,974.31, Rs. 1,292 and Rs. 196.44 <strong>in</strong> case <strong>of</strong><br />

rice, tur dal, green gram, wheat, chilli and mustard, respectively based on their unit cost and


quantity purchased. However, these products were brought from APMC only as it is the only<br />

regulat<strong>in</strong>g body for market<strong>in</strong>g <strong>of</strong> agricultural commodities.<br />

No sale <strong>of</strong> fruits and vegetables were noticed <strong>in</strong> <strong>supermarket</strong>s <strong>of</strong> this city due to lack<br />

<strong>of</strong> <strong>in</strong>frastructural facilities required to handle these products <strong>in</strong> the <strong>supermarket</strong>s. Apart from<br />

this fact, the other reasons op<strong>in</strong>ed by the retailers were lack <strong>of</strong> availability <strong>of</strong> fruits and<br />

vegetables regularly, existence <strong>of</strong> traditional fruit and vegetables vendors <strong>in</strong> the city, lack <strong>of</strong><br />

manpower to look out <strong>of</strong> these products as these are marketed <strong>in</strong> everyday early morn<strong>in</strong>g.<br />

5.4.2.5 Hubli-Dharwad<br />

The results <strong>of</strong> Table 4.8 reported that the average monthly quantity and value<br />

products procurement <strong>of</strong> commodities by the <strong>supermarket</strong>s <strong>in</strong> Hubli-Dharwad city. It was rice<br />

followed by green gram, tur dal, wheat, chilli and mustard were procured <strong>in</strong> the order <strong>of</strong> 26.77<br />

qu<strong>in</strong>tals, 5.75 qu<strong>in</strong>tals, 5.22 qu<strong>in</strong>tals, 5.50 qu<strong>in</strong>tals, 0.26 qu<strong>in</strong>tals and 0.18 qu<strong>in</strong>tals,<br />

respectively. The amount spent was also high <strong>in</strong> those respective commodities. The<br />

frequency <strong>of</strong> purchase was 3.67 times <strong>in</strong> rice, wheat, green gram, tur dal and two <strong>in</strong> mustard.<br />

No sale <strong>of</strong> fruits and vegetables were seen <strong>in</strong> Hubli-Dharwad which are attributed to<br />

the reasons that lack <strong>of</strong> <strong>in</strong>frastructural facilities to handle these products like lack <strong>of</strong><br />

manpower, cold storage, non-availability <strong>of</strong> products etc. Like <strong>in</strong> other cities, the grocery items<br />

were procured from the market.<br />

5.4.2.5 Overall<br />

The overall monthly average quantity and value <strong>of</strong> products procurement across cities<br />

<strong>in</strong> Karnataka presented <strong>in</strong> Table 4.9 revealed that the average frequency <strong>of</strong> purchase <strong>in</strong><br />

groceries was ranged from four to five times a month but it was only 2.2 times <strong>in</strong> mustard. The<br />

quantity purchased was also more <strong>in</strong> rice (7.69 qu<strong>in</strong>tals) followed by tur dal (1.55 qu<strong>in</strong>tals),<br />

green gram (1.42 qu<strong>in</strong>tals), wheat (1.09 qu<strong>in</strong>tals), chilli (0.21 qu<strong>in</strong>tals) and mustard (0.12<br />

qu<strong>in</strong>tals). This is attributed to the fact that the turnover <strong>in</strong> cereals and pulses was much more<br />

when compared with spices, as these products are the daily use items by the consumers and<br />

hence, the demand was more <strong>in</strong> these commodities. The cost per qu<strong>in</strong>tal was highest <strong>in</strong> chilli<br />

while least <strong>in</strong> rice. Further, the total amount spent found to be much <strong>in</strong> rice (Rs. 57,715.31)<br />

due to its high quantity purchase. It was also reported that the APMC was the only source <strong>of</strong><br />

purchase for grocery products as it is the only govern<strong>in</strong>g body for market<strong>in</strong>g <strong>of</strong> agricultural<br />

commodities. The exist<strong>in</strong>g policies <strong>of</strong> the government also prevents from other sources.<br />

With respect to fruits and vegetables, the purchase frequency was more <strong>in</strong> tomato<br />

(10.83) and banana (10.00) due to their perishability nature <strong>of</strong> the products <strong>in</strong> general and<br />

tomato <strong>in</strong> particular and also to avoid wastages dur<strong>in</strong>g storage. Correspond<strong>in</strong>gly, the quantity<br />

purchased was high <strong>in</strong> banana as the demand for this product was more. Apart from own<br />

production and direct purchase <strong>of</strong> fruits and vegetables from farmers by the <strong>supermarket</strong>s <strong>in</strong><br />

Bangalore, all <strong>supermarket</strong>s <strong>in</strong> various cities purchased fruits and vegetables from wholesale<br />

markets only.<br />

5.4.3 Monthly costs <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong> commodities by <strong>supermarket</strong>s<br />

<strong>in</strong> different cities<br />

5.4.3.1 Bangalore<br />

It could be seen from the Table 4.10 that the average monthly costs <strong>in</strong>curred <strong>in</strong><br />

procurement <strong>of</strong> selected commodities by <strong>supermarket</strong>s <strong>in</strong> Bangalore city. Among grocery<br />

items, rice accounts for highest total cost (Rs. 88,545.75) <strong>in</strong> procurement followed by green<br />

gram (Rs. 52,010.28), tur dal (Rs. 43,091.11), wheat (Rs. 18,135.11), chilli (Rs. 5,955.39) and<br />

mustard (Rs. 1,773.52), where<strong>in</strong> the quantity purchased was 49.67 qu<strong>in</strong>tals <strong>in</strong> rice, 12.92<br />

qu<strong>in</strong>tals <strong>in</strong> tur dal, 11.08 qu<strong>in</strong>tals <strong>in</strong> green gram, 8.58 qu<strong>in</strong>tals <strong>in</strong> wheat, 0.77 qu<strong>in</strong>tals <strong>in</strong> chilli<br />

and 0.64 qu<strong>in</strong>tals <strong>in</strong> mustard. It was found from the study that next to price <strong>of</strong> the product,<br />

transport costs were the prime costs <strong>in</strong> procurement and the sales tax at the rate <strong>of</strong> four per<br />

cent seen only <strong>in</strong> case <strong>of</strong> spices. However, the costs observed <strong>in</strong> transport were Rs. 2,099.17,<br />

Rs. 559.17, Rs. 547.92, Rs. 470.83, Rs. 128.33 and Rs. 106.20 <strong>in</strong> rice, green gram, tur dal,<br />

wheat, chilli and mustard respectively. The sales tax at the rate <strong>of</strong> four per cent seen only <strong>in</strong><br />

case <strong>of</strong> spices and it was found to be highest <strong>of</strong> Rs. 224.00 <strong>in</strong> chilli as the unit cost <strong>of</strong> the


product itself was high. The total cost per qu<strong>in</strong>tal was also high <strong>in</strong> chilli when compared to<br />

other commodities.<br />

As <strong>in</strong> the case <strong>of</strong> groceries, transport costs were also found to be high <strong>in</strong> fruits and<br />

vegetables. The costs were Rs. 2,625.00 <strong>in</strong> tomato, Rs. 675 each <strong>in</strong> banana and apple, and<br />

Rs. 275 <strong>in</strong> onion. The high total transport costs <strong>in</strong> tomato and banana attributed to high<br />

quantity purchase primarily. In addition, these vegetables are more perishable than the other<br />

two (onion and apple) and needs special care while transport <strong>in</strong>clud<strong>in</strong>g the transport material.<br />

Further, tomato was procured <strong>in</strong> highest (29.25 qu<strong>in</strong>tals) quantity because <strong>of</strong> more demand<br />

from the consumers. Onion and banana stands next to tomato <strong>in</strong> terms <strong>of</strong> quantity purchased<br />

(12.50 qu<strong>in</strong>tals each). Apple procurement was very meager (5 qu<strong>in</strong>tals) because <strong>of</strong> its high<br />

unit cost and less demand from the consumers.<br />

5.4.3.2 Mysore<br />

In Mysore, the highest total cost was accounted by rice (Rs. 51,080.56) due to<br />

its higher quantity purchased and the m<strong>in</strong>imum was accounted by mustard (Rs. 646) as it was<br />

purchased <strong>in</strong> small quantity (0.23 qu<strong>in</strong>tals). Based on the quantity purchased, the proportion<br />

<strong>of</strong> transport cost was higher <strong>in</strong> rice that is Rs. 1,282.67 followed by green gram (Rs. 273.33),<br />

tur dal (Rs.238.00), wheat (Rs. 204.33), chilli (Rs. 99.67) and mustard (Rs. 39.33). In addition,<br />

the sales tax was also found <strong>in</strong> spices.<br />

In fruits and vegetables, the utmost procurement seen <strong>in</strong> banana (20 qu<strong>in</strong>tals) and<br />

less <strong>in</strong> apple (6 qu<strong>in</strong>tals) thus the total cost were also high (Rs. 34,000 and Rs. 33,420) <strong>in</strong><br />

respective commodities. The transport costs were more <strong>in</strong> banana (Rs. 1,000) and least <strong>in</strong><br />

apple (Table 4.11).<br />

5.4.3.3 Mangalore<br />

The average monthly costs <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong> selected commodities by<br />

<strong>supermarket</strong> <strong>in</strong> Mangalore city depicted <strong>in</strong> Table 4.12 shows that the maximum quantity <strong>of</strong><br />

groceries purchased was <strong>in</strong> rice (39.65 qu<strong>in</strong>tals) followed by tur dal (6.82 qu<strong>in</strong>tals), green<br />

gram (5.63 qu<strong>in</strong>tals), wheat (2.48 qu<strong>in</strong>tals) and chilli (0.69 qu<strong>in</strong>tals) and the maximum cost<br />

was also <strong>in</strong>curred <strong>in</strong> rice (Rs. 65,539.00) because <strong>of</strong> its high turnover. Mustard was procured<br />

<strong>in</strong> m<strong>in</strong>imum quantity due to its less demand and consumption by the consumers. Relatively<br />

high transports cost (Rs. 1,352.67) was found <strong>in</strong> rice and low (Rs. 26.08) <strong>in</strong> mustard<br />

depend<strong>in</strong>g on their quantity purchased. The local sale tax at the rate <strong>of</strong> four per cent was<br />

prevailed <strong>in</strong> this market too which is highest <strong>of</strong> Rs. 198.06 accounted <strong>in</strong> chilli.<br />

No sale <strong>of</strong> apple was noticed <strong>in</strong> Mangalore <strong>supermarket</strong>s because <strong>of</strong> non-availability<br />

<strong>of</strong> the product <strong>in</strong> wholesale market and the dom<strong>in</strong>ance <strong>of</strong> traditional fruit sellers <strong>in</strong> the town.<br />

More procurement and total costs were observed <strong>in</strong> banana (9 qu<strong>in</strong>tals & Rs. 15,150)<br />

followed by onion (5.5 qu<strong>in</strong>tals & Rs. 4,207.50) and tomato (4.5 qu<strong>in</strong>tals & Rs.<br />

3,022.50)depend<strong>in</strong>g on their quantity handled.<br />

5.4.3.4 Belgaum<br />

It could be seen from the Table 4.13 that the average monthly costs <strong>in</strong>curred <strong>in</strong><br />

procurement <strong>of</strong> commodities <strong>in</strong> Belgaum <strong>supermarket</strong>s, rice (13.95 qu<strong>in</strong>tals) was the major<br />

commodity procured by the <strong>supermarket</strong>s followed by tur dal (4.25 qu<strong>in</strong>tals), wheat (3.83<br />

qu<strong>in</strong>tals), green gram (2.98 qu<strong>in</strong>tals), chilli (0.19 qu<strong>in</strong>tals) and mustard (0.09 qu<strong>in</strong>tals) <strong>in</strong><br />

Mysore <strong>supermarket</strong>s. Correspond<strong>in</strong>g total costs were Rs. 22,415.28, Rs. 12,712.22, Rs.<br />

12,706.67, Rs. 7,095.97, Rs. 1,370 and Rs. 216.48 <strong>in</strong> case <strong>of</strong> rice, green gram, tur dal, wheat,<br />

chilli and mustard, respectively, because <strong>of</strong> their high quantity purchased and high unit cost.<br />

The total transport costs were found to be high <strong>in</strong> rice (Rs. 452.50) followed by tur dal (Rs.<br />

144.17) and wheat (Rs. 121.67) for the same reason. The local sales tax <strong>in</strong> spices was more<br />

(Rs. 51.70) <strong>in</strong> chilli as compared to mustard for the simple reason that the unit cost <strong>of</strong> chilli<br />

was more than the mustard. No sale <strong>of</strong> fruits and vegetables were noticed <strong>in</strong> Belgaum city<br />

<strong>supermarket</strong>s because <strong>of</strong> lack <strong>of</strong> <strong>in</strong>frastructural facilities to handle these products.<br />

5.4.3.5 Hubli-Dharwad<br />

It could be seen from the Table 4.14 that rice followed by green gram, wheat, tur dal,<br />

chilli and mustard were procured <strong>in</strong> rice followed by green gram, wheat, tur dal, chilli and<br />

mustard were procured <strong>in</strong> their higher order <strong>of</strong> 29.77 qu<strong>in</strong>tals, 5.75 qu<strong>in</strong>tals, 5.50 qu<strong>in</strong>tals,


5.22 qu<strong>in</strong>tals, 0.26 qu<strong>in</strong>tals and 0.18 qu<strong>in</strong>tals respectively, <strong>in</strong> Hubli-Dharwad. As it was<br />

observed <strong>in</strong> the earlier cities that the sales tax was applied only for spices and chilli was the<br />

maximum contributor (Rs. 71.36) for it. However, the transport costs were high <strong>in</strong> green gram<br />

followed by wheat. Here also no sale <strong>of</strong> fruits and vegetables were observed because <strong>of</strong> lack<br />

<strong>of</strong> <strong>in</strong>frastructural facilities to handle these fruits and vegetables and also due to nonavailability<br />

<strong>of</strong> these products and product suppliers regularly.<br />

5.4.4 Average Monthly costs Incurred <strong>in</strong> Procurement <strong>of</strong> Commodities by<br />

Supermarkets <strong>in</strong> Karnataka<br />

As it was observed from Table 4.15 that at an overall, rice (34.65 qu<strong>in</strong>tals) followed<br />

by tur dal (6.95 qu<strong>in</strong>tals), green gram (6.36 qu<strong>in</strong>tals), wheat (4.91 qu<strong>in</strong>tals), chilli (0.65<br />

qu<strong>in</strong>tals) and mustard (0.26 qu<strong>in</strong>tals) were the major groceries procured by the <strong>supermarket</strong>s<br />

as these are the daily use items by the consumers and hence the demand was more <strong>in</strong> these<br />

cases. Whereas, <strong>in</strong> case <strong>of</strong> spices such as chilli and mustard the quantity purchased was very<br />

meager (less than 0.5 qu<strong>in</strong>tals/month) because <strong>of</strong> less turnover <strong>in</strong> these commodities. In<br />

proportion to the quantity, the total costs were also found high <strong>in</strong> respective commodities.<br />

However, the average cost per qu<strong>in</strong>tal accounted was Rs. 6,839.55 for chilli, Rs. 4,458.11for<br />

green gram, Rs. 3,166.29 for tur dal, Rs. 2,671.88 for mustard, Rs. 1,978.39 for wheat and<br />

Rs. 1704.20 for rice. The sales tax was found only <strong>in</strong> spices and it was Rs. 87.42 <strong>in</strong> chilli<br />

which is followed by mustard.<br />

Similarly, <strong>in</strong> case <strong>of</strong> fruits and vegetables, the purchase was highest <strong>in</strong> case <strong>of</strong> tomato<br />

(23.25 qu<strong>in</strong>tals) followed by banana (13.83 qu<strong>in</strong>tals), onion (9.33 qu<strong>in</strong>tals) and apple (5.50<br />

qu<strong>in</strong>tals). The total costs <strong>in</strong>curred were Rs. 24,148.15, Rs. 7,058.15 and Rs. 12,070.33 for<br />

apple, banana, onion and tomato depend<strong>in</strong>g on their demand prevalence. The transport costs<br />

seems to be more <strong>in</strong> tomato (Rs. 1,612.50) as it is very perishable and purchased <strong>in</strong> high<br />

quantity compared to other products and less <strong>in</strong> apple (Rs. 287.50).<br />

It was found from Table 4.16 that the commodity-wise costs <strong>in</strong>curred <strong>in</strong> procurement<br />

<strong>of</strong> commodities by <strong>supermarket</strong>s <strong>in</strong> selected cities across Karnataka shown that on an<br />

average among groceries, rice was the major commodity procured <strong>in</strong> highest quantity (159.97<br />

qu<strong>in</strong>tals) followed by tur dal (34.73 qu<strong>in</strong>tals), green gram (31.78 qu<strong>in</strong>tals), wheat (24.53<br />

qu<strong>in</strong>tals), chilli (2.55 qu<strong>in</strong>tals) and mustard (1.29 qu<strong>in</strong>tals) but the total costs were high <strong>in</strong> rice<br />

(Rs. 2,73,090.19) and aga<strong>in</strong> least <strong>in</strong> mustard (Rs. 3,506.21). It was also well noted from the<br />

table that <strong>in</strong> all the commodities, quantity procured and their unit costs were found to be high<br />

<strong>in</strong> Bangalore alone. It may be due to the higher average size <strong>of</strong> the <strong>supermarket</strong>s and high<br />

turnover <strong>of</strong> the commodities. In contrast, the commodity procurement was found to be less <strong>in</strong><br />

Belgaum due to the existence small sized un-organized <strong>supermarket</strong>s and their small<br />

turnover. The local sales tax <strong>of</strong> four per cent on spices found <strong>in</strong> all the cities and slightly high<br />

sales tax was observed <strong>in</strong> chilli (Rs. 731.44) compared to mustard (Rs. 126.40). The transport<br />

costs varied accordance with the quantity purchased <strong>in</strong> all the cities and <strong>in</strong> all the<br />

commodities. However, the highest was noticed <strong>in</strong> rice and the least <strong>in</strong> mustard.<br />

In fruits and vegetables, the quantity procured was maximum <strong>in</strong> banana (13.83<br />

qu<strong>in</strong>tals) followed by tomato (45.75 qu<strong>in</strong>tals) followed by banana (41.50 qu<strong>in</strong>tals), onion<br />

(28.00 qu<strong>in</strong>tals) and apple (11.00 qu<strong>in</strong>tals). It was depend<strong>in</strong>g upon their exist<strong>in</strong>g demand,<br />

whereas, the cost per qu<strong>in</strong>tal and total costs <strong>in</strong>curred were more <strong>in</strong> banana (Rs.<br />

1,742.77/qu<strong>in</strong>tal and Rs. 72,325.00 total cost) followed by apple (Rs. 5,495.00/qu<strong>in</strong>tal and Rs.<br />

60,445.00 total cost), onion (Rs. 756.67/qu<strong>in</strong>tal and Rs. 21,186.67 total cost) and tomato (Rs.<br />

539.26/qu<strong>in</strong>tal and Rs. 24,671.25 total cost). The table also <strong>in</strong>dicated that the fruits and<br />

vegetables procured from various sources such as wholesale market, own production and<br />

direct purchase from farmers Except Bangalore, almost all the cities purchased fruits and<br />

vegetables from wholesale market only. The transport costs detected high <strong>in</strong> tomato (Rs.<br />

2,467.25) and banana (Rs. 2,125.00) as the quantity procured was high <strong>in</strong> these<br />

commodities. It was note worthy to mention that total costs per qu<strong>in</strong>tal <strong>in</strong> all the commodities<br />

were also found to be high <strong>in</strong> Bangalore only, except tomato. This is ma<strong>in</strong>ly because <strong>of</strong> the<br />

reason that the <strong>supermarket</strong>s <strong>in</strong> Bangalore procur<strong>in</strong>g tomato from more than one source such<br />

as direct procurement from the farmers and wholesale markets (like auction market- Safal<br />

Company which is ma<strong>in</strong>ly deal<strong>in</strong>g with auction<strong>in</strong>g <strong>of</strong> fruits and vegetables and other fruits and<br />

vegetables markets <strong>in</strong> the city). Apart from this, own production <strong>of</strong> fruits and vegetables was<br />

also observed <strong>in</strong> few <strong>supermarket</strong>s.


City-wise average monthly cost <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong> commodities by the<br />

<strong>supermarket</strong>s (Table 4.17) found that the monthly total quantity procured was highest <strong>in</strong><br />

Bangalore (142.90 qu<strong>in</strong>tals) followed by Mysore (94.81 qu<strong>in</strong>tals), Mangalore (74.63 qu<strong>in</strong>tals),<br />

Hubli-Dharwad (43.67 qu<strong>in</strong>tals) and Belgaum (25.29 qu<strong>in</strong>tals) depend<strong>in</strong>g on size<br />

<strong>supermarket</strong>s and the turnovers <strong>in</strong> respective cities. Sometimes organizations are <strong>of</strong> the<br />

<strong>supermarket</strong>s created large at the outset, usually because size is an advantage or a<br />

necessity. For example, the owner <strong>of</strong> an <strong>in</strong>dependent <strong>supermarket</strong> does not open a small<br />

store <strong>in</strong> a newly built subdivision and then grow larger as demand warrants. Instead, a large<br />

store is designed and built that has the capacity to deal with the expected number <strong>of</strong><br />

customers <strong>in</strong> the neighborhood. A small grocery store could not compete effectively <strong>in</strong> price<br />

and selection with other nearby <strong>supermarket</strong>s. In the same way, the total costs were <strong>in</strong><br />

descend<strong>in</strong>g order <strong>in</strong> these cities. Similarly, the transport costs were Rs. 8,162.62, Rs.<br />

4,537.33, Rs. 3,530.98, Rs. 858.07 and Rs. 1,675.87 <strong>in</strong> Bangalore, Mysore, Mangalore,<br />

Belgaum and Hubli-Dharwad. However, depend<strong>in</strong>g on the quantity procured total costs <strong>in</strong><br />

different commodities varied across cities.<br />

5.5 INVENTORY MANAGEMENT AND ITS COSTS IN<br />

SUPERMARKETS<br />

Inventory refers to stocks <strong>of</strong> products, which represents a large portion <strong>of</strong> the<br />

bus<strong>in</strong>ess <strong>in</strong>vestment and must be well managed <strong>in</strong> order to maximize pr<strong>of</strong>its. Raw materials<br />

<strong>in</strong>ventory, work <strong>in</strong> process <strong>in</strong>ventory, f<strong>in</strong>ished products <strong>in</strong>ventory and work <strong>in</strong> sales <strong>in</strong>ventory<br />

represents the various forms <strong>of</strong> <strong>in</strong>ventories ma<strong>in</strong>ta<strong>in</strong>ed by the <strong>supermarket</strong>s. Each type<br />

represents money tied up until the <strong>in</strong>ventory leaves the company as purchased products. In<br />

fact, many small bus<strong>in</strong>esses like <strong>supermarket</strong> cannot absorb the types <strong>of</strong> losses aris<strong>in</strong>g from<br />

poor <strong>in</strong>ventory management. Unless <strong>in</strong>ventories are controlled, they are unreliable, <strong>in</strong>efficient<br />

and costly. Inventory Management and Inventory Control must be designed to meet the<br />

dictates <strong>of</strong> the marketplace and support the company's strategic plan. The major costs<br />

<strong>in</strong>volved <strong>in</strong> ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g <strong>in</strong>ventories <strong>in</strong> the <strong>supermarket</strong>s are <strong>in</strong>terest on work<strong>in</strong>g capital,<br />

shr<strong>in</strong>kage, labour charges, pack<strong>in</strong>g material and cold storage charges.<br />

5.5.1 Cost <strong>of</strong> Inventories and Preparation <strong>of</strong> Products for Sale <strong>in</strong> Supermarket<br />

<strong>of</strong> Different Cities<br />

5.5.1.1 Bangalore<br />

The costs <strong>of</strong> <strong>in</strong>ventory and prepar<strong>in</strong>g the products for sale <strong>in</strong> Bangalore city<br />

presented <strong>in</strong> Table 4.18 revealed that <strong>supermarket</strong>s ma<strong>in</strong>ta<strong>in</strong>ed short time period <strong>in</strong>ventories<br />

<strong>in</strong> almost all the commodities. It may be due to the reason that they do not want to get caught<br />

with obsolete items and just try to have an adequate <strong>in</strong>ventory on hand. These Just-<strong>in</strong>-time<br />

<strong>in</strong>ventory and Material Requirements Plann<strong>in</strong>g (MRP) management approaches works to<br />

elim<strong>in</strong>ate <strong>in</strong>ventories rather than optimize them. These reports are on par with the results<br />

obta<strong>in</strong>ed by Farsad and LeBruto (1993). They reported that the consequences <strong>of</strong><br />

overstock<strong>in</strong>g items or understock<strong>in</strong>g were undesirable. Overstocks absorb money and <strong>in</strong>vite<br />

waste <strong>in</strong> <strong>food</strong> <strong>in</strong>ventory management. Further, from better <strong>in</strong>ventory management controls to<br />

new loss prevention methods, retailers are <strong>in</strong>tegrat<strong>in</strong>g more technology <strong>in</strong>itiatives <strong>in</strong>to their<br />

operations to run more efficient stores.<br />

In groceries, particularly <strong>in</strong> cereals and pulses, the <strong>in</strong>ventory period was ranged<br />

between four to five days but <strong>in</strong> spices it ranged from four to 11 days. While <strong>in</strong> case <strong>of</strong> fruits<br />

and vegetables the period ranged between three to five days because <strong>of</strong> perishability <strong>of</strong> these<br />

products.<br />

The volume <strong>of</strong> <strong>in</strong>ventories found to be high <strong>in</strong> rice (10.64 qu<strong>in</strong>tals) followed by tur dal<br />

(2.77 qu<strong>in</strong>tals), green gram (2.38 qu<strong>in</strong>tals), wheat (1.84 qu<strong>in</strong>tals), chilli (0.33 qu<strong>in</strong>tals) and<br />

mustard (0.24 qu<strong>in</strong>tals) <strong>in</strong> groceries, the respective <strong>in</strong>ventories valued at Rs. 19,535.04, Rs.<br />

9,597.36, Rs. 11,555.50, Rs. 3,983.60, Rs. 2,539.35 and Rs. 656.28 based on their turnover<br />

<strong>in</strong> turn due to consumer demand for essential and daily use items. The f<strong>in</strong>ished product<br />

<strong>in</strong>ventory was observed to be highest both <strong>in</strong> terms <strong>of</strong> quantity and storage period as the<br />

bus<strong>in</strong>ess <strong>in</strong>volves quick conversion <strong>of</strong> <strong>in</strong>ventory and hence the mangers must formulate a<br />

plan to ensure enough <strong>in</strong>ventories is on hand for production <strong>of</strong> f<strong>in</strong>ished product. The f<strong>in</strong>ished<br />

product stock was 6.94 qu<strong>in</strong>tals <strong>in</strong> rice valued at Rs. 12,670.85 held for 1.40 days, 1.35


qu<strong>in</strong>tals <strong>in</strong> wheat valued at Rs. 2,896.48 held for 1.50 days and 2.00 qu<strong>in</strong>tals <strong>in</strong> tur dal valued<br />

at Rs. 6,951.65 held for 1.60 days. Next to the f<strong>in</strong>ished product <strong>in</strong>ventory, most <strong>of</strong> the product<br />

was deta<strong>in</strong>ed at work <strong>in</strong> sales <strong>in</strong>ventory and raw material <strong>in</strong>ventory. The work <strong>in</strong> sales<br />

<strong>in</strong>ventory should be ma<strong>in</strong>ta<strong>in</strong>ed to reta<strong>in</strong> the prospective customers from the psychological<br />

po<strong>in</strong>t <strong>of</strong> view. However, the work <strong>in</strong> sales <strong>in</strong>ventory <strong>in</strong> tur dal was 0.18 qu<strong>in</strong>tals for 1.10 days,<br />

<strong>in</strong> wheat was 0.18 qu<strong>in</strong>tals for 1.30 days and <strong>in</strong> rice was 1.54 qu<strong>in</strong>tals for 1.20 days. The<br />

storage period <strong>of</strong> work <strong>in</strong> process <strong>in</strong>ventory was low (less than a day) <strong>in</strong> almost all the<br />

products because as soon as the raw material comes they will subject the material to work <strong>in</strong><br />

process to make it ready for the f<strong>in</strong>ished product stage.<br />

In case <strong>of</strong> <strong>in</strong>ventory costs, the packag<strong>in</strong>g material and labour charges for clean<strong>in</strong>g<br />

and pack<strong>in</strong>g were found to be the major cost components <strong>in</strong> all the commodities. Packag<strong>in</strong>g is<br />

an important cost component <strong>in</strong> <strong>supermarket</strong>s <strong>in</strong>ventory as it <strong>in</strong>volves costs <strong>in</strong> gett<strong>in</strong>g good<br />

quality pack<strong>in</strong>g materials which should have good appearance, durable and pr<strong>in</strong>table form to<br />

deliver the products <strong>in</strong> an excit<strong>in</strong>g presentations with differences <strong>in</strong> size and weight <strong>of</strong> packets<br />

with their own brand names. Most <strong>of</strong> the <strong>supermarket</strong>s have their own brand names which<br />

create an image <strong>in</strong> the m<strong>in</strong>ds <strong>of</strong> customers <strong>in</strong> turn help <strong>in</strong> attract<strong>in</strong>g them. However, Rs.<br />

867.39 and Rs. 346.96 <strong>in</strong> tur dal, Rs. 202.08 and Rs. 67.36 <strong>in</strong> wheat and Rs. 171.84 and Rs.<br />

68.74 <strong>in</strong> green gram. The m<strong>in</strong>or costs <strong>in</strong>clude <strong>in</strong>terest on work<strong>in</strong>g capital at the rate <strong>of</strong> 12.5<br />

per cent and shr<strong>in</strong>kage/wastage <strong>of</strong> the product. The shr<strong>in</strong>kage costs were Rs. 229.30 <strong>in</strong> green<br />

gram, Rs. 191.74 <strong>in</strong> tur dal, Rs. 195.56 <strong>in</strong> rice. At an average, the qu<strong>in</strong>tal was more <strong>in</strong> chilli<br />

(Rs. 393.87) followed by mustard (Rs. 253.90), green gram (Rs. 201.61), tur dal (Rs. 201.28),<br />

wheat (Rs. 172.07) and rice (Rs.136.95).<br />

In fruits and vegetables, the quantity <strong>of</strong> <strong>in</strong>ventory ma<strong>in</strong>ta<strong>in</strong>ed and their values were<br />

high <strong>in</strong> onion (2.68 qu<strong>in</strong>tals valued at Rs. 2,488.38) and low <strong>in</strong> apple (0.60 qu<strong>in</strong>tals valued at<br />

Rs. 3819.60). In addition, the quantity ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> tomato was 2.68 qu<strong>in</strong>tals with the worth<br />

<strong>of</strong> Rs. 1,874.47 and <strong>in</strong> banana was 1.25 qu<strong>in</strong>tals with the worth <strong>of</strong> Rs. 2,805.63. The work <strong>in</strong><br />

process and f<strong>in</strong>ished product <strong>in</strong>ventories were m<strong>in</strong>imum <strong>in</strong> case <strong>of</strong> banana and apple as most<br />

<strong>of</strong> these directly sold <strong>in</strong> the shop by just manual clean<strong>in</strong>g and grad<strong>in</strong>g. Alike groceries, the<br />

f<strong>in</strong>ished product <strong>in</strong>ventories <strong>in</strong> fruits and vegetables were ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> higher quantity and<br />

for lengthy period <strong>in</strong> tomato long period <strong>in</strong> tomato (2.10 qu<strong>in</strong>tals for 1.60 days) and onion<br />

(1.82 qu<strong>in</strong>tals for 1.90 days) on the other hand, raw material <strong>in</strong>ventory was found maximum <strong>in</strong><br />

tomato (0.41 qu<strong>in</strong>tals for 0.80 days) and banana (0.31 qu<strong>in</strong>tals for 2.20 days). On the other<br />

hand, raw material <strong>in</strong>ventory <strong>in</strong> banana was 1.05 qu<strong>in</strong>tals for 0.52 days and apple was 0.25<br />

qu<strong>in</strong>tals for 1.12 days. In <strong>in</strong>ventory, shr<strong>in</strong>kage cost was perceived to be the highest cost <strong>in</strong><br />

apple (Rs. 390.76) followed by banana (Rs. 293.18), onion (Rs. 248.83) and tomato (Rs.<br />

193.23). The cold storage cost was Rs. 105.07 <strong>in</strong> tomato, Rs. 38.44 <strong>in</strong> banana and Rs. 20.29<br />

<strong>in</strong> apple and the per unit cost seems to be same for all commodities. In contrast, no cold<br />

storage was used for onion because <strong>of</strong> its sturd<strong>in</strong>ess. Nevertheless, the total <strong>in</strong>ventory cost<br />

per qu<strong>in</strong>tal was <strong>in</strong> descend<strong>in</strong>g order <strong>in</strong> apple (Rs. 759.51) followed by banana (Rs. 327.91),<br />

tomato (Rs. Rs. 227.42) and onion (Rs. 227.42).<br />

5.5.1.2 Mysore<br />

The costs <strong>of</strong> <strong>in</strong>ventory and prepar<strong>in</strong>g the product for sale <strong>in</strong> Mysore <strong>supermarket</strong>s<br />

presented <strong>in</strong> Table 4.19 revealed that storage period <strong>of</strong> <strong>in</strong>ventories was four days <strong>in</strong> all<br />

groceries except mustard, where<strong>in</strong> the storage period was 15 days because <strong>of</strong> its nonperishability.<br />

In case <strong>of</strong> fruits and vegetables, the period was two days <strong>in</strong> tomato, banana and<br />

apple but four days <strong>in</strong> onion depend<strong>in</strong>g on their perishability.<br />

The quantity and value <strong>of</strong> groceries was seems to be to be high <strong>in</strong> rice (7.48 qu<strong>in</strong>tals)<br />

followed by green gram (1.58 qu<strong>in</strong>tals), wheat (1.03 qu<strong>in</strong>tals), tur dal (1.38 qu<strong>in</strong>tals), chilli<br />

(0.16 qu<strong>in</strong>tals) and mustard (0.12 qu<strong>in</strong>tals), the respective values were Rs. Rs. 13,136.75, Rs.<br />

2,125.66, Rs. 2,125.66, Rs. 4,707.18, Rs. 1230.88, and Rs. 325.65 depended on the<br />

respective unit costs. The maximum quantity <strong>of</strong> <strong>in</strong>ventory was held <strong>in</strong> f<strong>in</strong>ished product stage<br />

<strong>in</strong> all grocery items as <strong>in</strong> the case <strong>of</strong> Bangalore <strong>supermarket</strong>s. However, the f<strong>in</strong>ished quantity<br />

ma<strong>in</strong>ta<strong>in</strong>ed were 3.09 qu<strong>in</strong>tals for 1.30 days <strong>in</strong> rice, 0.42 qu<strong>in</strong>tals for 1.30 days <strong>in</strong> wheat, 0.65<br />

qu<strong>in</strong>tals for 1.66 days <strong>in</strong> green gram, 0.57 qu<strong>in</strong>tals for 1.40 days <strong>in</strong> tur dal. Even more than<br />

half <strong>of</strong> the quantity <strong>of</strong> chilli and mustard found to be held at this stage only. The work <strong>in</strong><br />

process <strong>in</strong>ventory accounted for less quantity and m<strong>in</strong>imum storage period <strong>in</strong> almost all<br />

groceries. The packag<strong>in</strong>g cost was higher <strong>in</strong> the order <strong>of</strong> rice (Rs. 357.92), green gram (Rs.


74.95), tur dal (Rs. 65.46), wheat (Rs. 54.38), chilli (Rs. 13.46) and mustard (Rs. 8.32).<br />

Shr<strong>in</strong>kage was observed to be more <strong>in</strong> green gram (Rs. 155.25).<br />

In fruits and vegetables, the quantity and value <strong>of</strong> <strong>in</strong>ventory period was more <strong>in</strong> onion<br />

(2.50 qu<strong>in</strong>tals) followed by banana (2.00 qu<strong>in</strong>tals), tomato (0.80 qu<strong>in</strong>tals) and apple (0.60<br />

qu<strong>in</strong>tals) depend<strong>in</strong>g on their perishability and demand. The f<strong>in</strong>ished product <strong>in</strong>ventory had the<br />

highest quantity <strong>in</strong> onion (1.03 qu<strong>in</strong>tals for 1.40 days) and it was 0.33 qu<strong>in</strong>tals <strong>in</strong> tomato. The<br />

work <strong>in</strong> sales <strong>in</strong>ventory was 0.63 qu<strong>in</strong>tals <strong>in</strong> banana, 0.78 qu<strong>in</strong>tals <strong>in</strong> onion, 0.25 qu<strong>in</strong>tals <strong>in</strong><br />

tomato and 0.19 qu<strong>in</strong>tals <strong>in</strong> apple as it is an important stage to attract customers and to reta<strong>in</strong><br />

them. However, the labour costs were Rs. 100.78, Rs. 103.82 and Rs. 51.56 for onion and<br />

Rs. 32.25, Rs. 68.72 and Rs. 16.50 for tomato. The total <strong>in</strong>ventory cost per qu<strong>in</strong>tal was Rs.<br />

753.19 <strong>in</strong> apple, Rs. 181.39 <strong>in</strong> tomato, Rs. 165.18 <strong>in</strong> banana and Rs, 102.75 <strong>in</strong> onion.<br />

Negligible labour charges were seen <strong>in</strong> banana and apple as they <strong>in</strong>volve simple clean<strong>in</strong>g and<br />

grad<strong>in</strong>g.<br />

5.5.1.3 Mangalore<br />

It was observed from Table 4.20 that the storage period was 5.67 days <strong>in</strong> cereals and<br />

pulses whereas the period was 5.94 days <strong>in</strong> chilli and 12.87 days <strong>in</strong> mustard. Similarly, <strong>in</strong><br />

fruits and vegetables the storage period was three to five days <strong>in</strong> fruits and vegetables<br />

depend<strong>in</strong>g on their keep<strong>in</strong>g quality and demand for the products. No sale <strong>of</strong> apple was<br />

noticed <strong>in</strong> Mangalore <strong>supermarket</strong>s because <strong>of</strong> the reasons such as non-availability <strong>of</strong> the<br />

product regularly, existence <strong>of</strong> conventional fruits and vegetables vendors <strong>in</strong> the city, less<br />

demand for the product, high price <strong>of</strong> the product and fear <strong>of</strong> losses due to perishability and<br />

lack <strong>of</strong> <strong>in</strong>frastructures to handle these fruits.<br />

The <strong>in</strong>ventories <strong>in</strong> grocery items were found more <strong>in</strong> <strong>in</strong> rice (7.00 qu<strong>in</strong>tals) followed by<br />

tur dal (1.20 qu<strong>in</strong>tals), green gram (0.99 qu<strong>in</strong>tals), wheat (0.44 qu<strong>in</strong>tals), chilli (0.12 qu<strong>in</strong>tals)<br />

and mustard (0.06 qu<strong>in</strong>tals) and the respective worth were Rs. 11,900.00, Rs. 3,906.60, Rs.<br />

4,731.21, Rs. 933.46, Rs. 891.18 and Rs. 156.48. As <strong>in</strong> the case <strong>of</strong> other cities, f<strong>in</strong>ished<br />

product <strong>in</strong>ventories were also occupied top position <strong>in</strong> terms <strong>of</strong> quantity and period <strong>of</strong> storage.<br />

The least quantity the commodity seized was aga<strong>in</strong> the work <strong>in</strong> process <strong>in</strong>ventory. The<br />

quantity at work <strong>in</strong> sales was moderate that is 0.73 qu<strong>in</strong>tals <strong>in</strong> rice, 0.08 qu<strong>in</strong>tals <strong>in</strong> wheat,<br />

0.17 qu<strong>in</strong>tals <strong>in</strong> green gram, 0.21 qu<strong>in</strong>tals <strong>in</strong> tur dal, 0.02 <strong>in</strong> chilli and 0.01 qu<strong>in</strong>tals <strong>in</strong> mustard.<br />

Aga<strong>in</strong>, <strong>in</strong> packag<strong>in</strong>g material the cost <strong>in</strong>volved was Rs 445.54 <strong>in</strong> rice, Rs. 76.38 <strong>in</strong> tur dal, Rs.<br />

63.01 <strong>in</strong> green gram, Rs. 31.82 <strong>in</strong> wheat, Rs. 13.26 <strong>in</strong> chilli and Rs. 3.82 <strong>in</strong> mustard.<br />

However, the highest cost <strong>in</strong> packag<strong>in</strong>g materials was depends on the quantity <strong>of</strong> the product<br />

sold but the unit cost <strong>of</strong> packag<strong>in</strong>g material differed from commodity to commodity. The total<br />

<strong>in</strong>ventory cost per qu<strong>in</strong>tal was highest <strong>in</strong> chilli (Rs. 385.78) followed by green gram (Rs.<br />

195.27), tur dal (Rs. 162.62), mustard (Rs. 214.70) and wheat (Rs. 136.87).<br />

In fruits and vegetables, the maximum <strong>in</strong>ventory was ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> onion (1.10<br />

qu<strong>in</strong>tals) subsequently <strong>in</strong> tomato (0.45 qu<strong>in</strong>tals) and banana (0.90 qu<strong>in</strong>tals) depend<strong>in</strong>g on its<br />

prevail<strong>in</strong>g demand/turnover and perishability <strong>of</strong> the products. The f<strong>in</strong>ished products were<br />

stored <strong>in</strong> maximum quantity 0.64 qu<strong>in</strong>tals for 1.90 days. The work <strong>in</strong> process and f<strong>in</strong>ished<br />

product <strong>in</strong>ventories were seems to be very little <strong>in</strong> banana as it is directly sold <strong>in</strong> the shop.<br />

The labours charge and packag<strong>in</strong>g materials were Rs. 57.64 and Rs. 31.82 <strong>in</strong> onion, Rs.<br />

23.58 and Rs. 13.02 <strong>in</strong> tomato respectively. However, no cold storage was observed for both<br />

fruits and vegetables <strong>in</strong> Mangalore <strong>supermarket</strong>s. The unit cost <strong>of</strong> <strong>in</strong>ventory for banana was<br />

Rs. 312.36, Rs. 163.21 for tomato and Rs. 124.39 for onion.<br />

5.5.1.4 Belgaum<br />

It was noticed from the Table 4.21 that the storage period <strong>of</strong> <strong>in</strong>ventory by the<br />

<strong>supermarket</strong>s <strong>in</strong> Belgaum was ranged from four to 4.5 days <strong>in</strong> almost all groceries except<br />

mustard where<strong>in</strong> the storage period was 15 days.<br />

The quantity <strong>of</strong> <strong>in</strong>ventory was found to be high <strong>in</strong> high <strong>in</strong> rice (3.19 qu<strong>in</strong>tals) followed<br />

by tur dal (0.96 qu<strong>in</strong>tals), wheat (0.85 qu<strong>in</strong>tals), green gram (0.69 qu<strong>in</strong>tals), chilli and mustard<br />

(0.04 qu<strong>in</strong>tals each) <strong>in</strong> groceries. The respective <strong>in</strong>ventories valued at Rs. 5,273.87, Rs.<br />

3,051.84, Rs. 1,622.01, Rs. 3,045.66, Rs. 286.25 and Rs. 99.43. Among different types <strong>of</strong><br />

<strong>in</strong>ventories, the f<strong>in</strong>ished product <strong>in</strong>ventory was observed to be the highest <strong>in</strong> terms <strong>of</strong> quantity<br />

as the <strong>supermarket</strong>ers keep it ready for the sales counter. The work <strong>in</strong> process <strong>in</strong>ventory was<br />

found to be m<strong>in</strong>imum <strong>in</strong> all the cases. The Packag<strong>in</strong>g cost was found to be the prime cost <strong>in</strong>


<strong>in</strong>ventory as it was Rs. 212.94 <strong>in</strong> rice, Rs. 70.34 <strong>in</strong> wheat, Rs. 60.81 <strong>in</strong> tur dal, Rs. 48.21 <strong>in</strong><br />

green gram, Rs. 3.43 <strong>in</strong> chilli and Rs. 2.17 <strong>in</strong> mustard. Packag<strong>in</strong>g costs were observed to be<br />

maximum because <strong>of</strong> the use <strong>of</strong> costly, durable and attractive materials and pr<strong>in</strong>ted attractive<br />

<strong>in</strong>formation on it to attract the customers. The maximum shr<strong>in</strong>kage cost was noticed <strong>in</strong> green<br />

gram followed by <strong>in</strong> tur dal, wheat, rice, chilli and mustard may be depends on the quantity <strong>of</strong><br />

stock they handled. However, it was detected that the highest total <strong>in</strong>ventory costs were found<br />

<strong>in</strong> rice (Rs. 362.56) and low <strong>in</strong> mustard (Rs. 6.81).<br />

There was no sale <strong>of</strong> fruits and vegetables <strong>in</strong> Belgaum <strong>supermarket</strong>s, the reason<br />

attributed are <strong>–</strong> lack <strong>of</strong> <strong>in</strong>frastructural facilities to handle fruits and vegetables, lack <strong>of</strong><br />

availability <strong>of</strong> fruits and vegetables regularly, lack <strong>of</strong> manpower to look after fruits and<br />

vegetables as these products were marketed <strong>in</strong> the everyday early morn<strong>in</strong>g at wholesale<br />

market etc.<br />

5.5.1.5 Hubli-Dharwad<br />

Table 4.22 represented that the storage period <strong>of</strong> commodities <strong>in</strong> <strong>in</strong>ventories by the<br />

Hubli-Dharwad <strong>supermarket</strong>s were 3.67 days <strong>in</strong> cereals <strong>in</strong>clud<strong>in</strong>g chilli but the period was 15<br />

days <strong>in</strong> mustard.<br />

The total quantity ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> <strong>in</strong>ventories with their respective values were more <strong>in</strong><br />

rice (7.30 qu<strong>in</strong>tals worth at Rs. 12,685.58) followed by green gram (1.57 qu<strong>in</strong>tals worth at Rs.<br />

1,803.20), wheat (1.50 qu<strong>in</strong>tals worth at Rs. 2,886.38), tur dal (1.42 qu<strong>in</strong>tals worth at Rs.<br />

4,539.74), chilli (0.07 qu<strong>in</strong>tals worth at Rs. 500.19) and mustard (0.09 qu<strong>in</strong>tals worth at Rs.<br />

228.11) depend<strong>in</strong>g on the turnover <strong>of</strong> the <strong>supermarket</strong>s. F<strong>in</strong>ished product <strong>in</strong>ventory occupied<br />

maximum quantity as it is an important stage <strong>of</strong> <strong>in</strong>ventory to ma<strong>in</strong>ta<strong>in</strong> regular stock at sales<br />

counter. Similar to other cities, the work <strong>in</strong> process <strong>in</strong>ventory was low <strong>in</strong> all the commodities.<br />

Aga<strong>in</strong> the costs <strong>in</strong>curred on packag<strong>in</strong>g materials followed by labour charges were the major<br />

<strong>in</strong>ventory cost components. The shr<strong>in</strong>kage cost was found maximum <strong>in</strong> green gram followed<br />

by tur dal, rice, wheat, chilli and mustard depends on the quantity handled. At an average the<br />

total <strong>in</strong>ventory cost per qu<strong>in</strong>tal was <strong>in</strong> the descend<strong>in</strong>g order <strong>in</strong> chilli (Rs. 337.14), green gram<br />

(Rs. 200.72), tur dal (Rs 169.78), mustard (Rs. 136.62), wheat (Rs. 121.12) and rice (Rs.<br />

103.77)<br />

No sale <strong>of</strong> fruits and vegetables <strong>in</strong> Hubli-Dharwad <strong>supermarket</strong>s attributed to the facts<br />

such as lack <strong>of</strong> <strong>in</strong>frastructural facilities to handle fruits and vegetables, existence <strong>of</strong><br />

pr<strong>of</strong>essional local fruits and vegetable vendors, fear <strong>of</strong> loss due to perishability nature <strong>of</strong> the<br />

products, less demand for the produce etc.<br />

5.5.2 Average costs <strong>of</strong> Inventory and prepar<strong>in</strong>g the products for sale at<br />

<strong>supermarket</strong> <strong>in</strong> Karnataka<br />

The costs <strong>of</strong> <strong>in</strong>ventory and prepar<strong>in</strong>g the products for sale <strong>in</strong> selected cities across<br />

Karnataka presented <strong>in</strong> Table 4.23 revealed the short time period <strong>in</strong>ventories ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong><br />

different commodities by the <strong>supermarket</strong>s <strong>in</strong> the state. The <strong>in</strong>ventory period was ranged from<br />

between four to 4.5 days <strong>in</strong> all the groceries except mustard where the storage period was<br />

13.82 days. In case <strong>of</strong> fruits and vegetables, the <strong>in</strong>ventory period was one day to three days<br />

only because <strong>of</strong> their perishability and demand for only fresh items by the consumers.<br />

The quantity <strong>of</strong> <strong>in</strong>ventories <strong>in</strong> groceries was found to be high <strong>in</strong> rice (7.12 qu<strong>in</strong>tals)<br />

followed by tur dal (1.55 qu<strong>in</strong>tals), green gram (1.44 qu<strong>in</strong>tals), wheat (1.13 qu<strong>in</strong>tals), chilli<br />

(0.14 qu<strong>in</strong>tals) and mustard (0.11 qu<strong>in</strong>tals). The respective <strong>in</strong>ventories were valued <strong>in</strong><br />

accordance with the quantity handled and the unit cost price <strong>of</strong> the products; however, the<br />

respective <strong>in</strong>ventories valued at Rs. 12,506.25, Rs. 5,160.54, Rs. 6,760.74, Rs. 2310.22, Rs.<br />

1089.00 and Rs. 293.19. Among <strong>in</strong>ventories, the f<strong>in</strong>ished product <strong>in</strong>ventory was found to be<br />

highest both <strong>in</strong> terms <strong>of</strong> quantity and storage period as the product should be ready for sales<br />

shelves to ma<strong>in</strong>ta<strong>in</strong> regular and accurate stocks for the consumers. However, the f<strong>in</strong>ished<br />

stocks were 4.15 qu<strong>in</strong>tals for rice, 0.96 qu<strong>in</strong>tals <strong>in</strong> tur dal, 2.20 qu<strong>in</strong>tals <strong>in</strong> wheat, 0.83 qu<strong>in</strong>tals<br />

<strong>in</strong> green gram, 0.68 qu<strong>in</strong>tals <strong>in</strong> chilli and 0.07 qu<strong>in</strong>tals <strong>in</strong> mustard. Next to f<strong>in</strong>ished product<br />

<strong>in</strong>ventory, most <strong>of</strong> the product was deta<strong>in</strong>ed at work <strong>in</strong> sales <strong>in</strong>ventory. The storage period <strong>of</strong><br />

work <strong>in</strong> process <strong>in</strong>ventory was low <strong>in</strong> most <strong>of</strong> the products that is 1.08 days <strong>in</strong> rice, 0.23 days<br />

<strong>in</strong> tur dal, 0.15 days <strong>in</strong> green gram, 0.08 days <strong>in</strong> wheat, 0.06 days <strong>in</strong> mustard and 0.05 days <strong>in</strong><br />

chilli because as soon as the raw material comes it was subjected to work <strong>in</strong> process


<strong>in</strong>ventory to make it ready for the sale at the <strong>supermarket</strong>s and hence the <strong>in</strong>ventory period is<br />

low. The packag<strong>in</strong>g material cost and labour charges for clean<strong>in</strong>g and pack<strong>in</strong>g were found to<br />

be the major cost components <strong>of</strong> <strong>in</strong>ventory management <strong>in</strong> all the commodities as the<br />

packag<strong>in</strong>g <strong>in</strong>volve costly, durable, attractive material and pr<strong>in</strong>ted <strong>in</strong>formation on it to attract<br />

customers. The m<strong>in</strong>or costs <strong>in</strong>clude <strong>in</strong>terest on work<strong>in</strong>g capital at the rate <strong>of</strong> 12.5 per cent and<br />

shr<strong>in</strong>kage/wastage <strong>of</strong> the product. However, at an average the total <strong>in</strong>ventory cost per qu<strong>in</strong>tal<br />

was more <strong>in</strong> chilli (Rs. 369.97) followed by mustard (Rs. 211.15), green gram (Rs. 194.09), tur<br />

dal (Rs. 174.40), wheat (Rs. 137.27) and rice (Rs. 112.91).<br />

With respect to fruits and vegetables, the quantity <strong>of</strong> <strong>in</strong>ventories ma<strong>in</strong>ta<strong>in</strong>ed and their<br />

values were high <strong>in</strong> onion (1.26 qu<strong>in</strong>tals valued at Rs. 1078.81) and low <strong>in</strong> apple (0.24<br />

qu<strong>in</strong>tals valued at Rs. 1548.97) due to their turnover and demand. The quantities uphold <strong>in</strong><br />

tomato and banana was 0.84 qu<strong>in</strong>tals and 0.83 qu<strong>in</strong>tals. The work <strong>in</strong> process and f<strong>in</strong>ished<br />

product <strong>in</strong>ventories kept <strong>in</strong> case <strong>of</strong> banana and apple was low due to their direct sell<strong>in</strong>g at<br />

shop by just manual clean<strong>in</strong>g and grad<strong>in</strong>g <strong>of</strong> fruits. The f<strong>in</strong>ished product <strong>in</strong>ventories were<br />

ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> highest quantity for long period <strong>in</strong> onion compared to other fruits and<br />

vegetables because <strong>of</strong> its non-perishability for some time. The raw material <strong>in</strong>ventory was<br />

also found maximum <strong>in</strong> onion (0.19 qu<strong>in</strong>tals for 0.89 days) and apple (0.24 qu<strong>in</strong>tals for 1.12<br />

days) due to no grad<strong>in</strong>g and clean<strong>in</strong>g <strong>of</strong> banana <strong>in</strong> most <strong>of</strong> the <strong>supermarket</strong>s. Shr<strong>in</strong>kage<br />

perceived to be the highest cost <strong>in</strong> apple (Rs. 159.96) followed by banana (Rs. 135.38), onion<br />

(Rs. 79.90) and tomato (Rs. 59.67). The cold storage cost was Rs. 32.70 <strong>in</strong> tomato, Rs. 27.28<br />

<strong>in</strong> banana and Rs. 8.18 <strong>in</strong> apple and it was used <strong>in</strong> few <strong>supermarket</strong>s only for tomato, banana<br />

and apple. However, the total <strong>in</strong>ventory cost per qu<strong>in</strong>tal was <strong>in</strong> descend<strong>in</strong>g order <strong>in</strong> case <strong>of</strong><br />

apple (Rs. 756.35), banana (Rs. 246.12), tomato (Rs. 211.70) and onion (Rs. 149.23).<br />

The Table 4.24 <strong>in</strong>dicated that the average storage period <strong>of</strong> groceries was between<br />

four to six days <strong>in</strong> groceries except mustard where<strong>in</strong> it was 13.82 days. In case <strong>of</strong> fruits and<br />

vegetables, the storage period was ranged between two to five days. It was noticed from the<br />

table that the <strong>in</strong>ventory period was varied across cities and commodities and found to be high<br />

<strong>in</strong> mustard and low <strong>in</strong> tomato and apple due to their perishability nature and turnover <strong>of</strong> the<br />

commodities.<br />

The commodity-wise costs <strong>of</strong> <strong>in</strong>ventory and prepar<strong>in</strong>g the products for sale across<br />

cities <strong>in</strong> Karnataka shown that on an average rice (7.12 qu<strong>in</strong>tals) was the major commodity<br />

among groceries procured and stored <strong>in</strong> <strong>supermarket</strong>s across the state which is followed by<br />

tur dal (1.55 qu<strong>in</strong>tals), green gram (1.44 qu<strong>in</strong>tals), wheat (1.13 qu<strong>in</strong>tals), chilli (0.14 qu<strong>in</strong>tals)<br />

and mustard (0.11 qu<strong>in</strong>tals) as rice is an staple <strong>food</strong> <strong>of</strong> the state and hence it is more<br />

demanded by the consumers <strong>in</strong> turn the turnover is high. The cost <strong>of</strong> packag<strong>in</strong>g was also<br />

found to be maximum <strong>in</strong> rice (Rs. 468.42) and the least <strong>in</strong> mustard (Rs. 13.19) due to the use<br />

<strong>of</strong> different packag<strong>in</strong>g sizes and materials.<br />

In fruits and vegetables category, the average quantity <strong>in</strong>ventory ma<strong>in</strong>ta<strong>in</strong>ed was high<br />

<strong>in</strong> onion (23.09 qu<strong>in</strong>tals) and the next were tomato (1.39 qu<strong>in</strong>tals), banana (1.38 qu<strong>in</strong>tals) and<br />

apple (0.60 qu<strong>in</strong>tals) depend<strong>in</strong>g on the perishability nature and prevail<strong>in</strong>g demand for the<br />

products. the total <strong>in</strong>ventory cost per qu<strong>in</strong>tal was highest <strong>in</strong> apple (Rs. 756.35) followed by Rs.<br />

268.49 <strong>in</strong> banana, Rs. 190.67 <strong>in</strong> tomato and Rs. 143.31 <strong>in</strong> onion due to high unit cost <strong>of</strong> the<br />

respective products. No sale <strong>of</strong> fruits and vegetables were witnessed <strong>in</strong> Belgaum and Hubli-<br />

Dharwad due to lack <strong>of</strong> <strong>in</strong>frastructural facilities to handle fruits and vegetables, existence <strong>of</strong><br />

local traditional fruits and vegetables vendors, non-availability <strong>of</strong> fruits and vegetables<br />

regularly, fear <strong>of</strong> losses due to the perishability nature <strong>of</strong> fruits and vegetables.<br />

It could be observed from Table 4.25 that even though, the quantity <strong>of</strong> <strong>in</strong>ventory<br />

ma<strong>in</strong>ta<strong>in</strong>ed was high <strong>in</strong> Bangalore (25.66 qu<strong>in</strong>tals) followed by Mysore (17.65 qu<strong>in</strong>tals),<br />

Mangalore (12.26 qu<strong>in</strong>tals), Hubli-Dharwad (11.95 qu<strong>in</strong>tals) and Belgaum (5.77 qu<strong>in</strong>tals), the<br />

average <strong>in</strong>ventory period was highest (6.13 days) <strong>in</strong> Belgaum followed by Mangalore (5.83<br />

days), Hubli-Dharwad (5.56 days), Bangalore (4.85 days) and Mysore (4.50 days). Among<br />

different commodities, the quantity stored was maximum <strong>in</strong> onion (10.64 qu<strong>in</strong>tals <strong>in</strong><br />

Bangalore, 7.48 qu<strong>in</strong>tals <strong>in</strong> Mysore and 7.00 qu<strong>in</strong>tals <strong>in</strong> Mangalore) <strong>in</strong> all the cities and<br />

m<strong>in</strong>imum <strong>in</strong> chilli (0.33 qu<strong>in</strong>tals <strong>in</strong> Bangalore, 0.16 qu<strong>in</strong>tals <strong>in</strong> Mysore, 0.12 qu<strong>in</strong>tals <strong>in</strong><br />

Mangalore, 0.04 qu<strong>in</strong>tals <strong>in</strong> Belgaum and 0.07 qu<strong>in</strong>tals <strong>in</strong> Hubli-Dharwad) depend<strong>in</strong>g on the<br />

respective demand for the produce and turnover <strong>of</strong> the <strong>supermarket</strong>s. Next to the onion was<br />

tur dal both <strong>in</strong> quantity and storage period. With respect to cost components, packag<strong>in</strong>g costs<br />

were found to be the prime constituent, on an average it accounts for Rs. 1,789.43 <strong>in</strong>


Bangalore followed by Rs. 694.00 <strong>in</strong> Mysore, Rs. 685.22 <strong>in</strong> Mangalore, Rs. 982.33 <strong>in</strong> Hubli-<br />

Dharwad and Rs. 397.90 <strong>in</strong> Belgaum. The highest packag<strong>in</strong>g cost attributed to the use <strong>of</strong><br />

costly material <strong>in</strong> packag<strong>in</strong>g, which is durable, attractive and pr<strong>in</strong>ted <strong>in</strong>formation (which<br />

<strong>in</strong>cludes their trade mark and brand names) on it to attract the customers. The cold storages<br />

were nil <strong>in</strong> Mangalore, Belgaum and Hubli-Dharwad because <strong>of</strong> their recent evolution towards<br />

conventional shops to <strong>supermarket</strong>s but seen only <strong>in</strong> case <strong>of</strong> tomato, banana and apple <strong>in</strong><br />

Bangalore and Mysore as they are very perishables and demand for the fresh produce by the<br />

consumers <strong>in</strong> this city.<br />

5.6 PROCESSING/VALUE ADDITION IN SUPERMARKETS<br />

5.6.1 Extent <strong>of</strong> activities undertaken <strong>in</strong> preparation <strong>of</strong> the products for sale <strong>in</strong><br />

<strong>supermarket</strong>s<br />

Process<strong>in</strong>g <strong>in</strong> <strong>supermarket</strong>s <strong>in</strong>volves only four steps or stages such as clean<strong>in</strong>g,<br />

grad<strong>in</strong>g, bagg<strong>in</strong>g and labell<strong>in</strong>g and stick<strong>in</strong>g. The condition<strong>in</strong>g was not observed <strong>in</strong><br />

<strong>supermarket</strong>s s<strong>in</strong>ce they have not undertak<strong>in</strong>g long-term <strong>in</strong>ventories.<br />

The results <strong>of</strong> the Table 4.26 revealed that <strong>in</strong> the entire groceries, cent per cent <strong>of</strong><br />

clean<strong>in</strong>g, bagg<strong>in</strong>g and labell<strong>in</strong>g and stick<strong>in</strong>g activities were undertaken by all the<br />

<strong>supermarket</strong>s to ma<strong>in</strong>ta<strong>in</strong> good relationship with the consumers by provid<strong>in</strong>g good quality<br />

products. In addition, it is very much necessary and the only way to compete with the<br />

conventional stores. On the other hand, these activities help <strong>in</strong> market segmentation with<br />

price differentiation. However, grad<strong>in</strong>g was observed <strong>in</strong> 66.67 per cent <strong>of</strong> the Bangalore<br />

<strong>supermarket</strong>s but it was not seen <strong>in</strong> Belgaum <strong>supermarket</strong>s s<strong>in</strong>ce most <strong>of</strong> the <strong>supermarket</strong>s<br />

are un-organized <strong>in</strong> the city. In overall, cent per cent <strong>of</strong> <strong>supermarket</strong>s across the Karnataka<br />

followed clean<strong>in</strong>g, bagg<strong>in</strong>g and label<strong>in</strong>g and stick<strong>in</strong>g activities whereas 26.67 per cent <strong>of</strong> the<br />

<strong>supermarket</strong>s undertook grad<strong>in</strong>g activities.<br />

In fruits and vegetables clean<strong>in</strong>g activity was observed <strong>in</strong> all the <strong>supermarket</strong>s as it is a<br />

basic th<strong>in</strong>g to differentiate from other stores which are deal<strong>in</strong>g with these products because <strong>of</strong><br />

the existence <strong>of</strong> local fruits and vegetables vendors <strong>in</strong> all the cities. In contrast to this, all the<br />

Bangalore <strong>supermarket</strong>s followed grad<strong>in</strong>g, bagg<strong>in</strong>g, and labell<strong>in</strong>g and stick<strong>in</strong>g activities s<strong>in</strong>ce<br />

the consumers <strong>of</strong> these markets <strong>in</strong> the city are highly sophisticated with high standard <strong>of</strong><br />

liv<strong>in</strong>g. At an overall, it accounts cent per cent <strong>of</strong> <strong>supermarket</strong>s carried out clean<strong>in</strong>g activity and<br />

33.33 per cent each followed grad<strong>in</strong>g, bagg<strong>in</strong>g and label<strong>in</strong>g and stick<strong>in</strong>g activities across the<br />

state.<br />

These results are similar to the study conducted by Arora et al (2004) while study<strong>in</strong>g<br />

the microbial reduction by wash<strong>in</strong>g vegetables <strong>in</strong> a rotary washer. He reported that vegetable<br />

wash<strong>in</strong>g is an important primary process unit operation for value addition <strong>of</strong> the produce at<br />

farm level. Wash<strong>in</strong>g is used not only to remove field soil, dust, pesticides, but also the surface<br />

microbial load.<br />

5.6.2 Value addition <strong>in</strong> <strong>supermarket</strong>s for the selected products<br />

It is observed from Table 4.27 that <strong>in</strong> Bangalore <strong>supermarket</strong>s, the average value<br />

added <strong>in</strong> case <strong>of</strong> groceries was more <strong>in</strong> wheat (31.33 per cent) followed by rice (30.59 per<br />

cent), mustard (28.05 per cent), tur dal (23.45 per cent), green gram (19.94 per cent) and<br />

chilli (17.52 per cent) due to higher prices obta<strong>in</strong>ed and relatively lower percent <strong>of</strong> wastages.<br />

In Similarly, <strong>in</strong> Mysore <strong>supermarket</strong>s, the per cent value addition was highest <strong>in</strong> mustard<br />

(26.47 per cent) followed by wheat (24.23 per cent), rice (22.86 per cent), tur dal (19.67 per<br />

cent), green gram (15.97 per cent) and chilli (15.45 per cent)., In Mangalore the value added<br />

was more <strong>in</strong> mustard (28.16 per cent) followed by rice (27.72 per cent), wheat (27.14 per<br />

cent), tur dal (18.00 per cent), chilli (16.82 per cent) and green gram (16.04 per cent) because<br />

<strong>of</strong> higher prices for the products. The per cent <strong>of</strong> value addition <strong>in</strong> mustard was found to be<br />

high (29.17 per cent) <strong>in</strong> case <strong>of</strong> Belgaum <strong>supermarket</strong>s also due to high price for the produce<br />

which is followed by wheat (26.07 per cent), rice (24.83 per cent), green gram (20.27 per<br />

cent), tur dal (16.05 per cent) and chilli (15.50 per cent). Further, <strong>in</strong> the <strong>supermarket</strong>s <strong>of</strong> Hubli-<br />

Dharwad, the value addition was found to be 26.56 per cent <strong>in</strong> mustard, 26.17 per cent <strong>in</strong><br />

wheat, 24.85 per cent <strong>in</strong> rice, 20.32 per cent <strong>in</strong> green gram, 18.58 per cent <strong>in</strong> tur dal and<br />

15.21 per cent <strong>in</strong> chilli depend<strong>in</strong>g upon their higher price realization.


On the other hand, <strong>in</strong> fruits and vegetable category the per cent value addition <strong>in</strong><br />

Bangalore <strong>supermarket</strong>s was found to be the highest <strong>in</strong> tomato (64.78 per cent) as aga<strong>in</strong>st<br />

20.65 per cent <strong>in</strong> apple. This <strong>in</strong>dicated the benefits <strong>of</strong> use <strong>of</strong> different sources <strong>of</strong> purchase for<br />

the produce such as direct procurement from the farmers and own production will obviously<br />

enhances realization especially <strong>in</strong> case <strong>of</strong> vegetables like tomato. Similarly, it was 41.73 per<br />

cent <strong>in</strong> onion and 28.00 per cent <strong>in</strong> banana due to higher prices obta<strong>in</strong>ed. It may be attributed<br />

to the lack <strong>of</strong> clean<strong>in</strong>g and grad<strong>in</strong>g activities <strong>of</strong> theses produces <strong>in</strong> other markets. The<br />

<strong>in</strong>dicated percentage <strong>of</strong> value addition <strong>in</strong> Mysore <strong>supermarket</strong>s were 45 per cent <strong>in</strong> tomato,<br />

39.09 per cent <strong>in</strong> onion, 25.00 per cent <strong>in</strong> banana and 21.14 per cent <strong>in</strong> apple. In respect <strong>of</strong><br />

Mangalore too, the value addition was maximum <strong>in</strong> tomato where<strong>in</strong> the percentage value<br />

added was 37.83 per cent. The banana and apple occupied 35.00 per cent and 28.99 per<br />

cent accord<strong>in</strong>gly.<br />

Overall at the <strong>supermarket</strong>s across the state, the higher per cent <strong>of</strong> value addition<br />

was noticed <strong>in</strong> mustard (27.68 per cent) among groceries and tomato (49.21 per cent) <strong>in</strong> fruits<br />

and vegetables. The higher price realization from mustard was due to absence <strong>of</strong> clean<strong>in</strong>g,<br />

grad<strong>in</strong>g <strong>of</strong> these produce <strong>in</strong> other markets as it is less demanded from the consumers. The<br />

value addition <strong>in</strong> other commodities were <strong>in</strong> the descend<strong>in</strong>g order <strong>of</strong> 26.99 per cent, 26.17 per<br />

cent, 19.99 per cent, 17.48 per cent, and 16.21 per cent <strong>in</strong> wheat, rice, tur dal, green gram<br />

and chilli, and 38.61 per cent, 27.33 per cent and 22.90 per cent <strong>in</strong> onion, banana and apple.<br />

However, out <strong>of</strong> the selected cities, the maximum value addition <strong>in</strong> both groceries, and fruits<br />

and vegetables were found <strong>in</strong> Bangalore because <strong>of</strong> higher prices <strong>of</strong> the produces <strong>in</strong> this<br />

market.<br />

5.7 FINANCIAL MANAGEMENT IN SUPERMARKETS<br />

Various f<strong>in</strong>ancial ratios were worked out for the year 2006-07 and presented <strong>in</strong> Table<br />

4.28 to assess the f<strong>in</strong>ancial performance <strong>of</strong> the <strong>supermarket</strong>s <strong>in</strong> different cities across<br />

Karnataka.<br />

Solvency ratios<br />

The solvency ratios <strong>in</strong>dicate the extent <strong>of</strong> amount borrowed per rupee <strong>of</strong> owned funds<br />

<strong>in</strong> the bus<strong>in</strong>ess. Solvency refers to the ability <strong>of</strong> the <strong>supermarket</strong> to repay its outside long-term<br />

liabilities/total liabilities <strong>in</strong> turn it <strong>in</strong>dicates long-term stability <strong>of</strong> a concern. The solvency ratios<br />

analyzed dur<strong>in</strong>g the study were identified as total liabilities to owned funds ratio and fixed<br />

assets to owned funds ratio.<br />

The ratio <strong>of</strong> total liabilities to owned funds was found to be 0.798, 0.600, 1.905, 3.535,<br />

0.345 <strong>in</strong> Bangalore, Mysore, Mangalore, Hubli-Dharwad and Belgaum, respectively. Even the<br />

ratio <strong>of</strong> fixed assets to owned funds was found to be highest <strong>in</strong> Mangalore (1.731) followed by<br />

Hubli-Dharwad (1.367) and Bangalore (0.697). This <strong>in</strong>dicated that the amount <strong>of</strong> borrowed<br />

fund per rupee was higher <strong>in</strong> Hubli-Dharwad followed by Mangalore, Bangalore, Mysore and<br />

Belgaum. This was because the amount pooled by the Hubli-Dharwad and Mangalore<br />

markets was low when compared to other cities. On the overall across cities, it was 1.400<br />

which <strong>in</strong>dicates the soundness <strong>of</strong> the <strong>supermarket</strong> bus<strong>in</strong>ess <strong>in</strong> the state. The recent<br />

conversion <strong>of</strong> traditional stores to modern type <strong>of</strong> <strong>supermarket</strong>s <strong>in</strong> these cities also made<br />

these <strong>supermarket</strong>s to be more dependency on external funds. Therefore, the <strong>supermarket</strong>s<br />

should taken care for improv<strong>in</strong>g the own funds and volume <strong>of</strong> bus<strong>in</strong>ess to the need <strong>of</strong><br />

improv<strong>in</strong>g f<strong>in</strong>ancial strengths <strong>of</strong> the <strong>supermarket</strong>s.<br />

Liquidity ratios<br />

Liquidity ratio <strong>in</strong>dicates the cont<strong>in</strong>uous operation <strong>of</strong> the <strong>supermarket</strong>s. These ratios<br />

are used to measure the ability <strong>of</strong> an <strong>in</strong>stitution to possess adequate cash to meet immediate<br />

obligations. The liquidity position <strong>of</strong> the <strong>supermarket</strong>s was exam<strong>in</strong>ed us<strong>in</strong>g two ratios namely<br />

liquid assets to total assets ratio and current assets to current liabilities ratio.<br />

It was noticed from the table (Table 4.28) that <strong>in</strong> all the <strong>supermarket</strong>s the liquid assets<br />

to total assets ratio was less than 0.5, which is 0.459 <strong>in</strong> Bangalore, 0.404 <strong>in</strong> Mysore, 0.399 <strong>in</strong><br />

Mangalore, 0.157 <strong>in</strong> Belgaum and 0.268 <strong>in</strong> Hubli-Dharwad and hence the overall was 0.337. It<br />

<strong>in</strong>dicated that more than 50 per cent <strong>of</strong> the assets were not <strong>in</strong> liquid assets form. Therefore,<br />

all the units should <strong>in</strong>crease the proportion <strong>of</strong> liquid assets <strong>in</strong> the total assets so as to improve<br />

the liquidity status <strong>of</strong> all the <strong>supermarket</strong>s.


The current ratio (ratio <strong>of</strong> current assets to current liabilities) presented <strong>in</strong> the table<br />

<strong>in</strong>dicates that the ratio was more than one <strong>in</strong> all the cities <strong>supermarket</strong>s except Mysore,<br />

where<strong>in</strong> the ratio was 0.994. It means to say the <strong>supermarket</strong>s had more than one rupee <strong>of</strong><br />

current assets per rupee <strong>of</strong> current liabilities. The m<strong>in</strong>imal acceptable level for value <strong>of</strong> this<br />

ratio is two. Hence, there existed a need for improv<strong>in</strong>g the liquidity position <strong>of</strong> the<br />

<strong>supermarket</strong>s by reduc<strong>in</strong>g its dependency on the short-term borrow<strong>in</strong>gs.<br />

Pr<strong>of</strong>itability ratios<br />

In the present study, the pr<strong>of</strong>itability ratios were analysed for measur<strong>in</strong>g the efficiency<br />

<strong>of</strong> the firms <strong>in</strong> utiliz<strong>in</strong>g their resources for generat<strong>in</strong>g pr<strong>of</strong>its. The pr<strong>of</strong>itability <strong>of</strong> the study<br />

<strong>supermarket</strong>s <strong>in</strong> this case was analysed through net pr<strong>of</strong>its to fixed assets ratio, net pr<strong>of</strong>its to<br />

total assets ratio, net pr<strong>of</strong>its to owned funds ratio and net pr<strong>of</strong>its to total sales ratio were<br />

calculated and presented <strong>in</strong> Table 4.28.<br />

Net pr<strong>of</strong>its to fixed assets ratio were found to be high <strong>in</strong> Mysore where<strong>in</strong> the ratio was<br />

1.297 and least <strong>in</strong> Bangalore (0.572) and <strong>in</strong> other cities also the ratio was more than 0.677.<br />

This <strong>in</strong>dicated that the pr<strong>of</strong>it generated per rupee <strong>of</strong> fixed assets was quite good <strong>in</strong> all the<br />

cities <strong>in</strong> turn it <strong>in</strong>dicates the efficient use <strong>of</strong> fixed assets by the <strong>supermarket</strong>s. Similarly, the<br />

overall net pr<strong>of</strong>it to total assets was 2.499 which <strong>in</strong>dicate that the pr<strong>of</strong>it generated per rupee <strong>of</strong><br />

total assets was nearly 2.50 rupees which <strong>in</strong>dicated the improved efficiency <strong>of</strong> <strong>supermarket</strong>s<br />

<strong>in</strong> utiliz<strong>in</strong>g the total assets. The ratio <strong>of</strong> net pr<strong>of</strong>its to owned funds ratio po<strong>in</strong>t out the net pr<strong>of</strong>its<br />

for each rupee <strong>of</strong> own funds used <strong>in</strong> the bus<strong>in</strong>ess, which were 4.621 <strong>in</strong>case <strong>of</strong> Mangalore,<br />

while 1.773 <strong>in</strong> case <strong>of</strong> Hubli-Dharwad and the least was observed <strong>in</strong> Belgaum (0.537). This<br />

ratio shows that the <strong>supermarket</strong>s were quite able to protects its equity and hence generate<br />

pr<strong>of</strong>its on the equity. Net pr<strong>of</strong>its to total sales were also found to be very significant <strong>in</strong> all the<br />

cities across the state <strong>in</strong>dicat<strong>in</strong>g more than a 0.170 rupee contribution to per rupee total sales<br />

and still there is a need for improv<strong>in</strong>g capacity utilization and sales performances.<br />

Turnover ratio<br />

The turnover ratio <strong>in</strong>dicates the operational efficiency <strong>of</strong> the <strong>supermarket</strong>s <strong>in</strong> the<br />

study area. The efficiency <strong>of</strong> <strong>supermarket</strong>s <strong>in</strong> the selected cities was compared us<strong>in</strong>g the<br />

<strong>in</strong>dicators such as work<strong>in</strong>g capital turnover ratio and fixed assets turnover ratios.<br />

The work<strong>in</strong>g capital turnover ratio <strong>in</strong>dicated the efficiency <strong>of</strong> a <strong>supermarket</strong> <strong>in</strong> utiliz<strong>in</strong>g<br />

its work<strong>in</strong>g capital for generat<strong>in</strong>g sales revenues. The ratio was highest <strong>of</strong> 5.156 <strong>in</strong> Belgaum<br />

followed by 1.890 <strong>in</strong> Bangalore, 1.576 <strong>in</strong> Mangalore, 1.539 <strong>in</strong> Hubli-Dharwad and 1.331 <strong>in</strong><br />

Mysore <strong>supermarket</strong>s. This <strong>in</strong>dicated the turnover per unit <strong>of</strong> work<strong>in</strong>g capital was higher <strong>in</strong><br />

Belgaum over all other <strong>supermarket</strong>s and good <strong>in</strong> all other cities. This shows the lack <strong>of</strong><br />

efficiency <strong>in</strong> sales even with higher work<strong>in</strong>g capital. In contrast, the fixed assets to turnover<br />

ratios were higher <strong>in</strong> the order <strong>of</strong> Mysore, Hubli-Dharwad, Mangalore, Belgaum and <strong>in</strong><br />

Bangalore (6.784, 4.319, 3.971, 3.931 and 3.581, respectively). This was because these<br />

<strong>supermarket</strong>s were able to achieve higher sales targets with less <strong>in</strong>vestment <strong>in</strong> fixed assets<br />

accord<strong>in</strong>gly.<br />

The above all f<strong>in</strong>ancial statuses <strong>of</strong> the retailers/<strong>supermarket</strong>ers were similar to the<br />

study conducted by Gustafson (2003). The study revealed that <strong>in</strong> Fargo, USA, on an average,<br />

both <strong>food</strong> manufactur<strong>in</strong>g and <strong>food</strong> <strong>retail<strong>in</strong>g</strong> small bus<strong>in</strong>esses had positive f<strong>in</strong>ancial<br />

characteristics. Although, they were only marg<strong>in</strong>ally pr<strong>of</strong>itable and liquid, they were highly<br />

solvent. Accounts receivable and <strong>in</strong>ventory comprise nearly half <strong>of</strong> <strong>food</strong> manufacturers' total<br />

assets and a third <strong>of</strong> <strong>food</strong> retailers' assets.<br />

5.8 FACTORS CONSIDERED AND METHODS OF PRICE-<br />

FORMATION IN SUPERMARKETS<br />

The results <strong>of</strong> the Garret rank<strong>in</strong>g analysis conducted <strong>in</strong> respect <strong>of</strong> factors considered<br />

<strong>in</strong> pric<strong>in</strong>g the products <strong>in</strong> <strong>supermarket</strong>s by the retailers (<strong>supermarket</strong>ers) were presented <strong>in</strong><br />

Table 4.29 revealed that the Bangalore and Belgaum <strong>supermarket</strong>s attached significance<br />

importance to quality <strong>of</strong> the products followed by price should ensure pr<strong>of</strong>itability because <strong>of</strong><br />

the sophisticated and high standard <strong>of</strong> liv<strong>in</strong>g consumers <strong>in</strong> the city prefer quality products<br />

rather than price <strong>of</strong> the product. At the same time, the firms will not fix too much higher prices<br />

as it is undesirable from the po<strong>in</strong>t <strong>of</strong> rational consumers hence they will decide the price <strong>in</strong>


such a way that it should ensure pr<strong>of</strong>itability also. Next to these the factors considered were<br />

nature <strong>of</strong> the product, competition, product life, price should not be high, availability <strong>of</strong><br />

product, price shall conv<strong>in</strong>ce prospective consumers etc. In Mysore, <strong>supermarket</strong>s attached<br />

first preference to nature <strong>of</strong> the product and least consideration to market segmentation. As<br />

the <strong>supermarket</strong>s fixes the prices based on the nature <strong>of</strong> the products like perishability <strong>of</strong> the<br />

product, demand for the product, seasonality <strong>of</strong> the product etc. Least importance was given<br />

to market segmentation as the same products could not be differentiated just by fix<strong>in</strong>g<br />

different prices for different consumers. The other factors such as quality <strong>of</strong> the products,<br />

availability <strong>of</strong> the product, price should not be high, competition etc were also considered next<br />

to nature <strong>of</strong> the product. Both nature <strong>of</strong> the product followed by quality <strong>of</strong> the product were<br />

considered as the prime factors considered <strong>in</strong> pric<strong>in</strong>g at Mangalore <strong>supermarket</strong>s. The factors<br />

like price should ensure pr<strong>of</strong>itability, competition and price should not be high were<br />

considered <strong>in</strong> their order. In case <strong>of</strong> Hubli-Dharwad, quality <strong>of</strong> the products was considered as<br />

the most important factor and long term pric<strong>in</strong>g was given least importance <strong>in</strong> fix<strong>in</strong>g the price<br />

for the products at <strong>supermarket</strong>s.<br />

In the state as whole, the quality factors like quality <strong>of</strong> the products, nature <strong>of</strong> the<br />

product were considered as the most important ones which are mostly consumer oriented as<br />

he decides the fate <strong>of</strong> the bus<strong>in</strong>ess, whereas competition, price should not be high, price<br />

should ensure pr<strong>of</strong>itability were firm oriented as these factors decides his pr<strong>of</strong>it. The other<br />

factors such as availability <strong>of</strong> the product, product life, relative price <strong>of</strong> the rival products,<br />

market forces, price shall conv<strong>in</strong>ce prospective consumers, market segmentation and longterm<br />

pric<strong>in</strong>g were considered as important respectively <strong>in</strong> the above stated order.<br />

While firms compete along many dimensions, pric<strong>in</strong>g strategy is clearly one <strong>of</strong> the<br />

most important. In many retail <strong>in</strong>dustries, pric<strong>in</strong>g strategy can be characterized as a choice<br />

between <strong>of</strong>fer<strong>in</strong>g relatively stable prices across a wide range <strong>of</strong> products. It was found from<br />

Table 4.30 that absorption cost pric<strong>in</strong>g and go<strong>in</strong>g rate pric<strong>in</strong>g methods were adopted by cent<br />

per cent <strong>of</strong> the Bangalore <strong>supermarket</strong>s. These methods were followed to ga<strong>in</strong> some pr<strong>of</strong>it<br />

from the bus<strong>in</strong>ess after meet<strong>in</strong>g their operat<strong>in</strong>g expenses. The prices decided from these<br />

methods are similar to the rivals’ products and more competitive. These results are co<strong>in</strong>cides<br />

with the results obta<strong>in</strong>ed by Rosecky and K<strong>in</strong>g (2000) while exam<strong>in</strong><strong>in</strong>g the prevail<strong>in</strong>g prices<br />

for commonly available <strong>supermarket</strong> products <strong>in</strong> France, United K<strong>in</strong>gdom and USA. The<br />

result shows that some products have very similar or the same prices and other products<br />

have very different prices. In addition to this, target pric<strong>in</strong>g and discount<strong>in</strong>g pric<strong>in</strong>g were<br />

adopted occasionally to attract customers by 66.67 per cent each <strong>of</strong> the <strong>supermarket</strong>s on<br />

smaller set <strong>of</strong> goods. About 33.33 per cent followed loss leader pric<strong>in</strong>g <strong>in</strong> times to try and<br />

attract customers by charg<strong>in</strong>g below the cost price. Most <strong>of</strong> the organized <strong>supermarket</strong>s <strong>in</strong><br />

western cities are follow<strong>in</strong>g this strategy. It was cent per cent, 66.67 per cent and 33.33 per<br />

cent <strong>of</strong> the <strong>supermarket</strong>s <strong>in</strong> Mysore followed absorption cost pric<strong>in</strong>g and go<strong>in</strong>g rate or market<br />

pric<strong>in</strong>g, and discount<strong>in</strong>g method <strong>of</strong> pric<strong>in</strong>g for the above mentioned reasons. All the<br />

<strong>supermarket</strong>s <strong>in</strong> Mangalore adopted absorption cost pric<strong>in</strong>g and go<strong>in</strong>g rate or market pric<strong>in</strong>g<br />

methods, whereas 66.67 per cent <strong>of</strong> them <strong>in</strong> the city also made use <strong>of</strong> loss leader pric<strong>in</strong>g to<br />

try and attract the customers. Apart from this, 33.33 per cent <strong>of</strong> the <strong>supermarket</strong>s also went<br />

for penetration pric<strong>in</strong>g, discount<strong>in</strong>g and destroyer or destructor pric<strong>in</strong>g methods occasionally<br />

to acquire market share by pric<strong>in</strong>g low to get hold <strong>of</strong> the product <strong>in</strong> the market if, it is new,<br />

<strong>of</strong>fer<strong>in</strong>g lower prices for a set <strong>of</strong> time especially dur<strong>in</strong>g festivals and charg<strong>in</strong>g below average<br />

to drive out competition as the case may be. The pric<strong>in</strong>g <strong>in</strong> Belgaum <strong>supermarket</strong>s was done<br />

through absorption cost pric<strong>in</strong>g and go<strong>in</strong>g rate or market pric<strong>in</strong>g methods by all the firms<br />

together with discount<strong>in</strong>g pric<strong>in</strong>g by 33.33 per cent <strong>of</strong> the <strong>supermarket</strong>s occasionally at the<br />

time <strong>of</strong> festivals. Similarly, the methods employed by the Hubli-Dharwad <strong>supermarket</strong>s were<br />

absorption cost pric<strong>in</strong>g, discount<strong>in</strong>g pric<strong>in</strong>g (<strong>in</strong> festivals) and go<strong>in</strong>g rate or market pric<strong>in</strong>g<br />

methods by almost all the <strong>supermarket</strong>s.<br />

At an overall, cent per cent <strong>of</strong> the <strong>supermarket</strong>s <strong>in</strong> the state followed absorption cost<br />

pric<strong>in</strong>g and go<strong>in</strong>g rate or market pric<strong>in</strong>g methods <strong>in</strong> pric<strong>in</strong>g the products at <strong>supermarket</strong>s.<br />

About 60 per cent followed discount<strong>in</strong>g pric<strong>in</strong>g dur<strong>in</strong>g special days like festivals, while 33.33<br />

per cent and 26.67 per cent adopted penetration pric<strong>in</strong>g and loss leader pric<strong>in</strong>g methods. A<br />

small proportion (13.33 per cent and 6.67 per cent) <strong>of</strong> the <strong>supermarket</strong>s also adopted target<br />

pric<strong>in</strong>g for selected products and destroyer or destructor pric<strong>in</strong>g methods were used to try and<br />

attract customers for the shopp<strong>in</strong>g at <strong>supermarket</strong>s.


5.9 PROBLEMS FACED BY THE FOOD RETAILERS<br />

The problems <strong>in</strong> the <strong>supermarket</strong> bus<strong>in</strong>ess were many but the variation were governed<br />

by a few dimensions. In order to formulate appropriate policies, it was necessary to identify<br />

and assess the magnitude <strong>of</strong> associations <strong>of</strong> these dimensions which provide deeper <strong>in</strong>sights<br />

<strong>in</strong> know<strong>in</strong>g the phenomenon.<br />

In the present study, there were 38 variables identified and grouped to expla<strong>in</strong> the<br />

problems <strong>of</strong> retailers/<strong>supermarket</strong>s across cities <strong>in</strong> the state (Table 3.1). These <strong>in</strong>dicators<br />

were subjected to factor analysis (Pr<strong>in</strong>cipal Component Analysis). Out <strong>of</strong> them 25 <strong>in</strong>dicators<br />

were selected with factor load<strong>in</strong>g (above 0.50) by apply<strong>in</strong>g the techniques <strong>of</strong> varimax rotation<br />

and considered n<strong>in</strong>e dimensions which together expla<strong>in</strong>ed 92.38 per cent <strong>of</strong> the total variation<br />

<strong>in</strong> the problems for <strong>in</strong>terpretation.<br />

Table 4.31 shows the factor load<strong>in</strong>g <strong>of</strong> the each variable under different factors and<br />

the percentage variation expla<strong>in</strong>ed by each factor. The first dimension comprised <strong>of</strong> eight<br />

<strong>in</strong>dicators with higher factor load<strong>in</strong>gs (above 0.5). Non availability <strong>of</strong> tra<strong>in</strong>ed employees,<br />

banks for sources <strong>of</strong> f<strong>in</strong>ance, demand for credit from the customers and barga<strong>in</strong> from the<br />

customers were the key problems among them. As the <strong>supermarket</strong> bus<strong>in</strong>ess is new<br />

approach towards organized market<strong>in</strong>g hence there may be a lack <strong>of</strong> availability <strong>of</strong> tra<strong>in</strong>ed<br />

personnel; as the bus<strong>in</strong>ess requires huge <strong>in</strong>vestments and uncerta<strong>in</strong>ty <strong>of</strong> the success may<br />

restra<strong>in</strong> f<strong>in</strong>ancial sector towards <strong>retail<strong>in</strong>g</strong> bus<strong>in</strong>ess. The credit and barga<strong>in</strong>s from the<br />

customers are as usual <strong>in</strong> any bus<strong>in</strong>ess activities. This <strong>in</strong>dicated that there is a need to tra<strong>in</strong><br />

the employees as per <strong>supermarket</strong>s requirement and br<strong>in</strong>g confidence <strong>of</strong> the bus<strong>in</strong>ess <strong>in</strong><br />

f<strong>in</strong>ancers to get the support. The other problems such as lack <strong>of</strong> government schemes for<br />

f<strong>in</strong>ance towards this bus<strong>in</strong>ess, defaults from the customers and non-availability <strong>of</strong> the credit<br />

facility from the wholesalers were found to be the other major problems. It <strong>in</strong>dicates that there<br />

is a need to frame some schemes by the government for this bus<strong>in</strong>ess as it is flourish<strong>in</strong>g <strong>in</strong><br />

recent years, provid<strong>in</strong>g better services to the consumers’ <strong>in</strong> turn superior prices to the<br />

farmers. It may alert the farmers towards production <strong>of</strong> quality produces. In contrast,<br />

advertisement rate and coverage <strong>of</strong> area, WTO impact on pr<strong>of</strong>it marg<strong>in</strong> and price <strong>of</strong> the<br />

products and market <strong>in</strong>formation from the wholesalers have shown no impact.<br />

The variables affect<strong>in</strong>g the bus<strong>in</strong>ess such as lack <strong>of</strong> experience <strong>in</strong> the bus<strong>in</strong>ess, bad<br />

tim<strong>in</strong>g <strong>of</strong> advertisement, damage <strong>of</strong> products from wholesalers, bribes to government<br />

authorities, tax charged by the government and marg<strong>in</strong> from the wholesalers were listed <strong>in</strong> the<br />

second dimension.<br />

The demand for discounts and <strong>of</strong>fers from the customers, location <strong>of</strong> the<br />

<strong>supermarket</strong>, WTO impact on competition and exist<strong>in</strong>g laws <strong>of</strong> the bus<strong>in</strong>ess were listed as the<br />

third dimensional problems. It may be due to general tendency <strong>of</strong> the customers for discounts<br />

and <strong>of</strong>fers; as the world is opened for general competition it has an impact on the bus<strong>in</strong>ess;<br />

every bus<strong>in</strong>ess has to undergo the prevail<strong>in</strong>g rules and regulations and there is no quid pro<br />

quo hence the retailers felt these th<strong>in</strong>gs as the problems. Similar to this result, study<br />

conducted by Connor et al (1999) shown that new forms <strong>of</strong> horizontal, vertical, and<br />

geographic competition have appeared to challenge the supremacy <strong>of</strong> the <strong>supermarket</strong> format<br />

<strong>in</strong> US grocery <strong>retail<strong>in</strong>g</strong>.<br />

The other problems quoted by the retailers listed <strong>in</strong> subsequent dimensions were<br />

VAT charges, demand for new products from the customers, land and build<strong>in</strong>g and f<strong>in</strong>ancial<br />

resources, price variation by the wholesalers, storage facilities and agencies for supply <strong>of</strong><br />

products to <strong>supermarket</strong>s, delayed delivery from the wholesalers, exist<strong>in</strong>g location <strong>of</strong> the site<br />

and availability <strong>of</strong> untra<strong>in</strong>ed employees have consequences on the problems <strong>of</strong> the <strong>retail<strong>in</strong>g</strong>.<br />

Nageshwar Rao and Bramhanandan (2003) <strong>in</strong> their study on problems <strong>of</strong> retail traders <strong>in</strong><br />

Guntur district <strong>of</strong> Andhra Pradesh found that rent on build<strong>in</strong>g was a problem <strong>of</strong> retail traders<br />

(62 per cent) s<strong>in</strong>ce they were fac<strong>in</strong>g many problems from the build<strong>in</strong>g owner side like high<br />

rent, frequent repairs and demand for more good-will. Apart from these retailers (44 per cent)<br />

also had faced many problems on media like high rates, <strong>in</strong>adequate <strong>in</strong>formation and coverage<br />

<strong>of</strong> area and tim<strong>in</strong>g problems.


Look<strong>in</strong>g <strong>in</strong>to the listed problems the retailers must learn to cope up and solve the<br />

problems efficiently to be the leader <strong>in</strong> the bus<strong>in</strong>ess. Rudolph et al (2000) <strong>in</strong> their study<br />

suggested that the <strong>food</strong> retailers risk a loss <strong>of</strong> image or even a loss <strong>of</strong> the customer if they do<br />

not learn to react effectively to failures and improve their service strategy.<br />

5.10 FACTORS INFLUENCING THE CONSUMERS TO<br />

PURCHASE THE FOOD PRODUCTS IN SUPERMARKETS<br />

Due to urbanization, chang<strong>in</strong>g lifestyles, adoption <strong>of</strong> western styles, strong <strong>in</strong>come<br />

growth and favourable demographic patterns the <strong>food</strong> consumption habit <strong>of</strong> Indian consumers<br />

has been chang<strong>in</strong>g over the years. The shift <strong>in</strong> consumption is <strong>in</strong> terms <strong>of</strong> cereals to noncereals,<br />

home-prepared products to away from home <strong>food</strong> products like fast <strong>food</strong>s. The whole<br />

concept <strong>of</strong> shopp<strong>in</strong>g has altered <strong>in</strong> terms <strong>of</strong> format and consumer buy<strong>in</strong>g behavior, usher<strong>in</strong>g<br />

<strong>in</strong> a revolution <strong>in</strong> shopp<strong>in</strong>g <strong>in</strong> India. The consumers are also shift<strong>in</strong>g from traditional local<br />

markets to modern <strong>supermarket</strong>s because <strong>of</strong> the shopp<strong>in</strong>g experience. In this regard an<br />

attempt was made <strong>in</strong> this study to ascerta<strong>in</strong> the factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase<br />

the <strong>food</strong> products <strong>in</strong> <strong>supermarket</strong>s by op<strong>in</strong>ion survey <strong>of</strong> the consumers across cities <strong>in</strong> the<br />

state.<br />

The results <strong>of</strong> the op<strong>in</strong>ion <strong>of</strong> the consumers to purchase at the <strong>supermarket</strong>s <strong>in</strong> the<br />

study area were collected us<strong>in</strong>g three po<strong>in</strong>t scale technique based on their importance as<br />

most, medium and less preference. The op<strong>in</strong>ions obta<strong>in</strong>ed <strong>in</strong> terms <strong>of</strong> scores were analyzed<br />

us<strong>in</strong>g cluster analysis and the results are presented <strong>in</strong> Table 4.32.<br />

It was observed that out <strong>of</strong> 30 variables, 13 variables were found <strong>in</strong> the first<br />

aggregate cluster based on their similarity with<strong>in</strong> the variables, among these 13 variables,<br />

convenient location <strong>of</strong> the <strong>supermarket</strong>, range <strong>of</strong> products availability, convenient for<br />

purchase, availability <strong>of</strong> quality products were considered as the prime factors <strong>in</strong>fluenc<strong>in</strong>g the<br />

consumers to go for purchase at <strong>supermarket</strong>s most <strong>of</strong> these are concerned to the<br />

accessibility and product oriented factors hence the group was named as accessibility and<br />

product quality factors. Second aggregate cluster comprised <strong>of</strong> major factors such as<br />

reasonable prices, park<strong>in</strong>g facility, shopp<strong>in</strong>g is seen enjoyable at <strong>supermarket</strong>s, attractive<br />

pack<strong>in</strong>g, schemes and <strong>of</strong>fers, concern about health, welfare and the environment, <strong>in</strong>fluence <strong>of</strong><br />

peer group, availability <strong>of</strong> range <strong>of</strong> brands most <strong>of</strong> which <strong>in</strong>fluences the consumers to opt<br />

purchases at <strong>supermarket</strong>s and hence the group was named as <strong>in</strong>fluenc<strong>in</strong>g factors. The third<br />

clusters group was named as product promotion factors s<strong>in</strong>ce it consists <strong>of</strong> promotional<br />

factors like payment methods, <strong>in</strong>terest and taste <strong>in</strong> eat<strong>in</strong>g foreign <strong>food</strong>s, home delivery facility,<br />

new products market development, attractive advertisement, fresh fruits and vegetables and<br />

fresh bakery products availability etc. This <strong>in</strong>dicated the retailers to consider the consumers<br />

views and make changes accord<strong>in</strong>gly to attract prospective buyers for efficient and effective<br />

<strong>retail<strong>in</strong>g</strong> to make pr<strong>of</strong>it s<strong>in</strong>ce consumer is the k<strong>in</strong>g who decides the fate <strong>of</strong> the <strong>supermarket</strong>s.


INTRODUCTION<br />

VI. SUMMARY AND POLICY IMPLICATIONS<br />

Food accounts for the largest share <strong>of</strong> consumer spend<strong>in</strong>g. Food and <strong>food</strong> products<br />

account for about 53 per cent <strong>of</strong> the value <strong>of</strong> f<strong>in</strong>al private consumption. This share is<br />

significantly higher than <strong>in</strong> developed economies, where <strong>food</strong> and <strong>food</strong> products account for<br />

about 20 per cent <strong>of</strong> consumer spend<strong>in</strong>g. Significant spend<strong>in</strong>g on <strong>food</strong> and <strong>in</strong>creas<strong>in</strong>g out-<strong>of</strong>home<br />

<strong>food</strong> consumption represent opportunities for <strong>food</strong> retailers and <strong>food</strong>-service companies<br />

(www.tata.com) to cater to their needs.<br />

Retail<strong>in</strong>g is one <strong>of</strong> the largest <strong>in</strong>dustries <strong>in</strong> India and second largest employer after<br />

agriculture. The <strong>retail<strong>in</strong>g</strong> <strong>in</strong>dustry provides employment to over 18 million people. One out <strong>of</strong><br />

every 25 families <strong>in</strong> India is engaged <strong>in</strong> the bus<strong>in</strong>ess <strong>of</strong> <strong>retail<strong>in</strong>g</strong> with the ownership and<br />

management predom<strong>in</strong>antly family controlled. However, <strong>in</strong> sharp contrast to developed<br />

countries, unit average size <strong>of</strong> retail outlet <strong>in</strong> India is very small. Here, the majority <strong>of</strong> <strong>food</strong><br />

consumption is still at home. Nevertheless, out-<strong>of</strong>-home <strong>food</strong> consumption is <strong>in</strong>creas<strong>in</strong>g.<br />

Traditional local markets and small-scale <strong>retail<strong>in</strong>g</strong> cont<strong>in</strong>ue to dom<strong>in</strong>ate India’s <strong>food</strong> retail<br />

sector.<br />

Unlike most other countries, Indian retail sector is highly fragmented and bulk <strong>of</strong> the<br />

bus<strong>in</strong>ess is <strong>in</strong> the unorganized sector (97 per cent) like local ‘wet’ market vendors, roadside<br />

pushcart sellers or t<strong>in</strong>y kirana (grocery) stores. However, the share <strong>of</strong> modern organized retail<br />

sector is likely to grow from its current three percent to 15-20 per cent over the next decade.<br />

Retail growth <strong>in</strong> the com<strong>in</strong>g five years is expected to be stronger than GDP growth,<br />

driven by chang<strong>in</strong>g lifestyles and by strong <strong>in</strong>come growth, which <strong>in</strong> turn will be supported by<br />

favorable demographic patterns and the extent to which organized retailers succeed <strong>in</strong><br />

reach<strong>in</strong>g lower down the <strong>in</strong>come scale to reach potential consumers towards the bottom <strong>of</strong><br />

the consumer pyramid. Grow<strong>in</strong>g consumer credit will also help <strong>in</strong> boost<strong>in</strong>g consumer demand.<br />

A large young work<strong>in</strong>g population with median age <strong>of</strong> 24 years, nuclear families <strong>in</strong> urban<br />

areas, along with <strong>in</strong>creas<strong>in</strong>g work<strong>in</strong>g-women population and emerg<strong>in</strong>g opportunities <strong>in</strong> the<br />

services sector are go<strong>in</strong>g to be the key growth drivers <strong>of</strong> the organized retail sector <strong>in</strong> India.<br />

The structure <strong>of</strong> <strong>retail<strong>in</strong>g</strong> will also develop rapidly. Shopp<strong>in</strong>g malls are becom<strong>in</strong>g <strong>in</strong>creas<strong>in</strong>gly<br />

common <strong>in</strong> large cities, and the number <strong>of</strong> department stores is grow<strong>in</strong>g much faster than<br />

overall retail. Supermarkets have been tak<strong>in</strong>g an <strong>in</strong>creas<strong>in</strong>g share <strong>of</strong> general <strong>food</strong> and<br />

grocery trade over the last two decades.<br />

Organized <strong>food</strong> <strong>retail<strong>in</strong>g</strong> is a relatively new phenomenon <strong>in</strong> India, with small Westernstyle<br />

<strong>supermarket</strong>s only start<strong>in</strong>g to appear s<strong>in</strong>ce 1990s. The country has witnessed a retail<br />

revolution <strong>in</strong> recent years. Significant development has been tak<strong>in</strong>g place <strong>in</strong> urban areas <strong>in</strong><br />

the form <strong>of</strong> organized <strong>retail<strong>in</strong>g</strong> mega stores or malls more so <strong>in</strong> the south <strong>of</strong> the country <strong>in</strong> the<br />

major cities <strong>of</strong> Bangalore, Chennai and Hyderabad, as well as New Delhi and Mumbai <strong>in</strong> the<br />

North. It is expected that the tier II cities would take another five years to absorb modern<br />

<strong>retail<strong>in</strong>g</strong> opportunities. Moreover, the case for Indian retailers to explore rural markets is also<br />

strong due to the size <strong>of</strong> rural population and agricultural <strong>in</strong>come growth <strong>in</strong> last couple <strong>of</strong><br />

years. The major formats be<strong>in</strong>g followed for organized <strong>food</strong> <strong>retail<strong>in</strong>g</strong> <strong>in</strong> India are<br />

<strong>supermarket</strong>s, discount stores, fresh product outlets, specialty stores, convenience stores and<br />

<strong>of</strong>f price retailers.<br />

The organized <strong>food</strong> <strong>retail<strong>in</strong>g</strong> sector <strong>in</strong> India is on the verge <strong>of</strong> a boom and expected to<br />

undergo further change with prospective new domestic and global foreign entrants and the<br />

takeover or exit <strong>of</strong> some exist<strong>in</strong>g participants. Market analysts believe that hypermarket will<br />

determ<strong>in</strong>e the future <strong>of</strong> organized <strong>food</strong> <strong>retail<strong>in</strong>g</strong> over the short to medium term. Traditional<br />

grocers are also gradually redef<strong>in</strong><strong>in</strong>g themselves by <strong>in</strong>creas<strong>in</strong>g floor space and <strong>in</strong>troduc<strong>in</strong>g<br />

self-service format and value added services such as credit and home delivery (Anonymous,<br />

2004).<br />

The study conducted by the Rabo India F<strong>in</strong>ance Pvt. Ltd. says that South Indian<br />

states <strong>of</strong> Tamil Nadu, Andhra Pradesh and Karnataka have taken a lead role <strong>in</strong> establish<strong>in</strong>g<br />

modern <strong>food</strong> outlets. The growth <strong>of</strong> organized <strong>retail<strong>in</strong>g</strong> has shown particular vigour <strong>in</strong> Chennai<br />

and Bangalore where an estimated 40 per cent <strong>of</strong> their grocery requirements were met<br />

through modern retail formats.


Karnataka is one <strong>of</strong> the lead<strong>in</strong>g states <strong>in</strong> organized <strong>retail<strong>in</strong>g</strong> <strong>in</strong> India as there are more<br />

than ten organized retailers (firms) with more than 100 outlets <strong>in</strong>clud<strong>in</strong>g Metro AG operat<strong>in</strong>g <strong>in</strong><br />

Bangalore city alone due to <strong>in</strong>creas<strong>in</strong>g urbanization and expand<strong>in</strong>g service sectors like<br />

s<strong>of</strong>tware, bank<strong>in</strong>g, <strong>in</strong>surance and Bus<strong>in</strong>ess Process Outsourc<strong>in</strong>g (BPO), which has taken a<br />

metropolitan city status more recently has led to <strong>in</strong>crease <strong>in</strong> <strong>in</strong>come <strong>of</strong> the consumers. Apart<br />

from Bangalore, cities such as Mysore, Mangalore, Hubli-Dharwad and Belgaum <strong>in</strong> Karnataka<br />

are also grow<strong>in</strong>g rapidly <strong>in</strong> terms <strong>of</strong> urbanization, <strong>in</strong>come and organized <strong>retail<strong>in</strong>g</strong> with local<br />

<strong>food</strong> marketers as they are convert<strong>in</strong>g unorganized retail outlets <strong>in</strong>to organized form because<br />

<strong>of</strong> strong demand for convenience products; and better educated consumers concerned<br />

about health, nutrition, <strong>food</strong> safety, and the environment.<br />

As <strong>in</strong>come rose and shoppers sought both convenience and new tastes and<br />

stimulation, <strong>supermarket</strong>s were able to expand the products <strong>of</strong>fered. The global economy has<br />

changed, consumer demand has shifted, and retailers operat<strong>in</strong>g system today are <strong>in</strong>fused<br />

with far more technology than was the case <strong>in</strong> the past. It was observed that lot <strong>of</strong> progress<br />

have been achieved <strong>in</strong> the <strong>food</strong> <strong>retail<strong>in</strong>g</strong> <strong>in</strong> the past decade through organized <strong>food</strong> stores<br />

such as <strong>supermarket</strong>s, discount stores, fresh product outlets, specialty stores, convenience<br />

stores and <strong>of</strong>f price retailers. But still there is a lot <strong>of</strong> scope for the <strong>food</strong> <strong>retail<strong>in</strong>g</strong>. The state is<br />

experienc<strong>in</strong>g rapid structural change with the emergence <strong>of</strong> huge retail firms with massive<br />

buy<strong>in</strong>g power and concomitantly concentration <strong>in</strong> the manufactur<strong>in</strong>g sector. Hence, an effort<br />

was made <strong>in</strong> the state to study the entire bus<strong>in</strong>ess aspects <strong>of</strong> organized <strong>food</strong> <strong>retail<strong>in</strong>g</strong> <strong>in</strong><br />

general and <strong>supermarket</strong>s <strong>in</strong> particular. In addition, consumers study was also undertaken to<br />

know the factors to be considered while purchas<strong>in</strong>g their <strong>food</strong> products <strong>in</strong> <strong>food</strong> retail outlets.<br />

The specific objectives <strong>of</strong> the study were as follows:<br />

1. To document the <strong>supermarket</strong>s exist<strong>in</strong>g <strong>in</strong> the study area<br />

2. To study the Organizational structure <strong>in</strong> <strong>supermarket</strong>s.<br />

3. To evaluate the <strong>in</strong>vestment pattern <strong>in</strong> <strong>supermarket</strong>s.<br />

4. To evaluate the f<strong>in</strong>ancial management <strong>of</strong> <strong>supermarket</strong>s.<br />

5. To study the procurement management <strong>in</strong> <strong>supermarket</strong>s<br />

6. To study the <strong>in</strong>ventory management and its costs.<br />

7. To study the management <strong>of</strong> process<strong>in</strong>g/value addition <strong>in</strong> <strong>supermarket</strong>s.<br />

8. To ascerta<strong>in</strong> the methods <strong>of</strong> pric<strong>in</strong>g <strong>in</strong> <strong>supermarket</strong>s<br />

9. To study the constra<strong>in</strong>ts or problems faced by the retailers.<br />

10. To identify the factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase the <strong>food</strong> products <strong>in</strong><br />

<strong>food</strong> <strong>supermarket</strong>s/<strong>food</strong> retail outlets.<br />

Limitation <strong>of</strong> the study<br />

The study was purely based on the data given by the owners/executives <strong>of</strong> the <strong>food</strong><br />

<strong>retail<strong>in</strong>g</strong> companies/outlets who are generally suspicious <strong>of</strong> the motives <strong>of</strong> any <strong>in</strong>vestigation<br />

because <strong>of</strong> fear <strong>of</strong> taxations and competition. In addition, due to non-availability <strong>of</strong> time series<br />

data with respect to the bus<strong>in</strong>ess performance <strong>in</strong>dicators over a period <strong>of</strong> time, only recent<br />

year’s data (2006-07) was used to analyse the performance. Therefore, the <strong>in</strong>vestigation was<br />

confronted with various drawbacks <strong>in</strong> ascerta<strong>in</strong><strong>in</strong>g the data. In case <strong>of</strong> companies hav<strong>in</strong>g<br />

cha<strong>in</strong> <strong>of</strong> outlets/units, only one unit/outlet data was used to assess the overall objectives <strong>of</strong><br />

the study. Hence, greater care was taken to collect the data and it was also cross checked to<br />

get unbiased data as accurately as possible.<br />

METHODOLOGY<br />

The present study is ma<strong>in</strong>ly concerned with the <strong>food</strong> <strong>retail<strong>in</strong>g</strong> activities <strong>of</strong> the<br />

<strong>supermarket</strong>s across selected five cities <strong>in</strong> particular and Karnataka state <strong>in</strong> general.<br />

To fulfill the objectives related to the <strong>supermarket</strong>s operations <strong>of</strong> the study a<br />

multistage random sampl<strong>in</strong>g technique was used. In the <strong>in</strong>itial stage, Karnataka state was<br />

selected as it is one <strong>of</strong> the lead<strong>in</strong>g states <strong>in</strong> organized <strong>retail<strong>in</strong>g</strong> <strong>in</strong> India. At the second stage,<br />

five cities across Karnataka such as Bangalore, Hubli-Dharwad, Mangalore, Belgaum and


Mysore were selected as the majority <strong>of</strong> organized retailers were existed <strong>in</strong> these areas.<br />

Recently, most <strong>of</strong> the local retailers <strong>in</strong> these areas also moderniz<strong>in</strong>g their stores <strong>in</strong> the form <strong>of</strong><br />

modern formats like <strong>supermarket</strong>s. In the last stage, three <strong>supermarket</strong>s (one outlet/ branch)<br />

from each city were selected randomly, so, that the total sample size selected for the study<br />

were 15. Among the number <strong>of</strong> <strong>supermarket</strong>s exist<strong>in</strong>g <strong>in</strong> these areas, only three<br />

<strong>supermarket</strong>ers who were agreed to provide the data are selected. However, <strong>supermarket</strong>s<br />

which were <strong>in</strong> operation for at least two successive years were selected and their<br />

performances were studied for the last f<strong>in</strong>ancial year 2006-07.<br />

In addition, to study the factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase <strong>food</strong> products<br />

<strong>in</strong> these <strong>supermarket</strong>s/retail outlets, ten consumers from each selected <strong>supermarket</strong>s/retail<br />

outlets (30 from each city) were <strong>in</strong>terviewed randomly, so that the total number <strong>of</strong> consumers<br />

accounts to 150.<br />

S<strong>in</strong>ce, it is difficult to study the overall operations <strong>in</strong> all the products, only two<br />

products from each agricultural commodity like rice and wheat <strong>in</strong> cereals, tur and green gram<br />

<strong>in</strong> pulses, dry chilly and mustard which are bought and sold <strong>in</strong> small quantities, banana and<br />

apple <strong>in</strong> fruits and f<strong>in</strong>ally tomato and onion <strong>in</strong> vegetables were selected based on their volume<br />

<strong>of</strong> sales <strong>in</strong> <strong>supermarket</strong>s.<br />

Data Collection<br />

The detailed <strong>in</strong>formation required for the study was collected from both primary and<br />

secondary sources <strong>in</strong> order to accomplish the various objectives <strong>of</strong> the study.<br />

The primary data on roles and responsibilities <strong>of</strong> each <strong>in</strong>dividuals <strong>in</strong> the hierarchy and<br />

the pattern <strong>of</strong> <strong>in</strong>vestments like fixed and work<strong>in</strong>g capital were collected <strong>in</strong> detail to know the<br />

<strong>in</strong>vestment pattern and organizational structures <strong>of</strong> the <strong>supermarket</strong>s. The data on f<strong>in</strong>ancial<br />

management aspects like different assets and liabilities, owned fund, <strong>in</strong>ventory, work<strong>in</strong>g<br />

capital, sales and returns were collected from their records like Balance sheet, Pr<strong>of</strong>it and Loss<br />

account and Trade account were collected to know the f<strong>in</strong>ancial status <strong>of</strong> these <strong>supermarket</strong>s.<br />

The <strong>in</strong>formation on procurement aspects like channels <strong>of</strong> procurement <strong>of</strong> raw materials,<br />

quantity procured, costs <strong>of</strong> procurement and <strong>in</strong>ventory aspects like quantity and value <strong>of</strong><br />

different <strong>in</strong>ventories ma<strong>in</strong>ta<strong>in</strong>ed at different stages and their cost <strong>of</strong> carry<strong>in</strong>g were collected to<br />

understand the procurement and <strong>in</strong>ventory management <strong>in</strong> these markets. The <strong>in</strong>formation on<br />

stages <strong>in</strong>volved <strong>in</strong> process<strong>in</strong>g, cost <strong>in</strong>curred <strong>in</strong> process<strong>in</strong>g and the value addition per unit <strong>of</strong><br />

each selected products <strong>in</strong> different categories such as cereals, pulses, fruits, vegetables and<br />

spices were collected from the <strong>supermarket</strong>s. Further, the various price determ<strong>in</strong>ation<br />

methods adopted and factors considered by these <strong>supermarket</strong>s were collected from the<br />

concerned authorities <strong>of</strong> super markets to evaluate management <strong>of</strong> process<strong>in</strong>g and price<br />

determ<strong>in</strong>ation. Similarly, the data on problems faced by the <strong>supermarket</strong>s were also collected<br />

from the concerned authorities <strong>of</strong> these selected <strong>supermarket</strong>s.<br />

Apart from these, the factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase <strong>food</strong> products<br />

from the <strong>supermarket</strong>s/<strong>food</strong> retail outlets, the <strong>in</strong>formation regard<strong>in</strong>g various factors such as<br />

product factors -price, quality, packag<strong>in</strong>g, label<strong>in</strong>g and other factors like range <strong>of</strong> products,<br />

convenience, location, credit, home delivery, park<strong>in</strong>g facility, service quality and schemes and<br />

<strong>of</strong>fers etc., were collected from the randomly selected consumers from each <strong>supermarket</strong>s<br />

us<strong>in</strong>g the pre-tested schedule through the personal <strong>in</strong>terview method.<br />

The secondary data on area, population and education status <strong>of</strong> the selected cities<br />

were collected from the respective Municipal Corporations.<br />

Analytical techniques employed:<br />

Several statistical techniques were applied to analyze the objectives <strong>of</strong> the study.<br />

The tabular technique was used with the help <strong>of</strong> averages and percentages to calculate<br />

<strong>in</strong>vestment pattern, costs <strong>of</strong> procurement, <strong>in</strong>ventory costs and value addition aspects, and<br />

summarized to obta<strong>in</strong> mean<strong>in</strong>gful <strong>in</strong>ferences. The f<strong>in</strong>ancial ratio analysis technique was<br />

considered <strong>in</strong> evaluat<strong>in</strong>g the performance <strong>of</strong> the <strong>supermarket</strong>s and they ma<strong>in</strong>ly po<strong>in</strong>t out the<br />

relative importance <strong>of</strong> the selected items. The f<strong>in</strong>ancial statements used <strong>in</strong> this study<br />

correspond to the f<strong>in</strong>ancial year <strong>of</strong> the <strong>supermarket</strong>s April to March <strong>of</strong> 2006-07. The ratio<br />

analysis technique has been heavily relied upon, to test the solvency, liquidity, pr<strong>of</strong>itability,<br />

turnover and sales <strong>of</strong> the <strong>supermarket</strong>s. The multivariate statistical technique, pr<strong>in</strong>cipal


component analysis was employed to ascerta<strong>in</strong> the major problems faced by the<br />

<strong>supermarket</strong>s <strong>in</strong> the bus<strong>in</strong>ess <strong>of</strong> <strong>food</strong> <strong>retail<strong>in</strong>g</strong>. The cluster analysis is a formal multivariate<br />

statistical procedure was used <strong>in</strong> identify<strong>in</strong>g the factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to<br />

purchase <strong>food</strong> products at <strong>supermarket</strong>s.<br />

FINDINGS OF THE STUDY<br />

1. It was observed from the study that majority <strong>of</strong> the organized <strong>supermarket</strong>s (multi<br />

outlets) exist<strong>in</strong>g and operat<strong>in</strong>g only <strong>in</strong> big cities like Bangalore and Mysore. These<br />

organized <strong>supermarket</strong>s have multi outlets operat<strong>in</strong>g under the s<strong>in</strong>gle management<br />

and accounts for huge turnover. The un-organized recently established <strong>supermarket</strong>s<br />

were found <strong>in</strong> Mangalore, Belgaum and Hubli-Dharwad. In these cities, the big local<br />

and conventional store owners have converted their <strong>in</strong>digenous general stores <strong>in</strong>to<br />

the modern type <strong>of</strong> stores called <strong>supermarket</strong>s to cater the chang<strong>in</strong>g needs and<br />

expectations <strong>of</strong> modern consumers which have consumer familiarity that runs from<br />

generation to generation is one big advantage for the traditional <strong>retail<strong>in</strong>g</strong> sector.<br />

2. The more organized form <strong>of</strong> <strong>supermarket</strong>s found <strong>in</strong> Bangalore city based on their<br />

number <strong>of</strong> outlets were Shubhiksha (40) followed by Foodworld (33), Fabmall (23),<br />

S*mart (18), Namdhari’s Fresh (14) and Niligiri Dairy Farm Ltd (12). All these<br />

<strong>supermarket</strong>s have their Head <strong>of</strong>fices at Bangalore. The famous <strong>in</strong>digenous<br />

<strong>supermarket</strong>s <strong>in</strong> the Mysore city were Loyal World, Arihanth Super Bazaar, Mohan<br />

Bhandar, Shivananda Supermarket, A-Z Supermarket and Foodworld. However, the<br />

organized <strong>supermarket</strong>s like Foodworld, Niligiri’s, Shubhiksha and Fabmall have<br />

penetrated the city more recently and most <strong>of</strong> these had their head <strong>of</strong>fice at<br />

Bangalore. The family owned un-organized <strong>supermarket</strong>s such as Baliga Stores<br />

Supermarket, Andy’s <strong>supermarket</strong>; Apna Bazaar, Jimmy’s Supermarket, Misbah<br />

Supermarket, Move N Pick, Noor Super Bazaar Ruby’s Supermarket, Sadhar Bazaar<br />

were well known <strong>in</strong> the city. Pick ‘n’ Pay, Sangram Food Basket, Day 2 Day, Needz<br />

Supermarket and Eshan Super Shoppe were the only five <strong>supermarket</strong>s <strong>in</strong> Hubli-<br />

Dharwad city. Similarly, the <strong>supermarket</strong>s <strong>in</strong> the Belgaum city were Hans Raj<br />

Supermarket, Neena Supermarket, Quality Supermarket, Rex Supermarket and<br />

Shoppers Paradise.<br />

3. The average area <strong>of</strong> the <strong>supermarket</strong> outlets <strong>in</strong> different cities were found to be<br />

4333.33 square feet, 3133.33 square feet, 2833.33 square feet, 1833.33 square feet<br />

and 1200 square feet <strong>in</strong> Bangalore, Mysore, Hubli-Dharwad, Mangalore and<br />

Belgaum, respectively. Usually size is an advantage because a large store designed<br />

and built has the capacity to deal with the expected number <strong>of</strong> customers <strong>in</strong> the<br />

neighbourhood.<br />

4. The fixed capital drastically varied from city to city, highest was found <strong>in</strong> Bangalore<br />

(Rs. 258.30 lakh) and least <strong>in</strong> Mangalore (Rs. 13.00 lakh). However, the overall<br />

average total fixed cost per outlet was Rs. 78.42 lakh for the state as a whole. In case<br />

<strong>of</strong> work<strong>in</strong>g capital, raw materials were the prime costs contributed about 67 per cent<br />

<strong>of</strong> the total capital as the <strong>retail<strong>in</strong>g</strong> bus<strong>in</strong>ess (<strong>supermarket</strong>s) itself is to resell<strong>in</strong>g <strong>of</strong><br />

commodities and quicker conversion <strong>of</strong> <strong>in</strong>ventory <strong>in</strong>to cash. At an overall, the average<br />

total costs required to establish a <strong>supermarket</strong> <strong>in</strong> the Karnataka was Rs. 261.33 lakh.<br />

The higher costs <strong>in</strong> big cities was due to higher labour costs, social security to<br />

employees, high quality real estate, much bigger premises, comfort facilities such as<br />

air-condition<strong>in</strong>g, back-up power supply, taxes etc., it is more so <strong>in</strong>case <strong>of</strong> organized<br />

<strong>retail<strong>in</strong>g</strong>.<br />

5. It was observed that the organized <strong>supermarket</strong>s or <strong>supermarket</strong>s <strong>in</strong> multi outlet<br />

(cha<strong>in</strong> <strong>of</strong> <strong>supermarket</strong>s) firms/companies followed l<strong>in</strong>e, l<strong>in</strong>e and staff, and the<br />

functional categories <strong>of</strong> organizational structures whereas l<strong>in</strong>e organization was<br />

commonly followed <strong>in</strong> un-organized <strong>supermarket</strong>s or <strong>supermarket</strong>s not <strong>in</strong> cha<strong>in</strong>. Most<br />

<strong>of</strong> these un-organized <strong>supermarket</strong>s are family owned.<br />

6. Two types <strong>of</strong> purchas<strong>in</strong>g patterns such as centralized or store level purchas<strong>in</strong>g<br />

pattern were followed <strong>in</strong> <strong>supermarket</strong>s for procur<strong>in</strong>g both groceries and fruit and<br />

vegetable products. All the Bangalore <strong>supermarket</strong>s followed centralized purchas<strong>in</strong>g<br />

pattern due to their multi outlet operations and organized form <strong>of</strong> <strong>retail<strong>in</strong>g</strong>. On the


other hand, Most <strong>of</strong> the <strong>supermarket</strong>s <strong>in</strong> other cities, followed store level purchas<strong>in</strong>g<br />

because <strong>of</strong> their s<strong>in</strong>gle outlet operations and un-organized structure <strong>of</strong> <strong>retail<strong>in</strong>g</strong>. In<br />

Mangalore and Belgaum, cent per cent preferred store level purchas<strong>in</strong>g. However,<br />

66.67 per cent <strong>of</strong> <strong>supermarket</strong>s <strong>in</strong> Mysore, preferred store level purchas<strong>in</strong>g and 33.33<br />

per cent have gone for centralized purchas<strong>in</strong>g and the reverse was found <strong>in</strong> Hubli-<br />

Dharwad depend<strong>in</strong>g upon their mode and size <strong>of</strong> operation. In Mysore and Mangalore<br />

fruits and vegetables purchased through wholesale market only.<br />

7. No sale <strong>of</strong> fruits and vegetables were witnessed <strong>in</strong> Belgaum and Hubli-Dharwad<br />

<strong>supermarket</strong>s due to lack <strong>of</strong> <strong>in</strong>frastructural facilities to handle fruits and vegetables,<br />

competition from the exist<strong>in</strong>g local, traditional fruits and vegetables vendors, nonavailability<br />

<strong>of</strong> fruits and vegetables regularly, fear <strong>of</strong> losses due to the perishability<br />

nature <strong>of</strong> fruits and vegetables.<br />

8. The overall monthly average quantity and value <strong>of</strong> products procurement across cities<br />

<strong>in</strong> Karnataka revealed that the average frequency <strong>of</strong> purchase <strong>in</strong> groceries was<br />

ranged from four to five times a month but it was only 2.2 times <strong>in</strong> mustard. The cost<br />

per qu<strong>in</strong>tal was highest <strong>in</strong> chilli (Rs. 6,651.24) while least <strong>in</strong> rice (Rs. 1,665.51). It was<br />

also reported that the APMC was the only source <strong>of</strong> purchase for grocery products as<br />

it is the only govern<strong>in</strong>g body for market<strong>in</strong>g <strong>of</strong> agricultural commodities. The exist<strong>in</strong>g<br />

policies <strong>of</strong> the government may also prevent from other sources.<br />

9. With respect to fruits and vegetables <strong>in</strong> the state, the purchase frequency was more<br />

<strong>in</strong> tomato (10.83) and banana (10.00) due to their perishability nature <strong>of</strong> the products<br />

<strong>in</strong> general and tomato <strong>in</strong> particular and also to avoid wastages dur<strong>in</strong>g storage. In case<br />

<strong>of</strong> fruits and vegetables, tomato was procured <strong>in</strong> highest (14.63 qu<strong>in</strong>tals) quantity<br />

followed by onion and banana (12.50 qu<strong>in</strong>tals each), and apple (5 qu<strong>in</strong>tals).<br />

10. At an overall <strong>in</strong> the state, the quantity purchased was also found to be more <strong>in</strong> rice<br />

(7.69 qu<strong>in</strong>tals) followed by tur dal (1.55 qu<strong>in</strong>tals), green gram (1.42 qu<strong>in</strong>tals), wheat<br />

(1.09 qu<strong>in</strong>tals), chilli (0.21 qu<strong>in</strong>tals) and mustard (0.12 qu<strong>in</strong>tals). This is attributed to<br />

the fact that the turnover <strong>in</strong> cereals and pulses was much more when compared with<br />

spices, as these products are daily use items by the consumers and hence, the<br />

demand was more <strong>in</strong> these commodities.<br />

11. On the average, The quantity purchased was also more <strong>in</strong> rice (7.69 qu<strong>in</strong>tals)<br />

followed by tur dal (1.55 qu<strong>in</strong>tals), green gram (1.42 qu<strong>in</strong>tals), wheat (1.09 qu<strong>in</strong>tals),<br />

chilli (0.21 qu<strong>in</strong>tals) and mustard (0.12 qu<strong>in</strong>tals). The total amount spent found to be<br />

much <strong>in</strong> rice (Rs. 57,715.31) due to its high quantity purchase. The ma<strong>in</strong> source <strong>of</strong><br />

purchase for groceries was APMC only.<br />

12. State as a whole, rice (34.65 qu<strong>in</strong>tals) followed by tur dal (6.95 qu<strong>in</strong>tals), green<br />

gram (6.36 qu<strong>in</strong>tals), wheat (4.91 qu<strong>in</strong>tals), chilli (0.65 qu<strong>in</strong>tals) and mustard (0.26<br />

qu<strong>in</strong>tals) were the major groceries procured by the <strong>supermarket</strong>s as these are the<br />

daily use items by the consumers and hence the demand was more <strong>in</strong> these cases.<br />

Whereas, <strong>in</strong> case <strong>of</strong> spices such as chilli and mustard the quantity purchased was<br />

very meager (less than 0.5 qu<strong>in</strong>tals/month) because <strong>of</strong> less turnover <strong>in</strong> these<br />

commodities. In proportion to the quantity, the total costs were also found high <strong>in</strong><br />

respective commodities. The sales tax was found only <strong>in</strong> spices and it was Rs. 87.42<br />

<strong>in</strong> chilli which is followed by mustard.<br />

13. Similarly, <strong>in</strong> case <strong>of</strong> fruits and vegetables, the purchase was highest <strong>in</strong> case <strong>of</strong><br />

tomato (23.25 qu<strong>in</strong>tals) followed by banana (13.83 qu<strong>in</strong>tals), onion (9.33 qu<strong>in</strong>tals) and<br />

apple (5.50 qu<strong>in</strong>tals). The total costs <strong>in</strong>curred were Rs. 24,148.15, Rs. 7,058.15 and<br />

Rs. 12,070.33 for apple, banana, onion and tomato depend<strong>in</strong>g on their demand<br />

prevalence.<br />

14. In all the commodities, quantity procured and their unit costs were found high <strong>in</strong><br />

Bangalore alone. It may be due to higher average size <strong>of</strong> the <strong>supermarket</strong>s and high<br />

turnover <strong>of</strong> the commodities. In contrast, the commodity procurement was found to be<br />

less <strong>in</strong> Belgaum due to the existence small sized un-organized <strong>supermarket</strong>s and<br />

their small turnover.<br />

15. In fruits and vegetables, the quantity procured was maximum <strong>in</strong> banana (13.83<br />

qu<strong>in</strong>tals) followed by was tomato (45.75 qu<strong>in</strong>tals) followed by banana (41.50


qu<strong>in</strong>tals), onion (28.00 qu<strong>in</strong>tals) and apple (11.00 qu<strong>in</strong>tals). It was depend<strong>in</strong>g upon<br />

their exist<strong>in</strong>g demand, whereas, the cost per qu<strong>in</strong>tal and total costs <strong>in</strong>curred were<br />

more <strong>in</strong> banana (Rs. 1,742.77/qu<strong>in</strong>tal and Rs. 72,325.00 total cost) followed by apple<br />

(Rs. 5,495.00/qu<strong>in</strong>tal and Rs. 60,445.00 total cost), onion (Rs. 756.67/qu<strong>in</strong>tal and Rs.<br />

21,186.67 total cost) and tomato (Rs. 539.26/qu<strong>in</strong>tal and Rs. 24,671.25 total cost). It<br />

was also observed that fruits and vegetables procured from various sources such as<br />

wholesale market, own production and direct purchase from farmers. Except<br />

Bangalore, almost all the cities purchased fruits and vegetables from wholesale<br />

market only. The transport costs detected high <strong>in</strong> tomato (Rs. 2,467.25) and banana<br />

(Rs. 2,125.00) as the quantity procured was high <strong>in</strong> these commodities.<br />

16. City-wise average monthly cost <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong> commodities by the<br />

<strong>supermarket</strong>s found that the monthly total quantity procured was highest <strong>in</strong> Bangalore<br />

(142.90 qu<strong>in</strong>tals) followed by Mysore (94.81 qu<strong>in</strong>tals), Mangalore (74.63 qu<strong>in</strong>tals),<br />

Hubli-Dharwad (43.67 qu<strong>in</strong>tals) and Belgaum (25.29 qu<strong>in</strong>tals) depend<strong>in</strong>g on size<br />

<strong>supermarket</strong>s and the turnovers <strong>in</strong> respective cities as the <strong>supermarket</strong>s size and the<br />

turnovers were maximum <strong>in</strong> the city. Except tomato, total costs per qu<strong>in</strong>tal <strong>in</strong> all the<br />

commodities were also found to be high <strong>in</strong> Bangalore only. This is ma<strong>in</strong>ly because <strong>of</strong><br />

the reason that the <strong>supermarket</strong>s <strong>in</strong> Bangalore procur<strong>in</strong>g tomato from different<br />

sources like direct procurement from the farmers and wholesale auction market like<br />

Safal Company which is ma<strong>in</strong>ly deal<strong>in</strong>g with auction<strong>in</strong>g <strong>of</strong> fruits and vegetables. Apart<br />

from this, own production <strong>of</strong> fruits and vegetables were also observed <strong>in</strong> few<br />

<strong>supermarket</strong>s.<br />

17. The costs <strong>of</strong> <strong>in</strong>ventory and prepar<strong>in</strong>g the products for sale <strong>in</strong> selected cities across<br />

Karnataka revealed the short time period <strong>in</strong>ventories ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> different<br />

commodities by the <strong>supermarket</strong>s <strong>in</strong> the state. The two <strong>in</strong>ventory approaches<br />

followed by these <strong>supermarket</strong>s are Material Requirements Plann<strong>in</strong>g (MRP) and Just-<br />

In-Time replenishments. The <strong>in</strong>ventory period was ranged from between four to 4.5<br />

days <strong>in</strong> all the groceries except mustard where the storage period was 13.82 days. In<br />

case <strong>of</strong> fruits and vegetables, the <strong>in</strong>ventory period was one day to three days only<br />

because <strong>of</strong> their perishability and demand for only fresh items by the consumers.<br />

18. The average quantity <strong>of</strong> <strong>in</strong>ventories ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> groceries were high <strong>in</strong> rice (7.12<br />

qu<strong>in</strong>tals) followed by tur dal (1.55 qu<strong>in</strong>tals), green gram (1.44 qu<strong>in</strong>tals), wheat (1.13<br />

qu<strong>in</strong>tals), chilli (0.14 qu<strong>in</strong>tals) and mustard (0.11 qu<strong>in</strong>tals). Among <strong>in</strong>ventories, the<br />

f<strong>in</strong>ished product <strong>in</strong>ventory was found to be highest both <strong>in</strong> terms <strong>of</strong> quantity and<br />

storage period as the product should be ready for sales shelves to ma<strong>in</strong>ta<strong>in</strong> regular<br />

and accurate stocks for the consumers. Next to f<strong>in</strong>ished product <strong>in</strong>ventory, most <strong>of</strong><br />

the product was deta<strong>in</strong>ed at work <strong>in</strong> sales <strong>in</strong>ventory.<br />

19. The packag<strong>in</strong>g material cost and labour charges for clean<strong>in</strong>g and pack<strong>in</strong>g were<br />

found to be the major cost components <strong>of</strong> <strong>in</strong>ventory management <strong>in</strong> all the<br />

commodities as the packag<strong>in</strong>g <strong>in</strong>volve costly, durable, attractive material and pr<strong>in</strong>ted<br />

<strong>in</strong>formation on it to attract customers. The m<strong>in</strong>or costs <strong>in</strong>clude <strong>in</strong>terest on work<strong>in</strong>g<br />

capital at the rate <strong>of</strong> 12.5 per cent and shr<strong>in</strong>kage/wastage <strong>of</strong> the product.<br />

20. In fruits and vegetables, the quantity <strong>of</strong> <strong>in</strong>ventories ma<strong>in</strong>ta<strong>in</strong>ed and their values<br />

were high <strong>in</strong> onion (1.26 qu<strong>in</strong>tals valued at Rs. 1078.81) and low <strong>in</strong> apple (0.24<br />

qu<strong>in</strong>tals valued at Rs. 1548.97) due to their turnover and demand. The f<strong>in</strong>ished<br />

product <strong>in</strong>ventories were ma<strong>in</strong>ta<strong>in</strong>ed <strong>in</strong> highest quantity for long period <strong>in</strong> onion<br />

compared to other fruits and vegetables because <strong>of</strong> its non-perishability for some<br />

time.<br />

21. Shr<strong>in</strong>kage perceived to be the highest cost <strong>in</strong> apple (Rs. 159.96) followed by<br />

banana (Rs. 135.38), onion (Rs. 79.90) and tomato (Rs. 59.67). The cold storage<br />

cost was Rs. 32.70 <strong>in</strong> tomato, Rs. 27.28 <strong>in</strong> banana and Rs. 8.18 <strong>in</strong> apple and it was<br />

used <strong>in</strong> few <strong>supermarket</strong>s only for tomato, banana and apple.<br />

22. The quantity <strong>of</strong> <strong>in</strong>ventory ma<strong>in</strong>ta<strong>in</strong>ed was high <strong>in</strong> Bangalore (25.66 qu<strong>in</strong>tals)<br />

followed by Mysore (17.65 qu<strong>in</strong>tals), Mangalore (12.26 qu<strong>in</strong>tals), Hubli-Dharwad<br />

(11.95 qu<strong>in</strong>tals) and Belgaum (5.77 qu<strong>in</strong>tals), the average <strong>in</strong>ventory period was<br />

highest (6.13 days) <strong>in</strong> Belgaum followed by Mangalore (5.83 days), Hubli-Dharwad<br />

(5.56 days), Bangalore (4.85 days) and Mysore (4.50 days). Among different


commodities, the quantity stored was maximum <strong>in</strong> onion (10.64 qu<strong>in</strong>tals <strong>in</strong> Bangalore,<br />

7.48 qu<strong>in</strong>tals <strong>in</strong> Mysore and 7.00 qu<strong>in</strong>tals <strong>in</strong> Mangalore) <strong>in</strong> all the cities and m<strong>in</strong>imum<br />

<strong>in</strong> chilli (0.33 qu<strong>in</strong>tals <strong>in</strong> Bangalore, 0.16 qu<strong>in</strong>tals <strong>in</strong> Mysore, 0.12 qu<strong>in</strong>tals <strong>in</strong><br />

Mangalore, 0.04 qu<strong>in</strong>tals <strong>in</strong> Belgaum and 0.07 qu<strong>in</strong>tals <strong>in</strong> Hubli-Dharwad) depend<strong>in</strong>g<br />

on the respective demand for the produce and turnover <strong>of</strong> the <strong>supermarket</strong>s.<br />

23. In case <strong>of</strong> <strong>in</strong>ventory costs, packag<strong>in</strong>g materials followed by labour charges,<br />

shr<strong>in</strong>kage and <strong>in</strong>terest on work<strong>in</strong>g capital were identified as the cost components.<br />

The higher packag<strong>in</strong>g cost was due to use <strong>of</strong> good packag<strong>in</strong>g material embossed<br />

with trademark as most <strong>of</strong> the <strong>supermarket</strong>s have their own brand names. The<br />

greater total <strong>in</strong>ventory costs and total costs were also noticed <strong>in</strong> Bangalore <strong>in</strong> almost<br />

all the products. But these costs were varied across cities and commodities.<br />

24. In fruits and vegetables, the average quantity <strong>in</strong>ventory ma<strong>in</strong>ta<strong>in</strong>ed was high <strong>in</strong><br />

onion (23.09 qu<strong>in</strong>tals) and the next were tomato (1.39 qu<strong>in</strong>tals), banana (1.38<br />

qu<strong>in</strong>tals) and apple (0.60 qu<strong>in</strong>tals) depend<strong>in</strong>g on the perishability nature and<br />

prevail<strong>in</strong>g demand for the products. the total <strong>in</strong>ventory cost per qu<strong>in</strong>tal was highest <strong>in</strong><br />

apple (Rs. 756.35) followed by Rs. 268.49 <strong>in</strong> banana, Rs. 190.67 <strong>in</strong> tomato and Rs.<br />

143.31 <strong>in</strong> onion due to high unit cost <strong>of</strong> the respective products.<br />

25. The quantity <strong>of</strong> <strong>in</strong>ventory ma<strong>in</strong>ta<strong>in</strong>ed was high <strong>in</strong> Bangalore (25.66 qu<strong>in</strong>tals)<br />

followed by Mysore (17.65 qu<strong>in</strong>tals), Mangalore (12.26 qu<strong>in</strong>tals), Hubli-Dharwad<br />

(11.95 qu<strong>in</strong>tals) and Belgaum (5.77 qu<strong>in</strong>tals), the average <strong>in</strong>ventory period was<br />

highest (6.13 days) <strong>in</strong> Belgaum followed by Mangalore (5.83 days), Hubli-Dharwad<br />

(5.56 days), Bangalore (4.85 days) and Mysore (4.50 days).<br />

26. With respect to cost components, packag<strong>in</strong>g costs were found to be the prime<br />

constituent, on an average it accounts for Rs. 1,789.43 <strong>in</strong> Bangalore followed by Rs.<br />

694.00 <strong>in</strong> Mysore, Rs. 685.22 <strong>in</strong> Mangalore, Rs. 982.33 <strong>in</strong> Hubli-Dharwad and Rs.<br />

397.90 <strong>in</strong> Belgaum. The highest packag<strong>in</strong>g cost attributed to the use <strong>of</strong> costly<br />

material <strong>in</strong> packag<strong>in</strong>g, which is durable, attractive and pr<strong>in</strong>ted <strong>in</strong>formation (which<br />

<strong>in</strong>cludes their trade mark and brand names) on it to attract the customers.<br />

27. The results revealed that <strong>in</strong> the entire groceries deal<strong>in</strong>gs cent per cent <strong>of</strong> clean<strong>in</strong>g,<br />

bagg<strong>in</strong>g and labell<strong>in</strong>g and stick<strong>in</strong>g were undertaken by all the <strong>supermarket</strong>s to<br />

ma<strong>in</strong>ta<strong>in</strong> good relationship with the consumers by provid<strong>in</strong>g good quality products. In<br />

addition, it is very much necessary and the only way to compete with the conventional<br />

stores. On the other hand, these activities help <strong>in</strong> market segmentation with price<br />

differentiation. However, grad<strong>in</strong>g was observed <strong>in</strong> 66.67 per cent <strong>of</strong> the Bangalore<br />

<strong>supermarket</strong>s but it was not seen <strong>in</strong> Belgaum <strong>supermarket</strong>s s<strong>in</strong>ce most <strong>of</strong> the<br />

<strong>supermarket</strong>s are un-organized <strong>in</strong> the city. In overall, cent per cent <strong>of</strong> <strong>supermarket</strong>s<br />

across the Karnataka followed clean<strong>in</strong>g, bagg<strong>in</strong>g and label<strong>in</strong>g and stick<strong>in</strong>g activities<br />

whereas 26.67 per cent <strong>of</strong> the <strong>supermarket</strong>s undertook grad<strong>in</strong>g activities.<br />

28. In fruits and vegetables clean<strong>in</strong>g activity was observed <strong>in</strong> all the <strong>supermarket</strong>s as it<br />

is a basic th<strong>in</strong>g to differentiate from other stores which are deal<strong>in</strong>g with these<br />

products because <strong>of</strong> the existence <strong>of</strong> local fruits and vegetables vendors <strong>in</strong> all the<br />

cities. In contrast to this, all the Bangalore <strong>supermarket</strong>s followed grad<strong>in</strong>g, bagg<strong>in</strong>g,<br />

and label<strong>in</strong>g and stick<strong>in</strong>g activities s<strong>in</strong>ce the consumers <strong>of</strong> these markets <strong>in</strong> the city<br />

are highly sophisticated with high standard <strong>of</strong> liv<strong>in</strong>g. At an overall, it accounts cent<br />

per cent <strong>of</strong> <strong>supermarket</strong>s carried out clean<strong>in</strong>g activity and 33.33 per cent each<br />

followed grad<strong>in</strong>g, bagg<strong>in</strong>g and label<strong>in</strong>g and stick<strong>in</strong>g activities across the state.<br />

29. It is observed that <strong>in</strong> Bangalore <strong>supermarket</strong>s, the average value added <strong>in</strong> case <strong>of</strong><br />

groceries was more <strong>in</strong> wheat (31.33 per cent) followed by rice (30.59 per cent),<br />

mustard (28.05 per cent), tur dal (23.45 per cent), green gram (19.94 per cent) and<br />

chilli (17.52 per cent) due to higher prices obta<strong>in</strong>ed and relatively lower percent <strong>of</strong><br />

wastages.<br />

30. On the other hand, <strong>in</strong> fruits and vegetable category the per cent value addition <strong>in</strong><br />

Bangalore <strong>supermarket</strong>s was found to be highest <strong>in</strong> tomato (64.78 per cent) as<br />

aga<strong>in</strong>st 20.65 per cent <strong>in</strong> apple. This <strong>in</strong>dicated the benefits <strong>of</strong> use <strong>of</strong> different sources<br />

<strong>of</strong> purchase for the produce such as direct procurement from the farmers and own


production will obviously enhances realization especially <strong>in</strong> case <strong>of</strong> vegetables like<br />

tomato.<br />

31. At the overall <strong>supermarket</strong>s across the state, the higher per cent <strong>of</strong> value addition<br />

was noticed <strong>in</strong> mustard (27.68 per cent) among groceries and tomato (49.21 per cent)<br />

<strong>in</strong> fruits and vegetables. The higher price realization from mustard was due to<br />

absence <strong>of</strong> clean<strong>in</strong>g, grad<strong>in</strong>g <strong>of</strong> these produce <strong>in</strong> other markets as it is less<br />

demanded from the consumers. However, out <strong>of</strong> the selected cities, the maximum<br />

value addition <strong>in</strong> both groceries, and fruits and vegetables were found <strong>in</strong> Bangalore<br />

because <strong>of</strong> higher prices <strong>of</strong> the produces <strong>in</strong> this market.<br />

32. The ratio <strong>of</strong> total liabilities to owned funds was found to be 0.798, 0.600, 1.905,<br />

3.535, 0.345 <strong>in</strong> Bangalore, Mysore, Mangalore, Hubli-Dharwad and Belgaum,<br />

respectively. The ratio <strong>of</strong> fixed assets to owned funds was found to be the highest <strong>in</strong><br />

Mangalore (1.731) followed by Hubli-Dharwad (1.367) and Bangalore (0.697).<br />

33. It was noticed that <strong>in</strong> all the <strong>supermarket</strong>s, the liquid assets to total assets ratio was<br />

less than 0.5, which is 0.459 <strong>in</strong> Bangalore, 0.404 <strong>in</strong> Mysore, 0.399 <strong>in</strong> Mangalore,<br />

0.157 <strong>in</strong> Belgaum and 0.268 <strong>in</strong> Hubli-Dharwad and hence the overall was 0.337. It<br />

<strong>in</strong>dicated that more than 50 per cent <strong>of</strong> the assets were not <strong>in</strong> liquid assets form.<br />

34. The current ratio (ratio <strong>of</strong> current assets to current liabilities) presented <strong>in</strong> the table<br />

<strong>in</strong>dicated that the ratio was more than one <strong>in</strong> all the cities <strong>supermarket</strong>s except<br />

Mysore, where<strong>in</strong> the ratio was 0.994. It means to say the <strong>supermarket</strong>s had more<br />

than one rupee <strong>of</strong> current assets per rupee <strong>of</strong> current liabilities.<br />

35. Net pr<strong>of</strong>its to fixed assets ratio were found to be high <strong>in</strong> Mysore where<strong>in</strong> the ratio<br />

was 1.297 and least <strong>in</strong> Bangalore (0.572) and <strong>in</strong> other cities also the ratio was more<br />

than 0.677. This <strong>in</strong>dicated that the pr<strong>of</strong>it generated per rupee <strong>of</strong> fixed assets was<br />

quite good <strong>in</strong> all the cities <strong>in</strong> turn it <strong>in</strong>dicates the efficient use <strong>of</strong> fixed assets by the<br />

<strong>supermarket</strong>s. Similarly, the overall net pr<strong>of</strong>it to total assets was 2.499 which <strong>in</strong>dicate<br />

that the pr<strong>of</strong>it generated per rupee <strong>of</strong> total assets was nearly 2.50 rupees which<br />

shown the improved efficiency <strong>of</strong> <strong>supermarket</strong>s <strong>in</strong> utiliz<strong>in</strong>g the total assets. The ratio<br />

<strong>of</strong> net pr<strong>of</strong>its to owned funds ratio po<strong>in</strong>t outs the net pr<strong>of</strong>its for each rupee <strong>of</strong> own<br />

funds used <strong>in</strong> the bus<strong>in</strong>ess, which were 4.621 <strong>in</strong>case <strong>of</strong> Mangalore, while 1.773 <strong>in</strong><br />

case <strong>of</strong> Hubli-Dharwad and the least was observed <strong>in</strong> Belgaum (0.537). This ratio<br />

shows that the <strong>supermarket</strong>s were quite able to protect its equity and hence generate<br />

pr<strong>of</strong>its on the equity. Net pr<strong>of</strong>its to total sales were also found to be very significant <strong>in</strong><br />

all the cities across the state <strong>in</strong>dicat<strong>in</strong>g more than a 0.170 rupee contribution to per<br />

rupee total sales.<br />

36. The work<strong>in</strong>g capital turnover ratio was highest <strong>of</strong> 5.156 <strong>in</strong> Belgaum followed by<br />

1.890 <strong>in</strong> Bangalore, 1.576 <strong>in</strong> Mangalore, 1.539 <strong>in</strong> Hubli-Dharwad and 1.331 <strong>in</strong> Mysore<br />

<strong>supermarket</strong>s. This <strong>in</strong>dicated the turnover per unit <strong>of</strong> work<strong>in</strong>g capital was higher <strong>in</strong><br />

Belgaum over all other <strong>supermarket</strong>s and good <strong>in</strong> all other cities. In contrast, the fixed<br />

assets to turnover ratios were higher <strong>in</strong> the order <strong>of</strong> Mysore, Hubli-Dharwad,<br />

Mangalore, Belgaum and <strong>in</strong> Bangalore (6.784, 4.319, 3.971, 3.931 and 3.581,<br />

respectively). This was because these <strong>supermarket</strong>s were able to achieve higher<br />

sales targets with less <strong>in</strong>vestment <strong>in</strong> fixed assets accord<strong>in</strong>gly.<br />

37. State as whole, the factors considered while pric<strong>in</strong>g the products at <strong>supermarket</strong>s<br />

attached significance importance to the quality <strong>of</strong> the products and nature <strong>of</strong> the<br />

products which are mostly consumer oriented as he decides the fate <strong>of</strong> the bus<strong>in</strong>ess,<br />

whereas competition, price should not be high, price should ensure pr<strong>of</strong>itability were<br />

firm oriented as these factors decides his pr<strong>of</strong>it.<br />

38. It was found that absorption cost pric<strong>in</strong>g and go<strong>in</strong>g rate pric<strong>in</strong>g method were<br />

adopted by cent per cent <strong>of</strong> the Bangalore <strong>supermarket</strong>s. All the <strong>supermarket</strong>s <strong>in</strong><br />

Mangalore adopted absorption cost pric<strong>in</strong>g and go<strong>in</strong>g rate or market pric<strong>in</strong>g methods,<br />

whereas 66.67 per cent <strong>of</strong> them <strong>in</strong> the city also made use <strong>of</strong> loss leader pric<strong>in</strong>g to try<br />

and attract the customers. The pric<strong>in</strong>g <strong>in</strong> Belgaum <strong>supermarket</strong>s was done through<br />

absorption cost pric<strong>in</strong>g and go<strong>in</strong>g rate or market pric<strong>in</strong>g methods by all the firms<br />

together with discount<strong>in</strong>g pric<strong>in</strong>g by 33.33 per cent <strong>of</strong> the <strong>supermarket</strong>s occasionally<br />

at the time <strong>of</strong> festivals. Similarly, the methods employed by the Hubli-Dharwad


<strong>supermarket</strong>s were absorption cost pric<strong>in</strong>g, discount<strong>in</strong>g pric<strong>in</strong>g (<strong>in</strong> festivals) and go<strong>in</strong>g<br />

rate or market pric<strong>in</strong>g methods by almost all the <strong>supermarket</strong>s.<br />

39. At an overall, cent per cent <strong>of</strong> the <strong>supermarket</strong>s <strong>in</strong> the state followed absorption<br />

cost pric<strong>in</strong>g and go<strong>in</strong>g rate or market pric<strong>in</strong>g methods <strong>in</strong> pric<strong>in</strong>g the products at<br />

<strong>supermarket</strong>s. About 60 per cent followed discount<strong>in</strong>g pric<strong>in</strong>g dur<strong>in</strong>g special days like<br />

festivals, while 33.33 per cent and 26.67 per cent adopted penetration pric<strong>in</strong>g and<br />

loss leader pric<strong>in</strong>g methods. A small proportion (13.33 per cent and 6.67 per cent) <strong>of</strong><br />

the <strong>supermarket</strong>s also adopted target pric<strong>in</strong>g for selected products and destroyer or<br />

destructor pric<strong>in</strong>g methods were used to try and attract customers for the shopp<strong>in</strong>g at<br />

<strong>supermarket</strong>s.<br />

40. The problems <strong>in</strong> the <strong>supermarket</strong> bus<strong>in</strong>ess were many but the variation were<br />

governed by a few dimensions. Non availability <strong>of</strong> tra<strong>in</strong>ed employees, banks for<br />

sources <strong>of</strong> f<strong>in</strong>ance, demand for credit from the customers and barga<strong>in</strong> from the<br />

customers were the key problems among 38 variables considered. As the<br />

<strong>supermarket</strong> bus<strong>in</strong>ess is new approach towards organized market<strong>in</strong>g hence there<br />

may be a lack <strong>of</strong> availability <strong>of</strong> tra<strong>in</strong>ed personnel; as the bus<strong>in</strong>ess requires huge<br />

<strong>in</strong>vestments and uncerta<strong>in</strong>ty <strong>of</strong> the success may restra<strong>in</strong> f<strong>in</strong>ancial sector towards<br />

<strong>retail<strong>in</strong>g</strong> bus<strong>in</strong>ess. The credit and barga<strong>in</strong>s from the customers are as usual <strong>in</strong> any<br />

bus<strong>in</strong>ess activities. In contrast, advertisement rate and coverage <strong>of</strong> area, WTO<br />

impact on pr<strong>of</strong>it marg<strong>in</strong> and price <strong>of</strong> the products and market <strong>in</strong>formation from the<br />

wholesalers have shown no impact.<br />

41. The other problems quoted by the retailers listed <strong>in</strong> subsequent dimensions were<br />

VAT charges, demand for new products from the customers, land and build<strong>in</strong>g and<br />

f<strong>in</strong>ancial resources, price variation by the wholesalers, storage facilities and agencies<br />

for supply <strong>of</strong> products to <strong>supermarket</strong>s, delayed delivery from the wholesalers,<br />

exist<strong>in</strong>g location <strong>of</strong> the site and availability <strong>of</strong> untra<strong>in</strong>ed employees have<br />

consequences on the problems <strong>of</strong> the <strong>retail<strong>in</strong>g</strong>.<br />

42. It was observed that convenient location <strong>of</strong> the <strong>supermarket</strong>, range <strong>of</strong> products<br />

availability, convenient for purchase, availability <strong>of</strong> quality products were considered<br />

as the prime factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to go for purchase at <strong>supermarket</strong>s<br />

most <strong>of</strong> these are concerned to accessibility and product oriented factors. Influenc<strong>in</strong>g<br />

factors cluster comprised <strong>of</strong> major factors such as reasonable prices, park<strong>in</strong>g facility,<br />

shopp<strong>in</strong>g is seen enjoyable at <strong>supermarket</strong>s, attractive pack<strong>in</strong>g, schemes and <strong>of</strong>fers,<br />

concern about health, welfare and the environment, <strong>in</strong>fluence <strong>of</strong> peer group,<br />

availability <strong>of</strong> range <strong>of</strong> brands most <strong>of</strong> which <strong>in</strong>fluences the consumers to opt<br />

purchases at <strong>supermarket</strong>s and the third clusters group was named as product<br />

promotion factors s<strong>in</strong>ce it consists <strong>of</strong> promotion factors like payment methods,<br />

<strong>in</strong>terest <strong>in</strong> eat<strong>in</strong>g foreign <strong>food</strong>s, home delivery facility, new products market<br />

development, attractive advertisement, fresh fruits and vegetables and fresh bakery<br />

products availability etc.<br />

Policy Implications<br />

1. It was observed from the study that the organized <strong>supermarket</strong>s were perform<strong>in</strong>g<br />

better than the unorganized <strong>supermarket</strong>s and most <strong>of</strong> the exist<strong>in</strong>g <strong>supermarket</strong>s <strong>in</strong><br />

the state are un-organized, hence, there is a lot <strong>of</strong> scope for the <strong>supermarket</strong><br />

bus<strong>in</strong>ess to shift from un-organized to organized form <strong>of</strong> <strong>retail<strong>in</strong>g</strong> to cater the<br />

chang<strong>in</strong>g needs <strong>of</strong> the modern customers.<br />

2. It would be better if large sized <strong>supermarket</strong>s created at the outset because size is<br />

an advantage or a necessity. A large store is designed and built have the capacity<br />

to deal with the expected number <strong>of</strong> customers <strong>in</strong> the neighbourhood but a small<br />

grocery store could not compete effectively <strong>in</strong> price and selection with other nearby<br />

<strong>supermarket</strong>s.<br />

3. It was found from the study that the <strong>in</strong>vestments <strong>in</strong> establishment, modernization<br />

and expansion are capital <strong>in</strong>tensive <strong>in</strong> <strong>supermarket</strong>s. Therefore, the jo<strong>in</strong>t ventures<br />

between local companies and local-foreign companies will be the suitable<br />

strategies than the purely foreign ones <strong>in</strong> the fledgl<strong>in</strong>g organized India's <strong>retail<strong>in</strong>g</strong><br />

<strong>in</strong>dustry.


4. Due to an ongo<strong>in</strong>g process <strong>of</strong> <strong>in</strong>creas<strong>in</strong>g organization and implementation <strong>of</strong><br />

<strong>in</strong>formation technology, the retail sector has to adopt a new form <strong>of</strong> relationship with<br />

suppliers, and needs to develop a wide range <strong>of</strong> knowledge regard<strong>in</strong>g the habits <strong>of</strong><br />

different consumers <strong>in</strong> accordance with their chang<strong>in</strong>g needs toward the transfer <strong>of</strong><br />

power <strong>in</strong> the productive cha<strong>in</strong>, from <strong>in</strong>dustry to retail.<br />

5. In order to establish and effectuate an uniform procedure for the handl<strong>in</strong>g <strong>of</strong><br />

purchas<strong>in</strong>g matters; to obta<strong>in</strong> the most suitable services and commodities at the<br />

lowest price; and to promote the best possible means <strong>of</strong> exercis<strong>in</strong>g f<strong>in</strong>ancial control<br />

over expenditures, the centralized purchas<strong>in</strong>g system should be adopted by the<br />

<strong>supermarket</strong>s hav<strong>in</strong>g multi outlets/cha<strong>in</strong> <strong>of</strong> outlets as it was yielded better<br />

performance <strong>in</strong> the selected organized <strong>supermarket</strong>s <strong>in</strong> the study. It optimizes<br />

multi-store <strong>in</strong>ventory control from one central location to manage Just-In-Time<br />

replenishment. Those firms operat<strong>in</strong>g <strong>in</strong> with<strong>in</strong> these environments need an astute<br />

understand<strong>in</strong>g <strong>of</strong> the cha<strong>in</strong>s, the hierarchy <strong>of</strong> channel members and their relative<br />

position.<br />

6. It was noticed from the study that all the retailers /<strong>supermarket</strong>s purchased grocery<br />

items from the Agricultural Market<strong>in</strong>g Produce Market Committee (APMC) only.<br />

Hence, the government /APMC’s should give more emphasis on strengthen<strong>in</strong>g and<br />

more effective function<strong>in</strong>g <strong>of</strong> the regulated markets <strong>in</strong> terms <strong>of</strong> creation <strong>of</strong><br />

<strong>in</strong>frastructural facilities, value addition, packag<strong>in</strong>g etc., to get hold its position.<br />

7. As it was observed from the study that the total costs <strong>in</strong>curred <strong>in</strong> procurement <strong>of</strong><br />

tomato was less at Bangalore when compared to other cities because <strong>of</strong> the use <strong>of</strong><br />

various sources like direct procurement from the farmers and own production. It is<br />

highly recommended that the <strong>supermarket</strong>ers to go for these sources to get<br />

wholesales’ marg<strong>in</strong> plus concession as they buy <strong>in</strong> bulk and are also the producers.<br />

If, it is from the farmers, it alerts them about the importance <strong>of</strong> production <strong>of</strong> quality<br />

produce <strong>in</strong> turn for their benefits.<br />

8. Special emphasis must be placed on the computerization <strong>of</strong> the sector, which help<br />

to improve the efficiency <strong>in</strong> operations <strong>of</strong> procurement and <strong>in</strong>ventory management<br />

which is <strong>in</strong> turn provid<strong>in</strong>g greater knowledge on product flows, and efficiency ga<strong>in</strong>s<br />

<strong>in</strong> the producer-retailer cha<strong>in</strong> as it was detected <strong>in</strong> the study that the organized<br />

<strong>supermarket</strong>s have already adopted Just-In-Time (JIT) and Material Reassessment<br />

Plann<strong>in</strong>g (MRP) approaches <strong>in</strong> ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g procurement and <strong>in</strong>ventory<br />

management aspects and hence they are controll<strong>in</strong>g costs efficiently and effectively<br />

<strong>in</strong> the bus<strong>in</strong>ess.<br />

9. It was revealed from the study that even after account<strong>in</strong>g the quality and nature <strong>of</strong><br />

the products, competition and supply side characteristics, demographical<br />

characteristics such as density <strong>of</strong> the population, average <strong>food</strong> expenditure, <strong>in</strong>come<br />

<strong>of</strong> households, average household size, number <strong>of</strong> stores <strong>in</strong> the area, size <strong>of</strong> the<br />

store etc., should be taken care before mak<strong>in</strong>g pric<strong>in</strong>g decisions <strong>in</strong> the<br />

<strong>supermarket</strong>s as these factors plays a significant role <strong>in</strong> the choice <strong>of</strong> the products<br />

by the consumers.<br />

10. The solvency and liquidity ratios <strong>of</strong> the <strong>supermarket</strong>s were found to be very<br />

negligible and hence they should be taken care for improv<strong>in</strong>g the own funds,<br />

volume <strong>of</strong> bus<strong>in</strong>ess and liquidity position to the need <strong>of</strong> improv<strong>in</strong>g f<strong>in</strong>ancial<br />

strengths <strong>of</strong> the <strong>supermarket</strong>s.<br />

11. The results from the Pr<strong>in</strong>cipal Component Analysis shown that the availability <strong>of</strong><br />

tra<strong>in</strong>ed employees, credit and barga<strong>in</strong>s from the customers, lack <strong>of</strong> government<br />

schemes for f<strong>in</strong>ance, repayment from the customers, credit facility from the<br />

wholesalers, electricity and advertisement were the key problems <strong>in</strong> the<br />

<strong>supermarket</strong> bus<strong>in</strong>ess. Therefore, it is cautioned the <strong>food</strong> retailers risk a loss <strong>of</strong><br />

image or even a loss <strong>of</strong> the customer if they do not learn to react effectively to the<br />

problems encountered <strong>in</strong> the process <strong>of</strong> the bus<strong>in</strong>ess, which may lead to failures.<br />

Hence, they should concentrate to the latest <strong>retail<strong>in</strong>g</strong> strategies to improve their<br />

services to the customers and to make pr<strong>of</strong>its.


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Appendix I: Rank<strong>in</strong>g <strong>of</strong> the Factors Considered by Supermarketers <strong>in</strong> Pric<strong>in</strong>g the Products <strong>in</strong> Supermakets<br />

Factors<br />

Sum*<br />

Hubli Mangalore Belgaum<br />

Mean<br />

Score/Avg<br />

Rank Sum*<br />

Mean<br />

Score/Avg<br />

Rank Sum*<br />

Mean<br />

Score/Avg Rank<br />

Nature <strong>of</strong> products 298.38 99.46 4 299.50 99.83 1 298.05 99.35 5<br />

Market forces (S & D) 297.60 99.20 6 297.23 99.08 7 295.10 98.37 9<br />

Product life 297.72 99.24 7 295.97 98.66 8 296.33 98.78 8<br />

Competition 299.10 99.70 2 298.17 99.39 4 299.26 99.75 1<br />

Long-term pric<strong>in</strong>g 293.76 97.92 12 293.76 97.92 12 294.58 98.19 11<br />

Market segmentation 294.08 98.03 11 294.89 98.30 11 294.57 98.19 12<br />

Relative prices <strong>of</strong> the producers 295.38 98.46 9 295.39 98.46 10 297.72 99.24 6<br />

Price should not be high 298.68 99.56 3 297.93 99.31 6 298.74 99.58 2<br />

Price should ensure pr<strong>of</strong>itability 297.28 99.09 8 298.68 99.56 3 298.62 99.54 4<br />

Price shall convenience prospective<br />

consumers<br />

294.61 98.20 10 295.67 98.56 9 294.68 98.23 10<br />

Quality <strong>of</strong> the products 299.39 99.80 1 298.87 99.62 2 298.74 99.58 3<br />

Availability <strong>of</strong> the products 298.05 99.35 5 297.97 99.32 5 297.64 99.21 7<br />

* = The sum <strong>of</strong> the op<strong>in</strong>ions <strong>of</strong> the <strong>supermarket</strong>ers converted <strong>in</strong>to scores (Garret table scores),<br />

** = The value <strong>of</strong> the sum divided by the total number <strong>of</strong> respondents.<br />

Contd…….


Factors<br />

Sum*<br />

Mysore Bangalore Overall<br />

Mean<br />

Score/Avg<br />

Rank Sum*<br />

Mean<br />

Score/Avg<br />

Rank Sum*<br />

Mean<br />

Score/Avg**<br />

Nature <strong>of</strong> products 299.51 99.84 1.00 299.03 99.68 3 1494.47 99.63 2<br />

Market forces (S & D) 295.39 98.46 10.00 294.08 98.03 11 1479.40 98.63 9<br />

Product life 297.47 99.16 6.00 297.76 99.25 5 1485.25 99.02 7<br />

Competition 298.16 99.39 5.00 298.05 99.35 4 1492.74 99.52 3<br />

Long-term pric<strong>in</strong>g 293.80 97.93 11.00 293.76 97.92 12 1469.66 97.98 12<br />

Market segmentation 293.76 97.92 12.00 294.40 98.13 10 1471.70 98.11 11<br />

Relative prices <strong>of</strong> the producers 296.36 98.79 9.00 296.38 98.79 9 1481.23 98.75 8<br />

Price should not be high 298.51 99.50 4.00 297.66 99.22 6 1491.52 99.43 4<br />

Price should ensure pr<strong>of</strong>itability 296.57 98.86 7.00 299.26 99.75 2 1490.41 99.36 5<br />

Price shall convenience<br />

prospective consumers<br />

296.38 98.79 8.00 296.78 98.93 8 1478.12 98.54 10<br />

Quality <strong>of</strong> the products 299.50 99.83 2.00 299.27 99.76 1 1495.77 99.72 1<br />

Availability <strong>of</strong> the products 298.62 99.54 3.00 297.60 99.20 7 1489.88 99.33 6<br />

* = The sum <strong>of</strong> the op<strong>in</strong>ions <strong>of</strong> the <strong>supermarket</strong>ers converted <strong>in</strong>to scores (Garret table scores),<br />

** = The value <strong>of</strong> the sum divided by the total number <strong>of</strong> respondents.<br />

Rank


Appendix II: Component Matrix <strong>of</strong> Different Dimensions on the Problems <strong>of</strong> Supermarkets<br />

Variables PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 PC9<br />

Land and build<strong>in</strong>g 0.1938 -0.1521 -0.0246 0.5233 0.2849 -0.3063 0.1058 0.5185 -0.2171<br />

Transportation 0.5561 -0.6319 -0.4132 0.1435 -0.1411 0.0950 0.0343 0.2002 -0.0601<br />

Storage 0.0699 -0.2594 -0.5182 0.2955 0.2139 0.6345 -0.1149 -0.2443 -0.1053<br />

Electricity 0.5232 0.3217 0.0842 0.2593 0.3312 0.0092 0.4499 -0.0864 0.3783<br />

Insurance 0.4866 -0.2126 -0.3160 0.0050 -0.5219 -0.1529 0.1611 -0.1297 -0.0720<br />

Location <strong>of</strong> the site 0.3809 0.4636 0.3020 0.2273 0.2839 0.0935 -0.2763 -0.4656 0.2796<br />

Tra<strong>in</strong>ed employees 0.7973 0.3168 -0.1010 0.0313 0.1382 0.1566 -0.1809 -0.2233 0.0570<br />

Un tra<strong>in</strong>ed employees -0.0815 0.4911 0.1039 -0.4321 0.3211 -0.1278 0.1352 0.2381 0.5366<br />

Agencies -0.0378 -0.1210 0.0803 -0.5020 0.4000 0.5987 -0.0157 -0.0948 -0.0645<br />

Banks 0.7881 -0.2822 -0.0631 -0.0909 -0.3038 0.1763 -0.1346 0.1437 0.0749<br />

Govt. schemes 0.6652 0.3102 -0.4228 -0.0741 0.0446 -0.0939 -0.3620 0.2317 0.0462<br />

Rate -0.4172 -0.2763 -0.2731 0.3089 0.1313 0.3225 0.3421 -0.0330 0.2637<br />

Coverage <strong>of</strong> area -0.5568 -0.4406 0.2213 0.0701 0.3161 0.4091 0.2190 0.3321 -0.0330<br />

Tim<strong>in</strong>g 0.1039 0.6687 0.0727 -0.3710 0.0717 0.1938 0.2628 0.4469 -0.1209<br />

Information -0.1328 0.5205 -0.5735 0.1144 -0.1921 0.2939 -0.2810 -0.1673 -0.2516<br />

F<strong>in</strong>ancial resource -0.0675 0.3378 -0.3577 0.4899 0.4018 -0.1357 0.0448 -0.2830 -0.0919<br />

Experience 0.1979 0.6772 -0.5137 0.1704 0.1502 0.0286 0.1282 0.2375 0.0095<br />

Location -0.1362 -0.3059 0.5932 -0.1795 -0.0909 0.5008 -0.3425 0.1465 0.0252<br />

Contd…..


Competition 0.0095 0.3489 0.5928 0.4683 0.0390 -0.0363 0.0774 0.1237 -0.3014<br />

Price <strong>of</strong> the product -0.7112 0.3525 0.2160 0.3347 0.1790 0.3373 -0.0515 0.0317 0.0027<br />

Marg<strong>in</strong> -0.5589 0.3914 0.0360 -0.0064 0.4288 0.1563 -0.2237 0.0632 -0.0044<br />

Charges 0.2643 -0.0792 0.3752 0.7235 -0.1956 0.3293 0.1404 -0.0649 -0.1803<br />

Credit facility 0.5551 -0.5403 -0.1845 -0.0535 0.3529 0.1060 -0.0835 0.1984 0.0423<br />

Damage <strong>of</strong> products -0.1482 0.6575 0.2198 0.0700 -0.5619 -0.0489 -0.1210 0.0934 0.0086<br />

Marg<strong>in</strong> 0.3119 0.4861 -0.0670 -0.1640 -0.4620 0.3247 0.1088 0.0222 0.1455<br />

Barga<strong>in</strong> 0.6970 0.0306 0.2045 0.4770 0.0868 0.2741 0.0804 0.0137 0.2811<br />

Credit facility 0.7428 0.0855 0.5073 -0.0409 -0.1529 -0.1510 0.0648 -0.2930 -0.0367<br />

Discounts & Offers 0.4536 -0.2001 0.6713 0.1776 0.1742 -0.2617 -0.2234 0.0586 -0.1363<br />

Demand for new products 0.0333 -0.4011 0.3231 0.5576 0.1618 -0.2297 -0.2042 0.1883 0.1930<br />

Repayment 0.5937 -0.1430 0.3475 -0.3639 0.5522 0.0681 0.0145 -0.0425 0.1510<br />

Op<strong>in</strong>ion 0.2487 0.4982 0.2680 -0.3429 -0.0134 0.0632 0.5183 -0.0490 -0.3993<br />

Tax charges 0.4513 0.5829 -0.0888 0.2176 0.3184 0.0768 -0.3572 0.1123 -0.2534<br />

Laws 0.1948 -0.0863 0.4599 -0.3634 0.1724 0.0692 0.3372 -0.3185 -0.3418<br />

Bribes 0.4263 0.6504 -0.0765 -0.0342 -0.0061 0.1084 0.1755 0.2873 0.0374<br />

Procedures 0.0351 0.1572 0.2022 0.4902 -0.5479 0.3539 0.3893 0.1032 0.0963<br />

Price variation -0.4087 0.3204 -0.1671 0.2252 0.5486 -0.3593 0.2030 -0.2003 -0.1223<br />

Delivery 0.2937 -0.4528 -0.3968 -0.0044 0.1958 -0.0709 0.6480 -0.1180 -0.0141<br />

Market <strong>in</strong>formation -0.5876 0.1861 0.1468 0.1614 -0.4139 -0.1250 0.0788 -0.1620 0.3742


Appendix III. Extent <strong>of</strong> Variation Expla<strong>in</strong>ed by Different Dimensions on the Problems <strong>of</strong><br />

Supermarkets <strong>in</strong> Karnataka<br />

Initial Eigenvalues<br />

Extraction Sums <strong>of</strong> Squared<br />

Load<strong>in</strong>gs<br />

Variables<br />

Total<br />

% <strong>of</strong><br />

Variance<br />

Cumulative<br />

%<br />

Total<br />

% <strong>of</strong><br />

Variance<br />

Cumulative %<br />

Land and build<strong>in</strong>g 7.2869 19.1760 19.1760 7.2869 19.1760 19.1760<br />

Transportation 6.0213 15.8454 35.0214 6.0213 15.8454 35.0214<br />

Storage 4.1966 11.0437 46.0651 4.1966 11.0437 46.0651<br />

Electricity 3.7153 9.7770 55.8421 3.7153 9.7770 55.8421<br />

Insurance 3.5814 9.4247 65.2668 3.5814 9.4247 65.2668<br />

Location <strong>of</strong> the site 2.5345 6.6697 71.9366 2.5345 6.6697 71.9366<br />

Tra<strong>in</strong>ed employees<br />

Un tra<strong>in</strong>ed<br />

2.3534 6.1932 78.1298 2.3534 6.1932 78.1298<br />

employees 2.0703 5.4482 83.5780 2.0703 5.4482 83.5780<br />

Agencies 1.7864 4.7010 88.2790 1.7864 4.7010 88.2790<br />

Banks 1.5608 4.1074 92.3863 1.5608 4.1074 92.3863<br />

Govt. schemes 0.9450 2.4868 94.8731<br />

Rate 0.8874 2.3352 97.2083<br />

Coverage <strong>of</strong> area 0.5814 1.5301 98.7383<br />

Tim<strong>in</strong>g 0.4794 1.2617 100.0000<br />

Information 0.0000 0.0000 100.0000<br />

F<strong>in</strong>ancial resource 0.0000 0.0000 100.0000<br />

Experience 0.0000 0.0000 100.0000<br />

Location 0.0000 0.0000 100.0000<br />

Competition<br />

Price <strong>of</strong> the<br />

0.0000 0.0000 100.0000<br />

product 0.0000 0.0000 100.0000<br />

Marg<strong>in</strong> 0.0000 0.0000 100.0000<br />

Charges 0.0000 0.0000 100.0000<br />

Credit facility<br />

Damage <strong>of</strong><br />

0.0000 0.0000 100.0000<br />

products 0.0000 0.0000 100.0000<br />

Marg<strong>in</strong> 0.0000 0.0000 100.0000<br />

Barga<strong>in</strong> 0.0000 0.0000 100.0000<br />

Credit facility 0.0000 0.0000 100.0000<br />

Discounts & Offers 0.0000 0.0000 100.0000<br />

Demand for new<br />

products<br />

0.0000 0.0000 100.0000<br />

Repayment 0.0000 0.0000 100.0000<br />

Op<strong>in</strong>ion 0.0000 0.0000 100.0000<br />

Tax charges 0.0000 0.0000 100.0000<br />

Laws 0.0000 0.0000 100.0000<br />

Bribes 0.0000 0.0000 100.0000<br />

Procedures 0.0000 0.0000 100.0000<br />

Price variation 0.0000 0.0000 100.0000<br />

Delivery 0.0000 0.0000 100.0000<br />

Market <strong>in</strong>formation 0.0000 0.0000 100.0000


Appendix-IV<br />

Hierarchical cluster analysis for factors <strong>in</strong>fluenc<strong>in</strong>g the consumers to purchase <strong>food</strong> products<br />

<strong>in</strong> <strong>supermarket</strong>s<br />

Dendrogram us<strong>in</strong>g complete L<strong>in</strong>kage


Appendix V. Clusters Classification and Casewise Statistics Based on Discrim<strong>in</strong>ant Analysis<br />

Case<br />

Number<br />

Highest Group<br />

Actual<br />

Group<br />

Predicted<br />

Group<br />

P(D>d |<br />

G=g)<br />

P(G=g<br />

| D=d)<br />

Squared<br />

Mahalanobis<br />

Distance to Centroid<br />

Second<br />

Highest Group<br />

Group P(G=g<br />

| D=d)<br />

Squared<br />

Mahalanobis<br />

Distance to Centroid<br />

Discrim<strong>in</strong>ant Scores<br />

Function<br />

1<br />

Function 2<br />

p df<br />

1 1 1 0.698 2 1 0.718 2 0 364.393 -6.876 8.075<br />

2 1 1 0.532 2 1 1.262 2 0 405.957 -5.611 8.716<br />

3 1 1 0.661 2 1 0.829 2 0 402.488 -7.53 9.32<br />

4 1 1 0.961 2 1 0.079 2 0 386.857 -6.698 8.627<br />

5 2 2 0.595 2 1 1.039 1 0 386.784 -12.403 -9.92<br />

6 2 2 0.47 2 1 1.512 1 0 350.517 -12.786 -8.804<br />

7 3 3 0.662 2 1 0.826 1 0 1545.461 31.133 -1.711<br />

8 2 2 0.802 2 1 0.442 1 0 372.157 -13.39 -9.194<br />

9 2 2 0.926 2 1 0.154 1 0 400.529 -13.809 -9.808<br />

10 3 3 0.913 2 1 0.182 1 0 1611.504 31.885 -2.105<br />

11 2 2 0.913 2 1 0.182 1 0 412.51 -13.372 -10.282<br />

12 1 1 0.358 2 1 2.053 2 0 439.053 -7.345 10.196<br />

13 3 3 0.059 2 1 5.676 1 0 1436.431 29.91 -0.831<br />

14 1 1 0.497 2 1 1.398 2 0 352.049 -7.304 7.881<br />

15 3 3 0.881 2 1 0.255 1 0 1561.813 31.146 -2.412<br />

16 1 1 0.159 2 1 3.679 2 0 459.417 -5.066 9.881<br />

17 2 2 0.104 2 1 4.534 1 0 481.577 -14.764 -11.509<br />

18 2 2 0.917 2 1 0.172 1 0 392.583 -13.006 -9.882<br />

19 2 2 0.637 2 1 0.903 1 0 434.118 -13.461 -10.807<br />

20 3 3 0.409 2 1 1.789 1 0 1646.172 31.818 -3.786<br />

21 1 1 0.711 2 1 0.682 2 0 381.037 -7.529 8.752<br />

22 1 1 0.718 2 1 0.663 2 0 367.674 -7.261 8.301<br />

23 1 1 0.079 2 1 5.072 2 0 376.991 -4.894 7.587<br />

24 2 2 0.436 2 1 1.658 1 0 351.835 -13.519 -8.574<br />

25 2 2 0.962 2 1 0.078 1 0 398.468 -13.692 -9.797<br />

26 1 1 0.529 2 1 1.272 2 0 414.718 -7.568 9.648<br />

27 3 3 0.05 2 1 5.993 1 0 1647.233 31.447 -4.9<br />

28 3 3 0.024 2 1 7.469 1 0 1781.828 34.197 -1.474<br />

29 1 1 0.329 2 1 2.225 2 0 410.263 -8.006 9.66<br />

30 1 1 0.547 2 1 1.205 2 0 421.766 -5.648 9.152


APPENDIX-VI: Proximity Matrix <strong>of</strong> Squared Euclidean Distance for the Clusters Classification<br />

Case 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30<br />

1 73 50 66 129 203 176 157 173 372 203 85 367 230 341 91 202 248 156 395 82 64 85 142 195 72 311 325 69 79<br />

2 73 55 61 110 166 145 124 148 301 160 64 298 199 282 68 171 201 107 338 73 65 64 95 178 67 242 246 58 64<br />

3 50 55 48 113 195 166 129 165 354 195 67 355 214 333 73 200 232 134 389 76 66 65 130 207 66 283 293 65 71<br />

4 66 61 48 101 161 160 97 135 322 165 65 335 204 305 61 164 194 108 355 72 60 47 104 185 54 257 265 61 65<br />

5 129 110 113 101 132 161 122 130 213 108 128 234 229 214 112 125 141 103 242 93 111 122 97 122 105 222 218 90 88<br />

6 203 166 195 161 132 189 142 128 195 82 208 166 305 176 170 115 151 119 176 183 187 190 107 120 183 214 180 168 146<br />

7 176 145 166 160 161 189 133 125 174 149 181 179 268 159 129 120 186 122 185 170 180 185 126 177 164 137 137 167 153<br />

8 157 124 129 97 122 142 133 90 205 132 144 242 263 196 116 125 155 101 234 133 121 116 99 134 111 186 184 120 102<br />

9 173 148 165 135 130 128 125 90 181 104 184 178 279 160 148 107 153 105 186 145 159 174 85 120 151 182 170 156 132<br />

10 372 301 354 322 213 195 174 205 181 129 371 87 388 49 267 132 170 156 57 306 354 361 170 149 328 137 109 311 281<br />

11 203 160 195 165 108 82 149 132 104 129 192 116 281 138 156 83 99 105 108 163 189 194 91 100 171 142 124 160 140<br />

12 85 64 67 65 128 208 181 144 184 371 192 366 205 364 94 203 207 149 406 87 59 54 119 208 61 282 294 62 70<br />

13 367 298 355 335 234 166 179 242 178 87 116 366 419 92 298 127 171 195 62 309 349 370 171 152 331 144 108 324 296<br />

14 230 199 214 204 229 305 268 263 279 388 281 205 419 401 185 262 286 226 429 220 212 205 230 281 202 335 335 209 209<br />

15 341 282 333 305 214 176 159 196 160 49 138 364 92 401 262 129 167 153 74 297 347 354 165 156 315 172 136 304 268<br />

16 91 68 73 61 112 170 129 116 148 267 156 94 298 185 262 141 171 101 304 103 83 76 105 178 79 208 216 84 90<br />

17 202 171 200 164 125 115 120 125 107 132 83 203 127 262 129 141 102 108 121 158 192 191 86 103 168 163 149 165 159<br />

18 248 201 232 194 141 151 186 155 153 170 99 207 171 286 167 171 102 146 161 190 216 209 100 121 184 173 155 183 167<br />

19 156 107 134 108 103 119 122 101 105 156 105 149 195 226 153 101 108 146 195 124 128 119 70 127 112 165 157 121 111<br />

20 395 338 389 355 242 176 185 234 186 57 108 406 62 429 74 304 121 161 195 331 397 400 193 152 363 152 108 356 320<br />

21 82 73 76 72 93 183 170 133 145 306 163 87 309 220 297 103 158 190 124 331 74 77 94 187 72 273 267 63 63<br />

22 64 65 66 60 111 187 180 121 159 354 189 59 349 212 347 83 192 216 128 397 74 43 104 191 52 289 299 59 67<br />

23 85 64 65 47 122 190 185 116 174 361 194 54 370 205 354 76 191 209 119 400 77 43 105 206 35 278 286 58 70<br />

24 142 95 130 104 97 107 126 99 85 170 91 119 171 230 165 105 86 100 70 193 94 104 105 103 94 173 157 93 85<br />

25 195 178 207 185 122 120 177 134 120 149 100 208 152 281 156 178 103 121 127 152 187 191 206 103 187 198 174 176 170<br />

26 72 67 66 54 105 183 164 111 151 328 171 61 331 202 315 79 168 184 112 363 72 52 35 94 187 261 273 51 57<br />

27 311 242 283 257 222 214 137 186 182 137 142 282 144 335 172 208 163 173 165 152 273 289 278 173 198 261 24 270 248<br />

28 325 246 293 265 218 180 137 184 170 109 124 294 108 335 136 216 149 155 157 108 267 299 286 157 174 273 24 270 242<br />

29 69 58 65 61 90 168 167 120 156 311 160 62 324 209 304 84 165 183 121 356 63 59 58 93 176 51 270 270 18<br />

30 79 64 71 65 88 146 153 102 132 281 140 70 296 209 268 90 159 167 111 320 63 67 70 85 170 57 248 242 18


FOOD RETAILING IN KARNATAKA - A CASE OF<br />

SUPERMARKETS<br />

RAMAPPA, K. B 2007 DR. H. S. S. KHAN<br />

Major Advisor<br />

ABSTRACT<br />

Globally, <strong>retail<strong>in</strong>g</strong> is a big bus<strong>in</strong>ess. It is one <strong>of</strong> the largest <strong>in</strong>dustries <strong>in</strong> India and<br />

second largest employer after agriculture. The share <strong>of</strong> organized retail is more <strong>in</strong> developed<br />

countries but bulk <strong>of</strong> this bus<strong>in</strong>ess is unorganized (97%) <strong>in</strong> India. In recent times, retail sector<br />

has been grow<strong>in</strong>g rapidly with the multitude <strong>of</strong> factors viz., <strong>in</strong>creas<strong>in</strong>g sophistication,<br />

modernization <strong>of</strong> the life-style <strong>of</strong> households and <strong>in</strong>creas<strong>in</strong>g globalization <strong>of</strong> trade. Hence, an<br />

effort was made <strong>in</strong> the state to study the entire bus<strong>in</strong>ess aspects <strong>of</strong> organized <strong>food</strong> <strong>retail<strong>in</strong>g</strong><br />

particularly <strong>in</strong> <strong>supermarket</strong>s us<strong>in</strong>g both primary and secondary data collected from various<br />

sources.<br />

The study found that majority <strong>of</strong> the organized <strong>supermarket</strong>s exist<strong>in</strong>g and operat<strong>in</strong>g<br />

only <strong>in</strong> big cities with multi outlets operat<strong>in</strong>g under the s<strong>in</strong>gle management and accounts for<br />

huge costs and turnover.<br />

The centralized purchas<strong>in</strong>g pattern was followed <strong>in</strong> most <strong>of</strong> the organized<br />

<strong>supermarket</strong>s whereas store level purchas<strong>in</strong>g was noticed <strong>in</strong> un-organized <strong>retail<strong>in</strong>g</strong>. The<br />

purchase frequency was found to be more <strong>in</strong> fruits and vegetables but the cost/qu<strong>in</strong>tal was<br />

highest <strong>in</strong> chilli and least <strong>in</strong> rice. The quantity procured and their unit costs were found high <strong>in</strong><br />

Bangalore alone due to higher average size <strong>of</strong> the <strong>supermarket</strong>s and turnover. Short-time<br />

period <strong>in</strong>ventories were observed <strong>in</strong> all <strong>supermarket</strong>s.<br />

Higher percent <strong>of</strong> value addition was noticed <strong>in</strong> mustard (27.68%) among groceries,<br />

and tomato (49.21%) <strong>in</strong> fruits and vegetables. At an overall, all <strong>supermarket</strong>s <strong>in</strong> the state<br />

followed absorption cost pric<strong>in</strong>g and market pric<strong>in</strong>g methods by attach<strong>in</strong>g significance<br />

importance to the quality and nature <strong>of</strong> products.<br />

Non-availability <strong>of</strong> tra<strong>in</strong>ed employees and demand for credit and barga<strong>in</strong>s from the<br />

customers were the key problems among different variables considered. F<strong>in</strong>ally, the primefactors<br />

<strong>in</strong>fluenc<strong>in</strong>g consumers to go for purchase at <strong>supermarket</strong>s were grouped <strong>in</strong> three<br />

clusters such as accessibility and product oriented, <strong>in</strong>fluenc<strong>in</strong>g, and product promotion<br />

factors.

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