The Interaction Between Knowledge Codification and Knowledge-Sharing Networks
Liu De (),
Gautam Ray () and
Andrew B. Whinston ()
Additional contact information
Liu De: University of Kentucky, Lexington, Kentucky 40506
Gautam Ray: University of Minnesota, Minneapolis, Minnesota 55455
Andrew B. Whinston: University of Texas at Austin, Austin, Texas 78712
Information Systems Research, 2010, vol. 21, issue 4, 892-906
Abstract:
Current knowledge management (KM) technologies and strategies advocate two different approaches: knowledge codification and knowledge-sharing networks. However, the extant literature has paid limited attention to the interaction between them. This research draws on the literature on formal modeling of networks to examine the interaction between knowledge codification and knowledge-sharing networks. The analysis suggests that an increase in codification may damage existing network-sharing ties. Anticipating that, individuals may hoard their knowledge to protect their network ties, even when there are nontrivial rewards for codification. We find that despite the aforementioned tension between the codification and the network approach, a firm may still benefit from combining the two approaches. Specifically, when the future sharing potential between knowledge workers is high, a combination of the two approaches may outperform a codification-only or a network-only approach because the codification reward causes fewer network ties to break down, and the benefit from increased codification can offset the loss of some network ties. However, when the future sharing potential is low, an increase in codification reward can quickly break down the whole network. Thus, firms may be better off by pursuing a codification-only or a network-only strategy.
Keywords: knowledge management; codification; knowledge-sharing network; sharing potential (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://dx.doi.org/10.1287/isre.1080.0217 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:21:y:2010:i:4:p:892-906
Access Statistics for this article
More articles in Information Systems Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().