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Estimating the economic impact of personnel selection tools on counterproductive work behaviors

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  • Saul Fine

Abstract

Well established methods are available for estimating the monetary value of tools used to predict job performance in personnel selection. However, similar methods for estimating the value of tools used to predict counterproductive work behaviors (CWB) have been less well researched. This article presents two possible techniques for studying the latter issue among job applicants. The techniques are based primarily on rational estimates of SDy for CWB, and on the tools’ true-positive rates. Anecdotal validity evidence is then used to demonstrate each technique. While more comprehensive research is still needed in this area, methods such as these may already facilitate better informed personnel decisions for managing CWB.

Suggested Citation

  • Saul Fine, 2012. "Estimating the economic impact of personnel selection tools on counterproductive work behaviors," Economics and Business Letters, Oviedo University Press, vol. 1(4), pages 1-9.
    • Handle: RePEc:ove:journl:aid:9523
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    File URL: https://reunido.uniovi.es/index.php/EBL/article/view/9523
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    Cited by:

    1. Aharon Tziner & Erich C. Fein, 2012. "Modeling employees' deviant behavior and employers' reactions: an interdisciplinary approach using principal-agent and prospect theories," Economics and Business Letters, Oviedo University Press, vol. 1(4), pages 10-20.
    2. Aharon Tziner & Assa Birati, 2015. "Assessing the Financial Value of Human Resource Management Programs and Employee Behaviors: A Critical Tool Still Coming of Age," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 17(S9), pages 1259-1259, November.
    3. Aharon Tziner & Assa Birati, 2015. "Assessing the Financial Value of Human Resource Management Programs and Employee Behaviors: A Critical Tool Still Coming of Age," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 17(Special 9), pages 1259-1259, November.

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