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A Framework based Knowledge Management System (KMS) for Dynamic Decision-Making (DDM)

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  • Mohammad Fazli Baharuddin
  • Tengku Adil Tengku Izhar
  • Ahmad Nadzri Mohamad
  • Wan Mohd Hafiz Wan Hasnol

Abstract

The aim of this paper is to propose a methodology to improve the application of Knowledge Management System (KMS) that allow domain experts to retrieve and analyze data from different sources that can support dynamic decision-making. A framework will be developed and it can capture the concepts of complexity and use as a basis for data integration processes suitable for efficient dynamic decision-making. This framework aims to resolve the issue in identifying and evaluating relevant data for better decision-making that covers the characteristics of good quality relevant data.

Suggested Citation

  • Mohammad Fazli Baharuddin & Tengku Adil Tengku Izhar & Ahmad Nadzri Mohamad & Wan Mohd Hafiz Wan Hasnol, 2016. "A Framework based Knowledge Management System (KMS) for Dynamic Decision-Making (DDM)," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(4), pages 287-294, April.
    • Handle: RePEc:hur:ijarbs:v:6:y:2016:i:4:p:287-294
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    Cited by:

    1. Demeter, Krisztina & Szász, Levente & Kő, Andrea, 2019. "A text mining based overview of inventory research in the ISIR special issues 1994–2016," International Journal of Production Economics, Elsevier, vol. 209(C), pages 134-146.

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