chetna final proect of retail patronage
TRANSCRIPT
A
PROJECT REPORT
ON
“DETERMINATION OF RETAIL PATRONAGE”
UNDERTAKEN AT
DHIRAJ SONS MEGA STORE PVT LTD, SURAT
Submitted by:
Miss.CHETNA PATEL
(06MBA32)
Guided by:
Mr. BHAVESH VANPARIYA
MBA PROGRAMME
(2006-08)
SHRIMAD RAJCHANDRA INSTITUTE OF
MANAGEMENT AND COMPUTER APPLICATION
Declaration
Myself, undersigned Miss. Chetna Patel, first year student of
Shrimad Rajchandra Institute of Management & Computer Application,
Bardoli, affiliated to Veer Narmad South Gujarat University, Surat declare
that report on “DETERMINATION OF RETAIL PETRONAGE” is my own work.
The survey was carried out by me as a part of summer training in the
company for being evaluated for the MBA degree.
Place:
Date:
-
_______________
Chetna Patel
ACKNOWLEDGEMENT
This Project work is written in accordance with the Master
of Business Administration course prescribed by Veer Narmad
South Gujarat University for 8 weeks project work.
A project of this nature involves the support of many people. I
believe that would be lacking in my duty if I do not express my sincere
gratitude to them.
I am great thankful to the management of Dhiraj Sons Mega Store
Pvt, Ltd, Surat for allowing me to take training at their organization and
giving all possible help and guidance during the training period. I am
heartily thankful to Mrs. Deepa Guar for granting permission. I am
especially thankful to our external Guide Miss Krishna lagdhdir and Miss
Mansi, for giving relevant and necessary guidance. I am all thankful to all
the officers for giving me warm support & providing me necessary
information and I am also thankful to the customer of Dhiraj Sons Mega
Store Pvt, Ltd, Surat for giving necessary information and filling
questionnaire.
With all sincerity, I would like to express my gratitude to our
Director Dr. Bankim Patel. For giving an opportunity to undergo Corporate
Exposure and learning at Dhiraj son’s mega store Pvt ltd. And I would like
to express my deep sense of gratitude to my project guide Mr. Bhavesh
Vanpariya, without his guidance this project would not be made the way
in which it is. I am very thankful to him for his constant support and
valuable guidance.
I am indebted to my family and friends for their kindly co-
operation.
Chetna Patel
EXECUTIVE SUMMARY
Purpose: “To study Determination of Retail Patronage”
First I studied on general information of the Dhiraj Sons Mega Store Pvt
Ltd, Surat then I selected special project on the Determination of retail
Patronage of the Dhiraj Sons Mega Store Pvt Ltd, Surat.
The project report includes the information regarding the Industry
profile, Retail profile & Dhiraj Sons Mega Store Pvt Ltd, Surat. It also gives
details of the research methodology, Data analysis & interpretation,
conclusion & suggestion for to make Dhiraj sons mega store Pvt ltd, a
most preferred destination in Surat for shopping and increase purchase
frequency.
CONTENT OF THEORY: (LITERATURE REVIEW)
To Study the above topic I refer the research paper & book of Retail
management. First I learn about the meaning of the Retail Patronage.
With the help of the Research paper on Determination of retail patronage
by J. Patrick Kelly, Brigham Young University and Scott M. Smith, Brigham
Young University. I carried out this research and it measures the
Qualitative evaluation of the store and also includes criteria which
important for the customer while taking purchase decision.
Two scenarios currently dominate retail growth strategy
formulation. Each scenario focuses on location or store attribute
dimensions. So Qualitative evaluation of the store this alternatively
improvement in the quality and variety of merchandise, speed of service
and courtesy of employees within the existing stores could be improved.
The distance to a store and store attribute have a strong influence on the
probability of purchasing at a giver store location. Higher the distances
lower the purchase frequency using this approach market potential could
be determined however the other attribute can mediate the willingness to
purchase at a given store.
SERVICE INDUSTRY PROFILE:
The service industry includes the retail industry. To understand the
retail scenario, there is need to understand about service sector.
Service Sector in India today accounts for more than half of India's
GDP. According to data for the financial year 2006-2007, the share of
services in India's GDP is 55.1%. The various sectors that combine
together to constitute service industry in India are Trade, Hotels and
Restaurants, Railways, Other Transport & Storage, Communication (Post,
Telecom), Banking, Insurance, Dwellings, Real Estate, Business Services,
Public Administration; Defense, Personal Services Community Services,
Retail.
The boom in the services sector has been relatively "jobless". The
rise in services share in GDP has not accompanied by proportionate
increase in the sector's share of national employment.
The services sector will be the top employer in India, while the
public administration and education sector is to hire the lowest number of
employees. Overall, though, the Manpower Employment Outlook Survey,
says Indian employers are anticipating a stronger third quarter
employment outlook, compared with their counterparts in the Asia Pacific
region.
COMPANY PROFILE:
Retail industry in India is at the crossroads. Retail is an India’s largest
industry, accounting for over 10% of country’s GDP & around 8% of the
employment. It has emerged as one of the most dynamics & fast paced
industry with several players entering the market. But because of the
heavy investments required, breakeven difficult to achieve & many of
these players have not tested success so far.
Retailing in India is gradually inching its way toward becoming the next
boom industry. The whole concept of shopping has altered in terms of
format & customer buying behavior, Ushering in a revaluation in shopping
in India. Modern Retail has entered India as seen in sprawling shopping
center, multi store Malls &huge complexes offer shopping, Entertainment
& food all under one roof.
ABOUT DHIRAJ SONS MEGA STORE PVT LTD, SURAT:
Dhiraj Sons Mega Store Pvt. Ltd is a corporate group comprising of a
business activity firms like Mega Store, Super Store, Music Shop, Card
Shop, Toy Shop and now Fashion World.
Dhiraj Sons is in business since last 62 years, starting off with doing
small business in Grocery and Kirana shop in posh area of Athwalines,
Surat. It was the first to start a Family General Store in 1947, namely R.
Dhiraj Modi. It ventured into a Departmental Store “Dhiraj Sons” in 1984.
It became a pioneer in introducing for the first time in Gujarat the self
service system and online computerized billing system. Continuing with
the successful progress march. In 29-04-2000, had been inaugurated
Dhiraj son’s mega store at Chowpatty, a 15,000 square feet shopping
store. A complete 'shop entertainment' environment kind of store.
The project report gives details of the research methodology, Data
analysis & interpretation, findings, conclusion & suggestion to improve
the service performance & consumers’ perception.
The research methodoly include the problem definition, research
objectives & tools for measuring the research problems. The problem
definition of the study is listed below.
Mgt Decision Problem:
How to improve the quality and variety or merchandise, speed of service,
and courtesy of employees within the existing stores and how to increase
purchase frequency?
Mgt Research Problem:
How to make Dhiraj sons mega store Pvt ltd a most preferred destination
and a one stop shop.
1> Whether the distance is the importance in purchase
frequency?
2> What are the stores attribute that are important predictor of
purchase frequency?
3> Which store attribute is most important predictor of purchase
frequency?
4> What are the various features looked for in a good shopping
mall by people visiting it?
5> What are the features that are lacking in Dhiraj sons according
to the people visiting it?
Primary objectives:
To study the determinant of retail patronage and test it as
alternative predictor of purchase frequency.
To find out the ways to make Dhiraj sons mega store Pvt ltd a most
preferred destination and a one stop shop.
Secondary objectives:
To know the dimension of retail patronage.
To know the purchase frequency by importance of distance.
To know the importance of store attribute with respect to
purchase frequency.
To measure the overall qualitative evaluation of the store.
To know the most important store attribute predictor in
purchase frequency.
To know the various features looked for in a good shopping
mall by people visiting it.
To know the features that are lacking in Dhiraj Sons according
to the people visiting it.
The research design is descriptive. Sampling design is Non-
probability & sampling method is convenience sampling because of time
& money constraints. For the sampling I
selected different branches of Dhiraj Sons mega Store Pvt Ltd, to get the
views of different respondents about the store qualitative information.
There are 200 customers of store are surveyed of the 4 stores For this I
conducted method of survey and the primary data is collected, In primary
data, the data was collected through questionnaire & personal interview
of the customers of Dhiraj Sons, Patrons reported a variety of information
included in questionnaire. Secondary data includes the Books & Website.
For the analysis purpose SPSS software is use for analysis and
interpretation of data, we have used Central tendency, One Sample t-test,
Factor Analysis, Correlation, and Cross Tab & Chi-Square Test with the
help of SPSS Software.
The findings can be summed up,
All together 69%of Responders visit Dhiraj sons Once in a
week and 30% customers are visit the Dhiraj sons once in a
month and only 1% customers are the yearly shoppers.
The customers are neutral level with the Courtesy of service,
Cleanliness, Merchandise Quality, Atmosphere and
Decoration.
The meaningless correlation between Income and Purchase
frequency, Age and Purchase frequency, Occupation and
Purchase frequency and Gender and Purchase frequency.
Value for Money Product(Quality, Cleanliness, Atmosphere
and Décor) Quick Service(Courtesy of services, Speed of
services)
Conclusion
The most of the responders are not satisfied with the speed of
the service provide by the Dhiraj sons.
The quality of product provided by the Dhiraj sons is appreciated
by the responders.
The most of the peoples are mostly come at least in a week.
The peoples are mostly depends on the quality, cleanliness and
atmosphere & decoration.
The peoples are mostly emphasis on courtesy and speed of the
service provides by the Dhiraj sons.
Suggestions
Dhiraj sons should attract the monthly shoppers in order to increase
the sales by introducing such weekly schemes.
Dhiraj sons should increase its speed of services of the store.
To increase Courtesy of service from the employees Dhiraj sons
should conduct training program for their employees.
As per the factor analysis Dhiraj sons is lacking in the factor of
reasonable price so focus on it by making the price of merchandise
reasonable and provide different discount offers for the customers.
The good features looked by the customers in a store are Quality,
Cleanliness, Atmosphere and Decoration, Courtesy of services,
Speed of services so continue to focus on these factors.
TABLE OF CONTENTS
SR. NO. TOPIC Page no.
1. Literature Review
1.1 What is Retail patronage
2. Industry Profile
3. Company profile
3.1 Introduction of Dhiraj Sons
4. Research Methodology
4.1 Problem Definition
4.2 Research Objectives
4.3 Research Methodology
5. Data analysis & Interpretation
5.1
5.2
- Measurement of Central Tendency
- One Sample t-test
5.3
5.4
5.5
5.6
- Factor Analysis
- Correlation
- Cross Tab & Chi-Square Test
- Demographic Profile of Respondents
6. Findings & conclusion
CHAPTER -2
INDUSTRY PROFILE
Service Industry profile:
Service Sector in India today accounts for more than half of India's
GDP. According to data for the financial year 2006-2007, the share of
services, industry, and agriculture in India's GDP is 55.1 per cent, 26.4 per
cent, and 18.5 per cent respectively. The fact that the service sector now
accounts for more than half the GDP marks a watershed in the evolution
of the Indian economy and takes it closer to the fundamentals of a
developed economy.
Services or the "tertiary sector" of the economy covers a wide gamut
of activities like trading, banking & finance, infotainment, real estate,
transportation, security, management & technical consultancy among
several others. The various sectors that combine together to constitute
service industry in India are:
Trade
Hotels and Restaurants
Railways
Other Transport & Storage
Communication (Post, Telecom)
Banking
Insurance
Dwellings, Real Estate
Business Services
Public Administration; Defense
Personal Services
Community Services
Retail
There was marked acceleration in services sector growth in the
eighties and nineties, especially in the nineties. While the share of
services in India's GDP increased by 21 per cent points in the 50 years
between 1950 and 2000, nearly 40 per cent of that increase was
concentrated in the nineties. While almost all service sectors
participated in this boom, growth was fastest in communications,
banking, hotels and restaurants, community services, trade and
business services. One of the reasons for the sudden growth in the
services sector in India in the nineties was the liberalization in the
regulatory framework that gave rise to innovation and higher exports
from the service sector.
The boom in the services sector has been relatively "jobless". The
rise in services share in GDP has not accompanied by proportionate
increase in the sector's share of national employment. Some
economists have also cautioned that service sector growth must be
supported by proportionate growth of the industrial sector; otherwise
the service sector grown will not be sustainable. In the current
economic scenario it looks that the boom in the services sector is here
to stay as India is fast emerging as global services hub.
The services sector will be the top employer in India, while the
public administration and education sector is to hire the lowest number
of employees. Overall, though, the Manpower Employment Outlook
Survey, says Indian employers are anticipating a stronger third
quarter employment outlook, compared with their counterparts in the
Asia Pacific region.
CHAPTER-3
COMPANY PROFILE
Company Profile:
Retail is a India’s Largest industry, accounting for over 10% of
country’s GDP & around 8% of the employment. Retail industry in India is
at the crossroads. It has emerged as one of the most dynamics & fast
paced industry with several players entering the market. But because of
the heavy investments required, breakeven difficult to achieve & many of
these players have not tested success so far. However the future is
promising the market is growing, government policies are becoming more
favorable & emerging technologies are facility operations.
Retailing in India is gradually inching its way toward becoming the
next boom industry. The whole concept of shopping has altered in terms
of format & customer buying behavior, Ushering in a revaluation in
shopping in India. Modern Retail has entered India as seen in sprawling
shopping center, multi store Malls &huge complexes offer shopping,
Entertainment & food all under one roof.
India has topped the AT Kearney’s annual Global Retail
Development Index (GRDI) for the third consecutive year, maintaining its
position as the most attractive market for retail investment.
The Indian retail market -- one of India's fastest growing industries
is expected to grow from US$ 350 billion to US$ 427 billion by 2010.
According to Euro monitor International, the Indian Retail market will grow
in value terms by a total of 39.6 per cent between 2006 and 2011,
averaging growth of almost 7 per cent a year.
Modern retail accounts for about 4 per cent of the total retail
market in India. This share is expected to increase to about 15 -20 per
cent with the entry of a number of corporate into the segment. Modern
retail formats have grown by 25-30 per cent in India in the last year and
could be worth US$ 175-200 billion by 2016.
Currently the value of the retail market is estimated at around
$270 billion with a growth rate of 5.7 percent per annum according to the
India Retail Report 2007. India Retail Report 2007 said that organized
retail in India has the potential to add over Rs 2000 billion business by the
Year 2010 generating employment for some 2.5 million people in various
retail operations and over 10 million additional workforce in retail support
activities including contract production and processing, supply chain and
logistics, retail real estate development and management.
The Indian retail sector is at inflexion point where the growth of
organized retailing in growth consumption by the Indian population is
going to take a higher growth trajectory. The Indian population is
witnessing a significant changing its demographics. A large young
working population with median age of 24 years, nuclear families in urban
areas, along with increasing working women population & emerging
opportunities in the services sector are going to be the key growth drivers
of the organized retail sector in India.
INTRODUCTION OF DHIRAJ SONS MEGA STORE PVT LTD,
SURAT:
Dhiraj Sons Mega Store Pvt. Ltd is a corporate group comprising of a
business activity firms like Mega Store, Super Store, Music Shop, Card
Shop, Toy Shop and now Fashion World.
History:
Dhiraj Sons is in business since last 62 years, starting off with doing small
business in Grocery and Kirana shop in posh area of Athwalines, Surat. It
was the first to start a Family General Store in 1947, namely R. Dhiraj
Modi. Subsequently following the
overwhelming response from the people, for the first time in Gujarat, it
ventured into a Departmental Store “Dhiraj Sons” in 1984. It became a
pioneer in introducing for the first time in Gujarat the self service system
and online computerized billing system. Continuing with the successful
progress march, it also added a Greeting Card Shop, a Music Shop, Plastic
Corner and a Stationery Corner to its establishment in the year 1995,
which was due to the faith and love of the people of Surat in us and our
management, which made us stand apart from the rest of our
competitors. In 29-04-2000, we inaugurated Dhiraj Sons - The Mega Store
at Chowpatty, a 15,000 square feet shopping store. A complete 'shop
entertainment' environment kind of store. Catering to demands of our
valued customers, in 2002 we unveiled Dhiraj Sons - The Super Market, at
Parle Point a 15,000 square feet shopping store for their shopping ease
and comfort. From a small Grocery Store in 1947 to Super Store,
Mega Store and Fashion World in 2002 shows the kind of progress we
have made and always leading from the front. This all has been possible
because of the trust and love from our valued ‘Dhiraj Customers’ and due
to our fellow staff members. This has always promoted us to take a major
step forward in presenting our customers with new innovations and
dimensions.
Branches of Dhiraj Sons:
FASHION WORLD
A grand Fashion world for branded Men,
Women, Kids Garments & Accessories and
presenting a constant changing Fashion
World. The entire place is totally air
conditioned with gorgeous automatic
escalator entrance.
MEGA STORE
A Three Storeyed store housing all kinds
of groceries, toiletries, food stuffs,
household items, crockery's, watches,
electronic items, gift items etc.
SUPER MARKET
A store housing all kinds of groceries,
toiletries, food stuffs, household items,
crockery's, watches, electronic items, gift
items etc.
TOY SHOPAn extravagant collection of toys & soft
toys and games are available for kids of
all ages.
Cards for Birthday, Anniversary, Sorry,
Thank you, New year, Christmas, Pateti,
Idd, Condolences, Friendship, Love, Best
Wishes and all Occasions.
All kinds of plastic items like buckets,
tumblers, boxes, jars, household items
etc.
English, Hindi, Gujarati Audio Cassettes
and Compact Discs ( CD's).
CHAPTER-4
Research Methodology
-Problem Definition
-Research Objectives
-Research Methodology
Research Methodology
4.1 Problem definition:
How to make Dhiraj sons mega store Pvt ltd a most preferred destination
and a one stop shop.
Mgt Decision Problem:
How to improve the quality and variety or merchandise, speed of service,
and courtesy of employees within the existing stores and how to increase
purchase frequency?
Mgt Research Problem:
To investigate and test as alternative predictors of purchase frequency of
Dhiraj sons Pvt ltd.
Problem Definition:
6> Whether the distance is the importance in purchase
frequency?
7> What are the stores attribute that are important predictor of
purchase frequency?
8> Which store attribute is most important predictor of purchase
frequency?
9> What are the various features looked for in a good shopping
mall by people visiting it?
10>What are the features that are lacking in Dhirajsons according
to the people visiting it.
4.2. Objectives of Study:
Following are the objectives of the present study:
Primary objectives:
To study the determinant of retail patronage and test it as
alternative predictor of purchase frequency.
To find out the ways to make Dhiraj sons mega store Pvt ltd a most
preferred destination and a one stop shop.
Secondary objectives:
To know the dimension of retail patronage.
To know the purchase frequency by importance of distance.
To know the importance of store attribute with respect to
purchase frequency.
To measure the overall qualitative evaluation of the store.
To know the most important store attribute predictor in
purchase frequency.
To know the various features looked for in a good shopping
mall by people visiting it.
To know the features that are lacking in Dhiraj Sons according
to the people visiting it.
4.3. Research Methodology:
Research Methodology is the systematic design, collection, analysis
and reporting of data and findings, relevant to appraisal specific
personnel situation facing the company. Research Methodology describes
the research procedure. This research procedure covers the following
points:
A. Research design
B. Data collection method
C. Sampling plan
A. Research Design:
A research design is an overall framework of project that indicates
what information to be collected from which sources and by which
procedures.
Research design is the plan, structure, and strategy of investigation
conceived so as to obtain answers to research questions and to control
variance.
In this project, descriptive and cross-sectional research design has
been used because it describes the phenomena under study and
recommendations findings are specific under this study. Cross-sectional
studies are carried out once and selected as the research will be carried
out in a particular time limit only.
The Six W’s
WHO-Who should be considered a potential respondent?
=> Potential respondent: Potential customers of Dhiraj son’s Pvt, ltd Surat
WHAT-What information should be obtained from respondent?
=> The qualitative information about the store.
WHERE-Where should the respondents be contacted to obtain the
required information?
=> The respondent is contacted within the four stores of Dhiraj sons Pvt,
Ltd-Ghod dod road, Parle point, Nanpura (fashion world), Bardoli
WHY-Why are we obtaining information from the respondents? Why is the
marketing research project being conducted?
=> To improve the quality and variety or merchandise, speed of service,
and courtesy of employees within the existing stores and increase
purchase frequency of Dhiraj son’s stores.
WAY- In what way are we going to obtained information from the
respondents?
=> Prepare a questionnaire and conduct face to face personal interview.
WHEN- 21 may 2007 to 20th July 2007.
B- Data collection Method:
There are two sources of data:
1. Primary data sources
2. Secondary data sources
Primary data are collected by using the Survey method of data
collection.
Secondary data are collected from books on research, marketing, past
research reports and websites and research paper of
Research Measurement Tool
The most popular research instrument for data collection -
questionnaire has been used. This questionnaire has been administered
through face to face interviews.
Type of Questions
In the questionnaire, close ended questions included. The close-ended
questions further included multiple-choice questions as well as rating
scale questions.
Pre-Testing of questionnaire:
It is necessary to check the questionnaire, before actual
research is done. Therefore pilot testing is done. In this case, Pilot
testing was done for 20 respondents from each store and based on
the feedback, the questionnaire was fine-tuned.
C. Sampling Plan:
Sampling Design and Sampling Method:
In this study, non-probability sampling design has been used and the
sampling method employed is Convenience Sampling and Quota
sampling. This has been done instead of pure random sampling method
(Probability Sampling) because of time and money constraints.
I. Define the Target population
-Element: Potential Customer
-Sampling Unit: visitors and customer of Dhiraj sons
-Extent: Surat city( 4 branch of Dhiraj sons
-Time: 21st may 2007 to 20th July 2007
ii. Define sampling frame:
Customer record book
iii. Select sampling techniques:
Non-probability Convenience. This has been done instead of pure
random sampling method (Probability Sampling) because of time and
money constraints.
iv. Determine sample size:
200 customers of Different branch of Dhiraj sons.
v. Execution of sampling process:
Data have bee collected from Dhiraj son’s store i.e. Athawagate, Ghod
Dhod Road, ParlePoint, Fashion world and Bardoli by conducting interview
of Customer.
4.4.Statistical Test Used:
We have use SPSS software for doing all kind of statistical test.
Mean- means value is obtained by adding together all the items and by
dividing this total by the number of items.
Median- middle value in a distribution.
Mode- the model value in a series of observation which occurs with the
great frequency.
Standard deviation- a probability distribution, random variable. Or
population or multiset of values is a measure of the spread of its values.
One-sample t test – The One-sample T test compares the mean score of
a sample to a known value.
Factor analysis
ANOVA analysis
Correlation
Cross tab
Chi-square test
CHAPTER-5
DATA ANALYSIS
&
INTERPRETATION
Q-1 How frequently you come to Dhiraj sons?
Purpose- To know the purchase frequency.
Times responders visit Dhiraj sons
Frequency Percentage
At least once in a week 138 69.0
In a month 60 30.0
In a year 2 1.0
Total 200 100.0
INTERPRETATION:
From the above table and graph we can say 69% responded out of
100, visit Dhiraj sons once in a week, so they can be called as loyal
customers of Dhiraj sons but they need to attract the monthly shoppers
because it covers a small market but if they shop at least once in a week,
the sales of Dhiraj sons would be increases.
A.1.0Measurement of Central Tendency
N /
Missing Mean
Quality 200 0 4.14
Cleanliness 200 0 3.95
Atmosphere and décor 200 0 3.95
Courtesy of service 200 0 3.70
Speed of service 200 0 3.41
Varieties 200 0 3.78
Price 200 0 3.74
Nearness of store 200 0 3.92
From above table of Measurement of Central Tendency from 5-point
scale, we can see that all the respondents are positively agree (4) with all
the statement.
Test Value
= 3
t df Sig.
(2-tailed)
Mean
Difference
95%
Confidence
Interval of
the
Difference
Lower Upper
Quality 23.188 199 .000 1.13 1.04 1.23
Cleanliness 16.903 199 .000 .94 .83 1.06
Atmosphere
and décor
16.046 199 .000 .95 .83 1.07
Courtesy of service 10.905 199 .000 .70 .57 .83
Speed of service 5.654 199 .000 .40 .26 .55
Varieties 12.505 199 .000 .77 .65 .90
Price 12.730 199 .000 .74 .63 .85
Nearness of store 9.547 199 .000 .92 .73 1.10
A.3.0 Merchandise of the quality of the store
Q-1 Merchandise of the quality of the store is good
1-Storngly disagree,2-Disagree,3-Neutral, 4-Agree, 5-Strongly
agree
Purpose- With the help of this statement we can find that the
Merchandise quality of a store is good or not.
Null Hypothesis (HO): There is no significant difference between
calculated mean and hypothesized mean. In other words, we hypothesize
that the customer are neutral that the quality is one of the important
criteria consider by them while taking purchase decision
Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customer are
not neutral that the quality is one of the important criteria consider by
them while taking purchase decision
Statistical Test: one sample t-test is chosen because the measurement
of data is interval in nature.
Significance level: 0.05
Test value at 3.0
Table-A-3.1One-Sample Test
N Mean
Std.
Deviation Std. Error Mean
Quality 200 4.14 .69 4.89
Table A 3.2 One-Sample test
Test Value = 3
t Df Sig.
(2-tailed)
Mean
Difference
95% Confidence
Interval of the
Difference
Lower Upper
Quality 23.188 199 .000 1.13 1.04 1.23
Inference:
Here the test is performed at 95% significance level and the p-value
comes out as 0.000 which is less than 0.05, it means that the null
hypothesis H0 is rejected and alternative hypothesis H1 is accepted and it
can be said that there is significant difference between calculated mean
and hypothesized mean. From the Mean value (4.14)& t-test value we can
analyzed that customer are above neutral level i.e. agree with the
statement that the Merchandise quality of a store is good and the quality
is one of the important criteria consider by them while taking purchase
decision.
B.1.0 Over all cleanliness of the store
Q-2 Over all cleanliness of the store is good.
1-Storngly disagree, 2-Disagree,3-Neutral, 4-Agree, 5-Strongly
agree
Purpose- With the help of this statement we can analyzed that whether
cleanliness of the store is good or not.
Null Hypothesis (HO): There is no significant difference between
calculated mean and hypothesized mean. In other words, we hypothesize
that the customers are neutral that the Over all cleanliness of the store is
one of the important criteria consider by them while taking purchase
decision
Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words the customers
are not neutral that the Over all cleanliness of the store is one of the
important criteria consider by them while taking purchase decision
Statistical Test: one sample t-test is chosen because the measurement
of data is interval in nature.
Significance level: 0.05
Test value at 3.0
Table-B-1.1 One-Sample Test
N Mean
Std.
Deviation Std. Error Mean
cleanliness 200 3.95 .79 5.59
Table-B-1.2 One-Sample Test
Test Value = 3
t Df Sig.
(2-tailed)
Mean
Difference
95% Confidence
Interval of the
Difference
Lower Upper
Cleanliness 16.903 199 .000 .94 .83 1.23
Inference:
Here the test is performed at 95% significance level and the p-value
comes out as 0.000 which is less than 0.05, it means that the null
hypothesis H0 is rejected and alternative hypothesis is accepted and it
can be said that there is significant difference between calculated mean
and hypothesized mean. From the Mean value (3.95)& t-test value we can
analyzed that customer are above neutral level i.e. agree with the
statement that the Over all cleanliness of the store is good. And the
cleanliness is one of the important criteria consider by them while taking
purchase decision.
C.3.0 Atmosphere and decoration of the store
Q-3 Atmosphere and decoration of the store is good.
1-Storngly disagree,2-Disagree,3-Neutral, 4-Agree, 5-Strongly
agree
Purpose- With the help of this statement we can analyzed that whether
the Atmosphere and decoration of the store is good or not.
Null Hypothesis (HO): There is no significant difference between
calculated mean and hypothesized mean. In other words, we hypothesize
that the customer are neutral that Atmosphere and decoration of the
store is the store is one of the important criteria consider by them while
taking purchase decision.
Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesize
that the customer are not neutral that Atmosphere and decoration of the
store is the store is one of the important criteria consider by them while
taking purchase decision.
Statistical Test: one sample t-test is chosen because the measurement
of data is interval in nature.
Significance level: 0.05
Test value at 3.0
Table-C-1.1 One-Sample Test
N Mean Std. Deviation Std. Error Mean
Atmospher
e200 3.95 0.84 5.92
Table-C-1.2 One-Sample Test
Test Value = 3
t Df Sig.
(2-tailed)
Mean
Difference
95% Confidence
Interval of the
Difference
Lower Upper
Atmospher
e 16.046 199 .000
.95 .83 1.07
Inference:
Here the test is performed at 95% significance level and the p-value
comes out as 0.000 which is less than 0.05, it means that the null
hypothesis H0 is rejected and alternative hypothesis is accepted and it
can be said that there is significant difference between calculated mean
and hypothesized mean. From the Mean value (3.95) & t-test value we
can analyzed that customer are above neutral level i.e. agree with the
statement that the Atmosphere and decoration of the store is good and
Atmosphere and decoration of the store is one of the important criteria
consider by them while taking purchase decision.
D.4.0 Courtesy of service from employee
Q-4 Courtesy of service from employee is good enough.
1-Storngly disagree,2-Disagree,3-Neutral, 4-Agree, 5-Strongly
agree
Purpose- With the help of this statement we can analyzed that whether
w Courtesy of service from employee is good enough or not.
Null Hypothesis (HO): There is no significant difference between
calculated mean and hypothesized mean. In other words, we hypothesize
that the customer are neutral that Courtesy of service from employee of
the store is one of the important criteria consider by them while taking
purchase decision.
Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesize
that the customer are not neutral that Courtesy of service from employee
of the store is one of the important criteria consider by them while taking
purchase decision.
Statistical Test: one sample t-test is chosen because the measurement
of data is interval in nature.
Significance level: 0.05
Test value at 3.0
Table-D-1.1 One-Sample Test
N Mean
Std.
Deviation Std. Error Mean
Services from
employees200 3.70 0.91 6.42
Table-D-1.2 One-Sample Test
Test Value = 3
t Df Sig.
(2-tailed)
Mean
Difference
95% Confidence
Interval of the
Difference
Lower Upper
Services from
the employees 10.945 199 .000
.70 .57 0.83
Inference:
Here the test is performed at 95% significance level and the p-value
comes out as 0.000 which is less than 0.05, it means that the null
hypothesis H0 is rejected and alternative hypothesis is accepted and it
can be said that there is significant difference between calculated mean
and hypothesized mean. From the Mean value (3.70) & t-test value we
can analyzed that customer are above neutral level i.e. agree with the
statement that the Courtesy of service from employee is good enough
and the Courtesy of service from employee of the store is one of the
important criteria consider by them while taking purchase decision.
E.5.0 Speed of services in the store
Q-5 Speeds of services in the store is good.
1-Storngly disagree,2-Disagree,3-Neutral, 4-Agree, 5-Strongly
agree
Purpose- With the help of this statement we can analyzed that whether
Speeds of service in the store is good or not.
Null Hypothesis (HO): There is no significant difference between
calculated mean and hypothesized mean (3). In other words, we
hypothesize that the customer are neutral that Speeds of service in the
store is one of the important criteria consider by them while taking
purchase decision.
Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesize
that the customer are not neutral that the Speeds of service in the store is
one of the important criteria consider by them while taking purchase
decision.
Statistical Test: one sample t-test is chosen because the measurement
of data is interval in nature.
Significance level: 0.05
Test value at 3.0
Table-E-1.1 One-Sample Test
N Mean Std. Deviation Std. Error Mean
Speed of
services200 3.41 1.01 7.16
Table-E-1.2 One-Sample Test
Test Value = 3
t Df Sig.
(2-tailed)
Mean
Difference
95% Confidence
Interval of the
Difference
Lower Upper
Speed of
Services 5.654 199 .000 .40 .26 0.55
Inference:
Here the test is performed at 95% significance level and the p-value
comes out as 0.000 which is less than 0.05, it means that the null
hypothesis H0 is rejected and alternative hypothesis is accepted and it
can be said that there is significant difference between calculated mean
and hypothesized mean. From the Mean value (3.41)& t-test value we can
analyzed that customer are above neutral level i.e agree with that Speeds
of service in the store is good and Speeds of service in the store is
important criteria consider by them while taking purchase decision.
F.6.0 varieties of merchandise in store
Q-6 Varieties of merchandise in store are available.
1-Storngly disagree,2-Disagree,3-Neutral, 4-Agree, 5-Strongly
agree
Purpose- With the help of this statement we can analyzed that whether
the Varieties of merchandise available in store or not.
Null Hypothesis (HO): There is no significant difference between
calculated mean and hypothesized mean (3). In other words, we
hypothesize that the customer are neutral that Varieties of merchandise
in store are available and Varieties of merchandise in store are available
is one of the important criteria consider by them while taking purchase
decision.
Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesize
that the customer are not neutral that Varieties of merchandise in store
are available and Varieties of merchandise in store are available is one of
the important criteria consider by them while taking purchase decision.
Statistical Test: one sample t-test is chosen because the measurement
of data is interval in nature.
Significance level: 0.05
Test value at 3.0
Table-F-1.1 One-Sample Test
N Mean
Std.
Deviation Std. Error Mean
Varieties of
merchandise200 3.78 0.82 5.81
Table-F-1.2 One-Sample Test
Test Value = 3
t df Sig.
(2-tailed)
Mean
Difference
95%
Confidence
Interval of the
Difference
Lower Up
per
Varieties of
merchandise12.505 199 .000
.77 .65 0.9
9
Inference:
Here the test is performed at 95% significance level and the p-value
comes out as 0.000 which is less than 0.05, it means that the null
hypothesis H0 is rejected and alternative hypothesis is accepted and it
can be said that there is significant difference between calculated mean
and hypothesized mean. From the Mean value (3.78)& t-test value we can
analyzed that customer are above neutral level i.e. agree with that
Varieties of merchandise in store are available and Varieties of
merchandise in store are available is one of the important criteria
consider by them while taking purchase decision
G.7.0 Price of merchandise in store
Q-7 Price of merchandise is reasonable.
1-Storngly disagree,2-Disagree,3-Neutral, 4-Agree, 5-Strongly
agree
Purpose- With the help of this statement we can analyzed that whether
the Price of merchandise is reasonable or not Price of merchandise is on
the important criteria consider by them while taking purchase decision or
not.
Null Hypothesis (HO): There is no significant difference between
calculated mean and hypothesized mean (3). In other words, we
hypothesize that the customer are neutral that Price of merchandise is
reasonable and Price of merchandise is one of the important criteria
consider by them while taking purchase decision.
Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesize
that the customer are not neutral that that Price of merchandise is
reasonable and Price of merchandise is one of the important criteria
consider by them while taking purchase decision.
Statistical Test: one sample t-test is chosen because the measurement
of data is interval in nature.
Significance level: 0.05
Test value at 3.0
Table-G-1.1 One-Sample Test
N Mean Std. Deviation Std. Error Mean
Price 200 3.74 0.82 5.81
Table-G -1.2 One-Sample Test
Test Value = 3
t Df Sig.
(2-tailed)
Mean
Difference
95% Confidence
Interval of the
Difference
Lower Upper
Price 12.730 199 .000 .74 .63 0.85
Inference:
Here the test is performed at 95% significance level and the p-value
comes out as 0.000 which is less than 0.05, it means that the null
hypothesis H0 is rejected and alternative hypothesis is accepted and it
can be said that there is significant difference between calculated mean
and hypothesized mean. From the Mean value (3.74)& t-test value we can
analyzed that customer are above neutral level i.e. Price of merchandise
is reasonable and Price of merchandise is reasonable is one of the
important criteria consider by them while taking purchase decision
H.7.0 Nearness of the store
Q-8 The store is near to your home (less than 1 km)
1-Storngly disagree,2-Disagree,3-Neutral, 4-Agree, 5-Strongly
agree
Purpose- with the help of this statement we can analyze that whether
the distance of the store is important criteria consider by them while
taking purchase decision or not.
Null Hypothesis (HO): There is no significant difference between
calculated mean and hypothesized mean (3). In other words, we
hypothesize that the customer are neutral that the store is near to their
home and nearness of the store is one of the important criteria consider
by them while taking purchase decision.
Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesize
that the customer are not neutral that The store is near to their home and
nearness of the store is one of the important criteria consider by them
while taking purchase decision.
Statistical Test: one sample t-test is chosen because the measurement
of data is interval in nature.
Test value at 3.0
Significance level: 0.05
Table-H-1.1 One-Sample Test
N Mean Std. Deviation Std. Error Mean
Nearness of
the store200 3.92 1.36 9.58
Table H-1.2 One-Sample Test
Test Value = 3
T Df Sig.
(2-tailed)
Mean
Difference
95% Confidence
Interval of the
Difference
Lower Upper
Nearness of
the store9.547 199 .000
.92 .73 0.11
Inference:
Here the test is performed at 95% significance level and the p-value
comes out as 0.000 which is less than 0.05, it means that the null
hypothesis H0 is rejected and alternative hypothesis is accepted and it
can be said that there is significant difference between calculated mean
and hypothesized mean. From the Mean value (3.92)& t-test value we can
analyzed that customer are above neutral level i.e. agree with that The
store is near to their home and nearness of the store is one of the
important criteria consider by them while taking purchase decision
One Sample t-test
Ho: There is no significant difference between actual mean and
hypothesis mean. In other words, respondents are Natural to all
statement.
H1: There is significant difference between actual mean and hypothesis
mean. In other words, respondents are not natural to all statement.
Confidence level : 95%
Test: Here we use one sample t-test because data are interval in Nature.
And we want to find out the direction of the what extent respondents are
agree with given statement using 5-point scale.
Table 2 Summery of One-Sample t-test
Statements MeanT value Sig. (2-
tailed)
Quality 4.14 23.188 .000
Cleanliness 3.95 16.903 .000
Atmosphere and decor 3.95 16.046.000
Courtesy of service 3.70 10.905 .000
Speed of service 3.41 5.654 .000
Varieties 3.78 12.505 .000
Price 3.74 12.730
Nearness of store 3.92 9.547 .000
We have seen in above table that all t-value are positive and mean
is also above three i.e. Neutral. Our all respondents are positively agreed
with all the statements.
All Ho (Null Hypothesis) are rejected because Sig. value is less than
0.05, so our H1 (Alternative Hypothesis) are accepted i.e. significant
difference between actual mean and hypothesis mean. In other words, our
all Ho are positively rejected, it means respondents are agree with all the
statements.
5.3 Factor Analysis :
5.3-1 KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of
Sampling Adequacy..791
Bartlett's Test
of Sphericity
Approx. Chi-
Square420.811
Df 28
Sig. .000
KMO measure whether our distribution of values is adequate for
conducting factor analysis. Kaiser himself designates level as follows: A
measure >.9 is marvelous, >.8 is meritorious, >.7 is middling, >.6 is
mediocre, >.5 is miserable, and <.5 is unacceptable.
In this case, KMO value is .791, it is near to .8 so we can say that
level of distribution value of data set is meritorious.
Bartlett Test of Sphericity is a measure of the multivariate normality
of your set of distributions. It also tests whether the correlation matrix is
an identity matrix (Factor analysis is meaning less without identity
matrix). A significance value <0.05 indicates that these data do not
produce an identity matrix (or “differ significantly from identity”) and are
thus approximately multivariate normal and acceptable for factor
analysis.
In this case, Bartlett Test of Sphericity is less than 0.05 so our set of
distribution is multivariate normal and acceptable for Factor Analysis.
5.3-2 Total Variance Explained
Component Initial Eigenvalues
Total
% of
Variance
Cumulati
ve %
1 3.270 40.871 40.871
2 1.079 13.493 54.363
3 .944 11.797 66.161
4 .803 10.0438 76.204
5 .651 8.140 84.344
6 .563 7.041 91.384
7 .364 4.556 95.940
8 .325 4.060 100.000
Extraction Method: Principal Component Analysis.
There are two factors with Eigenvalues larger than 1.0 and they
account 54% of total variance.
5.5 Rotated Component Matrix (a)
Component
1 2
Quality .739 9008E-02
Cleanliness .863 .277
Atmospher
e and
decor
.722
.328
Courtesy
of services
.386
.692
Speed of
services
.364.736
Verities .676 3.370E-02
Price .674 -1.18E-02
Nearness
of store
.201-.605
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a Rotation converged in 3 iterations.
Factor 1- Quality, Cleanliness, Atmosphere and Décor = Value for
Money Product
Factor 2: Courtesy of services, Speed of services = Quick Service
5.6 Cross Tabulation:
1. Between Income and Purchase frequency
Purchase frequency
At least
once in
a week
Once in
a month
Once in
a year Total
INCOME
Dependent 37.5% 12.5% 0 50%
Below Rs.
1500012.0% 9.0% 1.0% 22.0%
Rs.15001-
Rs.2500012.0% 5.5% 0 17.5%
Above Rs.
250007.5% 3.0% 0 10.5%
Total 69.0% 30.0% 1.0% 100.0%
From the above table we can say the purchase frequency is higher in
dependent i.e. 50% and the weekly shoppers are also higher in it 37.5%.
Chi-Square Test
Ho: There is no dependency between Income and Purchase Frequency.
H1: There is dependency between Income and Purchase
Frequency.
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 11.581 6 .072
Fisher's Exact Test 15.238 .105
Linear-by-Linear
Association.556 1 .456
N of Valid Cases 200
Value of the Pearson Chi-Square is 11.581; Sig. value is
greater then than 0.05, it means there is no dependency between
Income and Purchase frequency.
Linear-by-Linear Association test whether the two variable
correlate with each other. Here Sig. value is 0.456, so it indicate the
meaningless correlation between Income and Purchase frequency.
Between Age and Purchase frequency
Purchase frequency
At least
once in a
week
Once in
a month
Once in
a year Total
AGEBelow 20 years 4.5% 1.5% 0 6.0%
20-30 Years 30.5% 10.5% 0 41.0%
31-40 Years 20.0% 12.0% 0 32.0%
41-50 Years 8.0% 5.0% 1.0% 14.0%
51-60 Years 3.5% 1.0% 0 4.5%
Above 60
Years2.5% 0 0 2.5%
Total 69% 30.0% 1.0% 100%
From the above table we can say that the age group between 20-30
years and 31-40 years should be the target customer of Dhirajsons
because the purchase frequency is higher in it i.e. 41% and 32%.
Chi-Square Test
Ho: There is no dependency between Age and Purchase Frequency
H1: There is dependency between Age and Purchase Frequency
Value Df
Asymp. Sig.
(2-sided)
Pearson Chi-Square 18.266 10 .051
Fisher's Exact Test 15.238 .124
Linear-by-Linear .534 1 .465
Association
N of Valid Cases 200
Value of the Pearson Chi-Square is 18.266; it means the two
variables are dependent to each other. Sig. value is Greater than
0.05, it means there is no dependency between Age and Purchase
frequency.
Linear-by-Linear Association test whether the two variable
correlate with each other. Here Sig. value is 0.465, so it indicates
the meaningless correlation between Age and Purchase frequency.
Between Occupation and Purchase frequency
Purchase frequency
At least
once in a
week
Once in
a
month
Once
in a
year
Total
OCCUPATION Students 7.5% 3.0 % - 10.5%
Housewife 29.0% 9.5% - 38.5%
Business 13.0% 5.0% 0.5% 18.5%
Professional 3.5% 2.0% - 5.5%
Service 14.0% 10.0% 0.5% 24.5%
Retired 2.0% 5.0% - 2.5%
Total 69.0% 30.0% 1.0% 100%
From the above table we can say the housewife’s more purchase
from the store, then the service people.
Chi-Square Test
Ho: There is no dependency between Occupation and Purchase
Frequency.
H1: There is dependency between Occupation and Purchase
Frequency.
Value Df
Asymp. Sig.
(2-sided)
Pearson Chi-Square 7.426 10 .685
Fisher's Exact Test 8.012 .
Linear-by-Linear
Association3.434 1 .064
N of Valid Cases 200
Value of the Pearson Chi-Square is 7.426, it means the two
variable are less dependent to each other. Sig. value is greater
then than 0.05, it means there is no dependency between
Occupation and Purchase frequency.
Linear-by-Linear Association test whether the two variable
correlate with each other. Here Sig. value is 0.064, so it indicate the
meaningless correlation between Occupation and Purchase
frequency.
4. Gender and Purchase frequency
Purchase frequency
At least
once in a
week
Once in
a month
Once
in a
year Total
GENDER Male 25.5% 15.5% 1.0% 42.0%
Female 43.5 % 14.5% 0 58.0%
Total 69.0% 30.0% 1.0% 100.0%
From the above table we can say the purchase frequency is higher in
female i.e. 58.0%
Chi-Square Tests
Ho: There is no dependency between Gender and Purchase
Frequency
H1: There is dependency between Gender and Purchase Frequency
Value Df
Asymp. Sig. (2-
sided)
Pearson Chi-
Square6.504 2 .039
Fisher's Exact Test 7.198 .027
Linear-by-Linear
Association5.667 1 .017
N of Valid Cases 200
Value of the Pearson Chi-Square is 6.504; it means the two
variable are very less dependent to each other. Sig. value is less
than 0.05, it means there is dependency between Gender and
Purchase frequency toward Dhiraj Sons.
Chi-Square Test
5. Marital Status and Purchase frequency
Purchase frequency
At least
once in
a week
Once in
a
month
Once in
a year Total
STATUS Married 21.5% 5.5% 0 27.0%
Single 47.5% 24.5% 1.0% 73.0%
Total 69.0% 30.0% 1.0% 100%
Ho: There is no dependency between marital status and Purchase
Frequency
H1: There is dependency between marital status and Purchase
Frequency
Value Df
Asymp. Sig. (2-
sided)
Pearson Chi-
Square4.238 2 .120
Fisher's Exact Test 4.912 .086
Linear-by-Linear
Association4.190 1 .041
N of Valid Cases 200
Value of the Pearson Chi-Square is 4.238, it means the two
variable are very less dependent to each other. Sig. value is greater
than 0.05, it means there is no dependency between marital status
and Purchase frequency toward Dhiraj Sons.
6-Education and Overall Satisfaction
Purchase frequency
At least
once in
a week
Once in
a
month
Once in
a year Total
EDUCATIONIlliterate 1.5% 0.5% 0 2.0%
S.S.C. 6.5% 6.0% 0 12.5%
H.S.C. 8.0% 3.5% 0 11.5%
Graduate 35.0% 14.0% 0.5% 49.5%
Post
Graduate15.5% 5.5% 0.5 % 21.5%
Other 2.5% 0.5% 2.0% 3.0%
Total 69% 30.0% 1.0% 100%
Ho: There is no dependency between Education and Purchase
Frequency
H1: There is dependency between Education and Purchase
Frequency
Value Df
Asymp. Sig. (2-
sided)
Pearson Chi-
Square6.512 10 .802
Fisher's Exact Test 6.278 .791
Linear-by-Linear
Association1.671 1 .196
N of Valid Cases 200
Value of the Pearson Chi-Square is 6.512, it means the two
variable are less dependent to each other. Sig. value is greater
than 0.05, it means there is no dependency between Education and
Purchase frequency toward Dhiraj Sons.
Linear-by-Linear Association test whether the two variable
correlate with each other. Here Sig. value is 0.196, so it indicates
the meaningless correlation between Education and Purchase
frequency.
.: Demographic Profile of Customers:
Age group
Age group Frequency Percent
Below 20 12 6.0
21-30 82 41.0
31-40 64 32.0
41-50 28 14.0
51-60 9 4.50
Above 60 5 2.50
Total 200 100
Inference:
From the above graph 41.0% responded out of 200, visit Dhiraj Sons are
of 20-30 years therefore we can says that the 20-30 years youngsters
prefer shopping at Dhiraj Sons. So our target customer group id 21 year
to 40 years old people.
Income
Income Frequency Percent
Dependent 100 50.0
Below 15000 44 22.0
15001-25000 35 17.5
Above 25000 21 10.5
Total 200 100
Inference:
From the above graph 50.0% responded out of 200, visit Dhiraj Sons are
dependent therefore we can says that the most of customers comes
Dhiraj Sons are dependent. So we can try to influence those customer
who are independent by income.
occupation
Occupation
Frequency Percent
Student 21 10.5
Housewife 77 38.5
Business 37 18.5
Professional 11 5.5
Service 49 24.5
Retire 5 2.5
Total 200 100
Inference:
From the above graph 38.5% responded out of 150, visit Dhiraj Sons are
housewives therefore we can says that the Most of Housewives are comes
at Dhiraj Sons.
Responder’s Marital status
Marital status Frequency Percent
Single 54 27
Married 146 73
Total 200 100
Inference:
From the above graph 73% responded out of 200, visit Dhiraj Sons are
married therefore we can says that the customers comes at Dhiraj Sons
are most of married.
Education
Education Frequency Percent
Illiterate 4 2.0
S.S.C 25 12.5
H.S.C 23 11.5
Graduate 99 49.5
Post graduate 43 21.5
Other 6 3.0
Total 200 100
Inference:
From the above graph 49.5% responded out of 200, visit Dhiraj Sons are
Graduate therefore we can says that the people comes at Dhiraj Sons
most of them are Graduate.
Gender
Gender Frequency Percent
Male 84 42.0
Female 116 58.0
Total 200 100
Inference:
From the above graph 58% responded out of 200, visit Dhiraj Sons are
female therefore we can says that the most of females are the customers
of Dhiraj Sons.
Occupation
Occupation
Frequency Percent
Student 21 10.5
Housewife 77 38.5
Business 37 18.5
Professional 11 5.5
Service 49 24.5
Retire 5 2.5
Total 200 100
CHAPTER-6
FINDINGS
&
CONCLUSION
FINDINGS:-
All together 69%of Responders visit Dhiraj sons Once in a week and
30% customers are visit the Dhiraj sons once in a month and only
1% customers are the yearly shoppers.
The customers are above neutral level i.e. (4.14) with statement
that merchandise quality of the store is good.
The customers are above neutral level i.e. (3.95) with statement
that over all cleanliness of the store is good.
The customers are above neutral level i.e. (3.95) with statement
that atmosphere and decoration of the store is good.
The customers are above neutral level i.e. (3.70) with statement
that Courtesy of service from employee is good enough.
The customers are above neutral level i.e. (3.41) with statement
that speed of service in the store is good but it is in between in
neutral and agree.
The customers are above neutral level i.e. (3.78) with statement
that varieties of merchandise are available in the store.
The customers are above neutral level i.e. (3.74) with statement
that the customers are satisfies with the price of merchandise.
The customers are above neutral level i.e. (3.92) with statement
that the store is near to their home.
In this case, KMO value is .791, it is near to .8 so we can say that
level of distribution value of data set is meritorious.
Following are two important factor consider most important while
taking purchase decision according to Factor Analysis
Factor 1- Quality, Cleanliness, Atmosphere and Décor
Factor 2: Courtesy of services, Speed of services
The lacking factor in the Factor are Price reasonableness,
convenient location.
The meaningless correlation between Income and Purchase
frequency, Age and Purchase frequency, Occupation and Purchase
frequency and Gender and Purchase frequency
Conclusion
The most of the responders are not satisfied with the speed of
the service provide by the Dhiraj sons.
The quality of product provided by the Dhiraj sons is appreciated
by the responders.
The most of the peoples are mostly come at least in a week.
The peoples are mostly depends on the quality, cleanliness and
atmosphere & decoration.
The peoples are mostly emphasis on courtesy and speed of the
service provides by the Dhiraj sons.
Suggestions
Dhiraj sons should attract the monthly shoppers in order to increase
the sales by introducing such weekly schemes.
Dhiraj sons should increase its speed of services of the store.
To increase Courtesy of service from the employees Dhiraj sons
should conduct training program for their employees.
As per the factor analysis Dhiraj sons is lacking in the factor of
reasonable price so focus on it by making the price of merchandise
reasonable and provide different discount offers for the customers.
The good features looked by the customers in a store are Quality,
Cleanliness, Atmosphere and Decoration, Courtesy of services,
Speed of services so continue to focus on these factors.
CHAPTER-8
Bibliography
1) Donald R Cooper & Pamela S Schindler Business Research Methods
Eighth Edition (2003), Tata McGraw-Hill, New York.
2) Darren George & Paul Mallery, SPSS For Windows Step By Step, Sixth
Edition (2006), Pearson Education, Inc.
3) S P Gupta, Statistical Methods, Thirty Fifth Revised Edition (2007),
Sultan Chand & Sons Education Publishers, New Delhi
4) Christopher Lovelock, Jochen Wirtz & Jayanta Chatterjee, Service
Marketing Fifth Edition, Dorling Kindersley (India) Pvt. Ltd., Licensees of
Pearson Education in South Asia.
5) Kishor Biyani, It Happen In India, Rupa & Co (2007), New Delhi
6) www.pantaloons.com
CHAPTER-9
ANNEXURE
Reference
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