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Robots, Industry 4.0 and humans, or why assembly work is more than routine work

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  • Pfeiffer, Sabine

Abstract

This article condenses the key findings of qualitative studies on assembly work. Grounded conceptually in considerations of the role of experiential knowledge and living labor capacity with regard to informal expertise and tacit knowledge, the empirical results challenge the dominant view of assembly work as routine tasks that could easily be replaced by robotics. The empirical basis comprised of 62 qualitative interviews in five assembly plants provides answers to two questions: Are there non-routine aspects to be found in assembly work today? What exactly is the nature of experience in assembly work? The detailed research results are presented in three steps: the first focuses on the role of the non-routine in core assembly tasks; the second discusses the important and increasing role played by interactive capabilities in assembly work to ensure high performance, quality, and a smooth material flow; and the third highlights the usually neglected role of assembly workers in processes of innovation and organizational learning. The concluding chapter discusses the findings from the perspective of new technological options in robotics, possible worker resistance and effects on employment.

Suggested Citation

  • Pfeiffer, Sabine, 2016. "Robots, Industry 4.0 and humans, or why assembly work is more than routine work," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 6(2 (Articl), pages 1-26.
  • Handle: RePEc:zbw:espost:172007
    DOI: 10.3390/soc6020016
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    Cited by:

    1. Krzywdzinski, Martin, 2019. "Digitalisierung und Wandel der globalen Arbeitsteilung. Industriearbeit im Wandel," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 88-109.
    2. A. Cetrulo & A. Sbardella & M. E. Virgillito, 2023. "Vanishing social classes? Facts and figures of the Italian labour market," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 97-148, January.
    3. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020. "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(6), pages 1345-1379.
    4. Pier Giacomo Cardinali & Pietro De Giovanni, 2022. "Responsible digitalization through digital technologies and green practices," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(4), pages 984-995, July.
    5. Krings, Bettina-Johanna & Moniz, António & Frey, Philipp, 2021. "Technology as enabler of the automation of work? Current societal challenges for a future perspective of work [A tecnologia como facilitadora da automação do trabalho? Desafios sociais atuais para ," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(21), pages 7-30.
    6. Caroline Lloyd & Jonathan Payne, 2021. "Fewer jobs, better jobs? An international comparative study of robots and ‘routine’ work in the public sector," Industrial Relations Journal, Wiley Blackwell, vol. 52(2), pages 109-124, March.
    7. Prodi, Elena & Tassinari, Mattia & Ferrannini, Andrea & Rubini, Lauretta, 2022. "Industry 4.0 policy from a sociotechnical perspective: The case of German competence centres," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    8. Dashi Nazarov & Anton Klarin, 2020. "Taxonomy of Industry 4.0 research: Mapping scholarship and industry insights," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 535-556, July.
    9. Muhammad Haseeb & Hafezali Iqbal Hussain & Beata Ślusarczyk & Kittisak Jermsittiparsert, 2019. "Industry 4.0: A Solution towards Technology Challenges of Sustainable Business Performance," Social Sciences, MDPI, vol. 8(5), pages 1-24, May.
    10. Christian Resch, 2017. "Networks in Assembly: Investigating Social Factors in Robotic Automation," IET Working Papers Series 01/2017, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
    11. Martin Krzywdzinski & Detlef Gerst & Florian Butollo, 2023. "Promoting human-centred AI in the workplace. Trade unions and their strategies for regulating the use of AI in Germany," Transfer: European Review of Labour and Research, , vol. 29(1), pages 53-70, February.
    12. Krzywdzinski, Martin & Gerst, Detlef & Butollo, Florian, 2022. "Promoting human-centred AI in the workplace. Trade unions and their strategies for regulating the use of AI in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue OnlineFir, pages 1-1.
    13. Kristen Haynes & Gregory Harris & Mark C. Schall & Jia Liu & Jerry Davis, 2024. "Gauging the Technology Acceptance of Manufacturing Employees: A New Measure for Pre-Implementation," Sustainability, MDPI, vol. 16(12), pages 1-19, June.
    14. 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.
    15. Mauro Caselli & Andrea Fracasso & Sergio Scicchitano & Silvio Traverso & Enrico Tundis, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," DEM Working Papers 2021/06, Department of Economics and Management.
    16. Naudé, Wim & Nagler, Paula, 2017. "Technological Innovation and Inclusive Growth in Germany," IZA Discussion Papers 11194, Institute of Labor Economics (IZA).
    17. 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.
    18. Shen Kian Tan & Sivan Rajah, 2019. "Evoking Work Motivation in Industry 4.0," SAGE Open, , vol. 9(4), pages 21582440198, October.
    19. Moniz, António Brandão & Krings, Bettina-Johanna, 2022. "“Manufacturing Life” in Real Work Processes? New Manufacturing Environments with Micro- and Nanorobotics," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Latest ar.
    20. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
    21. Honorine Harlé & Pascal Le Masson & Benoit Weil, 2021. "A model of creative heritage for industry: designing new rules while preserving the present system of rules [Un modèle de patrimoine de création pour l'industrie: concevoir de nouvelles règles dans," Post-Print hal-03406761, HAL.
    22. Fonseca Luis Miguel, 2018. "Industry 4.0 and the digital society: concepts, dimensions and envisioned benefits," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 386-397, May.
    23. Caroline Lloyd & Jonathan Payne, 2023. "Digital skills in context: Working with robots in lower-skilled jobs," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 44(4), pages 1084-1104, November.
    24. Mónica Santana & Mirta Díaz-Fernández, 2023. "Competencies for the artificial intelligence age: visualisation of the state of the art and future perspectives," Review of Managerial Science, Springer, vol. 17(6), pages 1971-2004, August.
    25. 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.

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