Studies have focused on elucidating the sharing behavior of media users. However, few studies have specifically investigated users' health information sharing behavior in the social media context, especially WeChat. This study proposes a theoretical research model that integrates social capital and user gratification with the theory of planned behavior to explore health information sharing behavior of WeChat users. Based on online survey data collected from 616 WeChat users, correlation analysis and structural equation modeling were sequentially performed. It was found that both social capital and gratification factors play important roles in influencing WeChat users' health information sharing. Social interaction, acting both as social capital and gratification factor directly and indirectly generated positive effects on health information sharing intention. In conclusion, this study revealed the key determinants of health information sharing intention among WeChat users and examined the mediation effects to effectively understand users' health information sharing behavior.

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In a recent study, Scaglione, Giovannetti, and Hamoudia (2015) analyze the diffusion of mobile social networking in four G7 countries. Using Bass's model and Bemmaor's Gamma/Shifted Gompertz (G/SG) model, they find evidence for a left skew in the rightcensored distributions of the times to adoption in three countries out of four. However, they rely on the skewness parameter of Bemmaor's model to draw their conclusion. With the use of three special cases of the G/SG as well as the full version, we reanalyze the data.Extending the data basis to six countries, we show that (i) fitting the four models to the data does not allow us to discriminate between models, but (ii) forecasting subsequent adoptions provides strong support of right skew in the data set: in each country (except France), after an initial embrace of the access, there appears a substantial mass of later adopters of mobile social networking.

Interactions of entrepreneurs through social networks provide an available path for corporate risk contagions. However, the issue how entrepreneurs’ social networks influence on corporate risk contagion is still received limited attention from scholars. In this study, a framework is proposed to describe entrepreneurs’ interaction and corporate value creation. The main results of multiagent simulations indicate the following. First, either weak ties or strong connections of social networks can enhance density of corporate risk contagion. However, only strong connections can be moderated by entrepreneurs’ risk preference. Second, weak ties improve risk exposure of individual corporations, while strong connections may probably decrease systematical risk of the market. Third, weak ties are important for mature corporations to achieve business success. However, for startups, strong connections are more valuable to maintain. The findings of this study not only provide theoretical support from some widely accepted economic phenomenon but also provide explanations for conflicting results from some previous literatures.