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Applying fuzzy logic to personnel assessment: a case study

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  • Capaldo, Guido
  • Zollo, Giuseppe

Abstract

The main results of a research project spanning over several years are presented in this paper. The aim of the research was the improvement of the effectiveness of personnel assessment within a large Italian corporation operating in the research sector. The first step of the research consisted of the analysis of the raters' behavior, so as to elicit the judgement categories and prototypes they used in the judgement formulation, based on the rating method adopted in the corporation. The second step consisted of improving the rating method using fuzzy logic. The corporate management tested the new rating method and found it more efficient and reliable than the previous one.

Suggested Citation

  • Capaldo, Guido & Zollo, Giuseppe, 2001. "Applying fuzzy logic to personnel assessment: a case study," Omega, Elsevier, vol. 29(6), pages 585-597, December.
    • Handle: RePEc:eee:jomega:v:29:y:2001:i:6:p:585-597
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    References listed on IDEAS

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    1. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    2. Allan Blrd & Schon Beechler, 1995. "Links Between Business Strategy and Human Resource Management Strategy in U.S.-Based Japanese Subsidiaries: An Empirical Investigation," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 26(1), pages 23-46, March.
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    Cited by:

    1. Evrim MAYATURK AKYOL & Mehmet Emre GULER, 2017. "Role of Competencies in Employee Selection Function: A Fuzzy Analytical Hierarchy Process Approach," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 17(2), pages 201-214.
    2. Abderrahmen Mediouni & Nicolas Zufferey & Nachiappan Subramanian & Naoufel Cheikhrouhou, 2019. "Fit between humanitarian professionals and project requirements: hybrid group decision procedure to reduce uncertainty in decision-making," Annals of Operations Research, Springer, vol. 283(1), pages 471-496, December.
    3. M. Yepes-Baldó & M. Romeo & S. Bòria-Reverter & F. J. Pérez & J. Guàrdia-Olmos, 2016. "Uncertain averaging operators: a new way to study the psychosocial organizational phenomena," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2725-2739, November.
    4. Desmond Eseoghene Ighravwe & Sunday Ayoola Oke, 2019. "An integrated approach of SWARA and fuzzy COPRAS for maintenance technicians’ selection factors ranking," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(6), pages 1615-1626, December.
    5. Jessop, Alan, 2004. "Minimally biased weight determination in personnel selection," European Journal of Operational Research, Elsevier, vol. 153(2), pages 433-444, March.

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