IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v10y2024i12p380-401.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-12/380-401.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijrsi/articles/strategic-hr-management-in-the-manufacturing-industry-balancing-automation-and-workforce-development/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Carlsson, Bo, 1983. "The Machine Tool Industry – Problems and Prospects in an International Perspective," Working Paper Series 96, Research Institute of Industrial Economics.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nsisong Louis Eyo-Udo & Chuwkwunweike Mokogwu & Amarachi Queen Olufemi-Phillips & Titilope Tosin Adewale, 2024. "Developing Ethical Frameworks for Sustainable Food Pricing Through Supply Chain Transparency," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(12), pages 919-947, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bachmann, Ronald & Gonschor, Myrielle & Lewandowski, Piotr & Madoń, Karol, 2024. "The impact of Robots on Labour market transitions in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 422-441.
    2. Auktor, Georgeta Vidican, 2022. "The opportunities and challenges of Industry 4.0 for industrial development: A case study of Morocco's automotive and garment sectors," IDOS Discussion Papers 2/2022, German Institute of Development and Sustainability (IDOS).
    3. Beier, Grischa & Matthess, Marcel & Shuttleworth, Luke & Guan, Ting & de Oliveira Pereira Grudzien, David Iubel & Xue, Bing & Pinheiro de Lima, Edson & Chen, Ling, 2022. "Implications of Industry 4.0 on industrial employment: A comparative survey from Brazilian, Chinese, and German practitioners," Technology in Society, Elsevier, vol. 70(C).
    4. Cirillo, Valeria & Rinaldini, Matteo & Staccioli, Jacopo & Virgillito, Maria Enrica, 2021. "Technology vs. workers: the case of Italy’s Industry 4.0 factories," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 166-183.
    5. Marco Guerrazzi & Giuseppe Candido, 2025. "The determination of the price of capital goods: A differential game approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(1), pages 222-234, January.
    6. Fana, Marta & Villani, Davide, 2022. "Decomposing the Automotive Supply Chain: Employment, Value Added and Occupational Structure," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 407-419.
    7. Angelo Moro & Maria Enrica Virgillito, 2022. "Towards Factory 4.0? Convergence and divergence of lean models in Italian automotive plants," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 22(2), pages 245-271.
    8. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    9. Virginia Doellgast & Ines Wagner & Sean O’Brady, 2023. "Negotiating limits on algorithmic management in digitalised services: cases from Germany and Norway," Transfer: European Review of Labour and Research, , vol. 29(1), pages 105-120, February.
    10. Blanka, Christine & Krumay, Barbara & Rueckel, David, 2022. "The interplay of digital transformation and employee competency: A design science approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    11. Butollo, Florian & Gereffi, Gary & Yang, Chun & Krzywdzinski, Martin, 2022. "Digital transformation and value chains: Introduction," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 22(4), pages 585-594.
    12. Krzywdzinski, Martin & Gerber, Christine & Evers, Maren, 2018. "The Social Consequences of the Digital Revolution," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 101-120.
    13. Campuzano-Bolarín, Francisco & Marín-García, Fulgencio & Moreno-Nicolás, José Andrés & Bogataj, Marija & Bogataj, David, 2021. "Impacts of variable interest rates on the market areas of a spatial duopoly in supply chains operating on the finite horizon," International Journal of Production Economics, Elsevier, vol. 236(C).
    14. Giancarlo Corò & Monica Plechero & Francesco Rullani & Mario Volpe, 2020. "The Evolution of Technological Space and Firms' Workforce Composition in a Manufacturing Region," Working Papers 2020:12, Department of Economics, University of Venice "Ca' Foscari".
    15. Grah, Barbara & Penger, Sandra, 2021. "COVID-19 and the Challenges of Transition to Online Learning," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2021), Hybrid Conference, Zagreb, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Zagreb, Croatia, 9-10 September 2021, pages 131-145, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    16. Kolade, Oluwaseun & Owoseni, Adebowale, 2022. "Employment 5.0: The work of the future and the future of work," Technology in Society, Elsevier, vol. 71(C).
    17. CARBONELL Juan Sebastian, 2024. "In search of the twin transition: the limited performativity of the « green and digital » transitions in the European automotive industry," JRC Working Papers on Labour, Education and Technology 2024-05, Joint Research Centre.
    18. Violeta Sima & Ileana Georgiana Gheorghe & Jonel Subić & Dumitru Nancu, 2020. "Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review," Sustainability, MDPI, vol. 12(10), pages 1-28, May.
    19. Szalavetz, Andrea, 2022. "Transition to electric vehicles in Hungary: A devastating crisis or business as usual?," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    20. Chiara Cimini & David Romero & Roberto Pinto & Sergio Cavalieri, 2023. "Task Classification Framework and Job-Task Analysis Method for Understanding the Impact of Smart and Digital Technologies on the Operators 4.0 Job Profiles," Sustainability, MDPI, vol. 15(5), pages 1-28, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjc:journl:v:10:y:2024:i:12:p:380-401. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrsi/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.