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Organizational Knowledge Management

Author

Listed:
  • David B. Paradice

    (Texas A&M University, USA)

  • James F. Courtney

    (Texas A&M University, USA)

Abstract

Significant payoff potential exists for organizations that effectively exploit artificial intelligence technologies to manage organizational knowledge. The fundamental concepts of knowledge management, knowledge acquisition, knowledge representation, and knowledge utilization are examined in light of the unique characteristics of organizational problems. Key areas where these technologies can be applied in organizational settings are discussed, including document processing, organizational learning, information systems management, and group decision support systems. Managerial issues regarding worker resistance, competitive advantage, and cost of adopting knowledge management technology are also considered.

Suggested Citation

  • David B. Paradice & James F. Courtney, 1989. "Organizational Knowledge Management," Information Resources Management Journal (IRMJ), IGI Global, vol. 2(3), pages 1-14, July.
    • Handle: RePEc:igg:rmj000:v:2:y:1989:i:3:p:1-14
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.1989070101
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    Cited by:

    1. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.

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