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Toward a Socioeconomic Company-Level Theory of Automation at Work

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  • Krzywdzinski, Martin

Abstract

The current understanding of automation is dominated by “routine-biased technological change” (RBTC). This theory predicts a strong automation dynamic in jobs with high routine-task share and a polarization of employment structures. While RBTC theory has many merits, this paper develops a systematic critique of the theory and a counter-proposal of a socioeconomically grounded company-level theory of the automation of work. It distinguishes between feasibility conditions of automation, technology choices, and social outcomes. With regard to feasibility conditions, the relevant factor is not routine-task intensity but the interaction between product architecture (product complexity) and process complexity. Which technology choices are made in this feasibility space is in turn influenced by companies’ profit strategies and power relations between management and labor. The social outcomes of automation depend on these technology choices, but also on managerial strategies pursued in the restructuring of organizational roles and skills. These managerial strategies are shaped by national institutional systems.

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  • Krzywdzinski, Martin, 2022. "Toward a Socioeconomic Company-Level Theory of Automation at Work," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1), pages 1-1.
    • Handle: RePEc:zbw:espost:267778
    DOI: 10.34669/WI.WJDS/2.1.5
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    References listed on IDEAS

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    1. Helbing, Dirk, 2009. "Managing Complexity in Socio-Economic Systems," European Review, Cambridge University Press, vol. 17(2), pages 423-438, May.
    2. C. Jeffrey Waddoups, 2016. "Did Employers in the United States Back Away from Skills Training during the Early 2000s?," ILR Review, Cornell University, ILR School, vol. 69(2), pages 405-434, March.
    3. Krzywdzinski, Martin & Jo, Hyung Je, 2022. "Skill formation, automation and governance: comparing German and Korean automotive manufacturers in Central-Eastern Europe," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 18(1), pages 115-136.
    4. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    5. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    6. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    7. Jacques Bélanger & Paul Edwards, 2007. "The Conditions Promoting Compromise in the Workplace," British Journal of Industrial Relations, London School of Economics, vol. 45(4), pages 713-734, December.
    8. Susan Helper & Rebecca Henderson, 2014. "Management Practices, Relational Contracts, and the Decline of General Motors," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 49-72, Winter.
    9. Robert J. Gordon, 2016. "Perspectives on The Rise and Fall of American Growth," American Economic Review, American Economic Association, vol. 106(5), pages 72-76, May.
    10. Zachary Parolin, 2019. "Automation and occupational wage trends," OECD Social, Employment and Migration Working Papers 228, OECD Publishing.
    11. Ulrich, Karl, 1995. "The role of product architecture in the manufacturing firm," Research Policy, Elsevier, vol. 24(3), pages 419-440, May.
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