Academy of Marketing Studies Journal (Print ISSN: 1095-6298; Online ISSN: 1528-2678)

Research Article: 2022 Vol: 26 Issue: 6

Impact of Organised Retail Marketing on Customer Satisfaction

Daniel Pilli, Malla Reddy University

Soujanya Konka, KLEF Green Fields

Citation Information: Pilli, D. & Konka, S. (2022). Impact of organized retail marketing on customer satisfaction. Academy of Marketing Studies Journal, 26(6), 1-13.

Abstract

In the current scenario of business, the retail industry at the Indian and global level is witnessing a lot of transition. Some economies excelled and some struggled. Technological advances transformed business practices. New emergent retailers have introduced innovate business models and new infrastructure. The novel practices of business had a wide spread effects on the retail industry. India today consists of dynamic consumers who are demanding and knowledgeable, increased levels of consumption and increasing population base. The retailer has to therefore, constantly innovate to satisfy the changing needs of the customers.

Keywords

Customer Satisfaction, Organised Retailing, Customer Preferences and Buying Patterns

Introduction

Indian retail industry was mostly unorganized, nascent and highly fragmented in nature. This may be true when it has been compared with the developed nations. Though it is in early stages of development many products are sold in this industry. The retailer is succeeding to reach every corner in the country with their products. Retail industry is still having a large market potential to target. In the coming days retailing will develop as one of the biggest and important industries in India. Organized and unorganized retailing in India is having their own merits and demerits but both run next to each other in a different way to satisfy the customers. With the increasing number of aspiring middle class, favourable demographics, increasing urbanization, increasing number of nuclear families, rising affluence amid consumers, growing preferences for branded products, new policy reforms had captured the attention of both national and global companies to show interest to make an entry into India retail market.

Customer satisfaction plays a major role in determining the success of any business organization. The whole business will be centered on the customer and the business firms will continuously strive in developing products and services that will meet the needs and wants of the customers and to improve their performance A satisfied customer will recommend the company and its products and services to his known contacts such as friends, relatives, colleagues and neighbours where as a dissatisfied customer will be very damaging to the organization as his bad talk about the company may affect the valuable customers. Hence keeping in view the significance of customer satisfaction and the need to understand customer preferences and buying patterns an effort was done to examine the influence of organised retail marketing on satisfaction of the customers of Spencer’s Retail Outlets in Guntur District, Andhra Pradesh.

Review of Literature

Clark & Hwang (2000) attributes such as helpfulness, friendliness, politeness and number of salespeople, store layout, ease in finding things, cleanliness, goods assortment , quality and price levels, merchandise selection, fashionableness, willing to exchange, credit and charge account, value for money, special sales, advertising and location etc. affect customer satisfaction., Babakus et al. (2004) service quality and the merchandise had an impact on performance of the store. Martenson (2007) brand name of the store was important for customer satisfaction, Ivan-Damir and Sonja Radas (2006) satisfactory buying, size of the family and their age favourably influence loyalty of the customers. Females had comparatively greater loyalty than men, and ‘proximate customer’ showed greater loyalty relatively than the ‘distant shopper and income had not influenced conative loyalty behavior, Baseer & Prabha (2007) there were many opportunities for retailing in India, Anbalagan & Gunasekaran (2006) market liberalisation and increasingly assertive consumers were sowing the seeds for retail transformation , Lu and Seock (2008) there was a positive and significant relationship among the various dimensions of service quality with satisfaction and loyalty of the customers, Khare & Rakesh (2010) highlighted that there was an exponential development of organised retailing in India, Devgan & Kaur (2010) factors such as increasing per capita income, emergence of nuclear families and entry of multinational companies created immense opportunities for the growth of organized retail sector in India, Nisha Rathore (2010) customer behavior in retailing was more unexpected & volatile than ever before, Hansen et al. (2011), consumers who assign high value to quality and price were likely to be more satisfied, Ian Grace. B. Lukoma (2011) Location of the store, courtesy of the staff and Reliability of supermarkets were the key aspects that drive satisfaction of the customers, Thiruvenkadam & Panchanatham (2011) customers differ in selecting a store based on their patronage factors of a store, Neetu & Pawan (2012) organized and unorganized retail sectors in Indian can co-exist and flourish together, Singh & Pandey (2013) Urban people were enjoying “Shopptainment” because of transformation of traditional retailing to organized retailing, Dineshkumar & Vikkraman (2012) revealed that the customers preferred organized retailing as compared to unorganized retailing, due to which the organized retailing had become a biggest challenge to the unorganized outlets, Sanjay & Anoop (2012) modern retailing was not a threat to independent Mom and Pop stores, Lakshmi Narayana et al. (2013) Proximity, goodwill, credit sales, bargaining, loose items, convenient timings, and home delivery were found to be the factors making the customers to buy from the unorganized retail shops, Rana, et al. (2014) responsiveness and product quality were considered as most important to customers followed by pricing policies and physical design, Rashid & Rokade (2015) composite variables like environment, comfort, responsive, tangibles, empathy, convenience, assurance and efficiency influence customer's perception, Md Alauddin (2016) observed a gap between the expectations and perceptions of the customers towards organised retailing in Bangladesh, Kumar & Devi (2016) organised retail stores when compared with the conventional stores were effective in maintaining the POP (Point Of Purchase) and communication offers to the customers through advertisements, Brar et al. (2018) retail was growing rapidly and emerged as the most vibrant industry contributing to the GDP and employment of the country.

Research Gap

Though several studies had attempted to identify the attributes of organized retailing that influence customer satisfaction, the impact of those attributes on customer satisfaction was not extensively studied. Not many studies on organized retailing were conducted in the sun rising state of Andhra Pradesh in General and Guntur District in Particular, where there is lot of untapped market. Studies on various stores like Big Bazaar, Reliance mart, Metro mall were done. No studies were focused on Spencer’s which is one of the oldest retail formats in India and first of its kind in starting grocery chain in India. Very few studies were done on identifying the problems faced by the retail shoppers. Customer preferences and buying patterns, Customer satisfaction and problems of customers were studied individually. But studying all these things together is imperative to the marketers which help them in formulating their strategies. Therefore, the present study was an attempt to bridge this gap.

Objectives of The Study

The present research was undertaken with the following objectives.

1. To analyse the customer preferences and buying patterns towards organized retail marketing with reference
Spencer’s, Guntur District.

2. To explore the various attributes of organized retail marketing and their impact on satisfaction of the
customers.

3. To analyse the variance in customer preferences and buying patterns of varied demographic profiles of the
customers.

4. To identify the problems and shortcomings in service if any, with a view to improve the quality of
performance of Spencer’s.

The following hypotheses were formulated for conducting the present research.

H1: There is a significant impact of product attributes on customer satisfaction

H2: There is a significant impact of store attributes on satisfaction of the customers.

H3: There is a significant impact of promotional offers on satisfaction of the customers

H4: There is a significant impact of behaviour of sales personnel on customer satisfaction.

Methodology

The customers who regularly and occasionally make purchases from Spencer’s retail outlets located in Guntur District were the population of the current research. The researcher has selected spencer’s retail outlet in Guntur district as sampling unit for the present research study. The mall culture in Guntur is in evolutionary stage. Spencer’s which is one of the oldest retail formats in India has introduced the joy of hyper store shopping experience to the customers of Guntur since 2010 and has been successfully running the store till today. So, the researcher had made an attempt to study the preferences and buying patterns, factors of organised retail marketing that influence customer satisfaction with reference to spencer’s in Guntur, Andhra Pradesh Times (2003).

About Spencer’s

Spencer’s retail outlet has been a part of the Indian retail landscape since 1863. Right from the time of launch Spencer’s has been a consumer-focused brand which has been continuously inventing, pioneering formats aimed at the satisfaction of the customers. In Indian grocery business Spencer’s since its inception has been a recognized and respected player with its quality goods and services catering the needs of upper middle class. It has continually helped reshape the retail landscape in India by making shopping more convenient and enjoyable activity for the consumer.

A total of 915 questionnaires were distributed out of which 664 questionnaires were returned filled up in all respects. From the information provided by the managements of the outlets it was estimated that approximately 3000 customers visit the stores in a day Therefore 22.13 % of the population has taken as the sample. The sample for the present study was drawn by using Convenience Sampling method as the researcher finds it easy and convenient to take exit interviews from the customers who are leaving the store.

The required data was obtained from both the primary and secondary sources of data. Primary data was collected with the help of observation method and survey method. Questionnaire consisted of structured questions (close ended). Questions used in the study were brief, comprehensive and the use of technical terms was avoided to increase understanding and interest of the respondents Anić & Radas (2006).

Questionnaire

Questionnaire consists of four parts.

Part I- Provides Demographic information.

Part II- Obtains views and opinions on customer preferences and buying patterns towards organized
retail marketing.

Part III- Explore various attributes that influence satisfaction of the customers.

Part IV- Analyse the problems encountered by the customers.

The secondary data was obtained from Books, Journals, Periodicals, Abstracts, Directories, and Research reports, Conference Papers, Web Sites, Newspapers and Magazines.

Pilot Study

The researcher had conducted a preliminary survey with a sample of 50 respondents to narrow down the problem. The customers of Spencer’s retail outlets were selected randomly and were administered the questionnaire. The pilot study indicated some minor problems and certain additions and deletions were made. Language and wordings of some items in the questionnaire were modified to make it easier and more understandable to the respondents Lu & Lukoma (2011).

Reliability Analysis of The Data

Ideally, the Cronbach‘s alpha should be in between 0.5 and 1.Cornbachs α coefficient was 0.818, 0.867,0.785 respectively for the sales used in the study. Since the values were greater than 0.5 the data was more consistent Lu & Seoak (2018) Table 1.

Table 1 Cronbachs Alphas for Scales Used in the Present Study
Scale Cronbach Alpha
Customer preferences 0.818
Attributes of oranised retailing 0.867
Overall instrument 0.785

Analysis of Data and Interpretation of Results

Factor Analysis was used to identify the factors contributing for satisfaction of the customers. The impact of factors of product, store, promotional offers, and behavior of sales personnel on customer satisfaction was examined with the help of multiple regression analysis. MANOVA (Multiple Analysis of Variance) was computed to find whether there was any variance in the levels of customer satisfaction experienced by the respondents belonging to different demographic variables. The results of the analysis is as follows Table 2 and 3.

Table 2 Demographic Profile of the Respondents
PARTICULARS NO.OF RESPONDENTS PERCENTAGE
AGE
25 and below 275 41.4
26-35 years 296 44.6
36-45 years 58 8.7
Age above 45 years 35 5.3
GENDER
Male 419 63.1
Female 245 36.9
MARITAL STATUS
Married 319 48.0
Unmarried 332 50.0
Divorced 3 .5
Widowed 10 1.5
EDUCATION
School Level 132 19.9
Graduate 365 55.0
ITI/Diploma 45 6.8
Post Graduate 122 18.4
Student 139 20.9
OCCUPATION
Professional 283 42.6
Business 100 15.1
Housewife 85 12.8
Unemployed 38 5.7
Agriculture/Farming 19 2.9
INCOME
Below Rs. 5,000 23 3.5
Between Rs. 5,000 - Rs 10,000 230 34.6
Between Rs. 10,000 - Rs. 15,000 137 20.6
Between Rs. 15,000 - Rs. 20,000 122 18.4
Above Rs. 20,000 152 22.9
Table 3 Analysis of Customer Preferences AND Buying Patterns Towards Organised Retailing
PARTICULARS NO.OF RESPONDENTS PERCENTAGE
TYPE OF RETAIL FORMAT
Malls 376 56.6
Convenience Stores 36 5.4
Departmental Stores 20 3.0
Hyper/ Super Markets 35 5.3
Discount Stores 105 15.8
Speciality Stores 92 13.9
MEANS TO KNOW ABOUT SPENCER’S
TV Commercials and News Papers 80 12
Hoardings Stores 45 6.8
Leaf Lets 94 14.2
Word of mouth 318 47.9
Inflatable’s 127 19.1
TV Commercials and News Papers 80 12
REASONS TO SHOP FROM SPENCER’S
Economy 63 9.5
Life Style 73 11
Status Related Satisfaction 141 21.2
Location 144 21.7
Family/ Friends 243 36.6
PURPOSE OF VISITING RETAIL OUTLET
Shopping only 131 19.7
Entertainment only 80 12.1
Shopping and Entertainment 147 22.1
Window Shopping 95 14.3
Enjoying Food Courts 211 31.8
FREQUENCY OF SHOPPING
Daily 39 5.9
Weekly 247 37.2
Fortnightly 134 20.2
Monthly 235 35.3
Once in six months 9 1.4
PREFERRED DAY OF SHOPPINGINCOME
Any week day 82 12.3
Weekends 285 42.9
Special occasion 216 32.5
On any day 81 12.2
PREFERRED TIME OF SHOPPING
Morning 70 10.5
Afternoon 169 25.4
Evening 135 47.4
Any time 110 16.6
TIME SPENT FOR SHOPPING
Less than 1 hour 160 24.1
Between 1-2 hours 306 46.1
Between 2-3 hours 120 18.1
More than 3 hours 78 11.7
AVERAGE MONTHLY PURCHASE
Below Rs 1000 41 6.2
Between Rs 1000-2000 160 24.1
Between Rs 2000-3000 209 31.5
Between Rs 3000- 4000 198 29.9
Above Rs 5000 56 8.4
SHOPPING COMPANION
Friends 129 19.4
Relatives 34 5.1
Colleagues 75 11.3
Family members 233 35.1
Alone 193 29.1
PREFERENCE TO SHOP WITH OTHERS
Provides financial support 61 9.2
Gives second opinion 38 5.7
Their choice suit to me best 56 8.4
Company 282 42.5
Information and reviews 227 34.2
FACTORS INFLUENCING PURCHASE DECISION
Self 55 8.3
Family members 180 27.1
Friends 265 39.9
Relatives 50 7.5
Advertisements and offers 114 17.2
SPENDING ON ORGANISED RETAILING
Increased 420 63.3
Decreased 134 20.2
No change 110 16.5
KIND OF GOODS PREFERRED
Convenience goods 405 60.9
Shopping goods 259 39.01

Analysis of Customer Preferences and Buying Patterns Towards Organised Retailing

Analysis of Impact of Attributes of Organised Retail Marketing on Customer Satisfaction

Factor analysis is used for defining the factors affecting customer satisfaction Table 4 -7.

Table : 4 Factor 1 Product Attributes
Factors of Product Factor Loadings Mean Scores Standard Deviation
Quality 0.406 3.93 0.570
Variety 0.571 3.64 0.679
Latest products 0.515 3.39 0.714
Branded products 0.404 3.53 0.684
Value of merchandise 0.544 3.63 0.76
Packaging 0.669 3.47 0.912
Table 5 Factor II: Store Attributes
Factors of Store Factor Loadings Mean Scores Standard Deviation
Location 0.338 3.68 0.694
Stacking of the products 0.255 3.57 0.638
Convenient billing counters 0.293 3.50 0.626
Entrance and walk ways 0.455 3.58 0.696
One-stop convenience 0.347 3.49 0.692
Ambience 0.256 3.33 0.703
Spacious shop floor 0.315 3.25 0.774
Trolleys/Escalators 0.581 2.96 1.047
Good food court 0.572 3.12 0.861
Play station for kids 0.628 3.08 0.874
Sufficient dressing rooms 0.516 3.26 0.742
Shelf/Rack system 0.389 3.34 0.778
Table 6 Factor III: Sales Promotion
Sales Promotion Factor
Loadings
Mean
Scores
Standard
Deviation
Offers 0.393 3.58 0.695
Awareness of offers 0.484 3.34 0.682
Frequency of promotional offers 0.349 3.19 0.624
Redemption of gift voucher/ Discount coupon 0.469 3.46 0.682
Customer membership/loyalty programmes 0.427 3.35 0.759
Table 7 Factor IV: Behaviour Of Sales Personnel
Behaviour of Sales Personnel Factor
Loadings
Mean
Scores
Standard
Deviation
Attention 0.384 3.50 0.749
Sales presentations/ Demonstrations 0.529 3.35 0.748
Solving customer problems 0.446 3.06 0.757
Willing to handle customer queries/ Requests 0.497 3.26 0.772
Knowledge of staff about store policies 0.425 3.12 0.737
Staff etiquettes 0.462 3.04 0.85

Impact of organized retail marketing on Customer Satisfaction Table 8 and 9.

Table 8 Regression Analysis
Variables Entered/Removeda
Model Variables Entered Variables Removed Method
1 Product Attributes
Store Attributes
Sales Promotion
Behaviour of Sales Personnel b
. Enter
Table: 9 Model Summaryb
Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson
1 0.759a 0.576 0.573 1.0757084 0.099

From the above table, it is evident that there is a multiple correlation value of 0.759, indicates a strong correlation with the model variables. Particularly, the model could explain about 57.6% variance in the dependent variable Table 10 - 14.

Table 10 Anovaa
Model Sum of Squares Df Mean Square F Sig.
1 Regression 1035.007 4 258.752 223.612 0.000b
Residual 762.561 659 1.157    
Total 1797.568 663      
 Table 11 Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 4.823 0.456   10.586 0.000    
Product Attributes 0.547 0.046 1.022 11.877 0.000 0.087 11.503
Store Attributes 0.024 0.054 0.166 0.441 0.659 0.005 218.703
Sales Promotion 0.273 0.104 0.742 2.619 0.009 0.008 124.611
Behaviour of Sales Personnel 0.424 0.107 1.224 3.979 0.000 0.007 146.968
Table 12 Model Fitness
Unstandardized Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
(Constant)- 3.316 0.393 8.427 0.000
Quality of products -0.101 0.046 -0.086 -2.215 0.027
Variety of products 0.021 0.042 0.021 0.489 0.625
Unique and latest products -0.049 0.039 -0.053 -1.281 0.201
Branded products -0.053 0.038 -0.055 -1.388 0.166
Value of merchandise for the money 0.066 0.037 0.074 1.795 0.073
Location of the store 0.092 0.037 0.095 2.502 0.013
Stacking of the products 0.037 0.040 0.035 0.932 0.351
Sufficient and convenient billing counters -0.013 0.043 -0.012 -0.303 0.762
Entrance and walk ways -0.054 0.038 -0.056 -1.430 0.153
One-stop convenience 0.041 0.037 0.042 1.103 0.270
Ambience 0.098 0.035 0.103 2.780 0.006
Spacious shop floor 0.018 0.033 0.021 0.537 0.591
Trolleys/Escalators -0.123 0.030 -0.192 -4.150 0.000
Good food court -0.066 0.033 -0.085 -1.989 0.047
Play station for kids -0.033 0.033 -0.043 -1.002 0.317
Sufficient dressing rooms -0.029 0.036 -0.032 -0.791 0.429
Shelf/Rack system -0.009 0.034 -0.010 -0.261 0.794
Parking facility 0.046 0.034 0.064 1.349 0.178
Packaging -0.093 0.035 -0.127 -2.683 0.007
Promotional offers -0.059 0.040 -0.061 -1.476 0.140
Awareness of offers 0.140 0.040 0.143 3.489 0.001
Frequency of promotional offers -0.139 0.043 -0.129 -3.193 0.001
Redemption of gift voucher/ Discount coupon 0.014 0.040 0.015 0.363 0.716
Customer membership/loyalty programmes 0.045 0.036 0.051 1.251 0.211
Personal attention 0.067 0.036 0.075 1.839 0.066
Sales presentations/ Demonstrations -0.002 0.037 -0.003 -0.062 0.950
Solving customer problems 0.153 0.037 0.173 4.120 0.000
Willing to handle customer queries / Requests 0.073 0.035 0.084 2.078 0.038
Knowledge of staff about store policies 0.042 0.031 0.047 1.824 0.167
Staff etiquettes 0.065 0.039 0.089 2.130 0.146
Table 13 Comparison of Satisfaction of Customers with Respect to Various Attributes of Organized Retail Marketing Across Different Demographics Factors
    Product attribute satisfaction Store attribute satisfaction Sales promotion satisfaction Behaviour of sales personnel satisfaction
  AGE Lambda
F value
p-value
0.981
4.136
0.006
0.988
2.648
0.048
0.998
0.491
0.612
0.987
2.198
0.068
Gender Lambda
F value
p-value
0.998
0.52
0.669
0.996
0.799
0.495
0.994
1.813
0.164
0.995
0.812
0.518
Marital status Lambda
F value
p-value
0.999
0.144
0.933
0.992
1.691
0.168
0.996
1.216
0.297
0.995
0.764
0.549
Educational Qualification Lambda
F value
p-value
0.979
4.7
0.003
0.954
10.498
0.0001
0.99
3.165
0.053
0.995
0.852
0.492
Occupation Lambda
F value
p-value
0.994
1.286
0.278
0.999
0.280
0.840
0.996
1.302
0.273
0.993
1.194
0.011
Monthly Income Lambda
F value
p-value
0.996
0.964
0.409
0.973
6.064
0.002
0.997
0.871
0.419
0.996
0.615
0.001
Table 14 Analysis of Customer Problems and Shortcomings
PARTICULARS NO.OF RESPONDENTS PERCENTAGE
FREQUENCY OF PROBLEMS FACED BY CUSTOMERS
Never 311 46.8
Rarely 109 16.4
Occasionally 93 14.0
Often 104 15.7
Always 47 7.1
DIFFERENT TYPES OF PROBLEMS FACED AT SPENCER’S
Non – Availability of Products 137 20.63
Non- response from staff 135 20.33
More than reasonable price 98 14.75
Announced offers are not given 91 13.70
None 203 30.57
TIME TAKEN TO RESPOND TO CUSTOMERS’ PROBLEMS
Immediate 31 7.5
Less than a day 59 14.2
2-4 days 169 40.6
One week 145 34.9
More than one week 12 2.9
OPINION ON VISITING SPENCER’S AGAIN
Very unlikely 7 1.1
Not so likely 31 4.7
Neutral 215 32.4
Very likely 275 41.4
Most likely 136 20.5
OPINION ON RECOMMENDING SPENCER’S TO FRIENDS/ RELATIVES
Never 1 0.2
Rarely 106 16.0
Occasionally 127 19.1
Often 184 27.7
Always 246 37.0
OVERALL SATISFACTION WITH SPENCER’S
Highly Dissatisfied 2 0.3
Dissatisfied 29 4.4
Neutral 218 32.8
Satisfied 378 56.9
Highly Satisfied 37 5.6

The model is significant as p-value for the model fitness is 0.001 < 0.05.

Major Findings of The Study

➢ Most of the customers prefer shopping malls to buy the products and services and expressed that their spending on the organized retailing was increased and also expressed that they prefer convenience goods from these stores.

➢ Customers expressed that they come to know about the Spence’s retail outlets from the good word of mouth of the satisfied customers and opined that they prefer to shop from Spencer’s retail outlets as their friends and family members referred the store.

Majority of the customers visit the Spencer’s retail outlets to enjoy the food courts and said that they visit the shop once in a week and prefer to shop in the weekends.

➢ Most of the customers expressed that they prefer evening time for shopping and spend between 1-2 hours for shopping. It was clear that most of the customers spend between Rs 2,000 – Rs.3, 000 for the purpose of shopping.

➢ Majority of the customers were interested to shop with their family members as they give company during shopping and influence their purchase decision.

➢ From the factors analysis, results indicated that quality of products, variety of products, and value of merchandise for the money were the major product factors that contributed for the customer satisfaction. The store attributes that contributed for customer satisfaction were location of the store, stacking of the products, entrance and walk ways etc. The factors of sales promotion that impacted customer satisfaction includes promotional offers, redemption of gift voucher, customer membership/ loyalty programmes and etc. And the attributes related to the behavior of sales personnel that affected customer satisfaction were personal attention, sales demonstrations and willingness to handle queries.

➢ Multiple Regression Analysis showed that product, store, sales promotion, behaviour of sales Personnel found to have an impact on the overall customer satisfaction. Among all, the attributes of product are impacting customer satisfaction more followed by attributes of sales personnel, sales promotion and store attributes.

➢ Customer satisfaction was differed among the respondents belonging to different education qualifications. The respondents belonging to the qualification of post-graduation and schooling are getting impacted more towards product attributes and the respondents belonging to qualification of graduation and schooling are getting impacted towards store attributes.

➢ A significant variance was found in satisfaction levels of the respondents belonging to different occupations towards attributes of behaviour of the sales personnel. It was found that the students are getting more influenced toward the behaviour of sales personnel.

➢ Variance was found in the level of customer satisfaction among the customers belonging to different income levels. From the results it was found that there was a significant variance in the satisfaction levels of towards store attributes and attributes of sales personnel based on income. The respondents belonging to the income groups of Rs 5000 – 10000, Rs10,000-15000 are getting more affected with the attributes of store. The satisfaction of the respondents belonging to the income group of 15,000-20,000 are most likely to get influenced by the attributes of sales personnel.

➢ Non-availability of the products and non-response of the staff were the major problems that the customers faced while shopping at Spencer’s. The problems the customers faced at the time of their shopping were found to be rectified within 2-4 days. Majority (56.9%) of the customers were satisfied with the Spencer’s Retail outlets. Most of the Customers were very likely to visit Spencer’s Retail outlets again. Majority of the customers were interested to recommend the store to their friend and relatives.

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Received: 12-Jul-2022, Manuscript No. AMSJ-22-12321; Editor assigned: 14-Jul-2022, PreQC No. AMSJ-22-12321(PQ); Reviewed: 28- Aug-2022, QC No. AMSJ-22-12321; Revised: 30-Aug-2022, Manuscript No. AMSJ-22-12321(R); Published: 20-Sep-2022

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