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Abbas Ali, Dhakir
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Humanities Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Artificial Intelligence and the Future of Work: Empirical Insights from Human Resource Management in Libya Shouran, Zaied; Abbas Ali, Dhakir
Journal of International Conference Proceedings Vol 7, No 5 (2024): 2024 ICPM Bali Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v7i5.3934

Abstract

Human resources (HR) and artificial intelligence (AI) have been the subject of numerous studies. This study looks at how the development of artificial intelligence and improvements in the oil sector affect human resource management. AI may be used by human resources (HR) professionals in recruiting and employee evaluations. By polling 200 HR experts from various Libyan oil businesses, the study aims to ascertain if the inventiveness and usability of HR operations influence the interaction between artificial intelligence and human resource functions in the Libyan oil sector. The hypothesis that these two variables are positively correlated was tested using multiple regression analysis. The results showed a relationship between better HR functional performance and a rise in the use of AI in the workplace. There is evidence, meanwhile, that artificial intelligence (AI) affects human resources in innovation and convenience. AI's utility and innovativeness are closely tied.
Co-Authors Shouran, Zaied