Cultural Determinants of Learning Effectiveness from Knowledge Management Systems: A Multinational Investigation
- UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
- Nikhil Mehta, Assistant Professor (Creator)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
Abstract: Knowledge is a vital component of organizational success embedded within the human resources of a firm (Grant, 1996). Knowledge is lost by organizations when it is not used or when knowledgeable individuals turnover. Knowledge Management Systems (KMS) are designed to help organizations capture, store, distill, and distribute knowledge embedded within their employees. The effectiveness of KMS is dependent on individual learning and individual-specific learning preferences. Furthermore, as the world becomes more globalized and the job candidate pool from which organizations hire becomes more culturally diverse, the extent to which western models of organizational behavior hold becomes less clear. Using a multi-national survey, this study aims to determine to what extent learning preferences are dependent on culture. If learning preferences are dependent on culture, KMS designs that ignore culture may result in incomplete or ineffective knowledge transfer and learning outcomes. Our findings contribute to the KMS literature by suggesting that KMS design should be conducted with the goal of effectively facilitating learning across cultures. Specific KMS design recommendations include incorporating group activities and providing more flexibility, depending on the culturally derived learning preferences of specific users.
Cultural Determinants of Learning Effectiveness from Knowledge Management Systems: A Multinational Investigation
PDF (Portable Document Format)
373 KB
Created on 4/21/2020
Views: 264
Additional Information
- Publication
- Journal of Global Information Technology Management, 12(1), 30-51
- Language: English
- Date: 2009
- Keywords
- Knowledge Management Systems, Culture, Learning Preferences, Fit