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SAJMMR Volume 2, Issue 12 (December, 2012) ISSN 2249-877X
South Asian Academic Research Journals http://www.saarj.com
138
Published by: South As ian Academic Research Journals
SAJMMR:
S o u t h A s i a n J o u r n a l o f
M a r k e t i n g & M a n a g e m e n t
R e s e a r c h
FACTORS INFLUENCING SHOPPING EXPERIENCE IN ORGANIZED
RETAILING: AN EMPIRICAL INVESTIGATION
ADIL ZIA*; ASIF AKHTAR**; MOHAMMAD KHALID AZAM***
*Research Scholar,
Department of Business Administration,
FMSR, Aligarh Muslim University, Aligarh.
**Assistant Professor,
Department of Business Administration,
FMSR, Aligarh Muslim University, Aligarh.
***Professor,
Department of Business Administration,
FMSR, Aligarh Muslim University, Aligarh.
ABSTRACT
The concept of shopping is one of the oldest activities that the human race has been
performing with high level of regularity and involvement. Over the years, retail
shoppers’ orientation towards this routine activity has been changing with the
inception of organized retail. The innovations brought by retailers and marketers in
the practice of retailing have been providing new paradigms for shopping. This has
also led to a body of knowledge that aims to understand orientation of organized
retail shoppers towards shopping.
Organized retailing refers to trading activities undertaken by licensed retailers, that
is, those who are registered for sales tax, income tax, etc. These include the
corporate-backed hypermarkets and retail chains, and also the privately owned
large and small retail businesses. According to AT Kearney report for the year 2011,
Organized retail accounts for 7 per cent of India's roughly US$ 435 billion retail
market and is expected to reach 20 per cent by 2020.
This paper is an attempt to explore the factors of Shopping Experience and to
measures the impact of these factors in the context of organized retail. Hypothesized
model was developed based on literature survey and refined using exploratory and
confirmatory factor analysis. Reliability and validity of scale was checked using
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chronbach alpha. Impact was measured using multiple regression method. This
study is primary data based and the sample of 355 retail consumers was taken.
KEYWORDS: Indian Retail, Un-organized retail, Shopping Experience.
_____________________________________________________________________________
INTRODUCTION
Organized retailing refers to trading activities which have departmentalization on activities.
Further these activities are undertaken by licensed retailers, that is, those who are registered for
sales tax, income tax, etc. These include the corporate-backed hypermarkets and retail chains,
and also the privately owned large and small retail businesses. According to AT Kearney report
for the year 2011, Organized retail accounts for 7 per cent of India's roughly US$ 435 billion
retail market and is expected to reach 20 per cent by 2020. Food accounts for 70 per cent of
Indian retail, but it remains under-penetrated by organized retail. Organized retail has a 31 per
cent share in clothing and apparel and continues to see growth in this sector. The home segment
shows promise, growing 20 to 30 per cent per year. India's more urban consumer mindset means
this sector is poised for growth.
In organized retail there is growing competition with the growth of more national and
international players into this sector. Looking into the profitability of this sector recently Sahara
group also ventured with anew range of FMCG products with Q-Value stores. Looking the
importance of retail sector, investigating factors responsible for shopping experience is of
immense importance for the organizations. This is because all organizations want to improve
factors of shopping experience and to face competition by giving best shopping experience to
more and more customers.
LITERATURE REVIEW
Literature review is a body of text that aims to review the critical points of current knowledge
including substantive findings as well as theoretical and methodological contributions to a
particular subject of discussion. Literature review stars with the theoretical definitions of
shopping experience followed by a brief description of researches in organized retail shopping
experience. For the present study while review of literature a gap was identified and objectives
were framed to fulfill that gap.
SHOPPING EXPERIENCE
Shopping is considered as an enjoyable and rewarding experience by hedonic consumers
(Holbrook and Lehmann, 1981; Arnold and Reynolds, 2003) and therefore they perceive lower
time and effort costs than the consumers who view shopping as unpleasant. Shopping has been
referred to as a fun, pleasurable activity that leads to feelings of „joy‟ (Jin and Sternquist, 2004).
Verma and Gupta (2005) studied the impact of store image on the perception of the product
quality and found that in a retail setup store image may or may not have significant contribution
in the product quality perception but the proximity of the store is very important factor for the
product purchase and repeated purchase.
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A strong store image has been shown to result in higher levels of pleasant feelings in customers,
and reflects their enjoyment of spending time in the area, moreover teenagers also preferred
going to a shopping mall whose atmosphere is friendly and made them feel welcomed. They
wanted a mall which provided cool stores, entertainment options, attractive designing and a good
place to spend time with friends, on the whole a good shopping experience (Bell, 1999).
Shopping enjoyment refers to a customer‟s positive affect toward shopping for items in specific
product or service categories, such as apparel or travel services (Seiders, et al, 2007).
The prime advantage of an experience product is the experience that the shopper goes through by
purchasing that product or service. Consumers derive value from purchasing these goods or
services because of their unique qualities and are ready to pay a little extra for them. Mall
developers have also tried to cope up in the experience economy by providing the consumers
with good store ambience as well as entertaining and amusing experiences apart from shopping.
They have added movie theatres or keep organizing live performances for the consumers in
which they can get engaged and enjoy their experience while shopping in the mall. An example
is the various entertainment activities, like theme park and an ice skating rink along with a huge
variety of stores that are provided in the Mall of America (Sinha & Banerjee, 2004).
Mittal and Parashar (2011) explained that irrespective of area, people prefer grocery stores to be
nearby, product assortment is important for grocery. Ghosh & Srivastava (2010) service quality
has become vital for service firms to pay attention due to increased competition.
Sivaraman (2010) analyzed customer attitude towards unorganized and organized retailers which
shows that there were a perceived difference between organized retailers and unorganized
retailers on the attributes of store image, range of products, brand choices, price, store ambience,
credit availability, shop proximity and complements. However there were no perceived
difference on product freshness and customer care. This study clearly point out that the
unorganized retailers are facing stiff competition from the organized retailers. This has reduced
their sales, profit, and employment considerably. The operational cost, consumer credit also
increased due to the presence of organized retailers.
Kumar (2011) did a study on the strategies of unorganized retailers with reference to consumer
durables and found that a product strategy which means merchandise is the most important factor
followed by price, distribution and promotion. Kushwaha (2011) compared the perception of
consumers in organized and unorganized retail market and found that factors like cleanliness,
distance, price, quality, safety and space for shopping are the determinant factors for unorganized
retail.
On the basis of literature review it may be concluded that many researchers have tried to
elucidate the concept and determinants of shopping experience in their own way. Some
researchers have tried to study it in the context of organized retail while some have tried to study
in unorganized retail perspective. Further the researcher has tried to sum up these factors for
shopping experience into three main factors which have nine items. These three factors are
Execution related excellence, Expediting and Problem recovery. The items determining these
factors are expediting, problem recovery and execution related excellence. The nine factors
derived for the study are shopping convenience, physical aspect, personal attention,
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courteousness, enjoyment, shopping time, store service quality, complain handling and returns &
exchange.
OBJECTIVES
1. To explore the factors responsible for shopping experience in the context of organized retail.
2. To investigate the impact of factors of shopping experience for organized retail setup.
METHODOLOGY
Population was defined as active retail shoppers. The sample consisted of 355 retail shoppers.
A little over half of the respondents (53%) were male. Respondents were mostly between the
ages of 22 to 50 (72%). Sixty-five per cent of the respondents were married. Almost seventy per
cent of the respondents had at least higher secondary education. Personal interviews were
conducted immediately after the completion of the shopping. Retail shoppers were selected for
analysis because they offer a mix of merchandise and service while individual retail shops were
identified on convenience-sampling basis. In all, 32 retail stores were selected from Delhi and
national capital region. The retail stores varied in their size from small to big stores and were
selected across stores setups such as food, clothing, consumer durables, books, music, etc.
Shoppers were interviewed while they finished shopping or outside the stores. The instrument
used was questionnaire with 17 questions which employed a 5-point Likert scale (5-strongly
agree, 1-strongly disagree).
MODEL DEVELOPMENT
Extensive literature survey egged various models and theories explaining relationships among
several factors responsible for shopping experience. After hypothesized model have been
developed (Figure 1), overall reliability and validity was checked. After getting the model
reliable and valid, exploratory factor analysis and then confirmatory factor analysis was
performed. The hypothesized model for shopping experience consists of three independent
variables and one dependent variable; these three dimensions are measured by nine elements as
mentioned in Table 1.
TABLE: 1- SHOPPING EXPERIENCE
S.No Factors Elements
1 Execution related Excellence
Shopping convenience
Physical aspect
Personal attention
courteousness
Enjoyment
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2 Expediting Shopping Time
Store Service Quality
3 Problem Recovery Complain Handling
Returns and Exchange
The conceptual model in Figure 1 shows the direct relationship of three independent factors
namely Execution related excellence, Expediting and Problem recovery with Shopping
experience.
FIGURE 1 CONCEPTUAL MODEL
FIGURE 1 DEVELOPED BY RESEARCHER
The first factor execution related excellence means patient explanation and advice, checking
stock, helping find products, having product knowledge and providing unexpected product
quality. Execution Related Excellence is a term given to the Shopping convenience, Physical
aspects of the store, Personal Attention given by the staff, Courteousness of staff and to the
feeling of enjoyment experienced by the consumers in the store. Second factor is Expediting that
is being sensitive to customers‟ time and long check-out lines, and being proactive in helping
speed up the shopping process and the third factor Problem Recovery which means helping
resolve and compensate for problems, upgrading quality and ensuring complete shopper
satisfaction.
Execution
Related Excellence
Expediting
Problem
Recovery
Shopping
Experience
Factors for Shopping Experience in Organized Retail
F1
F2
F3
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RELIABILITY AND VALIDITY OF SCALE
The trustworthiness and stability of an instrument is determined by its reliability. Reliability
refers to the degree of dependability and stability of a scale. It reflects the scales ability to
consistently yield the same responses.
The reliability of the construct is determined by computing the alpha coefficient of internal
consistency (Chronbach, 1951). Chronbach‟s coefficient alpha value of 0.6 is considered
acceptable for the exploratory purposes, 0.7 is considered adequate, and 0.8 good for
confirmatory purposes. It is also worth mentioning here that an alpha coefficient of 0.6 and
above is considered to be good for research in social sciences. The reliability estimates based on
the actual data collected is shown as under.
The overall chronbach alpha value obtained is 0.894 which shows high reliability of the scale
(Table 2). Since the value is well above 0.7 it is valid to use this scale. The individual alpha
values were above 0.7 except for D6 which is frequent buyer program. As overall chronbach
alpha value is under the acceptable limits so the scale is adapted for further analysis.
TABLE 2: OVERALL CRONBACH’S ALPHA VALUE = 0.910
Factor No. Factors Cronbach’s alphas value
F1 Execution Related Excellence 0.794
F2 Expediting 0.804
F3 Problem Recovery 0.868
F4 Overall Shopping Experience 0.711
EXPLORATORY FACTOR ANALYSIS (EFA)
In order to develop structure of shopping experience for unorganized retail consumers, an
exploratory factor analysis on all 17 items was performed. This was performed for the factor
structure using the principal components factoring method and varimax rotation with Kaiser
Normalization. The results of the factor analysis indicates that the 17 items obtained gives a
three factor structure (Table 3). Also, the factors did not load according to the factor structure
given by Dabholkar (1996). Other rotation methods such as Equamax rotation with Kaiser
Normalization also failed to improve the factors loading and factor structure.
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TABLE 3: EXPLORATORY FACTOR ANALYSIS
Items of
Questionnaire
Factors
Mean Std. Deviation
1 2 3 4
S1 .728 2.9014 .97069
S2 .463 2.7268 .99220
S3 .753 2.8282 1.15289
S4 .869 2.6310 .97520
S5 .648 3.2141 1.39989
S6 .730 3.1662 1.34794
S7 .411 3.0197 1.30931
S8 .471 3.3634 1.48260
S9 .714 3.6197 1.47068
S10 .832 3.8141 1.29725
S11 .491 3.3690 1.14074
S12 .659 3.1324 1.14336
S13 .712 2.8254 .95250
S14 .799 3.1944 1.04366
S15 .507 3.1437 1.42384
S16 .471 3.6620 1.49144
S17 .613 3.0592 1.38776
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CONFIRMATORY FACTOR ANALYSIS (CFA)
A confirmatory factor analysis (CFA) was used on the factors- F1, F2, F3 and F4 to investigate
model fitness. This methodology was suggested by Gerbing and Anderson (1988) to assess the
measurement model As shown in Table 4 the overall model fit indices show that all fit indices
measures are within acceptable levels. Hair et al. (1998) suggested that all standardized factor
loadings should reach a significance level of over 0.6. The results of the analysis show that all
standardized factor loadings are over 0.6 and significant at p = 0.01 level.
FIGURE 2
.28
F1
s17
1.40
7
1.00
1
s15
1.28
6
1.77
1
s14
1.11
5
1.971
s13
1.02
41.571
s6
.75
3 1.031
s5
.96
2.54
1
s2
1.13
1
1.31
1
.14
F2
s38
.91
11
1.00
1
s12
.90
10
2.581
s10
.75
9 1.201
s9
1.06
81.39
1
.87
F3
s37
1.04
14
1.001
s23
1.37
13.991
s11
1.07
12 1.011
.21
F4
s36
.95
17
1.001
s27
1.57
161.511
s22
.62
15 2.561
.18
.31
.31
.43
.21
.12
CFA for Shopping Experience in Organized Retail
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The scale developed is called “Retail Shopping Experience Scale” (RSES) as it measures the
shopping experience of organized retail consumers. The model fit measures are shown in Table
4. Two fit measures namely RMSEA (rout mean square error estimate) and Chi-square/df are
known as the badness of nit indices, these indices measure the badness of the model developed
(see Figure 2 and Table 4). The other measure are CMIN/DF, GFI (goodness of fit index), AGFI
(adjusted goodness of fit index), and CFI (comparative fit index) are called the goodness of fit
indices. These indices measure the goodness of fit of default model achieved by CFA. The Table
4 shows that all the indices are within the acceptable limits.
With overall model accepted, each of the dimensions was evaluated separately for construct
reliability (CR) and variance extracted. Hair et al. (1998) suggested that construct reliability
should be over 0.7, and the construct‟s average variance extracted (AVE) should be over 0.5.
The observed values in the present study are shown in Table 7. It shows that the CR ranges from
0.701 to 0.812, the constructs‟ average variance extracted (AVE) ranges from 0.541 to 0.622,
and the constructs‟ AVE of each latent variable is over 0.5, which represents sufficient
convergent validity (Hair et al., 1998).
TABLE: 4 MODEL FIT INDICES
S.No. Parameters Recommended
Value
Observed
Value
1 CMIN/DF 2.5- 4.5 3.941
2 GFI >=0.90 0.871
3 AGFI <0.937 0.816
4 CFI >0.90 0.917
5 RMSEA <0.08 0.074
6 Chi-square/df <5.0 3.192
Source: Hair et al. (2006), Arbuckle (2003), Byrne (2001) and Kline (1998)
TABLE: 5
S.No FACTORS CR AVE Cronbach’s Alpha
F1 Execution Related Excellence 0.701 0.557 0.794
F2 Expediting 0.812 0.541 0.804
F3 Problem Recovery 0.714 0.622 0.868
F4 Shopping Experience 0.731 0.630 0.711
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MULTIPLE REGRESSION
In order to access the impact of independent variables on shopping experience as dependent
variable, enter method of multiple regression has been applied.
Model Summary (Table 5) shows the value of R as 0.780, R2
as 0.608 and adjusted R2
as 0.604
which indicates that this regression model is capable to explain 60.8% of variation of dependent
variable due to independent variables rest 39.2% is unexplained. This is unexplained because it
may depend upon other factors like consumer loyalty.
TABLE 6: MODEL SUMMARY
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .780 .608 .604 .62536
TABLE 7 COEFFICIENTS
Model
Unstandardized
Coefficients
Standardized
Coefficients t Sig.
B Std. Error Beta
1
(Constant) -.258 .161 -1.598 .111
Execution related
excellence .834 .061 .677 13.672 .000
Problem recovery .271 .064 .188 4.204 .000
Expediting -.041 .041 -.046 -1.000 .318
a. Dependent Variable: Shopping Experience
Table 6 shows the standardized regression coefficients, which tells us the strength of impact and
its direction (positive/ negative). It also comprises of T and significant values to validate the
hypothesis framed to measure the sig. impact of dimensions of shopping experience on overall
shopping experience.
The regression equation is SE=ax1+bx2+cx3+C
SE = Shopping Experience, a, b, c are the β values.
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x1= Execution related excellence x2= Problem Recovery, x3= Expediting and C = Constant.
The value of a = 0.677, b = 0.188, c = -0.046 and C= 0.258
After replacing the values final regression equation will be
SE = 0.677 x1+0.188x2+0.046x3+0.258
FINDINGS
From the Table 6 it is observed that two factors namely Execution related excellence and
Problem recovery have positive and significant impact where as one factor which is Expediting
have negative but insignificant impact on shopping experience under organized retail.
“Execution related excellence” has highest impact on shopping experience among all factors
with β=0.677, this impact is highly significant as significant value is 0.000. This is probably
because consumers pay maximum importance to the items covered under this factor. The items
covered under this factor are shopping convenience, physical aspect, personal attention,
courteousness and enjoyment etc. In the context of organized retail environment all these items
covered under this factor are of vital importance as these are the consumers‟ expectations.
Study reveals that consumers find pleasure in visiting a store or shopping center. This finding is
consistent with the observation of Lehoten and Maenpaa (1997). Pleasure found in shopping was
first connected with tourism, the idea of the leisurely spending of time, of going „somewhere
else‟, away from the spheres of home and work, in order to be freed from duties and in order to
enjoy oneself. Thus, despite consumers‟ supposed desire to „„nest‟‟ or „„cocoon‟‟ in their homes,
shopping by catalog, phone or computer, brick-and-mortar shopping still offers a unique appeal
to many consumers and the opportunity to get out of the house and experience a change of scene.
“Expediting” has the least impact on shopping experience among all three dimensions with
β=0.046, this impact is insignificant as significant value is 0.318. This is probably because
consumers by default expect a better and quick shopping time, store service quality from
organized retailers.
MANAGERIAL IMPLICATIONS
The results of study provide managers‟ information about the factors responsible for the
shopping experience in organized retail environment. The chronology of importance as shown in
Table 8 shows that retailers should pay maximum importance to Executional related excellence
which is a constituent of shopping convenience, physical aspect, personal attention,
courteousness and enjoyment. The Table 8 shows factors in order of their impact on shopping
experience in organized retail setup. Retailers should pay attention according to their chronology
of impact.
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TABLE 8
S.No Factors β-Value
1 Executional related excellence 0.677
2 Problem recovery 0.188
3 Expediting 0.046
CONCLUSION
This paper is an attempt to identify the key factors influencing the customers of unorganized
retail setup. With the help of these factors a structured scale comprising of 17 items has been
developed and properly validated by applying EFA and CFA. Thus the study has the important
implications for target marketing, product positioning, market penetration and market expansion
for unorganized retail market in India.
LIMITATIONS
Although the results can be considered statistically significant, still the study has several
limitations that affect the reliability and validity of the findings. First of all, the sample selected
was small and limited to Delhi and national capital region which might limits the generalization
of results, the researchers believe that it represents a necessary and economical first step in
identifying relevant organized shopping experience dimension that can later be tested in larger,
more representative samples in Indian context. The second limitation concerns the sampling.
Convenient sampling procedure was employed to collect data from organized retail consumers
this may restrict the generalization.
Moreover the impact of other factors like consumer loyalty on shopping experience have not
been taken into consideration which might have significant impact which might have diminished
the impact of factors taken into consideration. The other limitation of this work concerns the
limited geographic extent of the study necessitates that findings be viewed with caution.
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