Knowledge contribution behavior in online Q&A communities : An empirical investigation
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 137-147 |
Journal / Publication | Computers in Human Behavior |
Volume | 81 |
Online published | 22 Dec 2017 |
Publication status | Published - Apr 2018 |
Externally published | Yes |
Link(s)
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.
In: Computers in Human Behavior, Vol. 81, 04.2018, p. 137-147.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review