• DocumentCode
    3447204
  • Title

    Task-centered research: understanding, augmenting and discovering managerial expertise

  • Author

    Prietula, M.J. ; Lawrence, Stephen R. ; Greene, David P.

  • Author_Institution
    Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    4
  • fYear
    1988
  • fDate
    5-8 Jan 1988
  • Firstpage
    245
  • Lastpage
    253
  • Abstract
    A research framework, called task-centered research, is described for studying managerial expertise in complex task environments. A difficult, complex, and real-world task forms the focus for research aimed at understanding reasoning expertise in management. Three research efforts within the framework are presented to illustrate how it can be instantiated in practice and in the context of managerial decision-making. One effort is explicitly oriented to the study of reasoning in experts and novices. The second involves the construction of an expert system that both models the expert´s methods and augments managerial decision-making. The third effort concerns the application of machine learning techniques for discovering rules that form the knowledge-base of expert judgement
  • Keywords
    DP management; behavioural sciences computing; complex task environments; expert judgement; expert system; experts; knowledge-base; machine learning; management; managerial decision-making; managerial expertise; novices; reasoning expertise; rules; task-centered research; Artificial intelligence; Cognitive science; Environmental management; Expert systems; Fabrics; Humans; Machine learning; Modems; Resource management; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 1988. Vol.IV. Applications Track., Proceedings of the Twenty-First Annual Hawaii International Conference on
  • Conference_Location
    Kailua-Kona, HI
  • Print_ISBN
    0-8186-0844-7
  • Type

    conf

  • DOI
    10.1109/HICSS.1988.11990
  • Filename
    11990