The mutual construction of knowledge transfer and shared context in capability development within the networked MNC
Nathaniel C Lupton and
Paul W Beamish
Knowledge Management Research & Practice, 2016, vol. 14, issue 1, 150-157
Abstract:
Consistent with the knowledge-based view of the firm, capability augmentation in the multinational corporation (MNC) entails the adaptation and diffusion of knowledge within a network of globally dispersed subsidiaries. We used case study methodology to examine the transfer of knowledge practices within four MNCs in order to identify specific mechanisms through which social context impacts efficiency and effectiveness of transfer, as well as the resulting development of associated capabilities. The primary findings of this study are the identification of mechanisms that headquarters can use to create mutual interdependencies among subsidiaries, which in turn hasten capability development and enhance knowledge flow; and the mutually constructive roles of knowledge transfer and shared context, through promotion of organizational knowledge use. The manner in which these coordination and control mechanisms are implemented facilitates the integration of different units within the networked MNC.
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1057/kmrp.2014.25 (text/html)
Access to full text is restricted to subscribers.
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:taf:tkmrxx:v:14:y:2016:i:1:p:150-157
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tkmr20
DOI: 10.1057/kmrp.2014.25
Access Statistics for this article
Knowledge Management Research & Practice is currently edited by Giovanni Schiuma
More articles in Knowledge Management Research & Practice from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().