Application of Multi-Dimensional Metric Model, Database, and WAM for KM System Evaluation

D. Venkata Subramanian and Angelina Geetha
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D. Venkata Subramanian: Department of Computer Science and Engineering, B.S. Abdur Rahman University, Chennai, Tamilnadu, India
Angelina Geetha: Department of Computer Science and Engineering, B.S. Abdur Rahman University, Chennai, Tamilnadu, India

International Journal of Knowledge Management (IJKM), 2012, vol. 8, issue 4, 1-21

Abstract: A Knowledge Management (KM) System plays a crucial role in every industry as well as in Higher Learning Institutions. Based on the earlier research works, the authors have identified the gaps, and challenges in order to develop a comprehensive KM System framework, Hybrid Evaluation method which are helpful to assess any given KM system. The primary goal of this research paper is to propose the methodology for ranking and rating of the KM system using Multi-dimensional Metric Model, Metric Database and Weighted Arithmetic Mean (WAM) method. This paper first provides the background for KM System Technology Framework and then enlists some of the significant research works, carried out in the past two decades especially on the KM Success Factors and Models, which support and validate their success. Secondly, this paper describes and illustrates how a Multi-dimensional Metric Model and Metric Database can be formed. Finally, this paper discusses how the KM Systems are evaluated and ranked for their effectiveness through the proposed evaluation methodology.

Date: 2012
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