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    A REASEARCH REPORT

    ON

    A STUDY ON CONSUMER PREFERENCE TOWARDS CHOICE

    OF RETAIL OUTLET WITH SPECIAL FOCUS ON GROCERY

    ITEMS AT BHILAI & DURG REGION

    Submitted in partial fulfilment for the award of the degree

    Master of Business Administration

    Chhattisgarh Swami Vivekanand Technical University, Bhilai

    Submitted by,

    R.SARASWATI

    MBA Semester 2nd

    (Session 2013)

    Approved By,

    Dr. Souren SarkarHead of the Department

    Guided By,

    Ms.Smruty Shah

    Sr. Asstt. Professor

    Shri Shankaracharya Engineering

    College

    Junwani, Bhilai (C.G.) - 490020

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    DECLARATION

    I the undersigned solemnly declare that the report of the research work entitled A

    study on consumer choice of retail outlet with special focus on grocery items atBhilai and Durg is based on my own work carried out during the course of my study

    under the supervision ofMs Smruty Shah.

    I assert that the statements made and conclusions drawn are an outcome

    of my research work. I further declare that to the best of my knowledge and belief

    the report does not contain any part of any work which has been submitted for

    the award of MBA degree or any other degree/diploma/certificate in this

    University or any other University of India or abroad.

    _________________(Signature of the

    Candidate)Name R

    Saraswati

    Enrolment

    No:AK5531

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    Certificate from supervisor

    This is to certify that the work incorporated in the report A study on consumer

    choice of retail outlet with special focus on grocery items at Bhilai and

    Durgis a record of research work carried out byMs. R.Saraswati bearing Enrollment

    No.: AK5531 under my/our guidance and supervision for the part fulfillment for the

    award of MBA Degree of Chhattisgarh Swami Vivekanand Technical University, Bhilai

    (C.G.), India.

    To the best of my knowledge and belief the Report

    i) Embodies the work of the candidate him/herself,

    ii) Has duly been completed,

    iii) Is up to the desired standard both in respect of contents and languagefor external viva.

    _________________

    (Signature of theSupervisor)

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    Acknowledgments

    During the course of my project, there are several people who have directly

    or indirectly co-operated and guided me whenever and wherever it wasnecessary and shared my hardship.

    It is matter of immense pleasure and pride for me to express a deep

    sense of gratitude to my project guide Ms Smruty Shah, Sr. Asst. Professor,

    SSEC-Bhilai for her valuable co-operation and support at each and every

    stage of this project study. I am highly grateful to all faculty members who

    helped me.

    I am thankful to Dr.Souren Sarkar (HOD, Dept. of Business Administration,

    SSEC, Bhilai) for continuing cooperation for our overall growth. My humbleand utmost

    sincere thanks go to all my respondents who have devoted their precious

    time in filling up the Questionnaire.

    I also thank my parents and friends who helped me in successfully

    completed this project.

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    INDEX

    Declaration

    Certificate

    Acknowledgement

    CONTENTS PAGE NO.

    Chapter 1. Introduction to the study 1-3

    Chapter 2. Literature Review 4-8

    Chapter 3. Research Methodology 9-13

    Chapter 4. Data Analysis 14-25

    Chapter 5. Findings 26-27

    Chapter 6. Recommendations 28-29

    Chapter 7. Limitations 30-31

    Chapter 8. Conclusion 32-33

    Chapter 9. References 34-35

    Questionnaire Used 36-39

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    Chapter 1:

    Introduction to the study

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    P a g e | 1

    Introduction to the study

    A: Research Background:

    I have conducted a research on the topic Consumer preference towards choice of retail outlet with

    special focus on grocery at Bhilai and Durg region .

    My research discusses the factors affecting customers relationship marketing practices in organized

    retailing in food and grocery sectors in Bhilai and Durg.

    It examines about the factors which are affecting customers relationship trust, commitment,

    communication and satisfaction towards the customer loyalty. I conducted questionnaire based

    research to find out factors which are affecting customer relationships.

    B: Contribution:

    The retail industry is divided into organized and unorganized sectors. Over 12 million outlets

    operate in the country and only 4% of them being larger than 500 sq ft (46 m2) in size. Organized

    http://en.wikipedia.org/wiki/Industryhttp://en.wikipedia.org/wiki/Industry
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    retailing refers to trading activities undertaken by licensed retailers, that is, those who are registered

    for sales tax, income tax, etc. These include the corporate-backed hypermarkets and retail chains,

    and also the privately owned large retail businesses. Unorganized retailing, on the other hand, refers

    to the traditional formats of low-cost retailing, for example, the local kirana shops, owner manned

    general stores, paan/beedi shops, convenience stores, hand cart and pavement vendors, etc. In

    India, a shopkeeper of such kind of shops is usually known as adukandar.

    The retailers in India have to learn both the art and science of retailing by closely following

    how retailers in other parts of the world are organizing, managing, and coping up with new challenges

    in an ever-changing marketplace. Indian retailers must use innovative retail formats to enhance

    shopping experience and try to understand the regional variations in consumer attitudes to retailing.

    Retail marketing efforts have to improve in the country:

    1. Advertising, promotions, and campaigns to attract customers have to be designed and

    Executed to build loyalty by identifying regular shoppers and offering benefits to them.

    2. Efficient management of high-value customers is vital.

    3. Monitoring customer needs constantly must be done with long-term relationships in view.

    The above are some of the aspects which Indian retailers need to focus upon on a more proactive

    basis.

    P a g e | 2

    Growth Drivers for the Organised Retail are identified over here:

    Higher Disposable Income

    Growing Working Women population

    Adoption of Nuclear Family culture

    Baby Boomer Effect

    Growth in Urban Population

    Robust Outlook towards branded products

    Growth in Retail Malls and various other new formats

    Plastic Money becoming a greater pie of cedi.

    Eight ways to keep customers for life:

    1. Every part of the companys marketing effort should be geared towards building lifetime

    relationships.

    2. People want to do business with friendly people. To have effective relations a friendly attitudemust permeate in the organization.

    http://en.wikipedia.org/wiki/Hypermarketshttp://en.wikipedia.org/wiki/Kiranahttp://en.wikipedia.org/wiki/Paanhttp://en.wikipedia.org/wiki/Shopkeeperhttp://en.wikipedia.org/wiki/Shopkeeperhttp://en.wikipedia.org/wiki/Hypermarketshttp://en.wikipedia.org/wiki/Kiranahttp://en.wikipedia.org/wiki/Paanhttp://en.wikipedia.org/wiki/Shopkeeper
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    3. Information technology developments should be positively used to serve the customers.

    4. The company should always be flexible to bend its rules and procedures in the clients favor.

    5. The company should communicate with its customers even when it is not trying to sell

    something.

    6. The company can communicate and develop stronger customer bonding by providing financial

    and social benefits.

    7. The company should try to know all its customers including their lifestyles, hobbies, likes and

    dislikes etc.

    8. The company should make it a point to deliver more than what is promised.

    P a g e | 3

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    Chapter 2:

    Literature Review

    P a g e | 4

    Literature Review

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    Indian unorganized retail sector & its challenge

    India is the only one country having the highest shop density in the world, with 11

    outlets per 1000 people (12 million retail shops for about 209 million households). Rather we

    can see the democratic scenario in Indian Retail (because of low level of centralization, low

    capital input and due to a good number of self organized retail).India started its Retail

    Journey since ancient time .In Ancient India there was a concept of weekly HAAT, where all

    the buyers & sellers gather in a big market for bartering. It takes a pretty long times to & step

    to shape the modern retail. In between these two concepts (i.e. between ancient retail

    concept & the modern one there exist modern KIRANA/ mom and pop shops or BANIYA KI

    DUKAN.Still it is predominating in India

    So the Indian retail industry is divided into two sectors- organised and unorganised.

    Organised retailsector refers to the sectors undertaken by licensed retailers, that is, those

    who are registered for sales tax, income tax, etc. These include the corporate retail formats

    of the exclusive brand outlets, hypermarkets, supermarkets, departmental stores and

    shopping malls.

    Unorganised retailing, on the other hand, refers to the traditional formats of low-cost

    retailing, for example, hand cart and pavement vendors, & mobile vendors, the local kirana

    shops, owner manned general stores, paan/beedi shops, convenience stores, hardware

    shop at the corner of your street selling everything from bathroom fittings to paints and small

    construction tools; or the slightly more organized medical store and a host of other small

    retail businesses in apparel, electronics, food etc.

    Characteristics of unorganized retail-

    Small-store (KIRANA) retailing has been one of the easiest ways to generate self-

    employment, as it requires limited investment in land, capital and labour. It is generally family

    run business, lack of standardization and the retailers who are running this store they are

    lacking of education, experience and exposure. This is one of the reasons why productivity of

    this sector is approximately 4% that of the U.S. retail industry. Unorganized retail sector is

    still predominating over organized sector in India, unorganized retail sector constituting 98%

    (twelve million) of total trade, while organized trade accounts only for 2%.

    P a g e | 5

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    The reasons might be-

    1. In smaller towns and urban areas, there are many families who are traditionally

    using these KIRANA shops/ 'mom and pop' stores offering a wide range of merchandise mix.

    Generally these KIRANA shops are the family business of these small retailers which they

    are running for more than one generation.

    2. These KIRANA shops are having their own efficient management system and with

    this they are efficiently fulfilling the needs of the customer. This is one of the good reasons

    why the customer doesnt want to change their old loyal KIRANA shop.

    3. A large number of working class in India is working as daily wage basis, at the end

    of the day when they get their wage, they come to this small retail shop to purchase wheat

    flour, rice etc for their supper. For them this the only place to have those food items because

    purchase quantity is so small that no big retail store would entertain this.

    4. Similarly there is another consumer class who are the seasonal worker. During their

    unemployment period they use to purchase from this kirana store in credit and when they get

    their salary they clear their dues. Now this type of credit facility is not available in corporate

    retail store, so this kirana stores are the only place for them to fulfill their needs.

    5. Another reason might be the proximity of the store. It is the convenience stores

    customer. In every corner the street an unorganized retail shop can be found that is hardly a

    walking distance from the customers house. Many times customers prefer to shop from the

    nearby kirana shop rather than to drive a long distance organized retail stores.

    6. This unorganized stores are having n number of options to cut their costs. They

    incur little to no real-estate costs because they generally operate from their residences .Their

    labour cost is also low because the family members work in the store. Also they use cheap

    child labour at very low rates.

    As they are operating from their home so they can pay for their utilities at residential

    rates. Even they cannot pay their tax properly.Currently the value of the retail market is

    estimated at around $ 270 billion with a growth rate of 5.7 per cent per annum according to

    the Indian retail report which creates a big threat for the small unorganized retailers.

    P a g e | 6

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    The well established organized retail sector in India are Pantaloon Retail, Shoppers Stop,

    SPENCERS, HYPERCITY, Lifestyle, SUBHIKSHA & newly emerging Reliance etc.Over

    20,000 new retail outlets are expected to open within this segment. Major corporate retail like

    Wal-Mart and have started to try and take over the Indian retail sector. But in India the

    unorganized retail is a source foods and other necessities of millions of Indians , major link

    between rural and urban societies. Not only that it is also act like a convenience store for the

    customer offering right product at right time at right place. In a country with large numbers of

    people, and high levels of poverty, this model of retail democracy is the most appropriate So

    these unorganized retail sector need to be promoted so that they can organize & supply food

    to Indian consumer.

    Now the question is how to promote this sector-

    The suggestions might be-

    (a) Establishment of Retailer co-operatives among retailers which is highly required for the

    sustenance of the unorganized retail sector.

    (b) Merger and buy-out of weak retailers by a stronger one that would give a new horizon to

    the small retailer.

    (c) Setting up of franchisee organization may also help in strengthening the position of the

    retailers. The franchiser can exert a tremendous control over the way retailing is done.

    (d) There must be good network connection between retail organizations, the suppliers and

    other channel members to use compatible technology so that they can build strong

    distribution set-up to satisfy the customers.

    (e) Setting up of more and more non-store retailing centres would also ensure a strong

    retailing organization. Non-store retailing makes implementation of modern principles easier

    and less costly.

    (d) Moreover there must be a change in the mindset of the unorganized retailer. They have to

    understand the pulse of the trend. They have to understand, come forward & lead this

    change management then only this sector not only can exist but flourish.

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    P a g e | 7

    ORGANISED RETAILING

    Organized retail is nothing but a retail place all the items are segregated and broughtunder one roof, unlike the unorganized retail where there are different things are sold in

    different shops. It also aims to bring maximum of different brands making the same

    type of product together. The retail sector is presently undergoing a transition in India.

    Previously, customers used to go to kirana stores to purchases their necessities. This

    later changed to bigger shops run by one man with a few employees. Here, all the work

    was done manually. Gradually, more sophistication seeped into this sector and

    department stores came into being.

    Organized vs. unorganized retail: Making an issue of a non-issue

    The so-called negative impact of organized retail on unorganized retail is being

    exaggerated; ironically, those who exaggerate also talk of democracy! It is time these

    people realized that in a vibrant democracy one should live and let live.

    The 5 main factors that go into defining a customer satisfaction:

    1) Quality- Quality is what customer perceive to be.

    2) Performance- Product service is ready to use, product availability, reliability.

    3) Service- Provide the service at right time even through features and benefits to

    consumers.

    4) Price- Now a day customers is ready to give high price towards quality, expects to get

    good products in lower price.

    5) Convenience- Supermarket located at right area and parking facility makes it

    convenient for the people comes and purchase.

    (http://pure.au.dk/portalstudent/files/13372/MT_Nikolas_Fritz.pdf&sa=u&ei=GNBOUee

    5Njci4Aov30DoDw&ved=oCAkQFjAA&usg=AFQjCNHmk1tmA1hMc9p2l5j3dA3HNVtE

    mQ)

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    P a g e | 8

    Chapter 3:

    ResearchMethodology

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    P a g e | 9

    Research Methodology

    Research Methodology is the way to systematically solve a research problem. In it the

    various steps are followed that are generally adopted in the study along with the logic behind

    them. It is a conceptual structure with in which the study is conducted. It constitutes the blue

    print for the collection, measurement and analysis of data.

    Causal research design has been taken to conduct the study. Data collection has been

    organized through primary source for which questionnaire containing 5-point likerts scale has

    been used. A convenience sampling has been used to collect data. 100 respondents were

    the customers of textile industry. The samples collected from the city Bhilai.

    Research Objectives:-

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    1. To identify the factors influencing customer relationship management at food

    and grocery sector in Bhilai-Durg.

    2. To evaluate the impact of the factors and take out the most significant factor

    affecting FOOD and GROCERY sector.

    RESEARCH PLAN:

    Research Design Descriptive

    Research Instrument Structured questionnaire

    Measurement Scale 5 point Likerts Scales

    P a g e | 10

    Sample Plan/Research Plan:

    RESEARCH PLAN

    Research Design: Descriptive

    Research Method Used Survey

    Research Technique Used Questionnaire

    Data Collection From Durg, Bhilai

    Sampling Plan Convenience

    Sample Size 70

    Data Collection:-

    Primary Data Collection - It was collected during the interaction with

    people through questionnaire and personal interaction.

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    Secondary Data Collection The data collection was done through

    literature and information obtained from various sources to increase the

    effectiveness of the research. On the other hand, these are those which have

    already been passed through the statistical process .Inputs were obtained from:

    o Websites.

    o Magazines.

    o Books.

    o Journals.

    P a g e | 11

    Questionnaire Design:-

    It translates the information needed into a set of specific questions that the respondents can

    and will answer.

    Descriptive Statistics:-

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    Measure ItemNumber of

    Respondents

    Age

    50 00

    Annual

    Income

    6

    Lakhs00

    GenderMale 38

    Female 32

    Total 70

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    P a g e | 12

    Research model

    Infrastructure

    Risk

    Relative

    Attractiveness/

    Satisfaction

    Intention

    to

    Purchase

    Ease to

    purchase

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    Objective:

    1: To know the impact of easy of purchase & infrastructure & risk on relative

    attractiveness.

    2:To understand the impact on attractiveness on intention to purchase.

    Hypothesis

    H1: Easy to purchase has a significant impact on relative attractiveness.

    H2: Infrastructure has a significant impact on relative attractiveness.

    H3: Risk has a significant impact on relative attractiveness.

    H4: Relative attractiveness has a significant impact on intention to purchase.

    P a g e |13

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    Chapter 4:

    Data Tabulation, Analysis

    and Results

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    P a g e | 14

    Data Tabulation, Analysis and Results

    SPSS:-

    SPSS is a popular statistics program used in a variety of scientific disciplnes.It is

    composed of two facets, the statistical package itself and the SPSS language a system of syntax

    used to execute commands and procedure. Likewise there are two approaches to using SPSS: (A)via

    the menu system and point and click approach and (b) via the use of SPSS programming syntax

    .Most users will find a combination of these approaches most effective in carrying out their data

    analysis. At the University of North Texas, we have obtained the licenses of the software of windows

    and Mac OSX.In this series we will focus on SPSS for windows which is a complete data analysis

    program with many capabilities and applications. The requirement for PCs and Macs are as follows.

    While those requirement are for version 16,labs on campus do not yet use 16(and from our point of

    view at RSS you are better off as such).

    ADVANTAGE OF SPSS:-

    1. Find unusual data.

    2. Purpose and transform data.

    3. Save excel table to native SPSS data find.

    4. Analysis everywhere

    5. An analytics shift.

    CLUSTER METHODOLOGY

    Cluster Analysis:

    Cluster analysis consists of methods of classifying variables into clusters. Technically, a

    cluster

    Consists of variables that correlate highly with one another and have comparatively low

    correlations

    With variables in other clusters.

    The basic objective of cluster analysis is to determine how many

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    Mutually and exhaustive groups or clusters, based on the similarities of profiles among

    entities, really exist in the population and then to state the composition of such groups.

    Various groups to be determined in cluster analysis are not predefined as happens to be

    the case in discriminate analysis.

    P a g e | 15

    Steps: In general, cluster analysis contains the following steps to be performed:

    (i) First of all, if some variables have a negative sum of correlations in the correlation

    matrix, One must reflect variables so as to obtain a maximum sum of positive

    correlations for the Matrix as a whole.

    (ii) The second step consists in finding out the highest correlation in the correlation

    matrix and

    The two variables involved (i.e., having the highest correlation in the matrix) form the

    nucleus

    Of the first cluster.

    (iii) Then one looks for those variables that correlate highly with the said two variables

    and

    Includes them in the cluster. This is how the first cluster is formed.

    (iv) To obtain the nucleus of the second cluster, we find two variables that correlate

    highly but Have low correlations with members of the first cluster. Variables that

    correlate highly with the said two variables are then found. Such variables along the said

    two variables thus constitute the second cluster.

    (v) One proceeds on similar lines to search for a third cluster and so on.

    From the above description we find that clustering methods in general are judgemental

    and are

    Devoid of statistical inferences. For problems concerning large number of variables,

    various cut-andtry

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    Methods have been proposed for locating clusters. McQuitty has specially developed a

    number of

    Rather elaborate computational routines* for that purpose. In spite of the above stated

    limitation, cluster analysis has been found useful in context of market research studies.

    Through the use of this technique we can make segments of market of a product on the

    basis of several characteristics of the customers such as personality, socio-economic

    considerations, psychological factors, purchasing habits and like ones. Cluster analysis is

    an exploratory data analysis tool for solving classification problems.

    Its object is to sort cases (people, things, events, etc) into groups, or clusters, so that

    the degree of association is strong between members of the same cluster and weak

    between members of different clusters.

    Each cluster thus describes, in terms of the data collected, the class to which its

    members belong; and this description may be abstracted through use from the particular

    to the general class or type. Cluster analysis is thus a tool of discovery.

    P a g e | 16

    It may reveal associations and structure in data which, though not previously evident,

    nevertheless are sensible and useful once found. The results of cluster analysis may

    contribute to the definition of a formal classification scheme, such as a taxonomy for

    related animals, insects or plants; or suggest statistical models with which to describe

    populations; or indicate rules for assigning new cases to classes for identification and

    diagnostic purposes; or provide measures of definition, size and change in what

    previously were only broad concepts; or find exemplars to represent classes.

    Whatever business you're in, the chances are that sooner or later you will run into a

    classification problem. Cluster analysis might provide the methodology to help you solve

    it; and Clustan could provide the professional software you need for that task.

    Cluster analysis

    Cluster analysis for ease to purchase:-

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    Final Cluster Centers

    Cluster

    1 2 3

    Age 3 2 2

    Gender 0 1 0

    Annualincome 3 4 2Occupation 4 1 2

    Easetopurchase

    11 1 2

    Easetopurchase

    22 3 2

    Easetopurchase

    32 3 2

    Easetopurchase

    4 2 3 3

    Easetopurchase

    52 1 3

    P a g e | 17

    Number of Cases in each

    Cluster

    Cluster 1 34.000

    2 1.000

    3 35.000

    Valid 70.000

    Missing .000

    Demographic and clustering of ease to purchase for cluster-1

    34 respondent out of 70 in cluster 1 the ease to purchase1 shown strongly agree , ease to purchase2, ease to

    purchase3, ease to purchase4, ease to purchase5 these are shown agree.

    These 34 respondent out of 70 in cluster 1 which belongs to age group of 31-40 and they are male and their

    annual income is comes under 3-4.5lakhs and their occupation comes under professional

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    Demographic and clustering of ease to purchase for cluster-2 1 respondent out of 70 in cluster 2 the ease

    to purchase1 shown strongly agree, ease to purchase2, ease to purchase3, ease to purchase4 these are shown

    neutral and ease to purchase5 shown strongly agree.

    These 1 respondent out of 70 in cluster 2 which belongs to age group of 21-30 and they are female and their

    annual income is comes under >4.5lakhs and their occupation comes under student.

    Demographic and clustering of ease to purchase for cluster-335 respondend out of70 in cluster 3 the ease to puschase1 shown strongl agree,ease to purchase2, ease to

    purchase3, ease to purchase 4 and ease to purchase5 shown agree.

    35 respondent out of 70 in cluster 3 which belongs to age group of 21-30 and they are male and their 35

    respondent out of 70 in cluster 3 the ease to purchase1, ease to purchase2, ease to purchase3 these are annual

    income is comes under 1.5-2.99lakhs and their occupation comes under business person.

    P a g e | 18

    Cluster analysis for infrastructure:-

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    Final Cluster Centers

    Cluster

    1 2 3

    Age 2 3 2

    Gender 1 0 0

    Annualincome 2 4 2

    Occupation 4 2 1

    Infrastructure

    11 2 1

    Infrastructure

    22 2 2

    Number of Cases in each

    Cluster

    Cluster 1 24.000

    2 19.000

    3 27.000

    Valid 70.000

    Missing .000

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    Demographic and clustering of infrastructure for cluster-1

    24 respondent out of 70 in cluster 1 the infrastructure1 shown strongly agree and infrastructure2 shown agree.

    These 24 respondent out of 70 in cluster 1 which belongs to age group of 21-30 and they are female and their

    annual income is comes under 1.5-2.99lakhs and their occupation comes under professional.

    Demographic and clustering of infrastructure for cluster-2

    19 respondent out of 70 in cluster 2 the infrastructure1 and infrastructure2 shown agree.

    These 19 respondent out of 70 in cluster 2 which belongs to age group of 31-40 and they are male and their

    annual income is comes under >4.5lakhs and their occupation comes business person.

    P a g e | 19

    Demographic and clustering of infrastructure for cluster-3

    27 respondent out of 70 in cluster 3 the infrastructure1 shown strongly agree and infrastructure2 shown agree.

    These 27 respondent out of 70 in cluster 3 which belongs to age group of 21-30 and they are male and their

    annual income is comes under 1.5-2.99lakhs and their occupation comes student.

    Cluster analysis for risk:-

    Final Cluster Centers

    Cluster

    1 2 3

    Age 3 2 2

    Gender 0 0 0

    Annualincome 3 2 2

    Occupation 3 4 1

    Risk1 1 1 2

    Risk2 3 2 2

    Risk3 3 2 2

    Number of Cases in each Cluster

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    Cluster 1 11.000

    2 25.000

    3 33.000

    Valid 69.000

    Missing 1.000

    Demographic and clustering of risk for cluster-111 respondent out of 70 in cluster 1 the risk1 shown

    strongly agree, risk2 and risk3 shown neutral.

    These 11 respondent out of 70 in cluster 1 which belongs to age group of 31-40 and they are male and their

    annual income is comes under 3-4.50lakhs and their occupation comes under service person.

    Demographic and clustering of risk for cluster-2

    25 respondent out of 70 in cluster 2 the risk1 shown strongly agree, risk2 and risk3 shown agree.

    These 25 respondent out of 70 in cluster 2 which belongs to age group of 21-30 and they are male and their

    annual income is comes under 1.5-2.99akhs and their occupation comes under professional.

    P a g e | 20

    Demographic and clustering of risk for cluster-3

    25 respondent out of 70 in cluster 2 the risk1 shown strongly agree, risk2 and risk3 shown agree.

    These 25 respondent out of 70 in cluster 2 which belongs to age group of 21-30 and they are male and their

    annual income is comes under 1.5-2.99akhs and their occupation comes under professional

    Cluster analysis for relative attractiveness:-

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    Final Cluster Centers

    Cluster

    1 2 3

    Age 3 3 2

    Gender 0 0 0

    Annualincome 2 3 2Occupation 3 4 1

    Relativeattractivenes

    s13 1 2

    Relativeattractivenes

    s22 3 2

    Relativeattractivenes

    s32 3 2

    Number of Cases in each

    Cluster

    Cluster 1 16.000

    2 23.000

    3 31.000

    Valid 70.000

    Missing .000

    Demographic and clustering of risk for cluster-1

    11 respondent out of 70 in cluster 1 the risk1 shown strongly agree, risk2 and risk3 shown neutral.

    These 11 respondent out of 70 in cluster 1 which belongs to age group of 31-40 and they are male and their

    annual income is comes under 3-4.50akhs and their occupation comes under service person.

    P a g e | 21

    Demographic and clustering of risk for cluster-2

    25 respondent out of 70 in cluster 2 the risk1 shown strongly agree, risk2 and risk3 shown agree.

    These 25 respondent out of 70 in cluster 2 which belongs to age group of 21-30 and they are male and their

    annual income is comes under 1.5-2.99akhs and their occupation comes under professional.

    Demographic and clustering of risk for cluster-3

    25 respondent out of 70 in cluster 2 the risk1 shown strongly agree, risk2 and risk3 shown agree.

    These 25 respondent out of 70 in cluster 2 which belongs to age group of 21-30 and they are male and their

    annual income is comes under 1.5-2.99akhs and their occupation comes under professional

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    Cluster analysis for relative attractiveness:-

    Final Cluster Centers

    Cluster

    1 2 3

    Age 3 3 2

    Gender 0 0 0

    Annualincome 2 3 2

    Occupation 3 4 1

    Relativeattractivenes

    s13 1 2

    Relativeattractivenes

    s22 3 2

    Relativeattractivenes

    s32 3 2

    P a g e | 22

    Number of Cases in each

    Cluster

    Cluster 1 16.000

    2 23.000

    3 31.000

    Valid 70.000

    Missing .000

    Demographic and clustering of relative attractiveness for cluster-1

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    16 respondent out of 70 in cluster 1 the relative attractiveness1 shown neutral, relative attractiveness2 and

    relative attractiveness3 shown agree.

    These 16 respondent out of 70 in cluster 1 which belongs to age group of 31-40 and they are male and their

    annual income is comes under 1.5-2.99akhs and their occupation comes under business person.

    Demographic and clustering of relative attractiveness for cluster-2

    23 respondent out of 70 in cluster 2 the relative attractiveness1 shown strongly agree, relative attractiveness2

    and relative attractiveness3 shown neutral.

    These 23 respondent out of 70 in cluster 2 which belongs to age group of 31-40 and they are male and their

    annual income is comes under 3-4.5akhs and their occupation comes under professional.

    Cluster analysis for intention to purchase:-

    Cluster

    1 2 3

    Age 2 3 3

    Gender 0 0 0

    Annualincome 2 3 3

    Occupation 1 4 4

    Intentiontopurchase1 1 4 1

    Intentiontopurchase2 2 2 3

    P a g e | 23

    Number of Cases in each

    Cluster

    Cluster 1 34.000

    2 10.000

    3 26.000

    Valid 70.000Missing .000

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    Demographic and clustering of intention to purchase for cluster-1

    34 respondent out of 70 in cluster 1 the intention to purchase1 shown strongly agree, intention to purchase2

    shown agree.

    These 34 respondent out of 70 in cluster 1 which belongs to age group of 21-30 and they are male and their

    annual income is comes under 1.5-2.99akhs and their occupation comes under student.

    Demographic and clustering of intention to purchase for cluster-2

    10 respondent out of 70 in cluster 2 the intention to purchase1 shown disagree, intention to purchase2 shown

    agree.

    These 10 respondent out of 70 in cluster 2 which belongs to age group of 31-40 and they are male and their

    annual income is comes under 3-4.50akhs and their occupation comes under professional.

    Demographic and clustering of intention to purchase for cluster-3

    26 respondent out of 70 in cluster 3 the intention to purchase1 shown strongly agree, intention to purchase2

    shown neutral.

    These 26 respondent out of 70 in cluster 3 which belongs to age group of 31-40 and they are male and their

    annual income is comes under 3-4.50akhs and their occupation comes under professional.

    P a g e | 24

    Section will contain the demographic characteristics of the respondents.

    A sample is shown below:

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    Measur

    eItem

    Number of

    Respondents

    Age

    50 00

    Annual

    Income

    6 Lakhs 00

    Gender Male 38

    Female 32

    Total 70

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    P a g e | 25

    Chapter 5:

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    Findings of the study

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    Findings of the study

    Applying data analysis in my research it revealed that merchandise; quality of product, brand ofproduct, price of product, range of product are the most significant factors of customer satisfaction

    among people visiting supermarket, malls and kirana shops.

    It revealed that service; delivery of product, behavior of salesmen, return policy, experience of billing

    counter and convenience; location of store, parking facility, organization of assortment in store,

    arrangement of carrying good are the satisfied factor that influence the customer satisfaction of people

    visiting supermarket, malls and kirana shops.

    Here promotion is the dissatisfied which does not influence the customer satisfaction of people visiting

    supermarket.

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    Chapter 6:

    Recommendations

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    P a g e | 28

    Recommendations

    After research I want to suggest of supermarket, malls and kirana shops from

    which they could increase our sales.

    1) 26% people are dissatisfied from parking facility of supermarket, malls and

    kirana shops, so efforts must be taken in development of parking facility

    due to which more people will come in supermarket and kirana shops.

    2) 40% people want discount on the product, I suggest, they should provide a

    scheme of discount on the service and one service should be provided free

    to the customers who came service for five times.

    3) An important suggestion to supermarket and kirana shops is that should

    concentrate on the publicity of their supermarket so that awareness level

    of the people of this area should be increase.

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    P a g e | 29

    Chapter 7:

    Limitations

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    P a g e | 30

    Limitations

    During conducting period of this research I got the following limitations-

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    1) The research period was short period to carryout study with almost precautions.

    2) Sometime the respondents are not available at their place.

    3) Very often responded do not express their true feelings. In such case their habit, preference,

    practice can not be assessed correctly.

    4) Some of the respondents refuse to give the important best known to them.

    5) I have taken 70 sample from Bhilai, the finding are based on those sample.

    Hence I cannot be 100% sure that are representing the population of Bhilai.

    However in spite of these limitations all efforts have been put to make the report

    correct, genuine and fulfilling the objectives of the reports.

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    Chapter 8:

    Conclusion

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    Conclusion

    In conclusion, it can be said that there should be highly availability of products in

    supermarket, malls and kirana shops. Most of the factors which influence the

    customer to purchase that are quality, brand, advertisement of product and

    discount of the product these are helpful to increase the sales of this.

    Business class people, service, professionals, student as well as

    people are the customer who highly requires these products as the quality of

    concerned. It may be bring a bright day for these product of supermarket, malls ,

    and kirana shops. If there are taken on the right way because as this age is

    concert everyone needs convenient , atmosphere in everything whatever they

    can be availed.

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    Chapter 9:

    References

    P a g e | 34

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    REFERENCES

    Citation from Books:

    P.Kotler, Kevin lane Keller,Abraham Koshy and Mithileshwar Jha Marketingmanagement pearson ed. , a south asian perspective ed. , Press, 13th ed.,1995, ISBN No.: 0987654.

    Citation from Website:

    http://en.wikipedia.org/wiki/Trust-based_marketing

    http://en.wikipedia.org/wiki/Customer_satisfaction

    http://www.pb.com/Management-Services/Services/Customer-

    Communications-Management/index.shtml

    http://www.customerloyalty.org/what-is-customer-loyalty/

    http://searchcrm.techtarget.com/definition/relationship-marketing

    P a g e | 35

    http://searchcrm.techtarget.com/definition/relationship-marketinghttp://searchcrm.techtarget.com/definition/relationship-marketing
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    Questionnaire

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    Questionnaire

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    I am a student of MBA II semester from Shri Shankaracharya Engineering College, Bhilai. As a part of my

    curriculum I am conducting a study on Consumer Preference Towards Choice Of Retail Outlet With

    Special Focus On Grocery Items at Bhilai & Durg region for examining Consumer satisfaction and future

    purchase practices. I would be grateful to you for providing candid responses. I assure that information provided

    by you would be used for research purpose and will be kept confidential.

    1. Your perception towards easy to purchase a as a factor of consumer satisfaction & future purchase of

    foods & grocery products from organized retail store at bhilai & durg region.

    Features

    Strongly

    agree

    1

    Agree

    2

    Neutral

    3

    Disagree

    4

    Strongl

    y

    disagre

    e5

    1.1 Huge availability of variety of foods & groceryproduct in organized retail store.

    2

    1.2 Organized retail store provides better qualityproduct.

    1.3 Quantity of every product is available organized retailstore.

    1.4 Selection of product food & grocery are easy inorganized retail store.

    1.5 Shopping is convenience in organized retail

    2. Your perception towards infrastructure as a factor of consumer satisfaction & future purchase of

    foods & grocery products from organized retail store at bhilai & durg region.

    Features Strongly

    agree 1

    Agree

    2

    Neutral

    3

    Disagree

    4

    Strongly

    disagree 5

    2.1 The store location can change the purchasedecision.

    2.2 The climate of organized retail store is goodthen normal kirana.

    2.3 The visual merchandising of organized retailstore are good

    2.4 Size of the organized retail store is sufficient to

    move.

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    3. Your perception towards Risk as a factor of consumer satisfaction & future purchase of foods &

    grocery products from organized retail store at bhilai & durg region.

    4. Your perception towards relative attractiveness.

    Features stronglyagree

    1

    Agree

    2

    Neutral

    3

    Disagree

    4

    Strongly

    disagree

    5

    4.1 The easy of purchase can affect the relative attractiveness

    of organized retail store.

    4.2 The infrastructure increases the relative attractiveness of

    organized retail store.

    4.3 The risk can affect the relative attractiveness of organizedretail store.

    5. Your perception towards intention to purchase.

    Features Stronglyagree

    1

    Agree

    2

    Neutral

    3

    Disagree

    4

    Strongly

    disagree

    5

    5.1 The relative attractiveness create impact on intention topurchase.

    5.2 What is your perception about post purchase?

    P a g e | 38

    Features Stronglyagree

    1

    Agree

    2

    Neutral

    3

    Disagree

    4

    Strongly

    disagree

    5

    3.1 Distance of retail store can affect the purchasedecision.

    3.2 In organized retail store there is the problem ofexchange of product

    3.3 In organized retail store there is the problem ofdamage on the way.

    3.4 Will you again purchase foods & grocery productfrom organized retail store?

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    4 Personnel detail

    4.1Name /

    Optional

    4.2 Ageo 40

    4.3 Gender o Male o Female

    4.4Annual Income

    (Rs. Lakhs) o 4.5

    4.5 Occupationo Student

    o Business

    Person

    o Service

    Persono Professional o Household

    o Other

    (Specify)