Assessing the Future of HRM: Exploring the Transformative Role of Artificial Intelligence in Realizing the UAE's Vision 2031 for AI-Driven Human Resources Practices

Ashraf  Awad; Ahmad   Mousa; Elsaid   Abdelaziz; Ahmed Attia

doi:10.48161/qaj.v5n4a1968

Authors

Ashraf Awad Department of Human Resources Management, Academic Programs for Military Colleges, Abu Dhabi University, P.O.Box 59911, Abu Dhabi, UAE;
Ahmad Mousa Department of Human Resources Management, Academic Programs for Military Colleges, Abu Dhabi University, P.O.Box 59911, Abu Dhabi, UAE;
Elsaid Abdelaziz Department of English Language, Academic Programs for Military Colleges, Abu Dhabi University, P.O.Box 59911, Abu Dhabi, UAE;
Ahmed Attia Department of Supply Chain Management, Academic Programs for Military Colleges, Abu Dhabi University, P.O.Box 59911, Abu Dhabi, UAE.

DOI:

https://doi.org/10.48161/qaj.v5n4a1968

Keywords:

artificial intelligence, human resources management practices, perceived ease of use, perceived usefulness, attitude, intention, technology acceptance model.

Abstract

The current research was set to investigate the indirect impact of the adoption of AI in the UAE on AI-driven human resource management through the mediation of the Technology Acceptance Model. A total of 171 surveys were found to be valid and usable after being collected from human resource professionals working in both the Ministry of Energy and Infrastructure and the Ministry of Human Resources and Emiratization. We tested the hypotheses using SmartPLS4 software through partial least squares structural equation modeling (PLS-SEM). The research reported that AI adoption positively and significantly affects human resource management practices within the UAE. In addition, it had a great positive impact on the perceived usefulness and ease of use of AI in the UAE. Perceived ease of use, in turn, had a significant and positive impact on the attitude of users toward use and on perceived usefulness. Therefore, perceived usefulness had a substantial positive impact on attitudes and behavioral intentions of users in the use of AI technology. That is, user intentions significantly impacted the AI-driven HRM practices relating to the deployment of AI technology. So, the Technology Acceptance Model played a key role, leading to a notable indirect influence on AI-driven HRM practices in the UAE. Therefore, the integration of AI technology into human resources management has taken place.

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