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The linear programming alternative to policy capturing for eliciting criteria weights in the performance appraisal process

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  • Horowitz, I.
  • Zappe, C.

Abstract

An important aspect of management is the periodic performance appraisal (PA) of subordinates. This paper focuses on inferring the criteria employed and weights attached to them by an assessor in any PA process. Linear programming (LP) is proposed as an alternative to policy capturing (PC) as the inference mechanism. The LP approach is illustrated and contrasted with regression-based PC approaches. We show that, at a minimum, LP provides facilitating inputs to complement PC.

Suggested Citation

  • Horowitz, I. & Zappe, C., 1995. "The linear programming alternative to policy capturing for eliciting criteria weights in the performance appraisal process," Omega, Elsevier, vol. 23(6), pages 667-676, December.
    • Handle: RePEc:eee:jomega:v:23:y:1995:i:6:p:667-676
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    References listed on IDEAS

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    1. Ilgen, Daniel R. & Barnes-Farrell, Janet L. & McKellin, David B., 1993. "Performance Appraisal Process Research in the 1980s: What Has It Contributed to Appraisals in Use?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 54(3), pages 321-368, April.
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    3. N/A, 1974. "Appraisal," National Institute Economic Review, National Institute of Economic and Social Research, vol. 67(1), pages 3-7, February.
    4. Christopher Zappe & William Webster & Ira Horowitz, 1993. "Using Linear Programming to Determine Post-Facto Consistency in Performance Evaluations of Major League Baseball Players," Interfaces, INFORMS, vol. 23(6), pages 107-113, December.
    5. Dov Pekelman & Subrata K. Sen, 1974. "Mathematical Programming Models for the Determination of Attribute Weights," Management Science, INFORMS, vol. 20(8), pages 1217-1229, April.
    6. V. Srinivasan & Allan Shocker, 1973. "Linear programming techniques for multidimensional analysis of preferences," Psychometrika, Springer;The Psychometric Society, vol. 38(3), pages 337-369, September.
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    Cited by:

    1. Chao Fu & Dong-Ling Xu, 2016. "Determining attribute weights to improve solution reliability and its application to selecting leading industries," Annals of Operations Research, Springer, vol. 245(1), pages 401-426, October.
    2. Liginlal, Divakaran & Ow, Terence T., 2005. "On policy capturing with fuzzy measures," European Journal of Operational Research, Elsevier, vol. 167(2), pages 461-474, December.
    3. Yang, Guo-liang & Yang, Jian-Bo & Xu, Dong-Ling & Khoveyni, Mohammad, 2017. "A three-stage hybrid approach for weight assignment in MADM," Omega, Elsevier, vol. 71(C), pages 93-105.
    4. Ira Horowitz, 2017. "An Efficiency Evaluation of Men’s College Basketball Coaches," The American Economist, Sage Publications, vol. 62(1), pages 77-98, March.
    5. Shirland, Larry E. & Jesse, Richard R. & Thompson, Ronald L. & Iacovou, Charalambos L., 2003. "Determining attribute weights using mathematical programming," Omega, Elsevier, vol. 31(6), pages 423-437, December.
    6. Kornbluth, J. S. H., 1997. "Identifying feasible orderings for performance appraisal," Omega, Elsevier, vol. 25(3), pages 329-334, June.
    7. Jung, Ho-Won, 2001. "A linear programming model dealing with ordinal ratings in policy capturing of performance appraisal," European Journal of Operational Research, Elsevier, vol. 134(3), pages 493-497, November.

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