This study investigates a range of traditional and technological factors that contribute to credibility perceptions for three categories of online new

Rare studies have focused on how and why people use social networking sites (SNSs) utilizing individual-level variables such as self-construals and social/nonsocial motivations. This study proposes that the self-construal construct provides a good instrument for measuring the relationship between people's understanding of self as a predictor of social computing (Facebook use) and satisfaction. A survey was conducted with students from a large western U.S. university. Results indicate that interdependent self-construal is associated with social-motivations to use SNS, and such motivations lead to satisfaction with SNS use. In contrast, independent self-construal failed to predict SNS use. This finding supports the need to examine the influence of “cultural self” and “social motivations” when interpreting social media use behavior. Suggestions for future research are addressed.

Using the theory of planned behavior (TPB) model, this research aimed to investigate which important factors affect the potential behavior of rural tourism tourists. It also sought to identify the effects of social networking service (SNS) use on the rural tourism using TPB model. For analysis, a partial least squares-structural equation model (PLS-SEM) was used. The results revealed that tourists were influenced by subjective norm and perceived behavior control, of which the effect of subjective norm was greater. Consumers’ use of SNS played a notable role in contributing to the strength of the relationship between intention to visit and subjective norm. Promoters and marketers of sustainable tourism can use the results to make more effective decisions in their businesses.