Article ID Journal Published Year Pages File Type
6839375 Computers in Human Behavior 2014 12 Pages PDF
Abstract
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.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
, , , ,