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D. Results of Hierarchical Regression and Discussions

In order to answer the research question number 2 put forward earlier in the study, hierarchical regression analysis was employed. The rationale for using hierarchical regression is to evaluate the role played by each individual factor and appreciate the order of contributions to continuance use of the Internet. The results in Table 6.5 have shown the significant influence of perceived usefulness on continuance to use the Internet for communications among the Malaysian members of parliament with a beta coefficient value of 0.698 and t-value of 7.86, p < 0.001.

In addition, the results have also shown that ease of use plays a significant role in continuance using of the Internet among the MPs. This can be inversed from a beta coefficient value of 0.388 and t-value of 3.549, p < 0.005. However, according to the results, the self-efficacy role in this study is not significant with beta coefficient of minimal value of -0.065 and t-value of -0.397, p > 0.05. Even though the selfefficacy of the MPs is not significant, the result reflects an important message to us through its negative relationship with continuance to use the Internet for communications.

It means that the Internet might be a useful tool of communication with high intention to use it as a medium of engaging one another; however, continuance to use it will highly depend on perceived ability and capacity of the users (MPs) themselves. No matter how easy is the Internet for communication among the MPs, yet each individual MPs must have the capacity and ability to use it.

Generally speaking, the results in Table 6.6 indicate the significant contribution of each individual factors of using the Internet among the MPs for communications. The perceived usefulness variable in model 1 of Table 6.6 shows that continuance

Table 6.5 Hierarchical coefficient results

Model

Unstandardized coefficients

Standardized coefficients

t

Sig.

B

Std. error

Beta

1

(Constant)

10.337

3.036

3.404

0.001

Usefulness

1.083

0.138

0.698

7.856

0.000

2

(Constant)

6.502

2.998

2.169

0.034

Usefulness

0.685

0.169

0.441

4.042

0.000

Ease of use

0.452

0.127

0.388

3.549

0.001

3

(Constant)

6.353

3.042

2.089

0.041

Usefulness

0.744

0.226

0.479

3.292

0.002

Ease of use

0.479

0.145

0.411

3.302

0.002

Self-efficacy

-0.075

0.189

-0.065

-0.397

0.693

Table 6.6 Model summary result

Model

R

R

square

Change statistics

DurbinWatson

R square change

F

change

df1

df2

Sig.

F change

1

.698a

0.487

0.487

61.710

1

65

0.000

2

.756b

0.571

0.084

12.598

1

64

0.001

3

.757c

0.572

0.001

0.158

1

63

0.693

1.843

aPredictors: (constant), usefulness

bPredictors: (constant), usefulness, ease of use

cPredictors: (constant), usefulness, ease of use, self-efficacy

dDependent variable: MP continuance to use

to use the Internet for communication among the MPs increases or decreases by 48.7 % if perceived usefulness increases or decreases by one unit. In addition, according to model 2 of the result, continuance to use the Internet as a medium of communication will increase or decrease by 8 % additional value of making the Internet easy for use. It means that if the MPs further perceived the ease of using the Internet tool by one unit, their continuance to use it will increase by 8 % additional to their perceived usefulness of it. Finally, the model summary shows that selfefficacy factor can only contribute minimal value of 0.1 % to continuance to use the Internet for communication among the MPs in this study. It means a one unit change in perceived ability and capacity of MPs will add another 0.1 % continuance to use the Internet for communications.

 
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