3360. A Spatial and Game-Theoretic Approach to Modeling Salary Expectations in the IT Labor Market
Invited abstract in session Selected Aspects of International Finance and OR 1, stream Selected Aspects of International Finance and OR.
Authors (first author is the speaker)
| 1. | İsmail Özcan
|
| Department of Engineering for Industrial Systems and Technologies, University of Parma | |
| 2. | Gerhard-Wilhelm Weber
|
| Faculty of Engineering Management, Poznan University of Technology | |
| 3. | Jacek Dominik Śledziński
|
| Doctoral School of Poznan University of Technology, Poznan University of Technology |
Abstract
The entry of Generation Z into the labor market creates new challenges for Human Resource Management (HRM), especially in regions with limited talent supply. IT professionals often have high salary expectations and lower organizational loyalty, forcing companies to rethink recruitment strategies. This study combines spatial data analysis with cooperative game theory to examine salary expectations. Using survey data from IT students, the Multivariate Adaptive Regression Splines (MARS) model predicts salary expectations based on spatial factors.
Keywords
- Game Theory
- Human Resources Management
- Decision Theory and Analysis
Status: accepted
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