American Journal of Engineering and Technology Management
Volume 5, Issue 1, February 2020, Pages: 1-11
Received: Apr. 17, 2019;
Accepted: Jul. 3, 2019;
Published: Jan. 31, 2020
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Imran Khan, Department of Informatics, University of Sussex, Sussex, United Kingdom
Abel Usoro, Department of Mathematics and Computer Science, Ritman University, Ikot Ekpene, Nigeria
Malcolm Crowe, School of Computing, Engineering and Physical Sciences, Paisley, Scotland
Many knowledge sharing models have been developed but they mostly explain how knowledge flows from source to destination and hardly provide adequately validated organisational cultural factors that affect knowledge sharing in virtual communities (VCs) though VCs are recognised in literature as a software tool for knowledge sharing in organisations. The research reported in this paper undertook this task by developing a conceptual model to hypothesise the relationship between organisational culture (support, innovation, co-ordination and rules orientations) and knowledge sharing. Data was collected from over 200 VC members. Detailed group analyses were performed to test the conceptual model. The research found that support, co-ordination and rules orientation have positive causal relationships with sharing knowledge online. The research also highlights that just a software tool like a VC will not be sufficient to enable knowledge sharing online. The implication is that training, support in personal and work problems, inter-departmental co-ordination and teamwork will have positive affect on knowledge sharing in VCs. Also, face-to-face gatherings and a leading role of managers to share their knowledge will increase online knowledge sharing. The research has implications for KM (Knowledge Management) practitioners, managers, and information systems researchers. The findings of the research can be used in assessing VC knowledge sharing systems plans from an organisational cultural perspective.
Using Organisational Culture to Enhance Knowledge Sharing in Virtual Communities, American Journal of Engineering and Technology Management.
Vol. 5, No. 1,
2020, pp. 1-11.
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