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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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