Journal article
Examining micro-level knowledge sharing discussions in online communities
Information systems frontiers, Vol.17(6), pp.1227-1238
12/2015
DOI: 10.1007/s10796-015-9566-1
Abstract
Online communities of practice have become a popular knowledge source for both individuals and organizations. It is important to understand how to facilitate virtual knowledge sharing in online communities. Existing studies generally focus on system design factors or motivations behind knowledge sharing behavior. In this study we aim to investigate the knowledge sharing processes in online communities and identify process patterns that are indicative of effective knowledge sharing processes. We propose a computational framework to examine individual knowledge sharing processes in online communities from a process perspective. Our empirical evaluations show that effective knowledge sharing processes have distinct structural characteristics and communication network patterns compared to unhelpful knowledge sharing processes. Our research findings have practical implications for online community practitioners.
Details
- Title: Subtitle
- Examining micro-level knowledge sharing discussions in online communities
- Creators
- G. Alan Wang - Department of Business Information Technology Virginia Tech 1007 Pamplin Hall, 880 West Campus Drive Blacksburg VA 24060 USAXiaomo Liu - The R&D Department, Thomson Reuters 3 Time Square New York NY 10036 USAJianling Wang - Department of Accounting and Finance, School of Management Xi’an Jiaotong University 28 Xianning West Road Xi’an Shanxi 710049 ChinaMin Zhang - Department of Industrial Engineering, College of Management and Economics Tianjin University 92 Weijin Road Tianjin 300072 ChinaWeiguo Fan - Department of Accounting and Information Systems Virginia Tech 3007 Pamplin Hall, 880 West Campus Drive Blacksburg VA 24060 USA
- Contributors
- Karl R Lang (Editor)Vojislav B Misic (Editor)J. Leon Zhao (Editor)
- Resource Type
- Journal article
- Publication Details
- Information systems frontiers, Vol.17(6), pp.1227-1238
- Publisher
- Springer US
- DOI
- 10.1007/s10796-015-9566-1
- ISSN
- 1387-3326
- eISSN
- 1572-9419
- Language
- English
- Date published
- 12/2015
- Academic Unit
- Business Analytics
- Record Identifier
- 9984083298502771
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