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Employee turnover prediction and retention policies design: a case study

Author

Listed:
  • Edouard Ribes

    (IRSEM - Institut de recherche stratégique de l'Ecole militaire - Ministère des armées)

  • Karim Touahri

    (UPD5 - Université Paris Descartes - Paris 5)

  • Benoît Perthame

    (LJLL - Laboratoire Jacques-Louis Lions - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper illustrates the similarities between the problems of customer churn and employee turnover. An example of employee turnover prediction model leveraging classical machine learning techniques is developed. Model outputs are then discussed to design & test employee retention policies. This type of retention discussion is, to our knowledge, innovative and constitutes the main value of this paper.

Suggested Citation

  • Edouard Ribes & Karim Touahri & Benoît Perthame, 2017. "Employee turnover prediction and retention policies design: a case study," Working Papers hal-01556746, HAL.
    • Handle: RePEc:hal:wpaper:hal-01556746
    Note: View the original document on HAL open archive server: https://hal.science/hal-01556746
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    References listed on IDEAS

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    1. K. Coussement & D. Van Den Poel, 2006. "Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/412, Ghent University, Faculty of Economics and Business Administration.
    2. TANOVA Cem, 2006. "Using Job Embeddedness Factors to Explain Voluntary Turnover in Five European Countries," IRISS Working Paper Series 2006-04, IRISS at CEPS/INSTEAD.
    3. Lessmann, Stefan & Voß, Stefan, 2009. "A reference model for customer-centric data mining with support vector machines," European Journal of Operational Research, Elsevier, vol. 199(2), pages 520-530, December.
    4. Doumic, Marie & Perthame, Benoît & Ribes, Edouard & Salort, Delphine & Toubiana, Nathan, 2017. "Toward an integrated workforce planning framework using structured equations," European Journal of Operational Research, Elsevier, vol. 262(1), pages 217-230.
    5. Marie Doumic & Benoît Perthame & Edouard Ribes & Delphine Salort & Nathan Toubiana, 2017. "Toward an integrated workforce planning framework using structured equations," Post-Print hal-01343368, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Edouard Ribes, 2021. "What is the effect of labor displacement on management consultants?," SN Business & Economics, Springer, vol. 1(2), pages 1-22, February.

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    More about this item

    Keywords

    Churn prediction; Machine learning techniques; Employee Turnover; Classifi- cation; Retention Policy; Workforce Planning;
    All these keywords.

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