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Title: Factors affecting employees' knowledge-sharing behaviour in the virtual organisation from the perspectives of well-being and organisational behaviour
Authors: Chumg, Hao-Fan
Seaton, Jonathan S.
Cooke, Louise
Ding, Wen-Yu
Keywords: Knowledge-sharing behaviour
Social capital theory
Organisational culture
Virtual organisation
Organisational behaviour
Sense of well-being
Issue Date: 2016
Publisher: © Elsevier
Citation: CHUMG, H-F. ...et al., 2016. Factors affecting employees' knowledge-sharing behaviour in the virtual organisation from the perspectives of well-being and organisational behaviour. Computers in Human Behavior, 64, pp. 432-448.
Abstract: © 2016 Elsevier Ltd. Drawing on the concept of organisational behaviour, this research augments the concepts of social capital theory and organisational culture with one pioneering precursor and mediator, the sense of well-being, to develop an integrative understanding of the factors affecting individuals' knowledge-sharing behaviour within the more complex context of the virtual organisation of Taiwanese Non-governmental Organisations (NGOs). A field survey of 131 employees from the selected virtual organisation was analysed using Structural Equation Modeling (SEM) to examine the outcomes empirically. Our research offers a persuasive body of evidence supporting the notion that increasing employees' sense of well-being can successfully form a bridge that can connect social capital tendency, organisational culture and employees' knowledge-sharing behaviour. Surprisingly, and contrary to common belief, the integrated model shows that social capital tendency seems to play a more important role than organisational culture in affecting employees' sense of well-being within the virtual organisation in a Chinese cultural context. Consequently, this research reveals the subtle interplay of employees' sense of well-being, social capital tendency, organisational culture and knowledge-sharing behaviour, while the in-depth analysis provides strong support for knowledge management research and practice.
Description: This paper was accepted for publication in the journal Computers in Human Behavior and the definitive published version is available at http://dx.doi.org/10.1016/j.chb.2016.07.011.
Version: Accepted
DOI: 10.1016/j.chb.2016.07.011
URI: https://dspace.lboro.ac.uk/2134/22782
Publisher Link: http://dx.doi.org/10.1016/j.chb.2016.07.011
ISSN: 0747-5632
Appears in Collections:Published Articles (Business)

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