Reverse relationship between reward, knowledge sharing and performance
Tuyet-Mai Nguyen and
Catherine Prentice
Knowledge Management Research & Practice, 2022, vol. 20, issue 4, 516-527
Abstract:
The study draws upon expectancy theory and proposes a reverse relationship between rewards, knowledge sharing, and job performance. Knowledge sharing behaviours including knowledge donation, collection, and lurking are modelled to intervene between this relationship. The study was conducted with employees who had used online knowledge platforms in organisations from three industries in Vietnam, namely, tele-communications, banking, and insurance. A pilot study was undertaken prior to the formal survey to ensure clarity and validity of the questionnaires. The results show that job performance was significantly related to knowledge donating and collecting but not related to lurking. Knowledge donating, collecting, and lurking also have a significant impact on intrinsic rewards respectively and that top management support moderates the effect of knowledge donating, knowledge collecting, and lurking on intrinsic rewards. The study extends expectancy theory into online knowledge sharing literature and suggest for optimising organisational resources and maximising knowledge sharing values.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/14778238.2020.1821588 (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:20:y:2022:i:4:p:516-527
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tkmr20
DOI: 10.1080/14778238.2020.1821588
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 ().