KMS Success Model

Paper Summary:

This well organized paper reviews a research article by Jennex and Olfman entitled "A Knowledge Management Success Model: An Extension of DeLone and McLean's IS Success Model." First, the paper defines knowledge management and it's role in the corporate world. The paper also describes existing systems that have been used. The author concludes that overall, the research article presented a comprehensive examination of a viable model for testing knowledge management systems (KMS). With future research, based on this study, the KMS success model could be shown to be one of the most effective measurements of KMS systems today.

From the Paper:

"Knowledge management, according to Jennex and Olfman, can be thought of as the process by which members of an organization pass knowledge to one another (2003). This "knowledge" is tacit and explicit, which, according to Polanyi (1967) and Nonaka (1994), is understood to mean the cognitive and technical knowledge an individual possesses and understands, and the technical components of that knowledge that can be expressed through knowledge representation. These cognitive components are those mental models used by the individual that cannot necessarily be expressed in terms of data, while the technical components can be expressed (Jennex and Olfman, 2003). So, when discussing knowledge management, one can think of the process as the way in which individuals within a group pass concrete and non-concrete information amongst themselves."

Sample of Sources Used:

• Alavi, M. and Leidner, D.E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107-136.
• DeLone, W.H. and McLean, E.R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3, 60-95.
• DeLone, W.H. and McLean, E.R. (2002, January). Information systems success revisited. Proceedings of the 35th Annual Hawaii International Conference on System Sciences, IEEE Computer Society.
• Doll, W.J. and Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12, 259-275.
• Igbaria, M., Pavri, F.N., and Huff, S.L. (1989). Microcomputer applications: An empirical look at usage. Information & Management, 16(4), 187-196.

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