The Role of ChatGPT in Modern Human Resource Management: A Decision Support Perspective for Human Resource Allocation Problems

This paper explores the role of ChatGPT v4 as a decision-support tool in Human Resource Management (HRM), specifically focusing on its ability to solve Human Resource Allocation Problems (HRAP).ChatGPT's performance is evaluated across three classic HR allocation scenarios: the classic assignment problem, the classic assignment problem recognizing agent qualifications and the k-cardinality assignment problem.By using natural language to describe tasks as a manager would, the study simulates real-world HR decision-making.In addition, the solutions provided is verified by comparing them to results produced by a Python optimization solver.This method aims to verify that the output of the ChatGPT system is accurate and optimized relative to traditional optimization methods, providing a thorough evaluation of its performance.

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Published
2024-12-13
DOI
https://doi.org/10.1145/3716554.3716559
Primary Topic
AI and HR Technologies
Type
article
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article

The Role of ChatGPT in Modern Human Resource Management: A Decision Support Perspective for Human Resource Allocation Problems

Fotios Panagiotopoulos, Vassilios Chatzis
AI and HR Technologies
article

The Role of ChatGPT in Modern Human Resource Management: A Decision Support Perspective for Human Resource Allocation Problems

Fotios Panagiotopoulos, Vassilios Chatzis
article en

Abstract

This paper explores the role of ChatGPT v4 as a decision-support tool in Human Resource Management (HRM), specifically focusing on its ability to solve Human Resource Allocation Problems (HRAP).ChatGPT's performance is evaluated across three classic HR allocation scenarios: the classic assignment problem, the classic assignment problem recognizing agent qualifications and the k-cardinality assignment problem.By using natural language to describe tasks as a manager would, the study simulates real-world HR decision-making.In addition, the solutions provided is verified by comparing them to results produced by a Python optimization solver.This method aims to verify that the output of the ChatGPT system is accurate and optimized relative to traditional optimization methods, providing a thorough evaluation of its performance.

Democritus University of Thrace (GR)
Openalex Percentile: Top 60%
AI and HR Technologies
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