A Relational View of Information Seeking and Learning in Social Networks
Management Science
Customer Satisfaction in Virtual Environments: A Study of Online Investing
Management Science
Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption
Information Systems Research
Non-public and public online community participation: Needs, attitudes and behavior
Electronic Commerce Research
Consumer behavior in online game communities: A motivational factor perspective
Computers in Human Behavior
Competition Among Virtual Communities and User Valuation: The Case of Investing-Related Communities
Information Systems Research
Investor Competence, Trading Frequency, and Home Bias
Management Science
Electronic Commerce Research and Applications
User acceptance of hedonic information systems
MIS Quarterly
Factors influencing Internet shopping value and customer repurchase intention
Electronic Commerce Research and Applications
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Social networks have attracted significant attention in academic research. Nevertheless, there is a paucity of research on simultaneous information seeking and sharing behaviors in online social networks. In this research, we investigate why and how weakly connected members participate in online investment communities. We propose a theoretical model to simultaneously analyze two types of user behavior - information seeking and information sharing. Based on a survey of 502 members of one of the largest online investment communities in South Korea, we validate our model. We find that sense of belonging, entertainment value, and perceived usefulness are significant antecedent factors of both intention to share and intention to seek, which subsequently lead to information sharing and information seeking behaviors. Also, reputation seeking enhances intention to share while perceived knowledge reduces intention to seek. Furthermore, intention to seek is positively related to information seeking behavior; however, negatively related to information sharing behavior, and intention to share is positively related to only information sharing behavior. Our research enriches extant literature on social networks by providing new insights to help understand user participation behaviors in online communities.