Study on Customer satisfaction level at Hypermarkets in ...

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Volume:01, Number:03, July-2011 Page 1 www.theinternationaljournal.org Study on Customer satisfaction level at Hypermarkets in Indian Retail Industry Dr. S. Jeevananda Assistant Professor I & Campus Co-ordinator. Christ University Institute of Management. Abstract: Satisfying customers is one of the main objectives of every business. Businesses recognize that keeping current customers is more profitable than having to win new ones to replace those lost. Management and marketing theorists underscore the importance of customer satisfaction for a business’s success. Customer satisfaction is the key factor in knowing the success of any retail store or business, therefore it is very important to measure it and to find the factors which affect the customer satisfaction. Customers are most likely to appreciate the goods and services that they buy if they are made to feel special. This occurs when they feel that the goods and services that they buy have been specially produced for them or for people like them. It should be always keep measuring in order to get feedback for the product and service in order to develop it further with wide customization. Customer satisfaction refers to the extent to which customers are happy with the products and services provided by a business. Customer satisfaction levels can be measured using survey techniques and questionnaires. 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. This is true for both service-oriented and product-oriented organizations. Key Words: Customer Satisfaction, Service Quality, Hypermarket Retail Stores, Decision Making, Loyalty.

Transcript of Study on Customer satisfaction level at Hypermarkets in ...

Page 1: Study on Customer satisfaction level at Hypermarkets in ...

Volume:01, Number:03, July-2011 Page 1 www.theinternationaljournal.org

Study on Customer satisfaction level at Hypermarkets in

Indian Retail Industry

Dr. S. Jeevananda Assistant Professor – I & Campus Co-ordinator.

Christ University Institute of Management.

Abstract:

Satisfying customers is one of the main objectives of every business. Businesses recognize

that keeping current customers is more profitable than having to win new ones to replace

those lost. Management and marketing theorists underscore the importance of customer

satisfaction for a business’s success. Customer satisfaction is the key factor in knowing the

success of any retail store or business, therefore it is very important to measure it and to find

the factors which affect the customer satisfaction. Customers are most likely to appreciate the

goods and services that they buy if they are made to feel special. This occurs when they feel

that the goods and services that they buy have been specially produced for them or for people

like them. It should be always keep measuring in order to get feedback for the product and

service in order to develop it further with wide customization.

Customer satisfaction refers to the extent to which customers are happy with the products and

services provided by a business. Customer satisfaction levels can be measured using survey

techniques and questionnaires. 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. This is true for both

service-oriented and product-oriented organizations.

Key Words: Customer Satisfaction, Service Quality, Hypermarket Retail Stores, Decision

Making, Loyalty.

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Indian retail industry:

Indian retail industry is a derivative of the growing economy, changing demographics and

preferences of the Indian consumers. Retailing format like supermarkets, department stores,

mega stores, shopping malls and retail chains had come up on the country with varying

intensity during the 1980’s and 1990’s, have now started proliferating. Organized retail is

booming and creating huge opportunity for enterprises. Ever increasing number of

hypermarkets, departmental stores and shopping malls need continuous attention from

customers.

Retail is India’s largest industry, accounting for over 10% of the country’s GDP and around

8% of the employment. Indian retail industry size was estimated at INR 754.21 billion in

2005-06, out of which the organized retail contributed about INR 366.21 billion.

(www.indiainbusiness.nic.in)

Introduction to Hypermarket retailing formats

A hypermarket is a superstore which combines a supermarket and a department store. The

result is a very large retail facility which carries an enormous range of products under one

roof, including full lines of groceries and general merchandise. In theory, hypermarkets allow

customers to satisfy all their routine shopping needs in one trip.

Describing a typical hypermarket is difficult, since they differ from country to country. But

most hypermarkets have a large parking area and a building with 50,000 sq.ft. of sales space,

more or less. Hypermarkets operating in India typically have a heterogeneous mixture of

large and small individual retailers. Most of these Hypermarkets sell branded products of

both, domestic and international manufacturers. Hypermarkets of India offer products with

different price bands for each and every sections of urban society.

Indian hypermarkets constitute 1.99% of the total organized retail and the segment was

estimated at INR 7.28 billion during 2005-06, growing by 37% over 2004-05.

Review of Literature:

Customer satisfaction in simple terms stated as the level of shopping experience in a retail

outlet where the customer’s expected service level is met with by the actual service provided

to him by the retailer. In a business term, it is a measure of how products and services

supplied by a company meet or surpass customer expectation. Customer service is a series of

activities designed to enhance the level of customer satisfaction – that is, the feeling that a

product or service has met the customer expectation.

Measuring service quality is difficult due to its unique characteristics: Intangibility,

heterogeneity, inseparability and perish ability (Bateson, 1995). Service quality is linked to

the concepts of perceptions and expectations. Customers’ perceptions of service quality result

from a comparison of their before-service expectations with their actual service experience.

The service will be considered excellent, if perceptions exceed expectations; it will be

regarded as good or adequate, if it only equals the expectations; the service will be classed as

bad, poor or deficient, if it does not meet them.

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The functional quality of a service is often assessed by measures of customers’ attitudes as in

customer satisfaction questionnaires. As discussed by Hayes (1997), the process of

identifying customers’ attitude begins with determining customers’ requirements or quality

dimensions.

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).

Parasuraman et al (1985) identified in his first study, 10 quality dimensions based on series of

focus group sessions. However he emphasized on two main dimensions such as Quality

dimension development approach and critical incident approach. The first one uses different

sources of information such as opinions of providers and leaders and the second one is a

process to obtain information from customers.

Statement of the Problem:

Retailers need to constantly update themselves with the need and wants of customers who are

very much dynamic in terms of preference of any product or services. They have high

disposable income to cash on frequent shopping habits and thus their need of customer

satisfaction levels in the store would help them device strategies that could enhance customer

experience and generate loyalty.

Highly competitive market scenarios in every retail format has led the retailers to concentrate

on clearly understanding the attributes that are important to enhance customer satisfaction

levels and in turn generate more sales. At this juncture it become more significant to

understand the various customer service attributes that are of vital importance in creating

customer satisfaction in hypermarket retail formats. Hence the research study was carried out

on the topic titled “Study on Customer satisfaction level at Hypermarkets in Indian Retail

Industry”.

Research Methodology and Design:

In this research, descriptive research methodology has been adopted to analyse the various

demographic variables. This study involves the field survey conducted across different retail

stores in Bangalore. The respondents were approached inside the hypermarket retail stores. It

also focused on the decision about choice of stores for specific purchase incident, since each

purchase occasion might actually be a different decision.

Objective of the study:

To identify the important customer service attribute that helps in making buying

decision.

To analyse the correlation between customer satisfaction level and loyalty of

customers.

To study the different strategies used by retail players to increase level of customer

satisfaction.

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Statement of Hypothesis:

1. Ho: Customer Service is not a key attribute in buying decision process

Ha: Customer Service is a key attribute in buying decision process.

2. Ho: There exists no significant difference between expected and actual service levels.

Ha: There exists significant difference between expected and actual service levels.

3. Ho: Loyalty of customers is independent of their satisfaction level.

Ha: Loyalty of customers is dependent on their satisfaction level.

4. Ho: Overall customer satisfaction level rating at the stores is poor.

Ha: Overall customer satisfaction level rating at the stores is good.

Data Collection:

Primary data is collected by administering the questionnaires to the customers at

hypermarket stores.

Secondary data for the study was collected from various existing sources of

information such as internet, newspaper, magazines, journals are used for reference.

List of hypermarket players in Bangalore : Spar; Max; Total; Reliance Mart; Big

Bazar

Sampling Procedure:

Sampling Method: Simple random sampling.

Sampling Size: 100 customers.

Sampling Characteristics: Customers shopping at hypermarket retail stores.

Limitations of the study:

The study was conducted only at hypermarket retail outlets.

The study was confined only to Bangalore district.

Analysis:

Figure No 1: Shopping Preference.

62

45

41

Shopping Preference

Hypermarket Convenience Store Nearby Kirana Store

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Inference :

Among the sample size, 62 respondents say that they shop at Hypermarkets regularly,

followed by 45 and 41 respondents who shop at Convenience stores and Kirana Stores

respectively. This tells us that among the various retail formats, hypermarkets have been

preferred for shopping by most of the respondents.

Figure No 2: To identify the most important customer service attribute through giving

weightage points to them :

Inference:

From the above chart we can say that Personal assistance to customers in selecting the

merchandize is the most important customer service attribute. This is followed by Parking

areas, Assembly of merchandize, Acceptance of credit cards, etc. respectively.

Customers give the least importance to child care facilities as a customer service. Thus

retailers have to make a note to emphasize more on employee training on product knowledge,

behavior and friendliness nature of the salespeople who directly interact with customers.

Table No 1: There is a match between expected and actual service levels of the

customers.

Frequency Percent Valid Percent

Cumulative

Percent

Valid Can't Say 35 35.0 35.0 35.0

Yes 18 18.0 18.0 53.0

No 47 47.0 47.0 100.0

323

330

250

299

301

335

344

302

311

0 50 100 150 200 250 300 350 400

Acceptance of credit cards

Assembly of merchandize

Child care facilities

Home delivery

Dressing rooms

Parking

Personal assistance in selecting the merchandize

Repair services

Warranties

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Frequency Percent Valid Percent

Cumulative

Percent

Valid Can't Say 35 35.0 35.0 35.0

Yes 18 18.0 18.0 53.0

No 47 47.0 47.0 100.0

Total 100 100.0 100.0

Figure No 3: Match between actual and expected service levels

Inference :

47% of the respondents say that their expected service levels at the stores are not

being delivered in actual service. While 35% are neutral, 18% say that their expected service

levels match with the actual service provided to them. It can thus be concluded to say that

there exists service gaps between customers’ expectation of service level and what they

actually get.

Table No 2: Loyalty to the store if service level is good.

Frequency Percent Valid Percent

Cumulative

Percent

Valid Can't Say 21 21.0 21.0 21.0

No 1 1.0 1.0 22.0

Yes 78 78.0 78.0 100.0

Total 100 100.0 100.0

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Figure No 4: Loyalty to the store if service level is good

Inference :

It can be inferred from the chart above that if good customer service is provided to

the customers, 78% of the respondents said that they would remain loyal to the store. And

only 1% still says that they would remain unloyal to the store. Thus good service is very

important to satisfy customers and generate repeat business by attaining customer loyalty to

the store.

Figure No 5: Various promotional tools used in the store

Inference :

Posters and Banners were mostly used in the stores as 61 respondents agree to this

promotional tool used in the store they have visited. Print ads/ TV commercials are being

witnessed by 51 respondents in the store while only 22 respondents have been assisted by

salesperson in these stores.

51

61

22

37

Print Ads and TVCommercials

Posters/Banners Salesperson Assistance RegularAnnouncements in the

store

Various promotional tools used in the store

Series1

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Table No 3: Extent of promotional tools useful in making buying decisions

Frequency Percent Valid Percent

Cumulative

Percent

Valid Can't Say 13 13.0 13.0 13.0

Extremely useful 10 10.0 10.0 23.0

Not useful at all 1 1.0 1.0 24.0

Somewhat not

useful

10 10.0 10.0 34.0

Somewhat useful 66 66.0 66.0 100.0

Total 100 100.0 100.0

Figure No 6: Degree of usefulness of the promotional tools.

Inference:

From the above list of promotional tools used in the store, 66 of the respondents agree

to say that the tools have been somewhat useful to them for making buying decisions. While

10 respondents say that they had been extremely useful, only 1 respondent said that they have

never been of any use to him for making buying decisions.

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Table No 4: Frequency chart on Overall customer satisfaction level.

Frequency Percent Valid Percent

Cumulative

Percent

Valid 1 17 17.0 17.0 17.0

2 38 38.0 38.0 55.0

3 32 32.0 32.0 87.0

4 9 9.0 9.0 96.0

5 4 4.0 4.0 100.0

Total 100 100.0 100.0

Figure No 7: Overall satisfaction

Inference:

It can be said from the above frequency chart that 17 respondents agree to say that

their overall satisfaction of service at the store is highly dissatisfied. 38 respondents consider

it somewhat dissatisfied while only 4 respondent feel that they are highly satisfied with the

customer service levels at the store.

From this we can infer that there is lot of scope for improvement of overall satisfaction of

customers and strong and relevant steps should be adopted by the retailers to improve the

same.

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Hypothesis testing:

1. To test hypothesis whether overall customer satisfaction rating at the stores are good

or poor.

H1: Overall customer satisfaction level rating at the stores is poor.

One sample t-test is used with α=.05 and confidence level at 95%, df = 99, t-3.

One-Sample Statistics

N Mean Std. Deviation

Std. Error

Mean

Overall

satisfaction

100 2.45 1.009 .101

One-Sample Test

Test Value = 3

t df

Sig. (2-

tailed)

Mean

Difference

95% Confidence

Interval of the

Difference

Lower Upper

Overall

satisfaction

-5.452 99 .000 -.550 -.75 -.35

Inference:

With critical t=3(indicating customer satisfaction level rating is neutral), the observed

mean is 2.45 which is less than 3. Also significant value of the sample population is less than

.05, ie.0.000. Hence, null hypothesis is accepted and alternate hypothesis is rejected which

conclude to say that overall customer satisfaction rating is very poor.

2. To test hypothesis whether customer service is a key attribute in consumer’s buying

decision making or not.

H2: Customer service is not a key attribute in consumers’ buying decision

making.

One sample t-test is used with α=.05 and confidence level at 95%, df = 99, t-3.

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One-Sample Statistics

N Mean

Std.

Deviation

Std. Error

Mean

Buying decision

making based on

customer

service(personal

assistance)

100 4.05 .903 .090

One-Sample Test

Test Value = 3

T df

Sig. (2-

tailed)

Mean

Difference

95% Confidence Interval

of the Difference

Lower Upper

Buying decision making

based on customer

service(personal

assistance)

11.626 99 .000 1.050 .87 1.23

Inference:

From the above results, the mean value 4.05 is greater than test value=3. The significance

value of the output, 0.00 is lesser than the tested significance level at 0.05.

Hence, null hypothesis is rejected and alternative hypothesis is accepted.

Chi-Squared Test:

3. H3: There exist no significant differences between expected service level of

customer and actual service delivered.

Descriptive Statistics

N Mean

Std.

Deviation Minimum Maximum

rating 99 1.76 .757 1 3

Chi-Square Test Frequencies Rating

Observed N Expected N Residual

1 43 33.0 10.0

2 37 33.0 4.0

3 19 33.0 -14.0

Total 99

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Test Statistics

rating

Chi-Square 9.455a

Df 2

Asymp. Sig. .009

.

Inference:

The observed mean value of the test is 1.76 and the significance value of 0.009 is lesser than

tested value of 0.05. Hence, null hypothesis is rejected and alternative hypothesis is accepted.

4. H4: Loyalty of customers is independent of their satisfaction level.

Descriptive Statistics

N Mean

Std.

Deviation Minimum Maximum

Loyalty if

service level is

good

100 1.23 .446 1 3

Chi-Square Test Frequencies

Loyalty if service is good

Observed N Expected N Residual

1 78 33.3 44.7

2 21 33.3 -12.3

3 1 33.3 -32.3

Total 100

Inference:

The observed mean value is 1.23 and also the observed significance value of 0.000 is lesser

than tested significance value at α=0.05. Hence, null hypothesis is rejected and alternative

hypothesis is accepted.

It can be concluded by saying that retailers should take steps to increase customer satisfaction

level in order to attain their loyalty which have higher chances of leading to increased sales

and profit.

Test Statistics

loyaltyifservic

e

Chi-Square 95.780a

df 2

Asymp. Sig. .000

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Major findings:

1. Among 100 customers surveyed more than 60% of them prefer shopping at a

hypermarket compared to a convenience store or a kirana store.

2. Among the various customer service attributes such as product availability, display,

service at billing counter, payment options, etc., personal assistance to the customer is

the most important attribute.

3. Close to 47% of the respondents say that their expected service levels do not match

with the actual service provided to them by the retailer.

4. If good customer service is given, more than 78% of the respondents agree to say that

they would be loyal to the store.

5. More than 66% of the respondents say that the promotional tools such as Print Ads,

posters, banners, etc were somewhat useful in making purchase decisions.

6. More than 60% of the respondents say that the overall satisfaction level of the store is

very poor. This is again tested and proved on hypothesis test.

7. From the hypothesis test, it is found that customer service like personal assistance is

the key attribute to customers while making his purchase decisions.

8. From the chi-squared test, it is found that there exists a significant difference between

expected and actual service levels in the stores.

9. Chi-squared test that loyalty of customers is highly dependent on customer

satisfaction level in the store.

Suggestions:

1. Personal assistance to customers in the store is a very important customer service

attribute and hence retailers should take relevant measures to ensure of its best

assistance.

2. Majority of the customers found a mismatch between the expected service levels and

the actual (perceived) service level provided by the retailers. Hence measures should

be taken to minimize this gap by implementing standard operating procedures of

services that enhances satisfaction levels.

3. Retailers should try to improve on customer services in order to generate customer

loyalty.

4. Promotional tools such as Print Ads, Banners, Posters, Danglers and TV Ads should

be adequately used to help the customers in their purchase decision making process.

5. By taking above measures the retailer can help in increasing customer satisfaction

level.

6. The retailer strategized to provide many other services such as easy payment options,

returns and claims, free shipping and delivery, easy ordering and tracking points, rest

rooms, salesperson assistance, store ambience, parking, etc. to increase satisfaction

levels.

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Conclusion:

1. It can be concluded from the study that personal assistance is the most important

service attribute that helps in customers’ buying decision making process.

2. It can be concluded from chi squared test that loyalty of customers is highly

dependent on customers’ satisfaction level in the store and henceforth retailer should

take every step possible to increase satisfaction level in order to generate customer

loyalty.

3. The retailer believes that retail mix variables such as store layout, atmosphere,

assortment of products and promotion tools, pricing are highly important in order to

increase customer satisfaction level while shopping in the store.

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