Artificial Intelligence and its Impact on Talent Management a Field Study in Al-Mustaqbal University

Authors

  • Thabit Jawad Mohammed Dabis Lisefe Tunis and University of Tunis Al-Manar Faculty of Economic Sciences and Management in Tunisia
  • Moncef Guizani Lisefe Tunis and Faculty of Economic Sciences and Management in Nabeul
  • Karrar Hussein Raqzzaq Alrammahi Lisefe Tunis and University of Tunis Al-Manar Faculty of Economic Sciences and Management in Tunisia

Keywords:

Artificial Intelligence, talent management, Al-Mustaqbal University

Abstract

The study examines the integration of artificial intelligence (AI) in talent management practices at Al-Mustaqbal University. As organisations quickly use AI technologies, it is important to understand their implications for human resources. Research checks how the recruitment of AI equipment and employees can increase the connection and result management and provide insight into their efficiency and potential challenges.

A questionnaire was distributed to the employees of the Al-Mustaqbal University; the study identifies areas where AI has made a significant impact. The results suggest that AI-operated equipment streamlines the hiring process, improves the correspondence with the candidate, and individual employees facilitate development plans. In addition, the research data emphasises concern about the need for moral guidelines in privacy and AI use.

Conclusions suggest that although AI provides sufficient benefits in talent management, successful implementation requires a balanced approach that assesses both technical abilities and human elements. Recommendations for future practice and research directions are discussed to encourage the integration of AI into Al-Mustacbal University and beyond human resource management.

References

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Published

2025-05-26

How to Cite

Dabis , T. J. M., Guizani , M., & Alrammahi , K. H. R. (2025). Artificial Intelligence and its Impact on Talent Management a Field Study in Al-Mustaqbal University. American Journal of Corporate Management, 2(5), 14–21. Retrieved from https://semantjournals.org/index.php/AJCM/article/view/1784

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