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

Saeed Najafi-Zangeneh (), Naser Shams-Gharneh (), Olivier Gossner () and Ehsan Abbasi
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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 - IP Paris - Institut Polytechnique de Paris - 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 - IP Paris - Institut Polytechnique de Paris
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 - IP Paris - Institut Polytechnique de Paris - 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

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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.

Keywords: Job Offer Package Optimization; Mixed-Integer Linear Programming (MILP); Gale and Shapley Algorithm (search for similar items in EconPapers)
Date: 2024-06-30
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Published in 33rd European Conference on Operational Reseach (EURO 2024), Association of European Operational Research Societies, Jun 2024, Copenhagen, Denmark

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:emse-04682741

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