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A fuzzy approach for selecting project membership to achieve cognitive style goals

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  • Shipley, Margaret F.
  • Johnson, Madeline
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    Abstract

    Decision makers select employees for a project to match a particular set of goals pertaining to the multiple criteria mix of skills and competencies needed. Cognitive style influences how a person gathers and evaluates information and consequently, provides skills and competencies toward problem solving. The proposed fuzzy set-based model facilitates the manager's selection of employees who meet the project goal(s) for the preferred cognitive style. The paper presents background information on cognitive styles and fuzzy logic with an algorithm developed based on belief in the fuzzy probability of a cognitive style fitting a defined goal. An application is presented with analysis and conclusions stated.

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 192 (2009)
    Issue (Month): 3 (February)
    Pages: 918-928

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    Handle: RePEc:eee:ejores:v:192:y:2009:i:3:p:918-928

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Fuzzy sets Project management Team member selection Cognitive learning;

    References

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    1. Chenhall, Robert & Morris, Deigan, 1991. "The effect of cognitive style and sponsorship bias on the treatment of opportunity costs in resource allocation decisions," Accounting, Organizations and Society, Elsevier, vol. 16(1), pages 27-46.
    2. John C. Henderson & Paul C. Nutt, 1980. "The Influence of Decision Style on Decision Making Behavior," Management Science, INFORMS, vol. 26(4), pages 371-386, April.
    3. Tsai, Hsien-Tang & Moskowitz, Herbert & Lee, Lai-Hsi, 2003. "Human resource selection for software development projects using Taguchi's parameter design," European Journal of Operational Research, Elsevier, vol. 151(1), pages 167-180, November.
    4. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages B141-B164, December.
    5. Shipley, Margaret F. & de Korvin, Andre & Omer, Khursheed, 2001. "A fuzzy logic-based decision model to satisfy goals for successful product/service introduction," European Journal of Operational Research, Elsevier, vol. 135(1), pages 209-219, November.
    6. Tavares, L. V., 2002. "A review of the contribution of Operational Research to Project Management," European Journal of Operational Research, Elsevier, vol. 136(1), pages 1-18, January.
    7. Michael T. Pich & Christoph H. Loch & Arnoud De Meyer, 2002. "On Uncertainty, Ambiguity, and Complexity in Project Management," Management Science, INFORMS, vol. 48(8), pages 1008-1023, August.
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    Cited by:
    1. Tavana, Madjid & Azizi, Farshad & Azizi, Farzad & Behzadian, Majid, 2013. "A fuzzy inference system with application to player selection and team formation in multi-player sports," Sport Management Review, Elsevier, vol. 16(1), pages 97-110.

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