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KM System Evaluation – A Hybrid Approach Using Four Dimension Metric Database and WAM

  • D. Venkata Subramanian
  • Angelina Geetha
  • K. M. Mehata
  • K. Mohammed Hussain
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 178)

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.

Keywords

Knowledge Management Systems (KMS) Metrics Multi-dimensional model Evaluation Metrics Database Ranking Weighted Average Mean (WAM) 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • D. Venkata Subramanian
    • 1
  • Angelina Geetha
    • 1
  • K. M. Mehata
    • 1
  • K. Mohammed Hussain
    • 2
  1. 1.Department of Computer Science and EngineeringB.S. Abdur Rahman UniversityChennaiIndia
  2. 2.Department of Computer ApplicationsB.S. Abdur Rahman UniversityChennaiIndia

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