Research Findings


To empirically prove this model, we surveyed 253 Internet users. The characteristics of the respondents are outlined in Table 1. For interested readers, the research methodology used in this study is detailed in Appendix A, "How Was This Study Conducted," and Appendix B displays the measurement used. The results largely supported our propositions. A schematic representation of the Model of Consumer Acceptance of Virtual Stores that includes the standardized path coefficients is displayed in Figure 2.

Table 1: Characteristics of Respondents.

Frequency

Percent (%)

Cumulative (%)

Gender

Male

121

47.8

47.8

Female

132

52.2

100

Age

Less than 20

32

12.6

12.6

20 – 29

126

49.8

62.5

30 – 39

75

29.6

92.1

40 – 49

13

5.1

97.2

More than 50

7

2.8

100

Individual Annual Income

Less than $15,000

66

26.1

26.1

$15,000 to 29,999

51

20.2

46.2

$30,000 to 44,999

76

30.0

76.3

$45,000 to 59,999

35

13.8

90.1

More than $60,000

25

9.9

100

Shopping Online

Never shopped

52

20.6

20.6

Have shopped

201

79.4

100

Computer Skills

Poor

18

7.1

7.1

Fair

61

24.1

31.2

Good

99

39.1

70.4

Very good

75

29.6

100

click to expand
Figure 2: The Model of Consumer Acceptance of Virtual Stores. (Coefficients associated with structural paths represent standardized estimates; parenthesized values represent standard errors.)

The results suggested that one of the proposed CSFs, information richness, does not positively affect PU. The development of this hypothesis and associated scale was based on IRT, which is a predictive theory to understand users' communication media choices (Daft & Lengel, 1986). However, the criteria for rich communication proposed by IRT were questioned by a number of empirical studies (e.g., Lee, 1994; Markus, 1994). Computer-mediated communications, such as electronic mail, prove to be popular despite the fact that, according to IRT, they provide lean communication instead of rich communication (Lee, 1994). One of the weaknesses of IRT is that it measures information richness solely by the properties of media and ignores the interactions between people and the social context in which the communication occurs. Therefore, the authors suspect that the insignificant linkage between IR and PU is due to the measurement weakness.




Intelligent Enterprises of the 21st Century
Intelligent Enterprises of the 21st Century
ISBN: 1591401607
EAN: 2147483647
Year: 2003
Pages: 195

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