Knowledge sharing in wiki communities: An empirical study

Wei Tsong Wang, Zu Hao Wei

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

Purpose - Prior research indicates that the success of a virtual community relies on its ability to allow community members to share knowledge interactively. Wiki applications are web-based hypertext applications that facilitate collaborative authoring, and have been widely adopted by virtual communities to facilitate knowledge sharing and accumulation. Nevertheless very few studies have empirically investigated the dynamics of how these applications contribute to the development and continuity of virtual communities by enhancing the knowledge sharing intentions of community members. This paper aims to address these issues. Design/methodology/approach - A theoretical model was developed to explain and predict the knowledge sharing intentions of virtual community members. Survey data collected from 232 wiki community members were examined using structural equation modelling to verify the theoretical model. Findings - The research results confirm the positive influence of the use of wiki applications on knowledge sharing intention through the mediating effects of member interactions, community participation, and community promotion. However it was found that community trust and community identification had no significant effect on knowledge sharing intention. Originality/value - Very few studies have empirically investigated the relationships among the characteristics of wiki applications, virtual community outcomes (participation, promotion, trust, and identification), and the knowledge sharing intentions of virtual community members. The research findings can enrich our understanding of how wiki or other similar technologies affect the sharing of knowledge within virtual communities. This can, in turn, provide both virtual community administrators and managers of organisations with guidelines for creating successful knowledge sharing practices.

Original languageEnglish
Pages (from-to)799-820
Number of pages22
JournalOnline Information Review
Volume35
Issue number5
DOIs
Publication statusPublished - 2011 Oct 11

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

Fingerprint Dive into the research topics of 'Knowledge sharing in wiki communities: An empirical study'. Together they form a unique fingerprint.

Cite this