A comparison between M-commerce and E-commerce

by

TABLE OF CONTENTS

CHAPTER # 4: DATA ANALYSIS1

Introduction1

Data Analysis1

Descriptive Statistics1

Human-Related Factors1

Interface-Related Factors2

Product-Related Factors3

Service-Related Factors3

Frequencies4

Correlation8

Correlation Analysis between INTERFACE FACTOR and HUMAN FACTOR8

"Shopping in a secure environment with respect of privacy" and the HUMAN- related factor13

" Shopping with overall less perceived risk" question and the HUMAN related factor15

Cronbach's Alpha and factor analysis18

Factor Analysis of Principal Components19

Discussion21

Summary of Findings22

REFERENCES23

APPENDIX25

Questionnaire25

Correlation Matrix33

CHAPTER # 4: DATA ANALYSIS

Introduction

The aim of this chapter is to presents the findings of data analysis. The purpose of this chapter is to investigating the factors underpinning user's preferences towards m-commerce or e-commerce. M-commerce stands for any online transaction conducted with the support of a mobile device (mobile phones, smartphones, or Personal Digital Asssitant). E-commerce stands for the classic online commerce through the stationary computer.

Data Analysis

To analyze the surveyed data set SPSS 16 is used. Statistical techniques including descriptive statistics, frequency analysis, correlation, Cronbach's Alpha and factor analysis is used to analyze the adoption factors of M-Commerce and E-Commerce.

Descriptive Statistics

Human-Related Factors

 

 

Shopping conveniently overall.

Ability to shop at any desired location.

Shopping at any time.

Shopping more quickly.

Ease of use for shopping matters.

N

Valid

150

150

150

150

150

Missing

0

0

0

0

0

Mean

1.77

2.46

2.42

2.19

1.97

Std. Deviation

0.908

1.23

1.143

1.047

0.859

The above table represents the descriptive analysis of human related factors and it is observed that the mean values for all the five factors around 2 and the value of standard deviation is around 1 which indicates that all the responses in human related factors give more priority to E-commerce as compare to M-commerce.

Interface-Related Factors

The above table represents the descriptive analysis of interface related factors and it is observed that the mean values for all the five factors around 2 and the value of standard deviation is around 1 which indicates that all the responses in interface related factors give more priority to E-commerce as compare to M-commerce.

Product-Related Factors

The above table represents the descriptive analysis of product related factors and it is observed that the mean values for all the five factors around 2 and the value of standard deviation is around 0.9 which indicates that all the responses in product related factors give more priority to E-commerce as compare to M-commerce.

Service-Related Factors

The above table represents the descriptive analysis of service related factors and it is observed that the mean values for all the five factors around 2.2 and the value of standard deviation is around 1 which indicates that all the responses in service related factors give more priority to E-commerce as compare to M-commerce.

Frequencies

The above table represents the responses of weekly web navigation; it is observed that most of the respondents use web navigation more than once/day.

In the past six months, how often did you pursue online shopping?

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Never

12

8.0

8.0

8.0

rarely

42

28.0

28.0

36.0

once a month

51

34.0

34.0

70.0

more than once a month

29

19.3

19.3

89.3

habitually

16

10.7

10.7

100.0

Total

150

100.0

100.0

It is observed that most of the respondents once a month pursue online shopping. So online shopping is become the habit of individuals as online shopping id quite convenient, easy and time saving.

In the past six months, which device have you used to shop online?

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Mobile devices

13

8.7

8.7

8.7

stationary computer

107

71.3

71.3

80.0

both

30

20.0

20.0

100.0

Total

150

100.0

100.0

People from every walk of life used to shop online and the findings of our ...