PREDICTING KNOWLEDGE SHARING ON KNOWLEDGE MANAGEMENT SYSTEMS

Scott Krebs and Prashant Bordia
Additional contact information
Scott Krebs: School of Psychology, University of Queensland, Brisbane, QLD 4072, , Australia
Prashant Bordia: School of Psychology, University of Queensland, Brisbane, QLD 4072, , Australia

Chapter 15 in People, Knowledge and Technology:What Have We Learnt So Far?, 2004, pp 152-162 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractKnowledge management systems (KMS) enable the codification and transfer of individual and organizational knowledge across a firm. Used effectively, KMS can promote organizational learning and thus develop a firm’s competitive advantage. However, many KMS implementations have been unsuccessful, as important contextual factors of knowledge and its management is neglected in both research and practice. The purpose of this paper is to stimulate KMS research by proposing a theoretical model, which aims to predict knowledge sharing on to electronic databases. As knowledge sharing largely relies on employees’ willingness to share, we theorize that social and organizational influences will be critical factors in employees’ intention to contribute to databases. Practical implications of the model are discussed.

Keywords: Knowledge Management; Innovation; Communities; Collaboration; Knowledge Sharing; Culture; Knowledge Creation; Knowledge Management Strategies; Knowledge Discovery (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789812702081_0015 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789812702081_0015 (text/html)
Ebook Access is available upon purchase.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789812702081_0015

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().