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3769. Optimizing Job Offer Packages: How Can Organizations Enhance Personnel Selection?
Invited abstract in session WA-45: Decision Support for Operations Management, stream Decision Support Systems.
Wednesday, 8:30-10:00Room: 30 (building: 324)
Authors (first author is the speaker)
| 1. | Saeed Najafi-Zangeneh
|
| ENSAE-Ecole Polytechnique | |
| 2. | Naser Shams
|
| Amirkabir University of Technology | |
| 3. | Olivier Gossner
|
| Ecole Polytechnique | |
| 4. | Ehsan Abbasi
|
| Amirkabir University of Technology |
Abstract
Personnel selection in competitive two-sided markets presents challenges for organizations seeking to attract high-quality candidates while managing 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 comprehensive 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 matching. Through a small 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.
Keywords
- Decision Analysis
- Human Resources Management
- Utility Systems
Status: accepted
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