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Changes in productivity and labour relations

Author

Listed:
  • António Moniz

    (FCT NOVA - Faculdade de Ciências e Tecnologia = School of Science & Technology - NOVA - Universidade Nova de Lisboa = NOVA University Lisbon, NOVA - Universidade Nova de Lisboa = NOVA University Lisbon)

  • Marta Candeias

    (CICS.NOVA - Interdisciplinary Centre of Social Sciences, New University of Lisbon, NOVA - Universidade Nova de Lisboa = NOVA University Lisbon)

  • Nuno Boavida

    (CICS.NOVA - Interdisciplinary Centre of Social Sciences, New University of Lisbon, NOVA - Universidade Nova de Lisboa = NOVA University Lisbon)

Abstract

New technologies, sustainability policies, protectionism and consumers preferences are pushing for the reorganisation of the automotive cluster. The emergence of artificial intelligence (AI) has the potential to create disruptive effects in the employment systems across the world. The future deployment of broad-spectrum algorithms capable of being used in wide areas of application (e.g., industrial robotics, software and data communication) can lead to considerable changes in current work patterns, swiftly render many unemployed across the globe and profoundly destabilise labour relations. In this paper, we identify the probable penetration of AI in the automotive sector and to study its effects on work organisation, employment, and industrial relations systems, in Portugal. These changes are put in place to enhance the product quality, control costs, and improve productivity. We study these implications on productivity and industrial relations collecting new data and obtain results based on secondary statistical analyses and case studies in the automotive industry. Finally, changes in the productivity and labour market will be discussed considering the employment and skills changes in the automotive sector when investment on automation becomes a clear trend in the automotive sector.

Suggested Citation

  • António Moniz & Marta Candeias & Nuno Boavida, 2022. "Changes in productivity and labour relations," Post-Print hal-04670873, HAL.
  • Handle: RePEc:hal:journl:hal-04670873
    DOI: 10.1504/IJATM.2022.124366
    Note: View the original document on HAL open archive server: https://hal.science/hal-04670873
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    References listed on IDEAS

    as
    1. António B. Moniz & Bettina-Johanna Krings, 2016. "Robots Working with Humans or Humans Working with Robots? Searching for Social Dimensions in New Human-Robot Interaction in Industry," Societies, MDPI, vol. 6(3), pages 1-21, August.
    2. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    3. Philipp Frey, 2021. "Visions of Automation: A Comparative Discussion of Two Approaches," Societies, MDPI, vol. 11(2), pages 1-21, June.
    4. Geels, Frank W. & Kern, Florian & Fuchs, Gerhard & Hinderer, Nele & Kungl, Gregor & Mylan, Josephine & Neukirch, Mario & Wassermann, Sandra, 2016. "The enactment of socio-technical transition pathways: A reformulated typology and a comparative multi-level analysis of the German and UK low-carbon electricity transitions (1990–2014)," Research Policy, Elsevier, vol. 45(4), pages 896-913.
    5. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    6. Hind Bril El-Haouzi & Etienne Valette & Bettina-Johanna Krings & António Brandão Moniz, 2021. "Social Dimensions in CPS & IoT Based Automated Production Systems," Societies, MDPI, vol. 11(3), pages 1-15, August.
    7. 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.
    8. Lene Pettersen, 2019. "Why Artificial Intelligence Will Not Outsmart Complex Knowledge Work," Work, Employment & Society, British Sociological Association, vol. 33(6), pages 1058-1067, December.
    9. Antonio Brandao Moniz, Bettina-Johanna Krings, Geert Van Hootegem, Rik Huys, 2002. "Technological practices in the European auto industry: exploring cases from Belgium, Germany and Portugal," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 2(1), pages 84-100.
    10. Nuno Boavida & Marta Candeias, 2021. "Recent Automation Trends in Portugal: Implications on Industrial Productivity and Employment in Automotive Sector," Societies, MDPI, vol. 11(3), pages 1-16, August.
    11. Greigory Mordue & Brendan Sweeney, 2017. "The commoditisation of automotive assembly: Canada as a cautionary tale," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 17(2), pages 169-189.
    12. Greig Mordue, 2020. "Shifting patterns in the application of industrial policy," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 20(1), pages 50-75.
    13. David Autor, 2014. "Polanyi's Paradox and the Shape of Employment Growth," NBER Working Papers 20485, National Bureau of Economic Research, Inc.
    14. Machado, Tiago & Moniz, António, 2003. "Assembling Toyota in Portugal," MPRA Paper 5881, University Library of Munich, Germany, revised Apr 2003.
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