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Emerging Issues in Organized Retailing
(A study conducted in Varanasi)
Dr. D B Singh, Director, RSMT, U P College Campus, Varanasi
1.0 Retailing: An Introduction
Retailing is the product or service distribution process, which entails the merchandise selling
activities directly to end consumer. Thus retailing involves all the activities from the point of
purchase to point of use. Retailing, is essentially selling of merchandise / services to the
customers / consumers. In other words it is the selling of goods / services to comparatively
larger number of customers. However in retailing, the transfer of value must take place between
the concerned parties. Thus the retail may be considered as selling of goods / services to end
users, not for reselling, but for the use and consumption by the end user / consumer / customer.
Retailers may be considered as the last value point in the value chain that starts at the
manufacturer and ends at customers. Retailing is a specialized activity in a sense that it requires
special skills / resources to have proper interaction with the end customers. It allows the
manufacturers to concentrate on manufacturing the products or producing the services without
bothering on the tedious efforts to be invested on to interact with the consumers. The retailers
therefore would have to purchase the goods and services for the use of consumers. This is the
reason that retailers employ sales people and retailing happens to be very important activity of
marketing. Retailers display about the features of the goods / service its price and quantity etc.
The Indian retail industry especially in organized sector has emerged as the most potent and fast-
moving industry. The retail industry is all set to touch US $1 trillion mark by the end of 2020.
According to Department of Industrial Policies and Promotion the FDI equity worth US$ 1.66
billion during April 2000–March 2019 has been there in India. It is expected that by 2021 the
traditional retail (Non-Organized sector) will retain a lion’s market share of 75%, whereas
organized retail sector will attain 18% of market share and e-commerce may touch 7% of the
overall market share. Experts believe that the long-term perspective for retail industry is
encouraging, as it is well supported by increasing incomes, favorable lifestyles and
demographics, interest and investment of foreign players in Indian market, and the winds of
urbanization.
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2.0 Organized and Non-organized Retailing
The retailing can be divided into two groups:
1) Organized Retailing
2) Non-organized Retailing
Organized retailing for the purpose of present study refers to selling / commercial activities of a
retailer, who is registered for corporate tax, GST and income tax, etc. Such retailers may include
the company owned retail outlets and retail chains. Non-organized retailing, for the purpose of
present study, is considered as the traditional shops in the marketplace, such as, kirana shops,
general stores, beetle shops and pavement vendors etc. It is an astonishing fact that despite of
huge population and a growing middle class segment, huge market share to the tune of 91% is
owned by non-organized retailers or Kirana Shops. As a consequence organized retail segment’s
share is therefore miniscule and can be said to have a mere 9% market share. As per the latest
report conducted jointly by Deloitte and Retailers Association of India, since the Internet density
has increased in India and as a result more number of global retailers have started operations in
the country, the market share of organized retail may be doubled by 2021.
In India the retail sector is the second most employment provider after Agriculture. Therefore
Indian retail sector has got tremendous opportunities both for the job seekers and the business
units. With the Indian economy taking positive strides specially post 1990 and conducive to the
FDIs we may expect more investment in this sector. The key players in the organized retail have
responded positively to it and have invested in the retail segment. Now the organized retailers are
taking good amount of risks and are moving to smaller towns even to open organized retail
outlets. Around a decade ago such organized retailing was seen in metro cities and state capitals.
But now the towns like Varanasi, Bhadohi, Jaunpur , Faizabad and Sultanpur are witnessing the
retail outlets. It was this background that we thought to conduct a market suvey to fathom the
mood of the consumers / customers on a variety of issues pertaining to organized retailing.
3.0 Research Design
The present endeavor is an exploratory research which attempts to assess and examine the
customers’ perception about organized and non-organized retailing. The study also aims at
searching for some solutions so as to improve the present situation of organized retailing and
provide a guideline to industry for better functioning. This research design contains answers to
the following questions:
What the study is about and the types of data that are needed?
The study attempts to find out customer perception about the organized retailing in Varanasi. We
have included the customers / respondents from various age groups, income level and education
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level in this survey. Because of resource constraints, we have included only following retail
outlets.
1. Jalans
2. Big Bazar
3. Vishal Mega Mart
4. V- Mart
5. Spencer’s
6. Sunrise Food and Shoppe
7. Any Other retailer (as respondents mention)
Why the study is being made?
As mentioned in earlier paragraphs, there is tremendous potential of organized retailing in a huge
country like India. India a big market and therefore it may attract many global companies in the
retail sector as well. Given the fact that organized retailing consists of on 10-12% market share,
there is tremendous potential in this sector. The main objective of this survey based study is to
examine the perception of the consumers towards retail industry in general and organized
retailing in particular. We have conducted in Varanasi so that we can understand the consumer
behavior of the residents of Varanasi towards organized retailing. It is expected that the study
would open new vistas of information to be used in furtherance of research on the issues. It
would also discover newer facts, which can be of great help to explore the microscopic research
at later stage.
Where the needed data can be found?
The data is gathered by means of a structured questionnaire. This has helped significantly in
recording the responses. However the responses have been taken from the respondents in open
environment. There have been open ended and close ended questions in the questionnaire.
In what areas the study will be carried out?
As already mentioned the study has been conducted in Varanasi. Varanasi is also known as
Benares or Banaras or Kashi. It is considered to be the ancient city of the world and has a
spread from the banks of holy river Ganga to river Varuna. It is some 280 km away from
Lucknow, the capital of Uttar Pradesh. Varanasi is considered to be the most sacred religious
place by Hindus and world famous Sri Kashi Viswanath Temple is there. Varanasi is located
along NH 2 and there is very good connectivity through Roadways, Railways and Airways.
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When or what periods of time the study will conclude?
The research work is based on analysis of the views and attitudes of the respondents. We have
collected the data as per questionnaire. We have devoted ample time to collect the data.
Approximately one month time was spent in the data collection.
How much material will be needed?
We have contacted 100 respondents in Varanasi. The respondents were taken from various
segments. The various segments that we considered are Education, Gender, Age Group,
Occupation, and Income (in Rs.).
What bases of selection will be used?
We have used simple random sampling as the population under study is homogeneous to some
extent. We are using simple random sampling so that we may use normal statistic or z variate
without any difficulty.
What techniques data collection will be adopted?
The data has been gathered by means of Questionnaire. For the sake of present study, we have
made concerted efforts to make data collection process quite structured. The questions prescribed
in the questionnaire are structured and have been put in sequential manner so that specific
answers to specific questions could be had. This helps in the further mathematical and subjective
analysis of questionnaire. Further in the data collection method both methods viz. Interview and
the Questionnaire have been used so that the further discussions, if any could also take place.
4.0 Hypotheses
The various hypotheses which have been tested under the study are mentioned below.
Null Hypothesis H001
Organized retailers have larger inventories of groceries than small grocery shops
Alternative Hypothesis H101
Organized retailers don’t have larger inventories of groceries than small grocery shops
Null Hypothesis H002
Organized retailers have huge space and they are not crowded
Alternative Hypothesis H102
Organized retailers don’t have huge space and they are crowded
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Null Hypothesis H003
Customers visit organized retailer whenever they need some enjoyment.
Alternative Hypothesis H103
Customers don’t visit organized retailer for the enjoyment.
Null Hypothesis H004
Customers visit only one organized retailer or bazaar.
Alternative Hypothesis H104
Customers visit more than one organized retailer or bazaar
Null Hypothesis H005
Customers visit the organized retailer because it works ethically about products/services.
Alternative Hypothesis H105
Customers consider the organized retailer as unethical about their products/services.
Null Hypothesis H006
Customers visit the organized retailer because of the freshness of grocery
Alternative Hypothesis H106
Customers don’t visit the organized retailer because the grocery items are not fresh
Null Hypothesis H007
Customers visit organized retailer for the time pass.
Alternative Hypothesis H107
Customers don’t visit organized retailer for the time pass.
Null Hypothesis H008
Customers visit the particular organized retailer because it gives discounts on MRP.
Alternative Hypothesis H108
Customers don’t visit the particular organized retailer for the discounts on MRP
Null Hypothesis H009
Customers visit organized retailer because their prices are economical and affordable
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Alternative Hypothesis H109
Customers visit organized retailer because their prices are economical and affordable
Null Hypothesis H010
Customers visit the organized retailer because of new price offers / discounts offered
Alternative Hypothesis H110
Customers don’t visit the organized retailer because of new price offers / discounts offered
Null Hypothesis H011
Customers visit the organized retailer because it gives special discounts at the time of festival
Alternative Hypothesis H111
Customers don’t visit the organized retailer because of special discounts at the time of festival
5.0 Data Collection and Observation
1. Gender of Respondents: We have collected information from 65 Females and 35 Males.
They were served the questionnaire and asked to give their opinion.
65
35
Gender (No. of Respondents)
Females
Males
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2. Educational Level of the Respondents: We have contacted the literate persons. The
education level of the respondents is displayed in pie chart as under.
3. Income Level of the Respondents: We have contacted respondents from different
income level segments so as to understand the issues in a better way.
4. Preference of Respondents on Organized Retailers: The respondents were asked to
give their preference for the organized retailers they visit. We had given limited options,
yet they could have specified their own choice. The data so collected is given in Table 1
75
214
Educational level of trhe respondents
Post Graduates
Graduates
Undergraduate
44
1432
34
3
Monthly Income Level of Respondents
Less Than 15000
15 k - 25 k
25 k - 35 k
35 k - 45 k
45 k - 60 k
More than 60 k
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Table1: Preference of Respondents on Organized Retailers
Sl.
No.
Name of Retailer No of Respondents Total %age
Male Female
1 Jalans 9 21 30 20
2 Big Bazar 20 32 52 35
3 Vishal Mega Mart 6 11 17 11
4 V Mart 4 7 11 7
5 Spencer’s 7 12 19 13
6 Sunrise Food and
Shoppe
1 3 4 3
7 Others 6 11 17 11
Total 150 100
Data Observations:
1. More females (65%) in comparison to Males (35%) have been included. This may
introduce some bias in the final analysis / recommendations.
2. All the respondents have acquired Graduation / Post Graduation / Ph D Degrees. This
may also lead to some bias in the final recommendations. The respondents from other
educational backgrounds or the illiterate respondents have not been included.
3. As per the survey, Big Bazar is market leader followed by Jalans and Spenser’s. Vishal
Mega Mart, V Mart and Sunrise occupy next slot. The respondents have also preferred
other retailers such as Ganga, Patanjali, Pantaloon, Easy Day etc.
4. The first two observations can also be termed as main limitations of the present survey.
The final recommendations / inferences may also be affected by these factors.
20
3511
7
13
311
Preference of Respondents
Jalans
Big Bazar
Vishal Mega Mart
V Mart
Spencer's
Sunrise Food and Shoppe
Others
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6.0 Data Compilation
The respondents both males and females gave their opinions on different questions, as below.
Table 2: Mapping of Questionnaire With the Questions related to Customers’ Perception
Ques.
No.
Parameters Males (35) Females (65) Total
Yes %age Yes %age
1. Organized retailers have larger inventories of
groceries than small grocery shops
27 77 44 68 71
2. Organized retailers have huge space and they are
not crowded
29 83 39 60 68
3. Customers visit organized retailer whenever they
need some enjoyment
14 40 31 48 45
4. Customers visit only one organized retailer or
bazaar
18 51 33 51 51
5. Customers visit the organized retailer because it
works ethically about products/services
28 80 45 69 73
6. Customers visit the organized retailer because of
the freshness of grocery
31 88 44 68 75
7. Customers visit organized retailer for the time
pass
09 26 12 18 21
8. Customers visit the particular organized retailer
because it gives discounts on MRP
25 71 51 78 76
9. Customers visit organized retailer because their
prices are economical and affordable
33 94 48 74 81
10. Customers visit the organized retailer because of
new price offers / discounts offered
31 88 50 77 81
11. Customers visit the particular organized retailer
because it gives special discounts at the time of
festival
32 91 46 71 78
7.0 Data Analysis and Hypotheses Testing
The Z statistic has been used to test the difference between the population and sample mean
under the consideration of Null Hypothesis. In the present study there are 11 null hypotheses to
be tested against respective alternative hypotheses. We have hypothesized that the observed
differences are not statistically significant, that is, we have hypothesized that the observed
difference could easily have occurred by chance because of the sampling variation. Such a
hypothesis is called a ‘Null Hypothesis’. If there are evidences that lead us to reject the null
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hypothesis we will be able to infer that the observed difference is too large to have occurred by
chance due to sampling variation. This also leads us to infer that the observed difference must
reflect a real difference that exists in the population being studied. The Z test has been applied to
the composite data (responses of males and females both).
Testing of Null Hypothesis#1: Organized retailers have larger inventories of groceries in
comparison to smaller shops
This hypothesis is to be tested against the alternative hypothesis that the organized retailers have
huge space and they are not. We are using Z variable (Standard Normal Variate) as test Statistic.
We are using 50% as cutoff value. Suppose N represents the proportion of the respondents
saying that retailers have larger inventories of the groceries. Therefore we want to test:
H001: N0.5, Against Alternative hypothesis H101: N< 0.5
No. of respondents mentioning that the organized retailers have larger inventories = 71
No. of respondents admitting that organized retailers do not have larger inventories = 29
Total No. of respondents = 100
Fraction of the respondents saying that organized retailers have larger inventories = 0.71
Fraction of the respondents saying that organized retailers don’t have larger inventories = 0.29
Zcal = (0.71 - 0.5) X (100/ 0.5X 0.5)
= 0.21 X 20
= 4.2
Ztab at 10% level of significance is 1.645
Ztab at 5% level of significance is 1.96
Comments: Both the above values are less than the calculated value therefore the null
hypothesis in this case may be accepted. Therefore we can infer that the organized retailers have
larger inventories in comparison to smaller grocery shops.
Testing of Null Hypothesis#2: Organized retailers have huge space and are not crowded
This hypothesis is to be tested against the alternative hypothesis that the organized retailers do
not have huge space and they are not crowded. We are using Z variable (Standard Normal
Variate) as test Statistic. We are using 50% as cutoff value. Suppose N represents the proportion
of the respondents saying that organized retailers have huge space. Therefore we want to test:
H002: N0.5, Against Alternative hypothesis H102: N< 0.5
No. of respondents mentioning that the organized retailers have huge space = 68
No. of respondents admitting that organized retailers do not have huge space = 31
Total No. of respondents = 100
Fraction of the respondents saying that organized retailers have huge space = 0.68
Fraction of the respondents saying that organized retailers don’t have huge space = 0.31
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Zcal = (0.68 - 0.5) X (100/ 0.5X 0.5)
= 0.18 X 20
= 3.6
Ztab at 10% level of significance is 1.645
Ztab at 5% level of significance is 1.96
Comments: Both the above values are less than the calculated value therefore the null
hypothesis in this case may be accepted. Therefore we can infer that the organized retailers have
huge space and they are not crowded.
Testing of Null Hypothesis#3: Customers visit organized retailer whenever they need some
enjoyment
This hypothesis is to be tested against the alternative hypothesis that customers visit the
organized retailers whenever they need some enjoyment. We are using Z variable (Standard
Normal Variate) as test Statistic. We are using 50% as cutoff value. Suppose N represents the
proportion of the respondents saying that they visit for the enjoyment. Therefore we want to test:
H003: N0.5, Against Alternative hypothesis H103: N< 0.5
No. of respondents mentioning that they visit the retail outlets for enjoyment = 45
No. of respondents admitting that they don’t visit the retail outlets for enjoyment = 55
Total No. of respondents = 100
Fraction of the respondents saying that they visit the retail outlets for enjoyment = 0.45
Fraction of the respondents saying that they don’t visit the retail outlets for enjoyment = 0.55
Zcal = (0.45 - 0.5) X (100/ 0.5X 0.5)
= - 0.05 X 20
= - 1.0
Ztab at 10% level of significance is 1.645
Ztab at 5% level of significance is 1.96
Comments: Both the above values are more than the calculated value therefore the null
hypothesis in this case may be rejected. Therefore we can infer that the customers don’t visit the
organized retailers for enjoyment only.
Testing of Null Hypothesis#4: Customers visit only one organized retailer or bazaar
This hypothesis is to be tested against the alternative hypothesis that customers visit only a
specific retail outlet. We are using Z variable (Standard Normal Variate) as test Statistic. We are
using 50% as cutoff value. Suppose N represents the proportion of the respondents saying that
they visit only one retail outlet. Therefore we want to test:
H004: N0.5, Against Alternative hypothesis H104: N< 0.5
No. of respondents mentioning that they visit only a particular retail outlet = 51
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No. of respondents admitting that they don’t visit a specific retail outlet = 49
Total No. of respondents = 100
Fraction of the respondents saying that they visit only a particular retail outlet = 0.51
Fraction of the respondents saying that they don’t visit a specific retail outlet = 0.49
Zcal = (0.51 - 0.5) X (100/ 0.5X 0.5)
= 0.01 X 20
= 0.2
Ztab at 10% level of significance is 1.645
Ztab at 5% level of significance is 1.96
Comments: Both the above values are more than the calculated value therefore the null
hypothesis in this case may be rejected. Therefore we can infer that the customers don’t visit a
specific retail outlet.
Testing of Null Hypothesis#5: Customers visit the organized retailer because it works
ethically about products/services
This hypothesis is to be tested against the alternative hypothesis that customers visit the retail
outlets because they work ethically about the products and services. We are using Z variable
(Standard Normal Variate) as test Statistic. We are using 50% as cutoff value. Suppose N
represents the proportion of the respondents saying that the retailers work ethically. Therefore we
want to test:
H005: N0.5, Against Alternative hypothesis H105: N< 0.5
No. of respondents mentioning that retail outlets work ethically = 73
No. of respondents saying that retail outlets don’t work ethically = 27
Total No. of respondents = 100
Fraction of the respondents saying that retail outlets work ethically = 0.73
Fraction of the respondents saying that retail outlets don’t work ethically = 0.27
Zcal = (0.73 - 0.5) X (100/ 0.5X 0.5)
= 0.23 X 20
= 4.6
Ztab at 10% level of significance is 1.645
Ztab at 5% level of significance is 1.96
Comments: Both the above values are less than the calculated value therefore the null
hypothesis in this case may be accepted. Therefore we can infer that the organized retail outlets
work ethically about the products and services being offered.
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Testing of Null Hypothesis#6: Customers visit the organized retailer because of the freshness
of grocery
This hypothesis is to be tested against the alternative hypothesis that customers visit the retail
outlets because they provide fresh grocery items. We are using Z variable (Standard Normal
Variate) as test Statistic. We are using 50% as cutoff value. Suppose N represents the proportion
of the respondents saying that the retailers provide fresh groceries. Therefore we want to test:
H006: N0.5, Against Alternative hypothesis H106: N< 0.5
No. of respondents mentioning that retailers provide fresh groceries = 75
No. of respondents admitting that retailers don’t provide fresh groceries = 25
Total No. of respondents = 100
Fraction of the respondents saying that retailers provide fresh groceries = 0.75
Fraction of the respondents saying that retailers don’t provide fresh groceries = 0.25
Zcal = (0.75 - 0.5) X (100/ 0.5X 0.5)
= 0.25 X 20
= 5.0
Ztab at 10% level of significance is 1.645
Ztab at 5% level of significance is 1.96
Comments: Both the above values are less than the calculated value therefore the null
hypothesis in this case may be accepted. Therefore we can infer that the organized retail outlets
provide fresh groceries to the customers.
Testing of Null Hypothesis#7: Customers visit organized retailer for the time pass
This hypothesis is to be tested against the alternative hypothesis that customers visit the retail
outlets because they provide fresh grocery items. We are using Z variable (Standard Normal
Variate) as test Statistic. We are using 50% as cutoff value. Suppose N represents the proportion
of the respondents saying that they visit the retail outlets for the time pass. Therefore we want to
test:
H007: N0.5, Against Alternative hypothesis H107: N< 0.5
No. of respondents mentioning that they visit for time pass = 21
No. of respondents admitting that they don’t visit for time pass = 79
Total No. of respondents = 100
Fraction of the respondents saying that they visit for time pass = 0.21
Fraction of the respondents saying that they don’t visit for time pass = 0.79
Zcal = (0.21 - 0.5) X (100/ 0.5X 0.5)
= - 0.29 X 20
= - 5.8
Ztab at 10% level of significance is 1.645
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Ztab at 5% level of significance is 1.96
Comments: Both the above values are much more than the calculated value therefore the null
hypothesis in this case may be rejected. Therefore we can infer that the customers don’t visit the
retail outlets for time pass.
Testing of Null Hypothesis#8: Customers visit the particular organized retailer because it
gives discounts on MRP
This hypothesis is to be tested against the alternative hypothesis that customers visit a specific
retail outlet because it provides discounts on MRP. We are using Z variable (Standard Normal
Variate) as test Statistic. We are using 50% as cutoff value. Suppose N represents the proportion
of the respondents saying that the retailers provide discounts on MRP. Therefore we want to test:
H008: N0.5, Against Alternative hypothesis H108: N< 0.5
No. of respondents mentioning that retailers provide discounts on MRP = 76
No. of respondents admitting that retailers don’t provide discounts on MRP = 24
Total No. of respondents = 100
Fraction of the respondents saying that retailers provide discounts on MRP = 0.76
Fraction of the respondents saying that retailers don’t provide discounts on MRP = 0.24
Zcal = (0.76 - 0.5) X (100/ 0.5X 0.5)
= 0.26 X 20
= 5.2
Ztab at 10% level of significance is 1.645
Ztab at 5% level of significance is 1.96
Comments: Both the above values are less than the calculated value therefore the null
hypothesis in this case may be accepted. Therefore we can infer that the organized retail outlets
provide discounts on MRP to their customers.
Testing of Null Hypothesis#9: Customers visit organized retailer because their prices are
economical and affordable
This hypothesis is to be tested against the alternative hypothesis that customers visit the retail
outlets because they get economical and affordable prices. We are using Z variable (Standard
Normal Variate) as test Statistic. We are using 50% as cutoff value. Suppose N represents the
proportion of the respondents saying that they get economical and affordable prices. Therefore
we want to test:
H009: N0.5, Against Alternative hypothesis H109: N< 0.5
No. of respondents mentioning that they get economical and affordable prices = 81
No. of respondents admitting that they don’t get economical and affordable prices = 19
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Total No. of respondents = 100
Fraction of the respondents saying that they get economical and affordable prices = 0.81
Fraction of the respondents saying that they don’t get economical and affordable prices = 0.19
Zcal = (0.81 - 0.5) X (100/ 0.5X 0.5)
= 0.31 X 20
= 6.2
Ztab at 10% level of significance is 1.645
Ztab at 5% level of significance is 1.96
Comments: Both the above values are less than the calculated value therefore the null
hypothesis in this case may be accepted. Therefore we can infer that the customers get
economical and affordable prices in organized retail outlets.
Testing of Null Hypothesis#10: Customers visit the organized retailer because of new price
offers / discounts offered
This hypothesis is to be tested against the alternative hypothesis that customers visit a specific
retail outlet because it provides discounts on MRP. We are using Z variable (Standard Normal
Variate) as test Statistic. We are using 50% as cutoff value. Suppose N represents the proportion
of the respondents saying that the retailers provide discounts on MRP. Therefore we want to test:
H010: N0.5, Against Alternative hypothesis H110: N< 0.5
No. of respondents mentioning that they get new price offers/ extra discounts = 81
No. of respondents admitting that they don’t get new price offers/ extra discounts = 19
Total No. of respondents = 100
Fraction of the respondents saying that they get new price offers/ extra discounts = 0.81
Fraction of the respondents saying that they don’t get new price offers/ extra discounts = 0.19
Zcal = (0.81 - 0.5) X (100/ 0.5X 0.5)
= 0.31 X 20
= 6.2
Ztab at 10% level of significance is 1.645
Ztab at 5% level of significance is 1.96
Comments: Both the above values are less than the calculated value therefore the null
hypothesis in this case may be accepted. Therefore we can infer that the customers get new price
offers/ extra discounts in the organized retail outlets.
Testing of Null Hypothesis#11: Customers visit the particular organized retailer because it
gives special discounts at the time of festival
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This hypothesis is to be tested against the alternative hypothesis that the organized retailers
provide special discounts at festivals. We are using Z variable (Standard Normal Variate) as test
Statistic. We are using 50% as cutoff value. Suppose N represents the proportion of the
respondents saying that they get specila discounts at the festivals. Therefore we want to test:
H011: N0.5, Against Alternative hypothesis H111: N< 0.5
No. of respondents mentioning that retailers provide special discounts at festivals = 78
No. of respondents admitting that retailers do not provide special discounts at festivals = 21
Total No. of respondents = 100
Fraction of the respondents saying that retailers give special discounts at festivals = 0.78
Fraction of the respondents saying that retailers don’t give special discounts at festivals = 0.21
Zcal = (0.78 - 0.5) X (100/ 0.5X 0.5)
= 0.28 X 20
= 5.6
Ztab at 10% level of significance is 1.645
Ztab at 5% level of significance is 1.96
Comments: Both the above values are less than the calculated value therefore the null
hypothesis in this case may be accepted. Therefore we can infer that the organized retailers
provide special discounts on products during festive seasons.
Table3: Hypotheses Testing at a Glance
No. Hypotheses Accepted / Rejected
1. Organized retailers have larger inventories of groceries than small
grocery shops
Accepted
2. Organized retailers have huge space and they are not crowded Accepted
3. Customers visit organized retailer whenever they need some
enjoyment
Rejected
4. Customers visit only one organized retailer or bazaar Rejected
5. Customers visit the organized retailer because it works ethically
about products/services
Accepted
6. Customers visit the organized retailer because of the freshness of
grocery
Accepted
7. Customers visit organized retailer for the time pass Rejected
8. Customers visit the particular organized retailer because it gives
discounts on MRP
Accepted
9. Customers visit organized retailer because their prices are
economical and affordable
Accepted
10. Customers visit the organized retailer because of new price offers / Accepted
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ISSN: 1548-7741
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discounts offered
11. Customers visit the particular organized retailer because it gives
special discounts at the time of festival
Accepted
7.0 Findings
On the basis of data collected and further analysis of it, we may infer the following. We have
used Z test statistic for analyzing the data and drawing inference of it:
1. Big Bazar happens to be the market leader (35% Share) in Varanasi followed by
Jalans (20%) and Spencer’s (13%). Pie Chart clearly shows that.
2. The organized retailers have larger inventories in comparison to smaller grocery
shops. A great majority, 71% respondents have stated that the organized retailers have
larger inventories of displayed items and 29% negated this. Z test has confirmed this.
3. The organized retailers have huge space and are not crowded. 68% respondents have
stated that the organized retailers have huge space and 32% negated this. Z test has
confirmed it.
4. The customers don’t visit the organized retail outlets for enjoyment.45% respondents
have admitted that they have visited the retail outlets for enjoyment also. However 55%
have responded contrary to it. Z test has confirmed that they don’t visit for enjoyment.
5. The customers don’t visit only one retail outlet or Bazaar. 51% respondents have
stated that they visit only one organized retail outlet and 49% responded otherwise. Z
Test confirmed that the customers don’t visit only one or single organized retail out let.
6. The organized retailers work ethically on their products or services. 73% of the
responded favorably and said that the organized retailers work ethically on the products
and services offered. However 27% said that the organized retailers don’t work ethically
on the products and services offered by them. Z test has also confirmed it.
7. The organized retailers provide fresh grocery products. 75% respondents maintained
that the organized retailers provide fresh grocery items. However 25% of the respondents
have stated otherwise. The Z Test has it.
8. The customers don’t visit organized retailers for time pass. Only 21% of the
respondents said that they visited retail outlets for time pass. Around 79% have said
contrary to it. The Z test has also confirmed that the customers don’t visit for time pass.
9. The customers visit organized retailers because of discounts on MRP only. 76% of
the respondents said that they visited retail outlets because they get discounts on MRP.
However 24% responded contrary to it. The Z test has confirmed it.
10. The customers visit organized retailers because they believe that organized retailers
charge affordable and economical prices on their products and services. 81%
respondents have admitted that they visited retail outlets because they felt that the outlets
sell products at affordable and economical prices. The Z test has also confirmed it.
Journal of Information and Computational Science
Volume 10 Issue 1 - 2020
ISSN: 1548-7741
www.joics.org888
11. The customers visit organized retailers because they get new offers and spl.
discounts. 81% respondents have admitted that they get new offers and special discounts.
The Z test has also confirmed it.
12. The customers visit organized retailers because they get festive offers. 81%
respondents have admitted that they get festive offers and special discounts. The Z test
has also confirmed it
8.0 Limitations
1. The main limitation of this report is that the findings cannot be applied in general. It has
been conducted on a small sample of 51 Male students of University / College.
2. Another limitation in the study is, it was conducted in the small part of the Varanasi city.
Due to time and cost factors we could not extend our survey to other parts of the city.
3. The questionnaire has been very structured and is stuffed with many close-ended options.
This may have resulted in some confusion for the respondents. At the time of data
analysis it is found that the respondents have not expressed their views, rather they have
preferred to choose one of the options provided in the question.
4. Since almost all respondents surveyed are college / university going students, the findings
on the basis of their responses may not be give true picture of entire city.
9.0 Recommendations for Further Study
It is suggested that the present study:
1. Can be extended to other areas of the city and may incorporate other factor as well. It
may also include other organized retailers as well.
2. The survey can also include other segments such as: Male students of College /
University, Housewives, Professionals etc.
3. This study may also be conducted in other towns / cities
10. Conclusion
This study was conducted among the residents of Varanasi. They expressed their opinion in a
free and fair manner. We tried to eliminate sampling and non- sampling errors. Nonetheless,
some degree of error may creep in. We have applied Z test of the proportions on the sample
outcomes. The present study shall be extended to other segment as well. However the findings
are indicative and they show a direction. This study does not claim to be free from all biases
including the respondent errors.
Journal of Information and Computational Science
Volume 10 Issue 1 - 2020
ISSN: 1548-7741
www.joics.org889
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ISSN: 1548-7741
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