Journal of the Korean Operations Research and Management Science Society (한국경영과학회지)

The Korean Operations Research and Management Science Society (한국경영과학회)
권호 표지

Use of Managerical Decision Categories for Selecting KA/KR Techniques in HRM Problem Domains

  • Byun, Dae-Ho (Department of Management Information System, Kyungsung University) ;
  • Suh, Eui-Ho (Department of industrial Engineering, Pohang University of Science and Technology)
  • Published : 1996.08.01
Download PDF
⟨ Previous Next ⟩

Abstract

Selection of appropriate knowledge acquisition and representation techniques is regarded as a major task in the development of expert systems. This depends on the characteristics of problem domains. Expert system builders have often adopted a technique without a formal analysis of application domains. The purpose of this paper is to provide the best knowledge aquisition and representation technique for use in human resource management problem domains. In an attempt to meet this purpose, the conceptual contingency model that suggests the best technique according to managerial decision categories is used as a guidance. In order to determine the priority of managerial decision categories, the Analytic Hierarchy Process and an extended method are proposed.

Keywords

References

  1. Journal of Mathematical Psychology v.27 Procedures for synthesizing ratio judgments Aczel,J.;Saaty,T.
  2. Management Bartol,K.M.;Martin,D.C.
  3. Journal of Information Science v.9 Expert systems for management : Research and applications Blanning,R.W.
  4. Expert Systems v.11 no.2 Human resource management expert systems technology. Byun,D.H.;Suh,E.H.
  5. AI Expert v.4 no.9 Picking the right expert system application Casey,J.
  6. Information & Management v.14 Key human resource issues in IS in the 1990s : View of IS executives versus human resource executives Couger,J.D.
  7. Decision Support Systems v.8 Group decision support with the analytic hierarchy process Dyer,R.F.;Forman,E.H.
  8. International Journal of Management v.9 no.2 Using expert systems to improve international productivity Edwards,M.R.
  9. Journal of Systems Management v.39 no.11 Expert systems as human resource management decision tools Extejt,M.M.;Lynn,M.P.
  10. Expert choice Forman,E.H.
  11. Proceedings of the Ninth International Conference on Information Systems Knowledge acquisition methodologies: Survey and empirical assessment Grabowski,M.
  12. Information & Management v.12 On building expert system for strategic planners: A knowledge engineer's experience Goul,M.
  13. Expert Systems v.6 no.2 PEOPLE : A knowledge based system for evaluation of personnel Humpert,B.;Teel,B.;Najar,E.S.;Medsker,L.R.;Cader,M.Z.
  14. Human resource management : Foundations of personnel Ivancevich,J.M.
  15. Decision Support Systems v.4 A survey of knowledge acquisition techniques and their relevance to managerial problem domains Kim,J.;Courtney,J.F.
  16. Information & Management v.23 Expert systems for organizational and managerial tasks Lehner,F.
  17. Structuring expert systems : Domain, design, and development Problem selection for expert systems development Liebowitz,J.;J.Liebowitz(ed.);D.A.Desalvo(ed.)
  18. The structuring of organizations Mintzberg,H.
  19. Human resource management Mondy,R.W.;Noe,R.M.
  20. Applied linear statistical models Neter,J.;Wasserman,W.;Kuter,M.H.
  21. Structuring expert systems : Domain, design, and development Knowledge representation methodologies for expert systems development Ramsey,C.L.;Schultz,A.C.;J.Liebowitz(ed.);D.A.Desalvo(ed.)
  22. The analytic hierarchy process Saaty,T.L.
  23. Analytical planning: The organization of systems Saaty,T.L.;Kearns,K.
  24. Information & Management v.7 Microcomputer selection process for organizational information management Seidmann,A.;Arbel,A.
  25. Information & Management v.19 Managing expert systems : A framework and case study Weitz,R.R,;Meyer,A.D.