A STUDY ON IMPACT OF ONLINE BUYING (WITH SPECIAL REFERENCE TO EDUCATED WOMEN EMPLOYEES IN VANIYAMBADI TOWN)

 A STUDY ON IMPACT OF ONLINE BUYING

(WITH SPECIAL REFERENCE TO EDUCATED

WOMEN EMPLOYEES IN VANIYAMBADI TOWN)

N.Mahalakshmi Msc.,M.Phil, Assistant Professor,PG & Research Department of

Mathematics,

K.Rajeswari, Msc.,M.Phil, Head & Assistant Professor, Department of Statistics,

G.Shenbagavalli, Msc.,M.Phil, Assistant Professor,PG & Research Department of

Mathematics,

S.Geethalakshmi, Msc.,M.Phil, Assistant Professor,PG & Research Department of

Mathematics,

K.Valarmathy, Msc.,M.Phil, Assistant Professor,PG & Research Department of

Mathematics

ABSTRACT

Online shopping allows consumers to buy directly any goods or services from the

provider to buyer. Internet using web browser is used to communicate both the buyer and

seller. Consumer can visit the website and shall select their products. There are many

shopping zones which provide various kinds of products and services to the consumer. The

consumers shall select, compare and can see reviews from other buyers and can place their

order through online .In this paper the researcher study the impact of online buying and also to

give possible solution for the problem aroused on online buying.

KEYWORDS: Online, Consumer, Website, Shopping zone.

INTRODUCTION

English entrepreneur Michal Aldrich invented on line shopping in 1979.Online

shopping is a form of electronic commerce which allows consumer to direct them to buy

goods or service from a web browser. E-web-store, e-shop, e-store, Internet shop are the

alternative names.

From the online buying the consumers shall buy the goods for the satisfaction. In this

type of service, the time saved and varieties of products can visualize. It is a paying way for

Cash transaction.

OBJECTIVES

 To study the impact of online buying with special reference to Vaniyambadi Town.

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 To provide possible solution for the problem aroused in online buying.

SCOPE

 This paper will help the consumer to avoid problem aroused in online buying.

 To educate the consumer about the shopping zone.

LIMITATIONS

 Sample selected on Vaniyambadi so it cannot be generalized with other places.

 Fifteen days was the time period for research.

RESEARCH METHODOLOGY

Research is a systematic method of finding solutions to problems. In this paper we

describe a study on impact of online buying and its results are questionnaire research. This

research includes surveys and fact finding enquiries of different kinds. The major purpose of

research is applying statistical tools to researchers.

SAMPLING DESIGN

A sample design is a finite plane for obtaining a sample from given educated women

employees.

SAMPLE SIZE

Sample size is 100

i.e.) n=100

METHODS OF DATA COLLECTION

The data’s were collected through primary and secondary sources.

Primary data: Primary data are those which are collected for the first time and they are

original in character. If an individual or an office collects the data to study a particular

problem, the data are the raw materials of the enquiry. They are primary data collected by the

investigator himself to study any particular problem.

Secondary data: Secondary data are those which are already collected by someone for some

purpose and are available for the present study. For instance, the data collected during census

operations are primary data to the department of census and the same data, if used by a

research worker for some study, are secondary data.

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Nature of research:

Descriptive research, also known as statistical research, describes data and

characteristics about the population or phenomenon being studied. Descriptive research

answers the questions who, what, where, when and how.

Questionnaire

A well defined questionnaire is used effectively to gather information.

Nature of questions asked

The questionnaire consists of dichotomous, rating and ranking questions and multiple

choice questions.

Presentation of data

The data are presented through charts and tables.

Analysis of Data

Percentage Analysis

Pie Diagram

Chi square Analysis

DATA ANALYSIS & INTERPRETATIONS:

(Table-1) Respondents on the basis of income level

Source: Primary data

INTERPRETATION

The above table shows that 0% of the respondents are 𝑅𝑠 4000 − 7000 income level, 48%

are 𝑅𝑠 7000 − 10000 income level, 40% are 𝑅𝑠 10000 − 13000 income level, 8% are

𝑅𝑠 13000 − 16000 income level and 4% are more than 𝑅𝑠 16000 income level.

Income level No. of

respondent

Percentage

Rs4000-7000 0 0%

Rs7000-10000 48 48%

Rs10000-13000 40 40%

Rs13000-16000 8 8%

More than Rs16000 4 4%

Total 100 100%

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(Table-2) Respondents on the basis of products bought through online

Source: Primary data

INTERPRETATION

The above table shows that 112.5° of the respondents are Mobile, 67.5° are Accessories,

22.5° are Books and 157.5° are of Cloths.

(Table-3) Respondents on the basis of shopping zones and products

Observed Data

S. No Product

items

Shopping Zones Total

Amazon Flip

kart

Snap

deal

1 Mobile 10 8 2 20

2 Accessories 8 8 2 18

3 Cloths 22 3 1 26

Total 40 19 5 64

Expected Data

S. No

Product

items

Shopping Zones Total

Amazon Flip kart Snap deal

1 Mobile 12.5 5.93 1.56 19.99

2 Accessories 11.25 5.34 1.40 17.99

3 Cloths 16.25 7.7 2.03 25.98

Total 40 18.97 4.99 63.96

Source: Primary data

S. No Items No. of respondent Degree

1 Mobile 20 112.5°

2 Accessories 12 67.5°

3 Books 4 22.5°

4 Cloths 28 157.5°

Total 64 360°

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INTERPRETATION

From the above table the respondents are more interested towards buying cloths.

H0: Consumers prefer all online services for their products purchase.

H1: Consumers prefer specific branded online services for their products purchase.

Statistical Analysis

In Chi - square table

Calculated value 𝜒2 = 8.80

Degrees of Freedom

ᵞ = {(𝑐 − 1)(𝑟 − 1)} − 2

= { (3 − 1)(3 − 1) } − 2

= { (2)(2) } − 2

= 4 − 2

= 2

Table value

At 5% level of significance for 2 degrees of freedom the table value of 𝜒2 𝑖𝑠 5.991.

So H0 is rejected .Because calculated value is more than table value.

We accept H1. Consumers prefer specific branded online services for their products

purchase.

(Table-4) Respondents on the basis of shopping zones provides online services

S. No Shopping Zones No. of Respondent Percentage

1 Amazon 48 75%

2 Flip kart 4 6.25%

3 Snap deal 12 18.75%

Total 64 100%

Source: Primary data

INTERPRETATION

The above table shows that 75% of the respondents are Amazon 6.25% are Flip kart and

18.75% are Snap deal.

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(Table-5) Respondents on the basis of Problems in online buying

S. No. Problems in Online

buying

No. of Respondent Percentage

1 Products are very

less in weight

8 12.5%

2 Some are broken 24 37.5%

3 They are changing

the product items

12 18.75%

4 It is not up to the

quality mentioned

12 18.75%

5 Other reasons 8 12.5%

Total 64 100%

Source: Primary data

INTERPRETATION

The above table shows that 12.5% of the respondents are Products are very less in weight,

37.5% are some are broken, 18.75% are changing the product items, 18.75% are not up to

the quality mentioned and 12.5% are Other Reasons.

(Table-6) Respondents on the basis of possible solution for online buying

S. No. Possible solution

for Online

No. of Respondent Degree

1 Direct purchasing 12 67.5°

2 Reference

Purchasing

8 45°

3 Purchase based on

reviews and reality

28 157.5°

4 Return and refund

policy

16 90°

Total 64 360°

Source: Primary data

INTERPRETATION

The above table shows that 67.5° of the respondents are Direct Purchasing, 45° are Reference

Purchasing, 157.5° are Purchase based on reviews and reality and 90° are Return and refund

policy.

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(Table-7) Respondents on the basis of online service providers

Approaching the customers

S. No. Providers

approaching the

consumers

No. of

Respondent

Percentage

1 Mail 8 12.5%

2 SMS 8 12.5%

3 Advertising through

media

40 62.5%

4 Others 8 12.5%

Total 60 100%

Source: Primary data

INTERPRETATION

The above table shows that 12.5% of the respondents are Mail, 12.5% are SMS, 62.5% are

advertising through media and 12.5% are others.

FINDING

 Majority of the working women earn 𝑅𝑠. 7000 − 10000 as their monthly income.

 Majority of the women employees buy mobile phone through Online Services.

 Consumers prefer specific branded online services for their products purchase.

 Majority of the online purchaser are carried on Amazon. In

 Women employees are also faced with many problems in online buying. They faced

majority broken products through online purchase.

 Problem shall be solved through rectify the reviews from other buyers.

 Majority of the online service providers are advertising their products through media.

CONCLUSION

Online shopping allows consumers to buy directly any goods or services from the

provider to buyer. Internet using web browser is used to communicate both the buyer and

seller. Consumer can visit the website and shall select their products. Consumers prefer online

buying for their purchase.

Even though there are lot of problems in Online buying that can be rectified through

some measures that has discussed in the Data Interpretation part of this paper. Consumers are

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much involved towards selection of online service providers. They are not placing their orders

to all the online service providers.

They select any particular specific online service provider and they are placing their

order in that specific shopping zone that is found and justified by the researcher through chi -

square analysis.

Reference:

1. C.R.Kothari - Research Methodology and Techniques - Wishwa Prakasan-2nd Edition

2003

2. P.Ravilochan - Research Methodology - Margham Publication - 2nd Edition 2011.

3. S.Pillai and Bhagavathy – Statistics-S. Chand & Company LTD.- 7th Edition 2012.

1. NAME:

2. QUALIFICATION:

3. NATURE OF WOMEN : WORKING/ NON WORKING

4. YEAR OF EXPERIENCE:

A) 1-2 Years B) 2-3 Years C) 3-4 Years D) 4-5 Years E) more than 5 Years

5. Income level

A) Rs.4000-7000 B) Rs.7000-10000 C) Rs.10000-13000 D) Rs.13000-16000

E) more than Rs.16000

6. Are you online buyer?

A) YES B) NO