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The Impact of Sustainable Transition of Automation on Employees in the Automotive Sector and the Influence of Corona Pandemic

Author

Listed:
  • Nicoleta ISAC

    (Istanbul Sabahattin Zaim University, Turkey)

  • Cosmin DOBRIN

    (Bucharest University of Economic Studies)

  • Waqar BADSHAH

    (Istanbul Sabahattin Zaim University, Turkey)

Abstract

The automotive sector have been hit hard by the corona pandemic and the future is showing that will be a shift towards automation. Automation is not a new phenomenon, and for years, robots have had an increasing role in automobile manufacturing and differs across sectors and activities. According to the sustainability trends, due to automation, business and future of work will be transformed. While automation will completely eliminate very few jobs over the next decade, it will affect portions of almost all jobs to a greater or lesser degree, depending on the type of work involved. The aim of this paper is to analyze the trend of automation in automotive sector and to see the impact of corona pandemic on employees.

Suggested Citation

  • Nicoleta ISAC & Cosmin DOBRIN & Waqar BADSHAH, 2020. "The Impact of Sustainable Transition of Automation on Employees in the Automotive Sector and the Influence of Corona Pandemic," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 21(4), pages 429-436, October.
  • Handle: RePEc:rom:rmcimn:v:21:y:2020:i:4:p:429-436
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    References listed on IDEAS

    as
    1. Francesco Chiacchio & Georgios Petropoulos & David Pichler, 2018. "The impact of industrial robots on EU employment and wages- A local labour market approach," Working Papers 25186, Bruegel.
    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. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    4. James Bessen, 2018. "AI and Jobs: the role of demand," NBER Working Papers 24235, National Bureau of Economic Research, Inc.
    5. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    automation; robots; automotive; employees; corona pandemic.;
    All these keywords.

    JEL classification:

    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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