Technology-Driven Change in Human Resource Management: Reshaping Talent Management and Organizational Design

Umme Thayyiba Khatoon (), Mnahel Babgi, Nejoud Tariq Hadi, Rasiya Nazir Mir and Aditya Velidandi
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Umme Thayyiba Khatoon: Department of Management and Marketing, College of Business, Jazan University, Jazan 45142, Saudi Arabia
Mnahel Babgi: Department of Management and Marketing, College of Business, Jazan University, Jazan 45142, Saudi Arabia
Nejoud Tariq Hadi: Department of Management and Marketing, College of Business, Jazan University, Jazan 45142, Saudi Arabia
Rasiya Nazir Mir: Department of Management and Marketing, College of Business, Jazan University, Jazan 45142, Saudi Arabia
Aditya Velidandi: Department of Biotechnology, Vaagdevi Degree and P.G. College, Warangal 506001, Telangana, India

Administrative Sciences, 2025, vol. 15, issue 11, 1-32

Abstract: The digital transformation of human resource management is fundamentally reshaping how organizations manage talent and design their structures. However, a comprehensive understanding of the drivers, impacts, and implementation challenges of this shift is critically needed. The purpose of this review is to consolidate recent literature to provide a holistic overview of this technology-driven evolution. It examines key technological drivers—such as artificial intelligence, automation, and data analytics—and their profound impact on talent acquisition, development, and retention. The review further analyzes the consequent shifts towards more agile organizational designs, outlines strategic frameworks for successful digital adoption, and identifies common pitfalls. Finally, it identifies future research directions to address gaps in ethical artificial intelligence governance, longitudinal employee well-being, and sector-specific outcomes.

Keywords: artificial intelligence; digital transformation; human resource management; organizational design; technology integration; workforce development (search for similar items in EconPapers)
JEL-codes: L M M0 M1 M10 M11 M12 M14 M15 M16 (search for similar items in EconPapers)
Date: 2025
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