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Pan-Pacific Conference XXXIV. Designing New Business Models in Developing Economies

This publication represents the Proceedings of the 34th Annual Pan-Pacific Conference being held in Lima, Peru May 29-31, 2017. The Pan-Pacific Conference has served as an important forum for the exchange of ideas and information for promoting understanding and cooperation among the peoples of the world since 1984. Last year, we had a memorable conference in Miri, Malaysia, in cooperation with Curtin University Sarawak, under the theme of “Building a Smart Society through Innovation and Co-creation.” Professor Pauline Ho served as Chair of the Local Organizing Committee, with strong leadership support of Pro Vice-Chancellor Professor Jim Mienczakowski and Dean Jonathan Winterton.

This publication represents the Proceedings of the 34th Annual Pan-Pacific Conference being held in Lima, Peru May 29-31, 2017. The Pan-Pacific Conference has served as an important forum for the exchange of ideas and information for promoting understanding and cooperation among the peoples of the world since 1984. Last year, we had a memorable conference in Miri, Malaysia, in cooperation with Curtin University Sarawak, under the theme of “Building a Smart Society through Innovation and Co-creation.” Professor Pauline Ho served as Chair of the Local Organizing Committee, with strong leadership support of Pro Vice-Chancellor Professor Jim Mienczakowski and Dean Jonathan Winterton.

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II.<br />

LITERATURE REVIEW<br />

The role of labour <strong>in</strong>tensive bus<strong>in</strong>ess operations on<br />

employment creation cannot be underestimated.<br />

Cooperatives are the types of bus<strong>in</strong>ess that offer<br />

opportunities to large numbers of people, currently<br />

250 million people receive <strong>in</strong>come directly and<br />

<strong>in</strong>directly through cooperative [7]. The success of<br />

cooperatives relies on <strong>in</strong>frastructure and <strong>in</strong> order to<br />

reduce the facilities location problems assistance <strong>in</strong><br />

form of construct<strong>in</strong>g <strong>in</strong>dustrial parks is essential [8].<br />

Certa<strong>in</strong> bus<strong>in</strong>ess types, such as those <strong>in</strong> science and<br />

technology as well as the enterprise focus<strong>in</strong>g on<br />

<strong>in</strong>novation they often attract bus<strong>in</strong>ess <strong>in</strong>cubators.<br />

<strong>Bus<strong>in</strong>ess</strong> <strong>in</strong>cubators are organizations aimed at<br />

provid<strong>in</strong>g <strong>in</strong>frastructure and resources towards<br />

support<strong>in</strong>g small enterprises [9]. On the same<br />

agenda of <strong>in</strong>cubators towards support<strong>in</strong>g SMEs,<br />

there are University l<strong>in</strong>ked <strong>in</strong>cubators. Which also<br />

address the need for <strong>in</strong>frastructure for selected small<br />

bus<strong>in</strong>esses towards the commercialization of their<br />

products and/or services [10]. In addition to<br />

bus<strong>in</strong>ess <strong>in</strong>cubators as alternative bus<strong>in</strong>ess shelter<br />

for operations at start-up, Home Based <strong>Bus<strong>in</strong>ess</strong>es<br />

(HBBs) are also predom<strong>in</strong>ant for smaller enterprises<br />

[11]. Production facility decision mak<strong>in</strong>g methods<br />

<strong>in</strong>clude multiple objective criteria decision mak<strong>in</strong>g<br />

model, PROMETHEE, AHP (Analytical Hierarchy<br />

Process) and FLSP (Facility Location Selection<br />

Process) [12][25]. In consider<strong>in</strong>g such models, an<br />

enterprise with space demand<strong>in</strong>g operations<br />

considers factors such as the rental rates, physical<br />

location, electricity tariffs, labour, build<strong>in</strong>g/facilities<br />

and fund<strong>in</strong>g [13]. Rental rates refer to the cost<br />

payable by the enterprise which accepted the offer<br />

to use a particular space or facilities, small sew<strong>in</strong>g<br />

cooperatives can encounter the problem of<br />

produc<strong>in</strong>g efficiently <strong>in</strong> capacity constra<strong>in</strong>ed<br />

production facilities [14]. The geographical site on<br />

which the enterprise is located plays a key role on a<br />

number of areas such as proximity to markets,<br />

resources and the quality of life <strong>in</strong> the chosen area<br />

of location depend<strong>in</strong>g on the type of production,<br />

benefit and cost analysis. Its impact on the<br />

surround<strong>in</strong>g community on enterprise may select its<br />

product facilities [15]. Small sew<strong>in</strong>g cooperatives,<br />

dependent on an <strong>in</strong>come from school uniform packs,<br />

corporate cloth<strong>in</strong>g and others from local bus<strong>in</strong>ess,<br />

use sew<strong>in</strong>g embroidery, iron<strong>in</strong>g and over lock<strong>in</strong>g<br />

mach<strong>in</strong>es powered by electricity which <strong>in</strong>creases<br />

annually by a certa<strong>in</strong> percentage and this tends to<br />

<strong>in</strong>crease, does also impact on the production output<br />

cost, therefore an arrangement has to be made by<br />

any enterprise on energy utilities with the distributor<br />

<strong>in</strong> their home country [16]. In cooperative, the<br />

members also provide labour, which makes the<br />

labour climate more favorable as there are less<br />

challenges associated with employer-employee<br />

relationship [17]. The physical build<strong>in</strong>g conditions<br />

of a manufacturer are important to keep safe the raw<br />

materials, prevent damage and provide adequate<br />

shelter or a home to operations, employees and<br />

clients, which makes it important to f<strong>in</strong>ance [18].<br />

The above literature expla<strong>in</strong>s the conceptual<br />

framework which follows <strong>in</strong> this section. The role<br />

of production facilities is essential for cont<strong>in</strong>uous<br />

process improvements as the processes of a<br />

manufacturer whether small or large are housed by<br />

production facilities [19]. In the light of crime<br />

directed to small bus<strong>in</strong>esses, proper and safe<br />

bus<strong>in</strong>ess facilities are key to enhance operational<br />

performance [20]. A problem of the lack of<br />

adequate production facilities due to cost of leas<strong>in</strong>g<br />

still has a negative impact on the operational<br />

performance of sew<strong>in</strong>g cooperatives. The research<br />

question of this study is:<br />

Which cost efficient production facility strategies<br />

can enhance operational performance of sew<strong>in</strong>g<br />

cooperatives?<br />

The follow<strong>in</strong>g section is the research methodology<br />

that is the research methodology that was employed<br />

<strong>in</strong> this study, <strong>in</strong> l<strong>in</strong>e with attempt<strong>in</strong>g to answer the<br />

above research question and to reflect the research<br />

objectives of this study.<br />

III. METHODOLOGY<br />

In this paper, we use a quantitative research method<br />

<strong>in</strong> response to the research objective and question as<br />

well as support<strong>in</strong>g the conceptual framework which<br />

was proposed <strong>in</strong> the literature section. A pilot<br />

adm<strong>in</strong>istration of questionnaires was done with 5<br />

accessible funded sew<strong>in</strong>g cooperatives, after<br />

establish<strong>in</strong>g the language barrier, adjustments were<br />

made and language was simplified on the<br />

questionnaire surveys. The questionnaire had a<br />

Likert scale of 1 – 5.This study only focused on<br />

funded sew<strong>in</strong>g cooperatives as provided from the<br />

database of the Department of Social Development.<br />

The production facilities location framework is has<br />

5 <strong>in</strong>dependent variables, operational performance as<br />

a moderat<strong>in</strong>g variable and bus<strong>in</strong>ess performance as<br />

the<br />

Figure: 1 Theoretical-Conceptual Framework<br />

Location<br />

Rental<br />

Rates<br />

Electricity<br />

Costs<br />

Employmen<br />

t<br />

Green<br />

Build<strong>in</strong>gs<br />

Fund<strong>in</strong>g<br />

Operation<br />

al<br />

Performan<br />

ce<br />

<strong>Bus<strong>in</strong>ess</strong><br />

Performanc<br />

e<br />

dependent variable. The <strong>in</strong>dependent variables are<br />

rental rates, electricity tariffs, employment [24],<br />

green build<strong>in</strong>gs and fund<strong>in</strong>g. A total census of 83<br />

funded sew<strong>in</strong>g cooperatives took part <strong>in</strong> this study.<br />

247

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