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Strategic HR Management in the Manufacturing Industry: Balancing Automation and Workforce Development

Author

Listed:
  • Joy Otibhor Olurin

    (Hopewell Company Limited, Ibadan, Oyo State, Nigeria)

  • Franciscamary Okonkwo

    (Onesubsea (a SLB Company), Nigeria)

  • Tobechukwu Eleogu

    (Total Energy Marketing Nigeria PLC, Nigeria)

  • Oladapo Olakunle James

    (Independent Researcher, Nigeria)

  • Nsisong Louis Eyo-Udo

    (Ulster University, UK)

  • Rosita Eberechukwu Daraojimba

    (Department of Business Administration, Ahmadu Bello University, Zaria, Nigeria)

Abstract

In an era where automation increasingly intersects with the workforce in the manufacturing industry, this paper delves into the strategic management of human resources (HR) to navigate this evolving landscape. The study’s purpose was to analyze the transformation of HR roles amidst technological advancements and to develop strategies that align workforce development with automation. Employing a comprehensive literature review as its methodological backbone, the paper meticulously examines academic research and industry case studies. This approach facilitates a nuanced understanding of the dynamic interplay between human resources and technological progress in manufacturing settings. The findings reveal diverse HR management approaches in automated environments, highlighting the necessity for innovative HR practices that not only adapt to but also leverage technological advancements. The study emphasizes the importance of enhancing workforce skills to keep pace with automation, underscoring the need for strategic workforce development. Conclusively, the paper advocates for a balanced integration of automation and human resource development. It recommends a strategic, adaptive approach to HR management, ensuring that human resources remain a pivotal element in the technologically evolving manufacturing sector. The study concludes that the future of manufacturing lies in harmonizing technological innovation with a skilled, adaptable workforce, thereby fostering a symbiotic relationship between humans and machines.

Suggested Citation

  • Joy Otibhor Olurin & Franciscamary Okonkwo & Tobechukwu Eleogu & Oladapo Olakunle James & Nsisong Louis Eyo-Udo & Rosita Eberechukwu Daraojimba, 2024. "Strategic HR Management in the Manufacturing Industry: Balancing Automation and Workforce Development," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 10(12), pages 380-401, January.
    • Handle: RePEc:bjc:journl:v:10:y:2024:i:12:p:380-401
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    References listed on IDEAS

    as
    1. Shuai Shao & Zhanzhong Shi & Yirong Shi, 2022. "Impact of AI on employment in manufacturing industry," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 1-18, September.
    2. Martina Calzavara & Daria Battini & David Bogataj & Fabio Sgarbossa & Ilenia Zennaro, 2020. "Ageing workforce management in manufacturing systems: state of the art and future research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 58(3), pages 729-747, February.
    3. Krzywdzinski, Martin, 2017. "Automation, skill requirements and labour-use strategies: high-wage and low-wage approaches to high-tech manufacturing in the automotive industry," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 32(3), pages 247-267.
    4. Cecil Pearson & Subramaniam Ananthram, 2008. "Career Development, Job Satisfaction, and Career Commitment: Evidence from the Singaporean Hospitality Industry," Paradigm, , vol. 12(2), pages 12-28, July.
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