Optimizing Job Offer Packages: How Can Organizations Enhance Personnel Selection? - Mines Saint-Étienne
Conference Papers Year : 2024

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

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.
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Dates and versions

emse-04682741 , version 1 (30-08-2024)

Identifiers

  • HAL Id : emse-04682741 , version 1

Cite

Saeed Najafi-Zangeneh, Naser Shams-Gharneh, Olivier Gossner, Ehsan Abbasi. Optimizing Job Offer Packages: How Can Organizations Enhance Personnel Selection?. 33rd European Conference on Operational Reseach (EURO 2024), Association of European Operational Research Societies, Jun 2024, Copenhagen, Denmark. ⟨emse-04682741⟩
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