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Optimizing Job Offer Packages: How Can Organizations Enhance Personnel Selection?

Author

Listed:
  • Saeed Najafi-Zangeneh

    (CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - CNRS - Centre National de la Recherche Scientifique, X - École polytechnique - IP Paris - Institut Polytechnique de Paris, Department of Industrial Engineering & Management Systems, Amirkabir University of Technology, Tehran Polytechnique, ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique)

  • Naser Shams-Gharneh

    (AUT - Amirkabir University of Technology)

  • Olivier Gossner

    (X - École polytechnique - IP Paris - Institut Polytechnique de Paris, CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - CNRS - Centre National de la Recherche Scientifique, Department of Mathematics London School of Economics - LSE - London School of Economics and Political Science)

  • Ehsan Abbasi

    (Department of Industrial Engineering & Management Systems, Amirkabir University of Technology, Tehran Polytechnique)

Abstract

Personnel selection in competitive two-sided markets presents challenges for organizations seeking to attract high-quality candidates while managing their costs. However, existing models often overlook the optimization of job-offer packages to address both candidate preferences and organizational objectives. This paper addresses this research gap by proposing a novel mathematical model for determining the optimal job offer package. Our model integrates candidate preferences and organizational costs, offering a solution to the selection process. Utilizing a two-stage Mixed-Integer Linear Programming (MILP) approach, we employ the Gale and Shapley algorithm to facilitate efficient two-sided matching. Through a case study, we validate the effectiveness of our model in providing actionable insights for organizations seeking to enhance their hiring processes and attract top talent. This innovative approach marks a significant advancement in the realm of personnel selection, offering organizations a robust framework to navigate the complexities of two-sided market dynamics with precision and efficacy.

Suggested Citation

  • Saeed Najafi-Zangeneh & Naser Shams-Gharneh & Olivier Gossner & Ehsan Abbasi, 2024. "Optimizing Job Offer Packages: How Can Organizations Enhance Personnel Selection?," Post-Print emse-04682741, HAL.
    • Handle: RePEc:hal:journl:emse-04682741
    as

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