30.12.2014 Views

See Full Article [pdf] - prime journals limited

See Full Article [pdf] - prime journals limited

See Full Article [pdf] - prime journals limited

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Prime Research on Education (PRE)<br />

ISSN: 2251-1253. Vol. 2(10), pp. 365-372, November 29 th , 2012<br />

www.<strong>prime</strong>journal.org/PRE<br />

© Prime Journals<br />

<strong>Full</strong> Length Research<br />

Investigation of the customers’ expectations from<br />

service quality of the chain stores in Iran<br />

1 Aliakbar Aminbeidohkti, 2 Mehdi Abbasian and 2 Ghader Esfandiari<br />

1 Associate professor at Semnan University, Iran. Email:aliaminbeidokhti@yahoo.com<br />

Tel: +98 912 122 1965<br />

2 Marketing Specialization, DoS in Economics and Management, University of Semnan, Semnan, Iran.<br />

Accepted 12 th November, 2012<br />

Present research investigates the service quality of the chain stores in Semnan city, utilizing the SERVQUAL<br />

Model. The method used in this research is of descriptive one, for which the data were collected both from<br />

previous work in literature as well as field data. Research population is all customers of the chain stores in<br />

Semnan city, out of which 391 were sampled, using the simple probability sampling method. The results of the<br />

information collection and analysis regarding five dimensions of service quality in SERVQUAL model including<br />

reliability, responsiveness, assurance, empathy and tangibles show that in none of these five dimensions,<br />

chain stores could reach the customers’ expectations or exceed them; the perceived quality is always less than<br />

the expected quality. Moreover, the most important of these dimensions has been found to be reliability, after<br />

which the empathy, assurance, responsiveness, and tangibles are the next.<br />

Key Words: Service Quality, SERVQUAL Model, Customers, Chain Stores, Semnan City.<br />

INTRODUCTION<br />

Nowadays, in most developed countries, service is<br />

receiving more and more attention and a considerable<br />

part of such countries economy is related to service<br />

sector (Buyukozkan, at al., 2011). The development of<br />

other sectors will not be possible without the<br />

development of service sector in country economy<br />

(Buyukozkan, at al., 2011). On the other hand fierce<br />

competition among companies and organizations has<br />

made the organizations to excel their competitors with<br />

satisfying their customer expectations through better<br />

service offering. Service quality is an approach through<br />

which business try to have satisfied customers and it also<br />

leads to competition and efficiency in different industries<br />

(Rahman , et al., 2011). Companies have understood that<br />

the organization with similar product and service will be<br />

able to overtake their competitors and create competitive<br />

advantage only by means of service quality (Buyukozkan,<br />

et al., 2011). Taking the above discussion in to account,<br />

the present research try to investigate the customer<br />

expectations from Iranian chain stores service quality.<br />

In chain stores, customers play a vital role and there<br />

will be no store without them. Therefore the most<br />

important capital of the stores is their customers. The<br />

final goal of human resource planning in stores is based<br />

upon the link between customers and employees. A store<br />

which holds customer satisfaction as its leading objective<br />

puts a lot of energy and concern into its quantitative and<br />

qualitative duties in relation to customers and serving the<br />

customers means offering attractive and high-quality and<br />

also accessible service to them. Therefore if a store is<br />

trying to have a larger share in the market, excel the<br />

competitors, create interest, commitment and loyalty in<br />

customers and finally obtain greater benefits must be<br />

able to understand the customers' needs and


Aminbeidohkti et al., 366<br />

expectations through marketing research techniques and<br />

create satisfaction in customers via high quality service.<br />

Such a company must identify the factors creating higher<br />

satisfaction in customers through customer satisfaction<br />

study and try to improve it continuously by means of<br />

appropriate solutions. The main problem from the<br />

researchers’ point of view is that there exists a difference<br />

between customer expectations from stores and stores<br />

performance and this gap will have direct impact on<br />

customers’ satisfaction. Therefore the researchers intend<br />

to evaluate the customers' expectations from stores and<br />

investigate the effective positive and negative factors<br />

influencing their satisfaction. Hence one of the main<br />

characteristics of quality management is continuous<br />

improving of activities, the current research results will be<br />

an aid to this factor and will be a suitable basis for chain<br />

stores managers' decision-making. Therefore the<br />

researchers hope to take an effective step in increasing<br />

customers satisfaction of chain stores and customerorientedness<br />

become institutionalized in Iranian society.<br />

In this paper, we review the literature of service quality<br />

and use the scale of service quality by parasuraman, et<br />

al., (1988) for measure the gap of service quality in Iran.<br />

This research helps to many managers to identify the gap<br />

of service quality the basis of its dimensions in purchase<br />

and they can improve service quality in their chain store<br />

and cause satisfied and loyalty by their customers.<br />

This paper encompasses five sectors. In sector 2 we<br />

review the literature of service quality and its dimensions,<br />

Sector 3 relevant to data collection, sector 4 relevant to<br />

analysis data and in sector 5 we get conclusion, limitation<br />

and guides for future researches.<br />

LITERATURE REVIEW<br />

A lot of researches have been conducted on service<br />

quality up to now (Ladhari et al., 2009). Past researches<br />

show that employees have an important role in<br />

customers' perception of service quality (Bebko and<br />

Sciulli, 2009; Heskett et al., 1994; Mattson, 1994;<br />

Tansuhajm et al., 1988). Servqual have been applied in<br />

many organizations up to now, such as banks, chain<br />

stores, libraries, restaurants, etc. (Ladhari, 2009). Table 1<br />

lists the different kinds of studies and researches<br />

conducted in the field of service quality (Ladhari, 2009).<br />

Service quality is intangible and therefore it is hard to<br />

measure and scale it (Lovelock, 1989 & khan, 2003). In<br />

addition to this intangibility, service providers have no<br />

idea about how the customers will perceive the service<br />

received (Parasuraman, 1985).<br />

Service range is heterogeneous and varies from day to<br />

day, place to place, product to product and customer to<br />

customer (parasuraman, 1985 and Markovic, 2006).<br />

Service is mortal because it cannot be saved or used<br />

someday later (Ladhari, 2009).<br />

Gronros (1987) defines perceived quality as follows: If<br />

perceived service is compared with expected service,<br />

perceived quality of service will be obtained. From<br />

Parasuraman's point of view, service quality is the gap<br />

between customer expectations and their perceptions of<br />

real performance of quality (Parasuraman et al., 1987).<br />

On the basis of Parasuraman et al viewpoint, customers'<br />

perceptions of service quality will be affected by 5 gaps.<br />

Figure 1 shows these gaps:<br />

- The difference between management perception of<br />

what customer expects and real expectation of customer.<br />

- The difference between management perception and<br />

service quality characteristics (service quality standards).<br />

- The difference between service quality characteristics<br />

and actual service offering: whether the standards have<br />

been observed continuously or not<br />

- The difference between service quality offering and<br />

what is expected out of the organization: whether the<br />

commitments have been fulfilled or not<br />

- The difference between what customers expect from a<br />

service and what they actually receive (Ladhari, 2009)<br />

The fifth gap is affected by the first 4 gaps. SQ scale is<br />

based upon the fifth gap. (Ladhari, 2009 and<br />

Parasuraman et al., 1985) considered 10 dimensions as<br />

the main characteristics of service quality at the first time.<br />

These dimensions are: 1) tangibles, 2) reliability, 3)<br />

responsiveness, 4) communication, 5) credibility, 6)<br />

security, 7) competence, 8) courtesy, 9) understanding /<br />

knowing customers, and 10) access.<br />

Then day reduced the 10 dimensions to 5 dimensions<br />

due to the overlap existing between them. The five<br />

dimensions are as follows:<br />

- Tangibles (measured by four items): the appearance of<br />

physical facilities, Equipment, and personnel;<br />

- Reliability (five items): the ability to perform the<br />

promised service dependably and accurately;<br />

- Responsiveness (four items): the willingness to help<br />

customers and provide prompt service;<br />

- Assurance (four items): the knowledge and courtesy of<br />

employees and their ability to inspire trust and<br />

confidence; and<br />

- Empathy (five items): the level of caring and<br />

individualized attention the firm provides to its customers.<br />

These five dimensions are questioned with a 22-question<br />

scale in two states. In the first state the customers<br />

comment on their expectations from a service and in the<br />

second state they express their perceptions of received<br />

service (Parasuraman et al., 1988). In the present study,<br />

Prasuraman's service quality model has been used to<br />

measure the service quality of Iranian chain stores.<br />

RESEARCH METHODOLOGY<br />

The present research is a functional research, because<br />

the chractristics of the functional research resides on the<br />

title »<strong>See</strong>king the dimensions of customer perceptions<br />

from service quality offered in chain stores in Iran« and is<br />

trying to use the results of the research to improve<br />

service quality. From the data gathering perspective the<br />

current research is a descriptive one which is of survey<br />

type.


367 Prim. Res. Edu.<br />

Table 1: literature of service quality<br />

Study<br />

Carman<br />

(1990)<br />

Parasuraman<br />

et al. (1991)<br />

Cronin and<br />

Taylor (1992)<br />

Gefen (2002)<br />

O’Neill and<br />

Palmer<br />

(2003)<br />

Gounaris<br />

(2005)<br />

Landrum<br />

et al. (2007)<br />

Large and<br />

Konig. (2009)<br />

Sample<br />

characteristics<br />

Customers of a dental<br />

clinic, a business<br />

school placement<br />

center, a hospital, and<br />

a tire store<br />

Customers of<br />

telephone company,<br />

insurance company,<br />

and bank Rang<br />

Customers of fast<br />

food<br />

restaurant, banking,<br />

pest control, and dry<br />

cleaning<br />

Students who had<br />

previously bought at<br />

Amazon.com<br />

Visitors to theme<br />

parks<br />

Companies from<br />

different industries<br />

(B2B services)<br />

Customers of two<br />

army corps of<br />

engineers research<br />

centers<br />

Internal and external<br />

customers of<br />

purchasing<br />

departments<br />

Data analysis<br />

procedure for<br />

assessing factorstructure<br />

Exploratory factor<br />

analysis<br />

Exploratory factor<br />

analysis<br />

Exploratory factor<br />

analysis ;confirmatory<br />

factor analysis<br />

Exploratory factor<br />

Analysis,<br />

Confirmatory factor<br />

analysis<br />

Exploratory factor<br />

analysis<br />

confirmatory factor<br />

analysis<br />

Structural equation<br />

modeling<br />

Exploratory factor<br />

analysis<br />

Final number of dimensions<br />

Between six and nine<br />

dimensions depending on<br />

setting with “reliability”,<br />

“tangibles”, and “security”<br />

appearing in all settings<br />

Five dimensions (six if<br />

“tangibles” is split into two<br />

dimensions)<br />

(1) Five-factor model not<br />

supported; (2) onedimensional<br />

structure supported<br />

Three factor structure:<br />

tangibles, empathy, and a<br />

combination of reliability,<br />

responsiveness and<br />

assurance<br />

Reliability Coefficients<br />

Ranged from 0.51 to 0.84 (tire<br />

store), 0.52 to 0.85 (placement<br />

center), 0.55 to 0.87 (dental<br />

clinic), and 0.61 to 0.94<br />

(hospital)<br />

Ranged from 0.83 to 0.91 (Tel.<br />

Co.), 0.80 to 0.92 (Ins Co. 1),<br />

0.84 to 0.93 (Ins Co. 2), 0.85 to<br />

0.92 (Bank 1), and 0.86 to 0.88<br />

(Bank 2)<br />

SERVQUAL: mean of 0.89<br />

(banks), 0.90 (pest control),<br />

0.90 (dry cleaning), and 0.85<br />

(fast food)<br />

SERVPERF: mean of 0.93<br />

(banks), 0.96 (pest control),<br />

0.93 (dry cleaning), and 0.88<br />

(fastfood).<br />

Ranged from 0.93 to<br />

0.99<br />

Four dimensions Ranged from 0.22 to 0.87<br />

Five factors, two factors and a<br />

single factor structure were<br />

examined. Only two factor<br />

model fit was acceptable<br />

Two dimensions: behavioral<br />

elements of service delivery<br />

process (including empathy,<br />

assurance, reliability, and<br />

responsiveness), and<br />

tangibles<br />

Structural equation model fit<br />

the data<br />

Four dimensions, empathy,<br />

reliability, responsiveness,<br />

assurance.<br />

Ranged from 0.77 to 0.86 for<br />

the five SERVQUAL<br />

dimensions Ranged from 0.80<br />

to 0.82 for the two factors<br />

model<br />

Ranged from 0.84 to<br />

0.92<br />

For all dimensions larger than<br />

0.7<br />

Luoh and<br />

Tsure.(2011)<br />

Customers of fine<br />

dining restaurants<br />

Exploratory factor<br />

analysis<br />

Five dimensions, empathy,<br />

reliability, responsiveness,<br />

assurance, tangible<br />

For all dimensions above 0.7<br />

Ham et<br />

al.(2012)<br />

Passengers of airline<br />

Exploratory factor<br />

analysis<br />

Four dimensions: atmosphere,<br />

food and beverage service,<br />

employee service, facilities<br />

Ranged from 0.59 to 0.90 for<br />

the four dimensions<br />

Source: Ladhari 2009 and literature review<br />

Statistical population, sample and sampling method<br />

Statistical population in this research is all of the<br />

customers of Semnan chain stores city in Iran. Statistical<br />

population is assumed on <strong>limited</strong> and sample volume is<br />

calculated according to on <strong>limited</strong> Statistical population<br />

sampling formula. On <strong>limited</strong> Statistical population<br />

sampling formula is as follows:


Aminbeidohkti et al., 368<br />

Figure 1: Gaps of SERVQUAL (Source: Parasuraman, et al., 1985)<br />

Z<br />

n <br />

Table 2: Reliability of constructs<br />

Construct<br />

Number<br />

of items<br />

Cronbach's<br />

alpha coefficient<br />

Reliability 5 0.753<br />

Responsiveness 4 0.850<br />

Assurance 4 0.903<br />

Empathy 4 0.978<br />

Tangible 5 0.846<br />

Total 22 0.968<br />

Source: Software output<br />

2<br />

<br />

2<br />

p(1<br />

p)<br />

2<br />

<br />

n :the number of sample volume.<br />

z :normal variable correspondent to certainty level 95٪<br />

p :success ratio estimation of the variable on the study<br />

which is assumed 50٪, In this study variance will be at its<br />

maximum 25٪.<br />

ε :Amount of open error which is 5 ٪,therefore :<br />

2<br />

(1.96) 0.5(1<br />

0.5)<br />

0.96<br />

n <br />

384<br />

2<br />

(0.05) (0.0025)<br />

Sampling method is simple accidental sampling and 500<br />

questionnaire were distributed which 391 questionnaire<br />

from gather questionnaires were acceptable.<br />

Research method used for this study was descriptiveanalytic.<br />

Criteria were extracted and questionnaires were<br />

distributed among 500 customers of Etka & Refah chain<br />

stores. Finally, 391 questionnaires were returned that<br />

yielded a return rate of 78.20 per cent.<br />

Reliability and validity of research tool<br />

Data gathering tool is questionnaire in this research,<br />

which is consisted of two set of 22 questions. In the first<br />

set customers describe their ideal expectations within 22<br />

questions and in the next part customer opinions on<br />

offered service is measured using 22 questions. The<br />

questions are based on 5 point likert scale and design<br />

from one (completely disagree) to 5 ( completely agree).<br />

It should be mentioned that the customer expectations<br />

gathered in the first part have been assigned the number<br />

5 on likert scale and only the present service offered on<br />

the Etka & Refah chain stores have been questioned.<br />

For reliability evaluation Cronbach's alpha was utilized.<br />

The Cronbach's alpha reliability of all the 7 latent<br />

variables were more than 0.7 (α>0.7) as shown in table 2,<br />

which indicated that all scales demonstrated good<br />

reliability.<br />

For evaluating validity of questionnaires, content<br />

validity and construct validity were used. For testing<br />

content validity after devising a framework for<br />

questionnaire, we asked 7 experts to modify it if needed.<br />

These experts evaluated all implemented criteria in<br />

questionnaire and modified it. Then factor analysis was<br />

used for considering the structure of research.<br />

Confirmatory factor analysis was used to investigate<br />

construction of questionnaire.<br />

The results of confirmatory Factor Analysis by using


369 Prim. Res. Edu.<br />

Table 3: Confirmatory factor analysis<br />

Factors and item First-order<br />

Second-order<br />

description<br />

Loading t-value Loading t-value<br />

Reliability .62 10.83<br />

(1) .74 … a<br />

(2) .57 8.98<br />

(3) .55 8.72<br />

(4) .77 11.63<br />

(5) .80 11.64<br />

Responsiveness .84 11.85<br />

(1) .70 … a<br />

(2) .75 12.14<br />

(3) .80 11.64<br />

(4) .79 13.00<br />

Assurance .84 12.97<br />

(1) .79 … a<br />

(2) .75 14.20<br />

(3) .87 16.42<br />

(4) .77 13.45<br />

Empathy .57 10.99<br />

(1) .77 … a<br />

(2) .91 8.68<br />

(3) .59 9.09<br />

(4) .48 6.47<br />

(5) .57 8.24<br />

Tangible .70 9.32<br />

(1) .64 … a<br />

(2) .48 6.67<br />

(3) .57 6.47<br />

(4) .77 8.24<br />

Note: a Fixed parameter.<br />

Source: Author's computation<br />

LISREL 8.50, show good fitness of our model (χ 2 =243.62,<br />

df=104; P-value=0.00000; Goodness of Fit Index<br />

[GFI]=0.92; Adjusted Goodness of Fit Index [AGFI]=0.90;<br />

Root Mean Square Error of Approximation<br />

[RMSEA]=0.066). The results of confirmatory Factor<br />

Analysis have been shown in Table 3.<br />

As it can be seen in table 3, in first level factor analysis<br />

the factor value will be significant if the t- value is greater<br />

than 1.96 and it can be said that it has a positive and<br />

significant relationship with the factors. In addition, in the<br />

second level factor analysis the 5 dimensions measuring<br />

service quality have significant factor value (their t-value<br />

is larger than 1.96). Therefore it can be concluded that<br />

the dimensions assurance, tangibles, empathy, reliability<br />

and responsiveness have positive significant relationship<br />

with service quality. Finally, in light of first level and<br />

second level factor analysis results, factor analysis is<br />

reliable and the dimensions discussed are verified.<br />

RESEARCH RESULTS<br />

<strong>See</strong>k of service quality distribution<br />

One of the preconditions for testing the research<br />

hypothesis and determination of research components<br />

distribution is conducting Kolmogrov-Smirinov. In order to<br />

analyse the hypothesis in the present research we use<br />

per comparison test as long as the dimensions of<br />

SERVQUAL have normal distribution and we use pared<br />

sample t test which is a nonparametric test as long as the<br />

distribution of the dimensions is not normal. The results<br />

of test show that the 5 dimensions of SERVQUAL<br />

measurement have normal distribution. Therefore we<br />

used pared comparison test to test the hypothesis.<br />

Research hypothesis analysis<br />

Pared comparison test is a method used for pretest and<br />

posttest, which we use dependent samples observation.<br />

The test statistic is t and assuming unknown dσ is:<br />

,<br />

We use this test in empirical research and usually to<br />

show the influence of a particular kind of interventions.<br />

We use the following statistical assumption in order to<br />

test the research hypothesis.<br />

Mean difference is equal zero in both situations.<br />

H0: = 0


Aminbeidohkti et al., 370<br />

Table 4. Descriptive statistics (means and standard deviations)<br />

Dimensions Situations Mean<br />

Std. Deviation<br />

Reliability<br />

Responsiveness<br />

Assurance<br />

Empathy<br />

Tangible<br />

service quality<br />

Customer expectations of Reliability 5.0000 .00000<br />

present Situation of Reliability 2.2145 .61885<br />

Customer expectations of Responsiveness 5.0000 .00000<br />

present Situation of Responsiveness 204350 .73160<br />

Customer expectations of Assurance 5.0000 .00000<br />

present Situation of Assurance 2.1635 .56267<br />

Customer expectations of Empathy 5.0000 .00000<br />

present Situation of Empathy 2.8306 .98321<br />

Customer expectations of Tangible 5.0000 .00000<br />

present Situation of Tangible 2.8268 .90573<br />

Customer expectations 5.0000 .00000<br />

present Situation of SQ 2.4941 .47763<br />

Table 5: Paired Samples Tes<br />

Comparison between<br />

customer expectations<br />

and present situation<br />

Mean<br />

Std.<br />

Deviati<br />

on<br />

95% Confidence<br />

Interval of the<br />

Difference<br />

t df Sig.<br />

(2-<br />

tailed)<br />

Result<br />

Lower Upper<br />

Reliability 2.78552 .61885 2.72251 2.84853 86.931 372 .000 Confirm<br />

Responsiveness 2.56501 .73160 2.49053 2.63950 67.712 372 .000 Confirm<br />

Assurance 2.83646 .56267 2.77917 2.89375 97.359 372 .000 Confirm<br />

Empathy 2.16944 .98321 2.06933 2.26954 42.614 372 .000 Confirm<br />

Tangible 2.17319 .90573 2.08097 2.26541 46.340 372 .000 Confirm<br />

service quality 2.50592 .47763 2.45730 2.55455 101.329 372 .000 Confirm<br />

Source: Software output<br />

Mean difference is equal zero in both situations.<br />

H1: ≠ 0<br />

Table 4 shows the results of pared comparison test.<br />

As it has been show in table 6, customer expectations<br />

from dimensions related to SERVQUAL are at maximum<br />

(number 5 according to likert scale). Therefore, all of the<br />

dimensions related to SERVQUAL has a lower mean in<br />

the present situation.<br />

As it shown in table 5, significant level for all<br />

SERVQUAL dimensions are lower than /5 and<br />

considering the fact that the t statistic for all dimensions is<br />

positive, then H 0 for all SERVQUAL is rejected.<br />

Therefore, we can say that the mean difference of<br />

SERVQUAL dimensions between customer expectations<br />

and present situation is different from zero. Hence, it can<br />

be said that there is a significant difference between<br />

customer expectations and present situation on<br />

SERVQUAL dimensions of Etka and Refah chain stores<br />

and subsidiary hypothesis are verify.<br />

For a more detailed analysis the mean difference<br />

between customer expectations and customer situations<br />

of SERVQUAL variable has a significant level less than<br />

5% and the t statistic is positive.<br />

Therefore H 0 is rejected and H 1 is accepted. So it can<br />

be said that the mean difference between customer<br />

expectations and present situations of SERVQUAL<br />

variable is different from zero, in other words, there is a<br />

significant difference between customer expectations and<br />

the present situations of Etka chain stores SERVQUAL<br />

variable. Hence, the research main hypothesis is verified.<br />

In view of the resulted numbers of mean test for each of<br />

the dimensions of the SERVQUAL in two situations i.e.<br />

customer expectations and present situations, the<br />

dimensions related to this variable can be illustrated in<br />

figure 2 for comparison and SERVQUAL gap<br />

identification.<br />

In the present situation, the empathy dimension is in<br />

the better condition with respect to other dimensions, and<br />

after that the tangible dimension is in the better condition<br />

compared with other 4 dimensions. While assurance


371 Prim. Res. Edu.<br />

Tangible<br />

SERVQUAL<br />

Responsivenes<br />

s<br />

Perception<br />

Expectation<br />

who have more contact with customers. Empathy means<br />

the stores pay attention to their customers personally.<br />

Therefore, in spite of the result, management is not so<br />

worried about this variable and had better invest in other<br />

variable. Tangibles refer to all tangible items in offering<br />

service containing face internal and external stores<br />

decoration, customers comfort facilities and so on. Therefore<br />

management can fill this gap even go beyond customer<br />

expectations by little investment.<br />

Reliability<br />

Empathy<br />

Assurance<br />

Figure 2: The present situations of service quality compared with<br />

customer expectations<br />

dimension is the worst condition among all 5 dimensions.<br />

On the other hand figure 2 shows the gap in service<br />

quality in chain stores in iran, so that the greatest gap is<br />

related to assurance dimension.<br />

CONCLUSION<br />

In the present research 500 questionnaires were<br />

distributed among the customers of Etka and Refah chain<br />

stores customers in Semnan city, Where 391<br />

questionnaires (78 per cent) were completed. In the<br />

hypothesis test, there was a significant difference<br />

between customers expectation of chain store service<br />

quality with offered service by these stores. The<br />

management can satisfy customer's expectation and<br />

demands with planning and continues monitoring. It is<br />

clear that those stores can have satisfied and even loyal<br />

customer that at first step satisfies customer's<br />

expectation and even goes beyond their expectation.<br />

Hypothesis test showed that there was a significant<br />

difference between customer expectations and store real<br />

performance in all SERVQUAL dimensions. Considering<br />

research data on customer expectations and perceptions of<br />

reliability variable, it was concluded at the gap between<br />

customer expectations and perceptions of this variable is<br />

higher with respect to other variable. This means these<br />

stores have not fulfilled their promises in most cases.<br />

Therefore the management should invest considerably to fill<br />

this gap.<br />

Responsiveness dimension means the stores and its<br />

employees are quick and efficient in responding to<br />

customers. The stores can invest in personnel education<br />

and servicing process to fill this gap.<br />

Assurance dimension means the employees of<br />

stores be polite, honest and reliable. Therefore these<br />

stores are not well at this factor and should invest more<br />

on improving this factor. These stores can fill this gap by<br />

investing in their personnel knowledge and awareness<br />

and also job time training especially for those employees<br />

RECOMMENDATIONS<br />

Practical program of quality culture strengthening in chain<br />

stores:<br />

The management had better implement a program in<br />

order to strengthen the quality culture in chain stores.<br />

The following actions can be useful.<br />

- Management commitment for implementing and<br />

controlling quality program.<br />

- Formation quality in groups (quality circles) or selfevaluating<br />

groups in stores which determine the<br />

qualitative objectives of related department and<br />

document its advantages. Also, a systematic approach to<br />

implement the quality program is necessary. In this<br />

approach all objectives and necessary function is<br />

scheduled and specified.<br />

Creating information system<br />

It is recommended that these stores create an integrated<br />

information system which receives information from<br />

customers in different time periods and after analysis<br />

gives the results to store employees. Information<br />

gathering and analysis can be periodical regular or in<br />

different time periods. After gathering and exploring the<br />

results are obtained and decision making will be more<br />

certain.<br />

Complaints system<br />

Responsive service organization considers Complaints<br />

as information follow which can be used to improve<br />

service quality and productivity. In chain stores in order to<br />

make the customers complaints a useful research input,<br />

the complaints must be gathered classify and<br />

investigated in a concentrated manner. This involves<br />

having a complaint attraction system from every source.<br />

The most useful complaint recording method is creating a<br />

database to deal with all complaints; therefore chain<br />

stores can use such system to improve their service<br />

quality.<br />

REFERENCE<br />

Bebko C, Sciulli L, (2009). The spillover affect’ of<br />

perceived quality of employees on predictions of<br />

provider service quality. The J. American Academy of<br />

Business 14(2): 1–7.<br />

Brady MK, Cronin JJ, Brand RR (2002). “Performanceonly<br />

measurement of service quality: a replication<br />

and extension”, Journal of Business Research, 55(1):<br />

17-31.


Aminbeidohkti et al., 372<br />

Büyükِzkan G, ifçiا G, Güleryüz S (2011). “Strategic<br />

analysis of healthcare service quality using fuzzy<br />

AHP methodology”, Expert Systems with<br />

Applications. 38: 9407-9424.<br />

Carman JM (1990). “Consumer perceptions of service<br />

quality: an assessment of the SERVQUAL<br />

dimensions”, J. Retailing, 66(1): 33-55.<br />

Cronin JJ, Taylor SA (1992). “Measuring service quality:<br />

a reexamination and extension” ,Journal of<br />

Marketing, 56(3): 55-68.<br />

Dabholkar P, Thorpe DI, Rentz JO (1996). “A measure of<br />

service quality for retail stores: scale development<br />

and validation”, J. the Academy of Marketing<br />

Science, 24(1): 3-16.<br />

Gefen D (2002). “Customer loyalty in e-commerce”,<br />

Journal of the Association for Information Systems, 3:<br />

27-51.<br />

Gounaris S (2005). “Measuring service quality in b2b<br />

services: an evaluation of the SEVQUAL scale vis-avis<br />

the INDSERV scale”, J. Services Marketing,<br />

19(6/7): 421-35.<br />

Gro ¨nroos C (1984). “A service quality model and its<br />

marketing implications”, European J. Marketing,<br />

18(4): 36-44.<br />

Han S, Ham S, Yang L, Beak (2012). “Passengers’<br />

perceptions of airline lounges: Importance of<br />

attributes that determine usage and service quality<br />

measurement”, J. Tourism Management 33: 1103-<br />

1111.<br />

Heskett JL, Jones TO, Loveman GW, Sasser WE,<br />

Schlesinger LA (1994). Putting the service-profit<br />

chain to work. Harvard Business Review 72(2):164–<br />

174.<br />

Khan M (2003). “ECOSERV: Eco tourists’ quality<br />

expectations”, Annals of Tourism Research, 30(1):<br />

109-24.<br />

Ladhari R (2009). A review of twenty years of<br />

SERVQUAL research. Int’l J. Quality and Service<br />

Sciences, 1(2): 172–198.<br />

Large RO, Konig T (2009). A gap model of purchasing’s<br />

internal service quality: Concept, case study and<br />

internal survey. J. Purchasing and Supply<br />

management. 15: 24-32.<br />

Lee H, Lee Y, Yoo D (2000). The determinants of<br />

perceived service quality and its relationship with<br />

satisfaction. J. Service Marketing, 14(3): 217–231.<br />

Lovelock CH (1981). “Why marketing management needs<br />

to be different for service” ,in Donnelly, J. and<br />

George, W. (Eds), Marketing of Services, American<br />

Marketing Association, Chicago, IL, pp. 5-9.<br />

Luoh HF, Tsaure SH (2011). Customers’ perceptions of<br />

service quality: Do servers’ age stereotypes matter<br />

Int’l J. Hospitality Management 30: 283-289.<br />

Markovic S (2006). “Expected service quality<br />

measurement in tourism higher education”,<br />

Nase Gospodarstvo, 52(1/2): 86-95.<br />

Mattson J, (1994). Improving service quality in person-toperson<br />

encounters: inte-grating findings from a multidisciplinary<br />

review. Service Industries J. 14(1): 45–<br />

61.<br />

Parasuraman A, Zeithaml VA Berry LL (1985). “A<br />

conceptual model of service quality and its<br />

implications for future research”, J. Marketing, 49(4):<br />

41-50.<br />

Parasuraman A, Zeithaml VA, Berry LL (1988).<br />

“SERVQUAL: a multiple-item scale for measuring<br />

consumer perceptions of service quality”, J. Retailing,<br />

64(1): 12-40.<br />

Parasuraman A, Zeithaml VA, Berry LL (1994).<br />

“Alternative scales for measuring service quality: a<br />

comparative assessment based on psychometric and<br />

diagnostic criteria”, J. Retailing, 70(3): 201-30.<br />

Tansuhajm P, Randall D, McCullough J (1988). A<br />

services marketing management model: integrating<br />

internal and external marketing functions.The J.<br />

Service Marketing 2(1): 31–38.<br />

Rahaman MM, Abdullah Md Rahman A (2011).<br />

“Measuring Service Quality using SERVQUAL Model:<br />

A Study on PCBs”, Business Management Dynamics.<br />

1(1): 01-11.<br />

Zeithaml VA (1988). “Consumer perceptions of price,<br />

quality, and value: a means-end model and synthesis<br />

of evidence”, J. Marketing, 52: 2-22.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!