What Makes a Helpful Knowledge Contribution in Online Communities? A Heuristic-Systematic Model
Online knowledge communities have revolutionized the way knowledge is exchanged through the Internet. Usefulness voting plays an important role in online knowledge exchange, because it facilitates the assessment of knowledge quality by involving a potentially large pool of experts in casting votes on knowledge contribution submitted to the community. Informed by the theoretical framework of systematic-heuristic model, this research proposes a research model to explain how content cues (including informativeness, relevance, diversity, and media richness) and source credibility cue (contributor reputation) affect usefulness voting of knowledge contribution by online peers. This study not only provides a nuanced understanding of the effects of content and source credibility cues of knowledge contribution on usefulness voting, but also provides practical implications for developers and managers to develop or implement information system design features and policies that can better support problem solving by exchanging high quality user-generated content in online communities.
Chen, L. (2021). What Makes a Helpful Knowledge Contribution in Online Communities? A Heuristic-Systematic Model. Proceedings of the 27th Annual Americas Conference on Information Systems (2021) Association for Information Systems (AIS).
27th annual Americas Conference on Information Systems, AMCIS 2021 (2021: Aug. 9-13, Virtual)
Business and Information Technology
Keywords and Phrases
Heuristic-systematic model; Knowledge contribution; Online knowledge communities; Usefulness voting
International Standard Book Number (ISBN)
Article - Conference proceedings
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13 Aug 2021