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consumer attitude towards online shopping in coimbatore city, Thesis of Retail Marketing

Its about marketing.By this research we found the attitude of consumers in online shopping.

Typology: Thesis

2017/2018

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CONSUMER ATTITUDE TOWARDS ONLINE SHOPPING IN
COIMBATORE CITY
Abinaya. C (16PBA001)
Arivazhagi. S (16PBA002)
Bhavadharani. S (16PBA003)
A Mini Project Report Submitted to Avinashilingam Institute for Home
Science and Higher Education for Women, Coimbatore in partial
fulfillment of the requirements for the Master Degree in Business
Administration.
April 2017
CONSUMER ATTITUDE TOWARDS ONLINE SHOPPING IN
COIMBATORE CITY
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CONSUMER ATTITUDE TOWARDS ONLINE SHOPPING IN

COIMBATORE CITY

Abinaya. C (16PBA001)

Arivazhagi. S (16PBA002)

Bhavadharani. S (16PBA003)

A Mini Project Report Submitted to Avinashilingam Institute for Home

Science and Higher Education for Women, Coimbatore in partial

fulfillment of the requirements for the Master Degree in Business

Administration.

April 2017

CONSUMER ATTITUDE TOWARDS ONLINE SHOPPING IN

COIMBATORE CITY

Abinaya. C (16PBA001)

Arivazhagi. S (16PBA002)

Bhavadharani. S (16PBA003)

A Mini Project Report Submitted to Avinashilingam Institute for Home

Science and Higher Education for Women, Coimbatore in partial

fulfillment of the requirements for the Master Degree in Business

Administration.

April 2017

Signature of the Supervisor Signature of the HOD Signature of the Examiner

ACKNOWLEDGEMENT

The researchers would like to thank the Chancellor Shri.

Dr.P.R.Krishnakumar, the Vice Chancellor Dr .Premavathy Vijayan and Registrar Dr. S. Kowsalya, of Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore for providing all requirements facility for

completing the mini project work.

S. No Particulars Page. No

  1. Introduction 1.1 Objectives 1.2 Scope 1.3 Limitations
  2. Review Of Literature
  3. Research Methodology
  4. Analysis and interpretation
  5. Summary and conclusions 5.1 Findings 5.2 Suggestions 5.3 Conclusion Bibliography Annexure

SYNOPSIS

The report is the outcome of the project entitle ‘ASSESSING CONSUMER

ATTITUDE TOWARDS ONLINE SHOPPING IN COIMBATORE CITY’

The source of data collection is primary data. In this the researcher collects the data from the respondents by means of structured questionnaire. The sample size

selected for this study is 120 which have been distributed among People in Coimbatore city.

The sampling procedure used in this project is Non-Probability sampling.

Some of the tools used in this research for analyzing the data are simple Percentage, Regression, One way ANOVA and t-test.

LIST OF TABLES

LIST OF TABLES

INTRODUCTION

CHAPTER-

INTRODUCTION

Online shopping is a major part of the overall electronic commerce, ore-commerce, industry which consists of all the buying and selling of goods and services over electronic systems such as the internet and other computer networks by

households, businesses and other agencies. With the spread of the internet, the amount or trade that is conducted electronically has seen extraordinary growth; and

has led to innovations and development in areas such as electronic funds transfer, electronic data interchange and internet marketing. Despite this, many traditional,

brick-and-mortar retailers recognized the valuable markets these companies had identified, and took steps to add e-commerce capabilities to their own websites.

New methods of sending payments, such as e-shopping carts, electronic payment services and secured credit card payment authorizations became more widely used.

The emergence of e-commerce as a viable alternative to traditional retailing models has also had other effects. By significantly reducing the barriers of entry for the sale of many types of products, e-commerce has allowed sellers to enter the market who may not have had this ability prior to the advent of the internet.

The term “Online shopping” is the process whereby consumers directly buy goods or services from a seller in real-time, without an intermediary service, over the Internet.

Due to the rapid development of the technologies surrounding the Internet, companies which are interested to sell their products through their website even though buyers and sellers can be thousands of miles apart, may belong to different parts of world, might speak different languages also. Since Internet is a new virtual medium and so many potential consumers, the online retailers is most important to understand the wants and needs of consumers. The importance of analyzing and identifying the factors influencing the consumer when he or she decides to purchase on the Internet is vital because new virtual market will bring significant differences to the consumers.

Analyzing consumer behaviour is not a new phenomenon. Many theories have been used for many years not only to understand the consumers’ attitude, but also create a marketing strategy that will attract the consumer efficiently. However,

investigation should be centered on trying to solve the problem within the provided scope. The scope of this survey would include:

  • Helping researchers to know the buyer attitude towards online shopping among the Coimbatore.
  • This study helps the respondents to know whether the demographic factor affect the online shopping

1.3 LIMITATION

Limitation of this study will help the future researchers on identifying the

consumer attitude towards online shopping under demographic factors. In this section limitations are highlighted.

  1. The complete representation of the population is not done so our analysis of facts is not completely accurate.
  2. For want of time, the study has been confined to Coimbatore city only. So, the results may not be applicable to other areas.
  3. The result fully depends on information given by the respondents. The study is confined to 120 consumers only and may reveal the result, based on the sample size.
  4. In certain areas knowledge about a subject may not be accurate.
  5. Improper representation of facts can be taken place.

REVIEW OF LITERATURE

A brief literature would be of immense help to the researcher in gaining insight into selected problem. The researcher would gain good background knowledge of the

problem by reviewing certain studies. A reference to these entire studies will be related in the contest of the shaping the present study. There are very limited studies, which are directly relevant to the study concerned. They have been taken

from journals, articles, PhD thesis and unpublished research work.

Gurvinder S Shergill & Zhaobin (2005)27, has conducted a study on “Web-Based Shopping: Consumers’ Attitudes towards Online Shopping in New Zealand”. The

study revealed that website security/privacy, website design, website reliability/ fulfillment and website customer service are the four dominant factors which influence consumer perceptions of their online purchasing experiences. New

Zealand online buyers had different perceptions of these four factors. Website reliability/fulfillment had the highest rating score, followed by website customer service. Website design ranked third, and the lowest was website security/privacy.

Torben Hansen (2008)53, has identified three groups of consumers: consumers who have not yet bought anything on the Internet; consumers who have bought something on the Internet – but not groceries; and consumers who have bought something on the Internet – including groceries. Data were collected from an online survey of Swedish consumers using self- administered questionnaires. The findings suggest that consumers may link personal values to attitude towards online grocery buying but also that this relation may be moderated by whether the consumer previously has carried out an online purchase or an online grocery purchase.

Ahasanul Haque (2006)44, mentioned that only two factors, gender and family income has significant relationship with overall attitudes towards online shopping.

The results also indicated that weekly internet use, having experience in e- shopping, and willingness to shopping online in the future have significant

relationship with overall attitude towards online shopping. Moreover, results proved that there is significant difference between human senses in online decision-making process and it is explored to customers who experienced shopping

a product or they were satisfied previously, which have stronger confidence to do online shopping.

Vellido et al. (2000)2, pointed out in his research, that there are nine factors associated with user’s perception of online shopping. Among those factors the risk perception of users was demonstrated to be the main discriminator between people buying online and people not buying online. Other discriminating factors were control over, and convenience of, the shopping process, affordability of merchandise, customer service and ease of use of the shopping site.

Jarvenpaa et al, Tractinsky& Vitale (2000)3, tested a model of consumer attitude towards specific web base stores, in which perceptions of the store's reputation and size were assumed to affect consumer trust of the retailer. The level of trust was positively related to the attitude toward the store, and inversely related to the perception of the risks involved in buying from that store. The study concluded that the attitude and the risk perception affected the consumer's intention to buy from the store.

Bhatnagar, Misra, and Rao (2000)4, in their recent study made an attempt to study the risk, convenience and Internet shopping behaviour. They found that marital status has no effect on purchase behavior and found mixed results based upon gender (except for specific gender-related products), years on the Internet, and age.

  1. Lohse, G.L., Bellman S. and Johnson, E. J., “Consumer Buying Behavior On The Internet: Findings from Panel Data”, Journal of Interactive

Marketing, Vol.14, No. 1: 15-29, 2000.

  1. DrPanicosGeorgiades, Dr Johann duPreez, Dr Bill Dowsland and

DrAntonisSimintiras, “Attitudes toward On-line Purchase Behavior: Comparing Academics, Students and Others” European Business Management School, UK Working Paper EBMS/2000/

  1. Armstrong G, Kotler P, Marketing Paper presented at the 5th ed., Prentice- Hall, Englewood Cliffs, 2000, pp. 153-154.
  2. Goldsmith, R. E., Bridges, E.: E-tailing vs. Retailing: Using Attitudes to

Predict Online Buyer Behavior. Quarterly Journal of Electronic Commerce 1, 3 (2000): 245-253.

  1. David M. Szymanski and Richard T. Hise, “E-satisfaction: an initial

examination” Journal of Retailing, Texas A&M University College Station, Volume 76, Issue 3, 3rd Quarter 2000, pp 309-322.

  1. Baveja, S, Rastogi, S., Zook, C., Hancock, R. S., & Chu, J, ”The value of

online customer loyalty and how you can capture it”, Research Brief, Bain Consulting,2000.

  1. Rehmann, A. (2000). Holiday 2000 E-Commerce.Creative

Good.Konradt, U[Announcement posted on the World Wide Web]. From the World Wide Web: http://www.creativegood.com/holiday2000.

  1. David.K.Bruderle, “Global ecommerce approaches hyper growth”,

Global Reach Express, Forrester Research, April 2000.

RESEARCH METHODOLOGY

CHAPTER-III

RESEARCH METHODOLOGY

The advanced learner’s dictionary of correct English lays down the meaning of research as “A careful investigation of inquiry especially through search of new parts in any branch of knowledge”. Research is thus an original contribution to the

3.4 Period of Study

The study is an attempt to analyze Influence of online shopping on attitude and preference of online shopping.

3.5 Sampling Design

A sample design is a definite plan for obtaining a sample from given population. It refers to the technique or the procedure the researcher would adopt in selecting items for the sample. Sampling design deals with the method of selecting items to be observed for the given study.

3.5.1 Population

People in Coimbatore

3.5.2 Sampling Technique

Non probability convenience sampling technique was used for the study.

3.5.3 Sample Size

The size refers to the number of items or the units to be selected from the population or universe to constitute a sample. The sample size must not be too large or too small it should be optimum. The sample size for the study includes 120 respondents of both genders.

3.5.4 Tools of Analysis

The tools used in this project to analyze the data are

  1. Percentage analysis method
  2. Regression
  3. One way ANOVA
  4. (^) T-test

Percentage analysis:

The percentage analysis method is used to calculate the percent of the favorable and unfavorable responses. Percentage= (No. of respondents/Total no.of.respondents)*

ANOVA:

Analysis of variance (ANOVA) is a collection of statistical models used to analyze the differences between group means and their associated procedures (among and between groups).

Regression Analysis

Regression is a statistical technique to determine the linear relationship between two or more variables. Regression is primarily used for prediction and causal inference. This technique is adopted to find the consumer attitude and satisfaction level of the consumers with suitable scores through regression co-efficient.