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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References
Subramanian, D.V., Geetha, A.: Guidelines and Effectiveness of Using Social Media Tools For Knowledge Sharing Communities. In: National Conference on Knowledge Intelligence and Telematics, Gujarat, India (2011)
Dayanandan, V.S., Geeteha, A.: Adaptation of Goal Question Metric Technique For Evaluation of Knowledge Management Systems. Review of Knowledge Management Journal 1 (January-June 2011) ISSN:2231-5845
Dayanandan, V.S., Geeteha, A., Hussain, M.: Measurement Process and Multi-dimensional Model For Evaluating Knowledge Management Systems. In: International Conference on Research and Innovation in Information Systems, International Islamic University, Malaysia (IIUM) and Universiti Teknologi Malaysia(UTM), Indexed by IEEE & SCOPUS (November 2011)
Krishnamurthy, D., Rolia, J., Xu, M.: WAM – The Weighted Average Method for Predicting the Performance of Systems with Bursts of Customer Sessions. IEEE Transactions on Software Engineering (2011) 0098-5589/11
Han, J., Sun, Y., Yan, X., Yu, P.S.: Mining Knowledge from Databases: An Information Network Analysis Approach. In: SIGMOD 2010, June 6-11. ACM, Indianapolis (2010) 978-1-4503-0032-2/10/06
ZadJabbari, B., Wongthongtham, P., Hussain, F.K.: Ontology based Approach in Knowledge Sharing Measurement. Communications of the IBIMA 11 (2010) ISSN: 1943-7765
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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
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