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Measuring Knowledge Management/Knowledge Sharing (KM/KS) Efficiency and Effectiveness in Enterprise Networks

Author

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  • Anirban Ganguly

    (Stevens Institute of Technology, USA)

  • Ali Mostashari

    (Stevens Institute of Technology, USA)

  • Mo Mansouri

    (Stevens Institute of Technology, USA)

Abstract

Knowledge Management (KM) is critical in ensuring process efficiency, outcome effectiveness and improved organizational memory for the modern day business enterprises. Knowledge Sharing (KS) is fast becoming a rapidly growing area of interest in the domain of knowledge management. The purpose of this paper is to enlist a set of generalized metrics that can be used to evaluate the efficiency and the effectiveness of knowledge sharing in an enterprise network. The metrics proposed in this research are those that can be readily measured by various types of enterprise knowledge sharing systems, and link usage information to organizational outputs. The paper uses an illustrative case example of how an enterprise might make use of the metrics in measuring the efficiency and effectiveness of its knowledge sharing system.

Suggested Citation

  • Anirban Ganguly & Ali Mostashari & Mo Mansouri, 2011. "Measuring Knowledge Management/Knowledge Sharing (KM/KS) Efficiency and Effectiveness in Enterprise Networks," International Journal of Knowledge Management (IJKM), IGI Global, vol. 7(4), pages 37-54, October.
    • Handle: RePEc:igg:jkm000:v:7:y:2011:i:4:p:37-54
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    Cited by:

    1. Nissen, Mark E., 2019. "Initiating a system for visualizing and measuring dynamic knowledge," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 169-181.

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