In- and extra-role knowledge sharing among information technology professionals: The five-factor model perspective
Xiling Cui
International Journal of Information Management, 2017, vol. 37, issue 5, 380-389
Abstract:
Knowledge is a valuable asset, and knowledge sharing (KS) among employees is particularly important in knowledge-based organizations. This study proposes and investigates two types of KS: in- and extra-role. In-role KS is based on role expectations, and extra-role KS extends beyond role expectations. This study also investigates the antecedents and consequences of the two types of KS among information technology (IT) professionals. The five-factor model is applied to build the research model. The results reveal that among IT professionals, openness to experience, conscientiousness, agreeableness, and neuroticism influence in- or extra-role KS. Unexpectedly, extroversion has no effect on either, indicating the unique behavior of IT professionals compared with others. The study also shows that both in- and extra-role KS have positive effects on team cohesion. Academic and practical implications are provided based on the research findings.
Keywords: In-role; Extra-role; Knowledge sharing; Personality; Five-factor model; Team cohesion (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0268401216305709
Full text for ScienceDirect subscribers only
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:eee:ininma:v:37:y:2017:i:5:p:380-389
DOI: 10.1016/j.ijinfomgt.2017.04.011
Access Statistics for this article
International Journal of Information Management is currently edited by Yogesh K. Dwivedi
More articles in International Journal of Information Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().