The formation of concern for face and its impact on knowledge sharing intention in knowledge management systems
Mei-Lien Young
Knowledge Management Research & Practice, 2014, vol. 12, issue 1, 36-47
Abstract:
Previous empirical studies have shown that in Chinese culture face is critical for the success of knowledge sharing in knowledge management systems (KMS). However, much less is known about the factors shaping the concern for face and the way they impact on the individual's knowledge sharing intention in KMS. Using data drawn from professionals’ knowledge sharing practices in Taiwanese organizations, this study focuses on a detailed investigation of the concern for face and how it impedes individuals’ knowledge sharing intention in the KMS context. The research findings show that the perfection of authentic self and the scrutiny of others (referred to as others’ watch) together explain 27.7% of the variance in face in relation to public self. In turn, face related to public self explains 20.7% of subjective norms. Finally, face related to public self and subjective norms together account for 41.2% of the variance in knowledge sharing intention. The research findings have important theoretical and managerial implications.
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1057/kmrp.2012.50 (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:12:y:2014:i:1:p:36-47
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tkmr20
DOI: 10.1057/kmrp.2012.50
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 ().