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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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    References listed on IDEAS

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    2. Steven D. Levitt & John A. List & Chad Syverson, 2013. "Toward an Understanding of Learning by Doing: Evidence from an Automobile Assembly Plant," Journal of Political Economy, University of Chicago Press, vol. 121(4), pages 643-681.
    3. Nye, David E., 2013. "America's Assembly Line," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262018715, December.
    4. Steven Levitt & John List & Chad Syverson, 2012. "Toward an Understanding of Learning by Doing: Evidence from an Automobile Plant," Natural Field Experiments 00463, The Field Experiments Website.
    5. Kaivo-oja, Jari & Roth, Steffen, 2015. "The Technological Future of Work and Robotics," EconStor Preprints 118693, ZBW - Leibniz Information Centre for Economics.
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