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Knowledge-Based Systems – A Re-Evaluation

Author

Listed:
  • Mohd Syazwan Abdullah

    (CS-YORK - Department of Computer Science [York] - University of York [York, UK])

  • Chris Kimble

    (Euromed Marseille - École de management - Association Euromed Management - Marseille, CREGOR - Centre de Recherche sur la Gestion des Organisations - UM2 - Université Montpellier 2 - Sciences et Techniques)

  • Ian Benest

    (CS-YORK - Department of Computer Science [York] - University of York [York, UK])

  • Richard Paige

    (CS-YORK - Department of Computer Science [York] - University of York [York, UK])

Abstract

Purpose – The goal of this paper is to re-evaluate the role of knowledge-based systems (KBS) in knowledge management (KM). While knowledge-based systems and expert systems were widely used in the past, they have now fallen from favor and are largely ignored in the knowledge management literature. This paper aims to argue that several factors have changed and it is now time to re-evaluate the contribution that such systems can make to knowledge management. Design/methodology/approach – The role of KBS in KM is explored through a comprehensive analysis of both the management and the technical literature on knowledge. The literature on KBS and expert systems is reviewed and some of the problems faced by them are highlighted. Some of the probable causes of these problems and some of the solutions that might be used to overcome them are indicated. The paper describes how knowledge systems (KS) could be used as an effective tool for managing knowledge. Findings – The lack of success of KBS technologies for managing knowledge is mainly due to organizational and managerial issues. These problems can be solved through feasibility studies before system development activities. KS technology is now being successfully applied in a variety of newer domains that exploit its capabilities. Practical implications – Some conclusions are drawn concerning integration of knowledge systems with knowledge management, problems of the early implementation of knowledge systems technology, and possible solution to overcome these problems. Originality/value – The main contribution of the article is in re-evaluating the role of knowledge-based systems as a tool for knowledge management.

Suggested Citation

  • Mohd Syazwan Abdullah & Chris Kimble & Ian Benest & Richard Paige, 2006. "Knowledge-Based Systems – A Re-Evaluation," Post-Print halshs-00489596, HAL.
    • Handle: RePEc:hal:journl:halshs-00489596
    DOI: 10.1108/13673270610670902
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    Citations

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    Cited by:

    1. Isabelle Bourdon & Chris Kimble, 2008. "An Analysis of Key Factors for the Success of the Communal Management of Knowledge," Post-Print halshs-00487656, HAL.
    2. Muhammad Ali Butt & Faisal Nawaz & Saddam Hussain & Maria José Sousa & Minhong Wang & Muhammad Saleem Sumbal & Muhammad Shujahat, 2019. "Individual knowledge management engagement, knowledge-worker productivity, and innovation performance in knowledge-based organizations: the implications for knowledge processes and knowledge-based sys," Computational and Mathematical Organization Theory, Springer, vol. 25(3), pages 336-356, September.

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