Knowledge contribution behavior in online Q&A communities : An empirical investigation

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

139 Scopus Citations
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Author(s)

  • Tao Guan
  • Le Wang
  • Jiahua Jin
  • Xiaolong Song

Detail(s)

Original languageEnglish
Pages (from-to)137-147
Journal / PublicationComputers in Human Behavior
Volume81
Online published22 Dec 2017
Publication statusPublished - Apr 2018
Externally publishedYes

Abstract

As social networks and media technology combine, online Q&A communities are playing an important role in satisfying people's knowledge exchange needs. However, the combination of social networks and media technology does not mean that an exchange of knowledge will occur. Users are the critical components of an online Q&A community, and their active participation is critical for its development. Thus, it is crucial to figure out factors impacting users’ motivation to participate in community activities, especially knowledge contribution. In this study, we focus on user behavior regarding knowledge contribution in social Q&A communities, and differentiate users’ initial participation behavior from continued participation behavior. We collect users’ activity data from a well-known Chinese social Q&A community, and the results show that identity-based trust, feedback from previous knowledge contribution, opportunities of social exposure, word-of-mouth marketing, and pressure from norms of reciprocity have a positive impact on users’ continued knowledge contribution behavior.

Research Area(s)

  • Knowledge contribution, Social capital, Social exchange, Social Q&A community, Social recognition

Citation Format(s)

Knowledge contribution behavior in online Q&A communities: An empirical investigation. / Guan, Tao; Wang, Le; Jin, Jiahua et al.
In: Computers in Human Behavior, Vol. 81, 04.2018, p. 137-147.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review