Estimating Contextual Motivating Factors in Virtual Interorganizational Communities of Practice: Peer Effects and Organizational Influences
AffiliationUniv Arizona, Eller Coll Management, Dept Management Informat Syst
Keywordsinter-organizational communities of practice
MetadataShow full item record
CitationKexin Zhao, Bin Zhang, Xue Bai (2018) Estimating Contextual Motivating Factors in Virtual Interorganizational Communities of Practice: Peer Effects and Organizational Influences. Information Systems Research 29(4):910-927.
JournalInformation Systems Research
RightsCopyright © 2018, INFORMS
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractVirtual inter-organizational 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 dataset 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.
Note12 month embargo; published online: 8 Nov 2018
VersionFinal accepted manuscript