The linear programming alternative to policy capturing for eliciting criteria weights in the performance appraisal process
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.
Volume (Year): 23 (1995)
Issue (Month): 6 (December)
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- 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.
- Bernardo, John J & Blin, Jean-Marie, 1977. " A Programming Model of Consumer Choice among Multi-Attributed Brands," Journal of Consumer Research, University of Chicago Press, vol. 4(2), pages 111-18, Se.
- V. Srinivasan & Allan Shocker, 1973. "Linear programming techniques for multidimensional analysis of preferences," Psychometrika, Springer, vol. 38(3), pages 337-369, September.
- 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.
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