shows the graphical description of results and demonstrates path coefficient and variances explained. The fit indices
for measurement and structural model indicated that critical mass has a significant impact on social influence. Therefore
hypothesis H4b (b= 0.82,p< 0.001) is supported. As we predicted that the perceived ease of use and social influence would
positively affect behavioural intention, hypotheses H1 (b= 0.26,p< 0.001) and H5a (b= 0.34,p< 0.001) are supported in the
model. The findings imply that the influence of peers and friends in social communities and groups who use SNSs on their
mobile devices strongly impact others intentional behaviours to use mobile SNSs. It can be assumed that using SNS via mobile devices does not require a lot of effort to learn how to use it, especially for younger generation who are accustomed to
use the service via PCs. However, the findings show that ease of use does have impact on end-users’ behavioural intention to
shows the graphical description of results and demonstrates path coefficient and variances explained. The fit indices
for measurement and structural model indicated that critical mass has a significant impact on social influence. Therefore
hypothesis H4b (b= 0.82,p< 0.001) is supported. As we predicted that the perceived ease of use and social influence would
positively affect behavioural intention, hypotheses H1 (b= 0.26,p< 0.001) and H5a (b= 0.34,p< 0.001) are supported in the
model. The findings imply that the influence of peers and friends in social communities and groups who use SNSs on their
mobile devices strongly impact others intentional behaviours to use mobile SNSs. It can be assumed that using SNS via mobile devices does not require a lot of effort to learn how to use it, especially for younger generation who are accustomed to
use the service via PCs. However, the findings show that ease of use does have impact on end-users’ behavioural intention to
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