Impulsive Buying and Retail Therapy

3493 Words Sep 30th, 2012 14 Pages
Table of Contents

S No | Chapters | Page No | 1. | Chapter 1Introduction | 4 | 2. | Chapter 2Review Of Literature | 5 | 3. | Chapter 3Methodology | 6 | 4. | Chapter 4Data Analysis | 7 | 5. | Chapter 5Summary | 13 | 6. | Chapter 6Conclusion | 15 | 7. | Chapter 7Bibliography | 16 | 8. | Chapter 8Appendix | 17 |

List of Tables

Table N o. | Table name | Page No. | 1. | Demographics of Respondents | 7 | 2. | Modes of Shopping | 8 | 3. | Modes of Payment | 8 | 4. | Credit/ Debit Cards Owned by the Customer | 9 | 5. | Impact of Shopping on Mood | 10 | 6. | Traits and behaviours about the Customer during shopping | 11 | 7. | Experiences of customers during shopping | 12 |

List
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3. Pilot Study:
To test the feasibility of the tool of data collection, a pilot study was conducted with a sample size of 10 respondents(6 students and 4 working professionals) by means of stratified random sampling. A questionnaire of 21 questions was prepared to gather the required information from the respondents.

4. Hypotheses:
H1: Women are more impulsive buyers than men and need retail therapy more often.
H2: Plastic Money promotes impulsive buying.

5. Data Collection:

A) Primary Data:
Primary data was collected from a first-hand experience and with the help of self-administered questionnaire.A sample of the final questionnaire is presented on page 17 under Chapter 8 as Appendix.

B) Secondary Data:
Secondary data was collected from journals, books, previous research papers and internet.

6. Analysis of Data:
The data collected has been analysed and presented in form of tables and graphs under Results in Chapter 4 on page #. Statistical tools such as correlation, standard deviation etc. were also employed.

Chapter 4
Data Analysis
The results of the study are presented in the form of tables.
Table 1:Demographics of Respondents SrNo | General Information | Number | Percentage | 1. | Age (in years) | | a. | <20 | 2 | 4 | b. | 21-30 | 46 | 92 | c. | 31-40 | 1 | 2 | d. | >40 | 1 | 2 | 2. | Gender | | a. | Male | 22 | 44 | b. | Female | 28 | 56 | 3. | Monthly Income |
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