Citation

Abusaadah, Layla Yusuf and Alias, Mazni and Ismail, Norhazlin (2026) Artificial Intelligence (AI) as a Mediator Between Human Resource (HR) Practices and Employee Performance: A Conceptual Framework Grounded in Human Capital and Sociotechnical Systems Theories. Studies in Big Data, 192. pp. 305-313. ISSN 2197-6503

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Abstract

This paper proposes a conceptual framework in which artificial intelligence (AI) mediates the relationship between HR practices and employee performance, highlighting five domains derived from the technical knowledge competencies of SHRM BASK: HR Strategy, Talent Acquisition, Employee Engagement, Learning and Development, and Total Rewards. It illustrates how AI can support the efficiency and effectiveness of these practices to improve employee performance. Using human capital-based theories, the model reinforces the importance of investment in employee skill and knowledge enhancement. The socio-technical systems theory serves to consider the complex integration of digital tools and human values ​​within the workplace. The review of the literature shows that ethical and human-centred integration with AI presents an ethical and human-centred path towards a strategic enabler for the development of HR management and improving employee outcomes.

Item Type:	Article
Uncontrolled Keywords:	Artificial intelligence, Efficiency, Ethical aspects
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	29 Oct 2026 02:42
Last Modified:	29 Oct 2026 02:42
URII:	http://shdl.mmu.edu.my/id/eprint/16977

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