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Faculty of Communication and Media Studies, Universiti Technology MARA, Shah Alam Malaysia

Author

Listed:
  • Mohamad Noorman Masrek

    (School of Information Science, College of Computing, Informatics and Mathematics Universiti Technology MARA, Cawangan Selangor, Malaysia)

  • Muhammad Asyraf Wahi Anuar

    (School of Information Science, College of Computing, Informatics and Mathematics Universiti Technology MARA, Cawangan Selangor, Malaysia)

  • Nurul Hijja Mazlan

    (Faculty of Communication and Media Studies, Universiti Technology MARA, Shah Alam Malaysia)

Abstract

Generative Artificial Intelligence (GenAI) has emerged as a transformative technology in human resource management, offering significant opportunities for cost reduction and operational efficiency. By automating and optimizing Human Resources (HR) processes such as recruitment, employee training, compensation management, and performance monitoring, GenAI empowers HR teams to focus on strategic initiatives. Tools like ChatGPT, Lumen5, and DeepL enhance efficiency by generating job descriptions, creating personalized training materials, and translating content, while also fostering inclusivity and adaptability in global contexts. Despite its potential, the adoption of GenAI poses challenges, including data privacy concerns, integration with existing systems, ethical considerations, and resistance to change among HR professionals and employees. This article outlines strategic pathways for successfully integrating GenAI into HR functions, emphasizing phased implementation, cross-departmental collaboration, and continuous professional development. It also advocates for promoting an inclusive organizational culture to build trust and acceptance of AI technologies. While this discussion highlights the potential and challenges of GenAI in HR, it underscores the need for empirical research to validate its effectiveness and guide its ethical application. Future studies are essential to establish evidence-based insights that will enable organizations to leverage GenAI for sustainable and responsible HR transformation.

Suggested Citation

  • Mohamad Noorman Masrek & Muhammad Asyraf Wahi Anuar & Nurul Hijja Mazlan, 2025. "Faculty of Communication and Media Studies, Universiti Technology MARA, Shah Alam Malaysia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(1), pages 2343-2355, January.
  • Handle: RePEc:bcp:journl:v:9:y:2025:i:1:p:2343-2355
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    References listed on IDEAS

    as
    1. Zhu, Jun & Zhang, Jingting & Feng, Yiqing, 2022. "Hard budget constraints and artificial intelligence technology," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    2. Veland Ramadani & Erick P. C. Chang & Ramo Palalić & Esra Memili, 2024. "Human Resource Management in Family Businesses," Springer Texts in Business and Economics, in: Entrepreneurial Family Businesses, edition 2, chapter 6, pages 117-131, Springer.
    3. Sunil Mithas & Zhi‐Long Chen & Terence J.V. Saldanha & Alysson De Oliveira Silveira, 2022. "How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4475-4487, December.
    4. Teresa Godinho & Isabel Pinto Reis & Rui Carvalho & Filipa Martinho, 2023. "Onboarding Handbook: An Indispensable Tool for Onboarding Processes," Administrative Sciences, MDPI, vol. 13(3), pages 1-21, March.
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