IDEAS home Printed from https://ideas.repec.org/a/rom/rmcimn/v21y2020i4p429-436.html

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
    as

    Download full text from publisher

    File URL: https://www.rmci.ase.ro/no21vol4/01.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Georgios Petropoulos & David Pichler & Francesco Chiacchio, 2018. "The impact of industrial robots on EU employment and wages- A local labour market approach," Bruegel 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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Colombo, Emilio & Mercorio, Fabio & Mezzanzanica, Mario, 2019. "AI meets labor market: Exploring the link between automation and skills," Information Economics and Policy, Elsevier, vol. 47(C), pages 27-37.
    2. Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019. "Testing the employment and skill impact of new technologies: A survey and some methodological issues," MERIT Working Papers 2019-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Mutascu, Mihai, 2021. "Artificial intelligence and unemployment: New insights," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 653-667.
    4. Maria-Chiara Morandini & Anna Thum-Thysen & Anneleen Vandeplas, 2020. "Facing the Digital Transformation: Are Digital Skills Enough?," European Economy - Economic Briefs 054, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    5. Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-007.
    6. Heyman, Fredrik & Olsson, Martin, 2022. "Long-Run Effects of Technological Change: The Impact of Automation and on Intergenerational Mobility," Working Paper Series 1451, Research Institute of Industrial Economics, revised 12 Dec 2025.
    7. Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    8. Alejandro Micco, 2019. "The Impact of Automation in Developed Countries," Working Papers wp480, University of Chile, Department of Economics.
    9. He, Chao & Zhou, Zhongsheng & Jian, Fangfang & Qiu, Yuhan, 2025. "Robots and cost of equity: Evidence from China," China Economic Review, Elsevier, vol. 94(PB).
    10. Hidalgo, Camila & Micco, Alejandro, 2024. "Computerization, offshoring and trade: The effect on developing countries," World Development, Elsevier, vol. 180(C).
    11. Fran Stewart & Kathryn Kelley, 2020. "Connecting Hands and Heads: Retooling Engineering Technology for the “Smart†Manufacturing Workplace," Economic Development Quarterly, , vol. 34(1), pages 31-45, February.
    12. Ping Chen & Jiawei Gao & Zheng Ji & Han Liang & Yu Peng, 2022. "Do Artificial Intelligence Applications Affect Carbon Emission Performance?—Evidence from Panel Data Analysis of Chinese Cities," Energies, MDPI, vol. 15(15), pages 1-16, August.
    13. Matthias Firgo & Peter Mayerhofer & Michael Peneder & Philipp Piribauer & Peter Reschenhofer, 2018. "Beschäftigungseffekte der Digitalisierung in den Bundesländern sowie in Stadt und Land," WIFO Studies, WIFO, number 61633.
    14. Ünveren, Burak & Durmaz, Tunç & Sunal, Seçkin, 2023. "AI revolution and coordination failure: Theory and evidence," Journal of Macroeconomics, Elsevier, vol. 78(C).
    15. Cheng, Can & Luo, Jiayu & Zhu, Chun & Zhang, Shangfeng, 2024. "Artificial intelligence and the skill premium: A numerical analysis of theoretical models," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    16. Tianren Li & Yao Hu & Jiachao Peng & Fushun Zhang, 2026. "Artificial intelligence, greening of occupational structure and total factor energy efficiency," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-16, December.
    17. Frigon, Anthony & Storper, Michael, 2026. "Going separate ways: spatial sorting by education, work, and real income in the USA since 1970," LSE Research Online Documents on Economics 140478, London School of Economics and Political Science, LSE Library.
    18. Magazzino, Cosimo & Mele, Marco & Mutascu, Mihai, 2025. "An artificial neural network experiment on the prediction of the unemployment rate," Journal of Policy Modeling, Elsevier, vol. 47(3), pages 471-491.
    19. Egana del Sol, Pablo, 2020. "The Future of Work in Developing Economies: What can we learn from the South?," GLO Discussion Paper Series 483, Global Labor Organization (GLO).
    20. Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rom:rmcimn:v:21:y:2020:i:4:p:429-436. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marian Nastase The email address of this maintainer does not seem to be valid anymore. Please ask Marian Nastase to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.