Abstract
A Knowledge Management (KM) System plays a crucial role in every industry as well as in Higher Learning Institutions. Based on our earlier research works, we have identified the gaps, challenges and developed comprehensive KM System framework, evaluation methods, metric model and useful metrics which are helpful to assess any given knowledge management 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 Average Mean (WAM) method. In this proposed work, we first describe the actual implementation steps for building the KM System metric database using the multi-dimensional metric model. Secondly we assign the weights and values generated in the metric database and demonstrate how the KM system can be ranked and rated for its effectiveness.
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Venkata Subramanian, D., Geetha, A., Mehata, K.M., Hussain, K.M. (2013). KM System Evaluation – A Hybrid Approach Using Four Dimension Metric Database and WAM. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31600-5_32
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DOI: https://doi.org/10.1007/978-3-642-31600-5_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31599-2
Online ISBN: 978-3-642-31600-5
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