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Journal of Economics and Sustainable Development                                                     www.iiste.org
ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online)
Vol.3, No.7, 2012


        Customer Satisfaction of Super Stores in Bangladesh- An
                           Explorative Study
                                           1
                                         Mohammad Abul Kashem
                                         Mohammad Shahidul Islam2
E-mail of the corresponding author: mak.mktg@yahoo.com
1. Lecturer, School of Business, University of Information Technology and Sciences (UITS), Bangladesh.
 2. Assistant Professor, School of Business, University of Information Technology and Sciences (UITS),
                                                 Bangladesh
Abstract
The numbers of Super stores are increasing in Bangladesh to satisfy the demand of customers. The present study
has been undertaken in order to identify the influencing factors of customer satisfaction by employing
sophisticated multivariate technique- Varimax Rotated Factor Analytical Technique. The study has collected and
used only primary data and consulted available literature for designing the questionnaire. The study has
identified factors influencing the customer satisfaction of superstores in Bangladesh: Product factors, Store
service factor, and Customer facilities factor. The study has suggested entrepreneurs of Super stores to consider
these factors while designing their policies for superstores.
Keywords: Superstore, Customer Satisfaction, Factor Analysis, Product Factors.

1. Background of the Study

Super Store is a new concept in Bangladesh. The Chain Superstores are now a growing phenomenon in city area.
As the customers are increasingly becoming more aware of the conveniences and their own lifestyles, they are in
many cases preferring to go to a Chain Superstore for their everyday shopping rather than to small departmental
stores around. So, the customer satisfaction is important for growth of this sector. Customer satisfaction is a
simple term stated as the level of shopping experience in a super store where the customer’s expected service
level is met with the actual service provided by the retailer. Customer service is a series of activities designed to
increase the level of satisfaction which means the product or service has met the customer expectation.
Measuring service quality is difficult due to its unique characteristics: Intangibility, heterogeneity, inseparability
and perishability (Bateson, 1995). Again service quality is linked to the concepts of perceptions and
expectations. The functional quality of a service is often assessed by measures of customer’s attitudes as in
customer satisfaction questionnaires.

The European perspective consists of three dimensions: functional (the process of service delivery to customers),
technical (the outcomes generated by service to the customers) and image (how the customers view the
company). Considering on those dimensions the quality of service depends on two variables, the perceived
service and expected service (Gronroos, 1984). The customers of superstores are mainly higher income group
people. So, they want the satisfactory level of products and services rather than traditional shopping places. The
customers also want to minimize their time and hazards for shopping which causes the shopping in superstores
also. The management and owners of the superstores have to consider the influencing factors of customer
satisfaction to hold the market growth.

2. Literature Review

Seiranevoda (2011) has conducted study on The Factors that Influence the Consumer in Choosing
Departmental Store in Bangladesh where he identified the factors influencing consumers to shop at Superstore
in Bangladesh in specific six probable extrinsic cues. The six extrinsic cues- Brand Image, Perceive Price,
Perceived Quality, Product Availability and Location of the store.

In another research study, Palto R Datta (2010) argued that customer retention has received considerable
attention and has become a prime issue for food retail organizations desiring to stay in business, increase footfall,
maximize profits and/or build and sustain competitive advantage in the food sector in his research study on An
Examination into Customer Relationship Marketing and Customer Retention in Grocery Food Retailing in
Bangladesh. The general purpose of this research investigation is to identify, describe and analyze factors that
have an impact on customer retention in the Bangladesh food retailing context. The longer customers are
retained by an organization, the more benefits it is likely to accrue from a sustained income stream. This research
intends to examine customer retention in the context of relationship marketing, and giving particular attention to



                                                         24
Journal of Economics and Sustainable Development                                                  www.iiste.org
ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online)
Vol.3, No.7, 2012


the antecedents of customer relationships in food retailing and to find out how retailer relationships with
customers lead to customer retention.

To focus on customer satisfaction, Dr. S. Jeevananda (2011) suggested gaining high levels of customer
satisfaction is very important to a business because satisfied customers are most likely to be loyal and to make
repeat orders and to use a wide range of services offered by a business. Customer satisfaction is an asset that
should be monitored and managed just like any physical asset. The same way, Rajul Bhardwaj (2011) has
attempted to measure the links between attribute perceptions and consumer satisfaction, and between consumer
satisfaction and sales performance, in the food retail sector of India. The study relies upon an extensive data set
of consumer satisfaction and sales information from approximately 180 consumers. Hypothesis constructed
addresses the inherent nonlinearities and asymmetries in these links. Further, an example of how firms can use
the estimated linkages to develop satisfaction policies that are predicted to increase store revenues has been
presented.

Bangladesh's food retail sector is dominated by traditional shops; nonetheless, it has shown growth and
modernization, keeping pace with overall economic growth, the increase in middle-class consumers, and changes
in consumption patterns. The organized retail sector, including supermarkets, remains relatively small, but
consumes increasing volumes of imported food products and exhibits the fastest growth (Sarwer Hussain and
Ferdousi Ara, 2004).

3. Significance of the Study
From the above literature review, it is observed that the very few research worked have been done on the
customer satisfaction of superstores in Bangladesh in the field of explorative study. The field is new and
promising and there is a research gap which motivates to conduct the research on this title. The aim of research is
to identify the factors influencing the customer satisfaction of the super stores in Bangladesh which will be
helpful for the entrepreneurs and managements of this field to design their policies.

4. Objective of the Study
The principal objective of the study is to identify the factors influencing the customer satisfaction of the super
stores in Bangladesh. To accomplish this objective, following objectives have been covered:
i. To analyze the factors influencing the customer satisfaction of superstores in Bangladesh.
ii. To suggest some policy measures for customer satisfaction of present and future superstores in Bangladesh.

5. Hypothesis of the study
The following hypothesis has been formulated and tested:
Ho: The following factors hypothesized to contribute the customer satisfaction of Superstores in Bangladesh.
                                         Factors
     X1                            Quality of Products
     X2                          Quality of Store Service
     X3                     Choice to Purchase from the store
     X4                          Brand mix of a product
     X5                      Credit card facility to customer
     X6                             Location of store
     X7                            Variety of Products
     X8                       Reasonable Price of products

6. Scope of the study
The study covered the opinion of 50 customers of five Super stores in Chittagong which are as follows:
    Name of the Super store               Number of sample                         Percentage
          Khulshi Mart                              10                                 20%
             Swapno                                 10                                 20%
            Wal-Mart                                10                                 20%
              Agora                                 10                                 20%
Meena Bazar                         10                                   20%

7. Methodology
The study has been an explorative study. It has used only primary data.



                                                        25
Journal of Economics and Sustainable Development                                                    www.iiste.org
ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online)
Vol.3, No.7, 2012



7.1. Collection of Primary data
Researchers have prepared a questionnaire for collecting primary data on the basis of literature survey and
opinion of experts. For that the researchers have selected 5 super stores (all) in Chittagong for the purpose of
collecting data conveniently. They have attempted to conduct interviews of 50 customers from 5 super stores. In
this case, the opinions of sample respondents have been captured on five point likert scale (5- strongly agree, 4-
Agree,3-Neither agree nor disagree, 2 –disagree, 1- strongly disagree). The study has consulted existing
literature, journals, magazines, and websites of the sample stores for designing questionnaire and rationalizing
the present study.

7.2. Analysis of data
The data thus collected has been tabulated first. Then the data have been analyzed by employing sophisticated
multivariate technique- Varimax Rotated Factor Analysis or Principal Component Method.

7.3. Organization of the Study
The study has been segmented into three sections. First section has covered statement of the problem, objective,
hypothesis, and research methodology of the study; second section has focused on the findings and their analysis
and this section has covered summary of the findings, policy implications and conclusion.

8. Finding and Analysis
The analysis is subjected to correlation analysis, principal component analysis, rotated factor analysis and finally
factor score for ranking the factors derived from principal component analysis.

8.1. Analysis of Correlation Matrix
The study has estimated zero-order correlation of all 8 variables that contributes to the satisfaction of the
customer. The correlation matrix (Table-1) has shown that variables understudy have formed several groups on
the basis of relationship underlying between variables. Variables within the group have been found to have
significant relationship at different level of significance ranging from 1 to10%. It is observed that variable X6 has
been found significantly correlated with variable X4 at 1% level and variable X5 at 10% level; variable X3 is
found correlated with X2, at 5% level; variable X5 is correlated with X1 and X4 at 5% level; variable X8 is
correlated with X1 at 5% level, and with X2, X3 at 10% level of significance. These relationships between
variables finally lead to the information differently orthogonal factors.

8.2. Principal Component Analysis
The correlation matrix of all 8 variables has been further subjected to principal component analysis. The Eigen
values, the percentage of total variance, and rotated sum of squared loadings have been shown in Table-2. The
factor matrix as obtained in the principal component analysis has also been further subjected to Varimax
Rotation. An examination of Eigen values has led to the retention of three factors. These factors have
accumulated for 23.22%, 20.51%, and 18.44% of variation. This implies that the total variance accumulated for
by all three factors is 62.17% and remaining variance is explained by other factors.

8.3. Factor Analysis
The rotated factor matrix has been shown in Table-3(a). This shows that variables understudy have constituted
three groups/factors. It can be mentioned that the variable with factor loading of o.41 and above has been
considered for inclusion into the factors. These have been discussed in the following paragraphs.

Factor-I: Customer Facilities Factor
Factor-I explains 23.22% of the total variations existing in the variable set. This includes variables- X4, X5 and
X6. This factor has significant factor loadings on these variables which have formed this major cluster. This
factor belongs to brand mix of a product, credit card facility to customer, and location of store for customer
satisfaction of super stores. So, this factor provides a basis for conceptualization of a dimension, which may be
identified as ‘Customer Facilities Factor ’

Factor-II: Store Service Factor




                                                         26
Journal of Economics and Sustainable Development                                                    www.iiste.org
ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online)
Vol.3, No.7, 2012


Factor-II explains 20.51% of the total variations existing in the variable set. This includes variables- X2, X3. This
factor has significant factor loadings on these variables which have formed second important cluster. This factor
is concerned with quality of store service and choice to purchase from store. So, this factor provides a basis for
conceptualization of a dimension of store service, which may be identified as ‘Store Service Factor ’

Factor-III: Products Factor

Factor-III explains 18.44% of the total variations existing in the variable set. This includes variables- X1, X8 and
X7. This factor has significant factor loadings on these variables which have formed third cluster. This factor is
related to quality of products, reasonable price of products and variety of products. So, this factor provides a
basis for conceptualization of a dimension of products, which may be identified as ‘Products Factor’.

Finally the rankings obtained on the basis of factor wise average scores are shown in the following table:
Table-4: Rankings of the customer satisfaction factors
                                         Factor                 Average Score                    Rank
   I                           Customer Facilities                    1.85                         3
                               Factor
   II                          Store Service Factor                   2.29                         2
   III                         Products Factor                        2.71                         1
Note: Data have been compiled by the researchers
The ranking show that factors III: Products Factor is the most important factor that leads the customer for going
to the super stores. This factor includes variable X1: Quality of Products, X8: Reasonable price of products, and
X7: Variety of products. This implies that the customers give emphasize on products for going to the super store
rather than traditional grocery shop. So, the product related variables are key indicators of customer satisfaction
in super store.

The second important factor is service related which are provided to customer. These services (helping of
employee, easy access, payment system, environment of the store etc.) influence the customer for purchasing in
the super store and reasons for satisfaction.


9. Summary of the Findings, Policy Implication and Conclusion
The present study has an explorative one. It has tired to explore the variables for customer satisfaction in the
super stores in Bangladesh by employing sophisticated multivariate technique- Varimax Rotated Factor analysis.
In this case, the study has used SPSS -10th version.
The study has found following factors as significant for customer satisfaction.
     i.        Products Factor
     ii.       Store Service Factor
     iii.      Customer Facilities Factor.

The study has suggested present and future entrepreneurs of super stores to take above factors into consideration
while operating the super store business.

Reference
Allen, D. R., & Roa, T. R. (2000). ‘Analysis of customer satisfaction data: A comprehensive guide to
multivariate statistical analysis in customer satisfaction, loyalty, and service quality research’. Milwaukee, WI:
ASQ Quality Press.

Armstrong, Gary. and Kotler, Philip (2006), 'Marketing: An Introduction', Prentice Hill, 8th Edition, New Jersey

Baker, Michael J. (2003), 'The Marketing Book', Butterworth-Heinemann, Fifth Edition

Bearden, W. O., & Teel, J. E. (1983). ‘Selected determinants of consumer satisfaction and complaint reports’.
Journal of Marketing Research, 20(1), 21–28.

Datta, Palto R. (2010), ‘An Examination into Customer Relationship Marketing and Customer Retention in
Grocery food retaing in Bangladesh:Proposed Research Agenda’. International Trade & Academic Research
Conference (ITARC) - London 2010.



                                                         27
Journal of Economics and Sustainable Development                                               www.iiste.org
ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online)
Vol.3, No.7, 2012



Giese, Joan L. & Cote, Joseph A. (20), ‘Defining Consumer Satisfaction’, Academy of Marketing Science
Review, Volume 2000, No. 1

Gupta,Rahul (2007), ‘In-store and Online Retail Pricing Policies’. Working Paper, University of Nottingham.

Hawkes , Corinna(2008), ‘Dietary Implications of Supermarket Development: A Global Perspective’.
Development Policy Review, 2008, 26 (6): 657-692.

Hussain, Sayed Sarwer. & Ara, Ferdousi. (2004),’Bangladesh Retail Food Sector Report 2004’, USDA Foreign
Agricultural Service. US Embassy Dhaka, Bangladesh
.
Jeevananda, Dr. S. (2011), ‘Study on Customer satisfaction level at Hypermarkets in Indian Retail Industry’,
Research journal of Social Science and Management, Volume:01, Number:03

Kumar, Abhijeet (2005), ‘Determining Consumer Food Purchasing Behavior In Maine’, Working Paper, The
University of Maine.

Ma, Yan & Ding, Jianxun (2010), ‘Delivering Customer Value Based on Service Process:The Example of
Tesco.com’. International Business Research Vol. 3, No. 2.

Omar, Nor Asiah. , Aziz, Norzalita Abd. and Nazri , Muhamad Azrin (2011), ‘Understanding the relationships
of program satisfaction, program loyalty and store loyalty among cardholders of loyalty programs’. Asian
Academy of Management Journal, Vol. 16, No. 1, 21–41.

Peppers, D., and Rogers, M. (1999), ‘The One-to-One Manager: An Executive’s Guide to Customer Relationship
Management’, New York: Random House, 1999.

Seiranevoda (2011), ‘The Factors That Influence the Consumer in Choosing Departmental Store in Bangladesh’,
Retrieved at Jan 5, 2012. From
http://www.oppapers.com/essays/The-Factors-That-Influence-The-Consumer/581444




                                                     28
Journal of Economics and Sustainable Development                                                        www.iiste.org
ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online)
Vol.3, No.7, 2012


Appendix
Table 1: Correlation Matrix
                                     X1        X2        X3         X4         X5      X6       X7       X8
         Correlation     X1        1.000
                         X2        -.079       1.000
                         X3        -.007      -.379*    1.000
                         X4        -.120        .039     .099      1.000
                         X5         .352        .061    -.152      -.392      1.000
                         X6        -.197        .012     .094       .521      -.287   1.000
                         X7         .149       -.165     .087      -.059       .148   -.246 1.000
                         X8        -.369       -.300     .304       .020      -.090    .036 -.040      1.000
         *Italic Numbers are correlated at 1% and 5% significant level.
Note: Data have been compiled by the researchers

Table 2: Total Variance Explained
          Initial                    Extraction Sums                  Rotation Sums
          Eigen                        of Squared                      of Squared
          values                        Loadings                        Loadings
Component Total      % of Cumulative      Total       % of Cumulative     Total      % of Cumulative
                    Variance %                       Variance %                     Variance %
    1       2.142    26.771    26.771           2.142          26.771      26.771       1.858        23.220    23.220
    2       1.656    20.700    47.470           1.656          20.700      47.470       1.641        20.516    43.736
    3       1.177    14.709    62.179           1.177          14.709      62.179       1.475        18.443    62.179
    4        .877    10.957    73.136
    5        .708    8.847      81.983
    6        .606    7.576      89.559
    7        .488    6.105      95.664
    8        .347    4.336     100.000
Extraction Method: Principal Component Analysis.
Note: Data have been compiled by the researchers

                                    Table 3(a): Rotated Component Matrix
                                                     Component
                                                    1   2    3
                                               X4 .852
                                               X6 .798
                                               X5 -.616
                                                 X2       -.802
                                           X3       .758
                                           X1             .833
                                           X8            -.691
                                           X7             .412
  Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
                             Note: Data have been compiled by the researchers

                                      Table 3(b): Descriptive Statistics
                                         Mean       Std. Deviation Analysis
                                                                         N
                                 X1       4.34           .4785           50
                                 X2       1.66           .6581           50
                                 X3       4.30           .6468           50
                                 X4       2.40           .6389           50
                                 X5       3.02           .6848           50
                                 X6       2.08           .9442           50
                                 X7       4.30           .5440           50
                                 X8       3.98           .6543           50
                               Note: Data have been compiled by the researchers




                                                          29
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Customer satisfaction of super stores in bangladesh an explorative study

  • 1. Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.3, No.7, 2012 Customer Satisfaction of Super Stores in Bangladesh- An Explorative Study 1 Mohammad Abul Kashem Mohammad Shahidul Islam2 E-mail of the corresponding author: mak.mktg@yahoo.com 1. Lecturer, School of Business, University of Information Technology and Sciences (UITS), Bangladesh. 2. Assistant Professor, School of Business, University of Information Technology and Sciences (UITS), Bangladesh Abstract The numbers of Super stores are increasing in Bangladesh to satisfy the demand of customers. The present study has been undertaken in order to identify the influencing factors of customer satisfaction by employing sophisticated multivariate technique- Varimax Rotated Factor Analytical Technique. The study has collected and used only primary data and consulted available literature for designing the questionnaire. The study has identified factors influencing the customer satisfaction of superstores in Bangladesh: Product factors, Store service factor, and Customer facilities factor. The study has suggested entrepreneurs of Super stores to consider these factors while designing their policies for superstores. Keywords: Superstore, Customer Satisfaction, Factor Analysis, Product Factors. 1. Background of the Study Super Store is a new concept in Bangladesh. The Chain Superstores are now a growing phenomenon in city area. As the customers are increasingly becoming more aware of the conveniences and their own lifestyles, they are in many cases preferring to go to a Chain Superstore for their everyday shopping rather than to small departmental stores around. So, the customer satisfaction is important for growth of this sector. Customer satisfaction is a simple term stated as the level of shopping experience in a super store where the customer’s expected service level is met with the actual service provided by the retailer. Customer service is a series of activities designed to increase the level of satisfaction which means the product or service has met the customer expectation. Measuring service quality is difficult due to its unique characteristics: Intangibility, heterogeneity, inseparability and perishability (Bateson, 1995). Again service quality is linked to the concepts of perceptions and expectations. The functional quality of a service is often assessed by measures of customer’s attitudes as in customer satisfaction questionnaires. The European perspective consists of three dimensions: functional (the process of service delivery to customers), technical (the outcomes generated by service to the customers) and image (how the customers view the company). Considering on those dimensions the quality of service depends on two variables, the perceived service and expected service (Gronroos, 1984). The customers of superstores are mainly higher income group people. So, they want the satisfactory level of products and services rather than traditional shopping places. The customers also want to minimize their time and hazards for shopping which causes the shopping in superstores also. The management and owners of the superstores have to consider the influencing factors of customer satisfaction to hold the market growth. 2. Literature Review Seiranevoda (2011) has conducted study on The Factors that Influence the Consumer in Choosing Departmental Store in Bangladesh where he identified the factors influencing consumers to shop at Superstore in Bangladesh in specific six probable extrinsic cues. The six extrinsic cues- Brand Image, Perceive Price, Perceived Quality, Product Availability and Location of the store. In another research study, Palto R Datta (2010) argued that customer retention has received considerable attention and has become a prime issue for food retail organizations desiring to stay in business, increase footfall, maximize profits and/or build and sustain competitive advantage in the food sector in his research study on An Examination into Customer Relationship Marketing and Customer Retention in Grocery Food Retailing in Bangladesh. The general purpose of this research investigation is to identify, describe and analyze factors that have an impact on customer retention in the Bangladesh food retailing context. The longer customers are retained by an organization, the more benefits it is likely to accrue from a sustained income stream. This research intends to examine customer retention in the context of relationship marketing, and giving particular attention to 24
  • 2. Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.3, No.7, 2012 the antecedents of customer relationships in food retailing and to find out how retailer relationships with customers lead to customer retention. To focus on customer satisfaction, Dr. S. Jeevananda (2011) suggested gaining high levels of customer satisfaction is very important to a business because satisfied customers are most likely to be loyal and to make repeat orders and to use a wide range of services offered by a business. Customer satisfaction is an asset that should be monitored and managed just like any physical asset. The same way, Rajul Bhardwaj (2011) has attempted to measure the links between attribute perceptions and consumer satisfaction, and between consumer satisfaction and sales performance, in the food retail sector of India. The study relies upon an extensive data set of consumer satisfaction and sales information from approximately 180 consumers. Hypothesis constructed addresses the inherent nonlinearities and asymmetries in these links. Further, an example of how firms can use the estimated linkages to develop satisfaction policies that are predicted to increase store revenues has been presented. Bangladesh's food retail sector is dominated by traditional shops; nonetheless, it has shown growth and modernization, keeping pace with overall economic growth, the increase in middle-class consumers, and changes in consumption patterns. The organized retail sector, including supermarkets, remains relatively small, but consumes increasing volumes of imported food products and exhibits the fastest growth (Sarwer Hussain and Ferdousi Ara, 2004). 3. Significance of the Study From the above literature review, it is observed that the very few research worked have been done on the customer satisfaction of superstores in Bangladesh in the field of explorative study. The field is new and promising and there is a research gap which motivates to conduct the research on this title. The aim of research is to identify the factors influencing the customer satisfaction of the super stores in Bangladesh which will be helpful for the entrepreneurs and managements of this field to design their policies. 4. Objective of the Study The principal objective of the study is to identify the factors influencing the customer satisfaction of the super stores in Bangladesh. To accomplish this objective, following objectives have been covered: i. To analyze the factors influencing the customer satisfaction of superstores in Bangladesh. ii. To suggest some policy measures for customer satisfaction of present and future superstores in Bangladesh. 5. Hypothesis of the study The following hypothesis has been formulated and tested: Ho: The following factors hypothesized to contribute the customer satisfaction of Superstores in Bangladesh. Factors X1 Quality of Products X2 Quality of Store Service X3 Choice to Purchase from the store X4 Brand mix of a product X5 Credit card facility to customer X6 Location of store X7 Variety of Products X8 Reasonable Price of products 6. Scope of the study The study covered the opinion of 50 customers of five Super stores in Chittagong which are as follows: Name of the Super store Number of sample Percentage Khulshi Mart 10 20% Swapno 10 20% Wal-Mart 10 20% Agora 10 20% Meena Bazar 10 20% 7. Methodology The study has been an explorative study. It has used only primary data. 25
  • 3. Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.3, No.7, 2012 7.1. Collection of Primary data Researchers have prepared a questionnaire for collecting primary data on the basis of literature survey and opinion of experts. For that the researchers have selected 5 super stores (all) in Chittagong for the purpose of collecting data conveniently. They have attempted to conduct interviews of 50 customers from 5 super stores. In this case, the opinions of sample respondents have been captured on five point likert scale (5- strongly agree, 4- Agree,3-Neither agree nor disagree, 2 –disagree, 1- strongly disagree). The study has consulted existing literature, journals, magazines, and websites of the sample stores for designing questionnaire and rationalizing the present study. 7.2. Analysis of data The data thus collected has been tabulated first. Then the data have been analyzed by employing sophisticated multivariate technique- Varimax Rotated Factor Analysis or Principal Component Method. 7.3. Organization of the Study The study has been segmented into three sections. First section has covered statement of the problem, objective, hypothesis, and research methodology of the study; second section has focused on the findings and their analysis and this section has covered summary of the findings, policy implications and conclusion. 8. Finding and Analysis The analysis is subjected to correlation analysis, principal component analysis, rotated factor analysis and finally factor score for ranking the factors derived from principal component analysis. 8.1. Analysis of Correlation Matrix The study has estimated zero-order correlation of all 8 variables that contributes to the satisfaction of the customer. The correlation matrix (Table-1) has shown that variables understudy have formed several groups on the basis of relationship underlying between variables. Variables within the group have been found to have significant relationship at different level of significance ranging from 1 to10%. It is observed that variable X6 has been found significantly correlated with variable X4 at 1% level and variable X5 at 10% level; variable X3 is found correlated with X2, at 5% level; variable X5 is correlated with X1 and X4 at 5% level; variable X8 is correlated with X1 at 5% level, and with X2, X3 at 10% level of significance. These relationships between variables finally lead to the information differently orthogonal factors. 8.2. Principal Component Analysis The correlation matrix of all 8 variables has been further subjected to principal component analysis. The Eigen values, the percentage of total variance, and rotated sum of squared loadings have been shown in Table-2. The factor matrix as obtained in the principal component analysis has also been further subjected to Varimax Rotation. An examination of Eigen values has led to the retention of three factors. These factors have accumulated for 23.22%, 20.51%, and 18.44% of variation. This implies that the total variance accumulated for by all three factors is 62.17% and remaining variance is explained by other factors. 8.3. Factor Analysis The rotated factor matrix has been shown in Table-3(a). This shows that variables understudy have constituted three groups/factors. It can be mentioned that the variable with factor loading of o.41 and above has been considered for inclusion into the factors. These have been discussed in the following paragraphs. Factor-I: Customer Facilities Factor Factor-I explains 23.22% of the total variations existing in the variable set. This includes variables- X4, X5 and X6. This factor has significant factor loadings on these variables which have formed this major cluster. This factor belongs to brand mix of a product, credit card facility to customer, and location of store for customer satisfaction of super stores. So, this factor provides a basis for conceptualization of a dimension, which may be identified as ‘Customer Facilities Factor ’ Factor-II: Store Service Factor 26
  • 4. Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.3, No.7, 2012 Factor-II explains 20.51% of the total variations existing in the variable set. This includes variables- X2, X3. This factor has significant factor loadings on these variables which have formed second important cluster. This factor is concerned with quality of store service and choice to purchase from store. So, this factor provides a basis for conceptualization of a dimension of store service, which may be identified as ‘Store Service Factor ’ Factor-III: Products Factor Factor-III explains 18.44% of the total variations existing in the variable set. This includes variables- X1, X8 and X7. This factor has significant factor loadings on these variables which have formed third cluster. This factor is related to quality of products, reasonable price of products and variety of products. So, this factor provides a basis for conceptualization of a dimension of products, which may be identified as ‘Products Factor’. Finally the rankings obtained on the basis of factor wise average scores are shown in the following table: Table-4: Rankings of the customer satisfaction factors Factor Average Score Rank I Customer Facilities 1.85 3 Factor II Store Service Factor 2.29 2 III Products Factor 2.71 1 Note: Data have been compiled by the researchers The ranking show that factors III: Products Factor is the most important factor that leads the customer for going to the super stores. This factor includes variable X1: Quality of Products, X8: Reasonable price of products, and X7: Variety of products. This implies that the customers give emphasize on products for going to the super store rather than traditional grocery shop. So, the product related variables are key indicators of customer satisfaction in super store. The second important factor is service related which are provided to customer. These services (helping of employee, easy access, payment system, environment of the store etc.) influence the customer for purchasing in the super store and reasons for satisfaction. 9. Summary of the Findings, Policy Implication and Conclusion The present study has an explorative one. It has tired to explore the variables for customer satisfaction in the super stores in Bangladesh by employing sophisticated multivariate technique- Varimax Rotated Factor analysis. In this case, the study has used SPSS -10th version. The study has found following factors as significant for customer satisfaction. i. Products Factor ii. Store Service Factor iii. Customer Facilities Factor. The study has suggested present and future entrepreneurs of super stores to take above factors into consideration while operating the super store business. Reference Allen, D. R., & Roa, T. R. (2000). ‘Analysis of customer satisfaction data: A comprehensive guide to multivariate statistical analysis in customer satisfaction, loyalty, and service quality research’. Milwaukee, WI: ASQ Quality Press. Armstrong, Gary. and Kotler, Philip (2006), 'Marketing: An Introduction', Prentice Hill, 8th Edition, New Jersey Baker, Michael J. (2003), 'The Marketing Book', Butterworth-Heinemann, Fifth Edition Bearden, W. O., & Teel, J. E. (1983). ‘Selected determinants of consumer satisfaction and complaint reports’. Journal of Marketing Research, 20(1), 21–28. Datta, Palto R. (2010), ‘An Examination into Customer Relationship Marketing and Customer Retention in Grocery food retaing in Bangladesh:Proposed Research Agenda’. International Trade & Academic Research Conference (ITARC) - London 2010. 27
  • 5. Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.3, No.7, 2012 Giese, Joan L. & Cote, Joseph A. (20), ‘Defining Consumer Satisfaction’, Academy of Marketing Science Review, Volume 2000, No. 1 Gupta,Rahul (2007), ‘In-store and Online Retail Pricing Policies’. Working Paper, University of Nottingham. Hawkes , Corinna(2008), ‘Dietary Implications of Supermarket Development: A Global Perspective’. Development Policy Review, 2008, 26 (6): 657-692. Hussain, Sayed Sarwer. & Ara, Ferdousi. (2004),’Bangladesh Retail Food Sector Report 2004’, USDA Foreign Agricultural Service. US Embassy Dhaka, Bangladesh . Jeevananda, Dr. S. (2011), ‘Study on Customer satisfaction level at Hypermarkets in Indian Retail Industry’, Research journal of Social Science and Management, Volume:01, Number:03 Kumar, Abhijeet (2005), ‘Determining Consumer Food Purchasing Behavior In Maine’, Working Paper, The University of Maine. Ma, Yan & Ding, Jianxun (2010), ‘Delivering Customer Value Based on Service Process:The Example of Tesco.com’. International Business Research Vol. 3, No. 2. Omar, Nor Asiah. , Aziz, Norzalita Abd. and Nazri , Muhamad Azrin (2011), ‘Understanding the relationships of program satisfaction, program loyalty and store loyalty among cardholders of loyalty programs’. Asian Academy of Management Journal, Vol. 16, No. 1, 21–41. Peppers, D., and Rogers, M. (1999), ‘The One-to-One Manager: An Executive’s Guide to Customer Relationship Management’, New York: Random House, 1999. Seiranevoda (2011), ‘The Factors That Influence the Consumer in Choosing Departmental Store in Bangladesh’, Retrieved at Jan 5, 2012. From http://www.oppapers.com/essays/The-Factors-That-Influence-The-Consumer/581444 28
  • 6. Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.3, No.7, 2012 Appendix Table 1: Correlation Matrix X1 X2 X3 X4 X5 X6 X7 X8 Correlation X1 1.000 X2 -.079 1.000 X3 -.007 -.379* 1.000 X4 -.120 .039 .099 1.000 X5 .352 .061 -.152 -.392 1.000 X6 -.197 .012 .094 .521 -.287 1.000 X7 .149 -.165 .087 -.059 .148 -.246 1.000 X8 -.369 -.300 .304 .020 -.090 .036 -.040 1.000 *Italic Numbers are correlated at 1% and 5% significant level. Note: Data have been compiled by the researchers Table 2: Total Variance Explained Initial Extraction Sums Rotation Sums Eigen of Squared of Squared values Loadings Loadings Component Total % of Cumulative Total % of Cumulative Total % of Cumulative Variance % Variance % Variance % 1 2.142 26.771 26.771 2.142 26.771 26.771 1.858 23.220 23.220 2 1.656 20.700 47.470 1.656 20.700 47.470 1.641 20.516 43.736 3 1.177 14.709 62.179 1.177 14.709 62.179 1.475 18.443 62.179 4 .877 10.957 73.136 5 .708 8.847 81.983 6 .606 7.576 89.559 7 .488 6.105 95.664 8 .347 4.336 100.000 Extraction Method: Principal Component Analysis. Note: Data have been compiled by the researchers Table 3(a): Rotated Component Matrix Component 1 2 3 X4 .852 X6 .798 X5 -.616 X2 -.802 X3 .758 X1 .833 X8 -.691 X7 .412 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. Note: Data have been compiled by the researchers Table 3(b): Descriptive Statistics Mean Std. Deviation Analysis N X1 4.34 .4785 50 X2 1.66 .6581 50 X3 4.30 .6468 50 X4 2.40 .6389 50 X5 3.02 .6848 50 X6 2.08 .9442 50 X7 4.30 .5440 50 X8 3.98 .6543 50 Note: Data have been compiled by the researchers 29
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