Artificial Intelligence–Based Predictive Models in Human Resource Management and Their Importance in Developing Human Capital

A Systematic Review

DOI

10.2991/978-94-6239-711-8_11How to use a DOI?

Keywords

artificial intelligence; predictive models; human resource management; human capital development advanced human resource analytics

Abstract

The domain of human resource management is witnessing rapid transformation driven by advanced developments in artificial intelligence technologies, especially predictive models, which have become a pivotal tool for supporting strategic decision-making and developing human cap ital. This study aims to offer a systematic review of the scientific literature discussing the application of artificial intelligence–based predictive models in human resource management and to analyze their contributions to improving managerial decision-making effectiveness and human capital development within organization. The study adopts a systematic literature review methodology in accordance with PRISMA guidelines, drawing on the Science Direct and Taylor & Francis databases. The processes of searching, screening, and filtering resulted in the selection of 51 scientific studies, which were subjected to qualitative thematic analysis within various the oretical frameworks, most notably human capital theory and the knowledge-based view. The results demonstrate that predictive models contribute to enhancing the accuracy of recruitment decisions, predicting employee turnover, supporting strategic workforce planning, and determining skill gaps, thereby promoting human capital development. In contrast, the study emphasizes persistent challenges associated with data quality, algorithmic bias, and ethical and regulatory considerations. The study concludes by highlighting the need to adopt integrated governance frame works to ensure the effective and responsible use of predictive models in human resource management.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sofiane Mansouri
AU  - Kamel Mansouri
PY  - 2026
DA  - 2026/06/24
TI  - Artificial Intelligence–Based Predictive Models in Human Resource Management and Their Importance in Developing Human Capital
BT  - Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)
PB  - Atlantis Press
SP  - 99
EP  - 108
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-711-8_11
DO  - 10.2991/978-94-6239-711-8_11
ID  - Mansouri2026
ER  -