Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/9906
Title: A contingency approach to knowledge management: Finding the best fit
Authors: Handzic, M.
Özlen, Muhammed Kürşad.
Durmic, N.
Keywords: Contingency perspective
Decision context
Decision performance
Knowledge management solution (KMS)
Knowledge processes
Knowledge management
Best fit
Contingency approaches
Decision makers
Field surveys
Knowledge process
Decision making
Publisher: IGI Global
Abstract: A contingency perspective of knowledge management recognises the need for a fit between knowledge management solutions (KMS) and decision making contexts which they support. In order to determine the best fit, a field survey was carried out to investigate the impact of two different types of KMS (technical and social) on decision makers' behaviour and performance in different decision contexts (simple and complex). The results provide partial support for the contingency view. As expected, the study identified social KMS as the best fit for complex contexts, based on subjects' superior performance from comparable adoption of both KMS. In contrast, the study identified that both KMS were an equally good fit for simple contexts, based on similar levels of subjects' performance, but social KMS was preferred in terms of adoption. These findings contribute to much needed empirical evidence for research and provide useful guidance for practice. However, their limitations warrant further study. © 2016, IGI Global.
URI: https://hdl.handle.net/11499/9906
https://doi.org/10.4018/IJKM.2016010103
ISSN: 1548-0666
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Yabancı Diller Yüksekokulu Koleksiyonu

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