Examining micro-level knowledge sharing discussions in online communities

G. Alan Wang (), Xiaomo Liu (), Jianling Wang (), Min Zhang () and Weiguo Fan ()
Additional contact information
G. Alan Wang: Virginia Tech
Xiaomo Liu: 3 Time Square
Jianling Wang: Xi’an Jiaotong University
Min Zhang: Tianjin University
Weiguo Fan: Virginia Tech

Information Systems Frontiers, 2015, vol. 17, issue 6, No 4, 1227-1238

Abstract: 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.

Keywords: Online community; Knowledge sharing; Computer-mediated communication; Communication network; Network structural analysis (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s10796-015-9566-1

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