知识管理
虚拟社区
集合(抽象数据类型)
知识共享
鉴定(生物学)
在线社区
实践共同体
业务
公共关系
计算机科学
心理学
互联网
万维网
政治学
教育学
植物
生物
程序设计语言
作者
Kexin Zhao,Bin Zhang,Xue Bai
标识
DOI:10.1287/isre.2017.0752
摘要
Virtual interorganizational communities of practice (IOCoPs) enable professionals belonging to different organizations to exchange and share knowledge via computer-mediated interactions. Since knowledge sharing is socially embedded, contextual factors likely play an important role in encouraging individuals’ community participation. Specifically, professionals in IOCoPs are embedded in two different social environments: the virtual community where they interact with online peers and organizations where they utilize their knowledge. Therefore it is important to simultaneously study motivating factors generated from these two different contexts, including peer effects within and organizational influences outside the virtual community. In this research, we apply a novel econometric identification method to analyze a unique data set collected from a virtual IOCoP in the financial trading sector. We find that, after controlling for individual-level characteristics, contextual motivating factors from peers and organizations are influential both quantitatively and qualitatively in determining community participation. Differentiating multiple-level motivating factors across different contexts enables us to shed light on various mechanisms that IOCoPs can apply to engage collective learning and knowledge management across organizations. The online appendix is available at https://doi.org/10.1287/isre.2017.0752 .
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