Artificial Intelligence and Human Resource Management: A Theoretical Framework for Economic Transformation and Workforce Evolution

Authors

  • Huda Megeirhi كلية الاقتصاد-جامعة بنغازي، بنغازي-ليبيا Author
  • Abdelsalam Saad Business administration departments, university of Banghazi Author

Keywords:

Artificial Intelligence, Human Resource Management, Human Capital Theory, Digital Transformation, Competitive Advantage

Abstract

This theoretical paper explores the strategic role of Artificial Intelligence (AI) in transforming Human Resource Management (HRM) and shaping broader economic outcomes, with particular relevance for developing economies undergoing rapid digital transition. The paper seeks to conceptually explain the mechanisms through which AI-enabled HR practices enhance organizational performance, labour-market efficiency, and national economic competitiveness. Grounded in Human Capital Theory, Digital Transformation Theory, and the Resource-Based View (RBV), this study provides an integrated framework linking micro-level AI adoption in HR to macro-level productivity, innovation capacity, and sustainable economic growth. As global organizations navigate ongoing restructuring and labour-market shifts, this paper offers theoretical clarity and forward-looking insights for policymakers, HR leaders, and scholars.

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Published

2026-06-30

Issue

Vol. 24 No. 1 (2026): JHSS

Section

Original Articles

How to Cite

Artificial Intelligence and Human Resource Management: A Theoretical Framework for Economic Transformation and Workforce Evolution. (2026). Journal of Human and Social Sciences, 24(1), 1-11. https://jbas.lafsrj.ly/index.php/JHSS/article/view/437