This paper develops a framework for the analysis of information acquisition and exchange in social networks. In the static model, there is a symmetric Bayes-Nash Equilibrium where all players use a simple cut-off strategy involving the threshold degree. The inefficiency of information...

The performance of prediction markets depends crucially on the quality of user contribution. A social media-based prediction market can utilize aspects of social effects to improve users' contribution quality. Drawing upon literature from diverse areas such as prediction markets, knowledge...

The prevalence of consumers sharing their purchases on social media platforms (e.g., Instagram, and Pinterest) and the use of this information by potential future consumers have substantial implications for online retailing. In this study, we examine how product characteristics and the type of...

This paper examines the effect of a social network on prediction markets using a controlled laboratory experiment that allows us to identify causal relationships between a social network and the performance of an individual participant, as well as the performance of the prediction market as a...

The growing importance of online social networks provides fertile ground for researchers seeking to gain a deeper understanding of fundamental constructs of human behavior, such as trust, forgiveness, and their linkage to social ties. Through a field experiment that uses data from the Facebook...