IDEAS home Printed from https://ideas.repec.org/a/vrs/ijcoma/v60y2024i1p185-200n1013.html
   My bibliography  Save this article

How do employees in the Polish financial sector react to automation in their workplace?

Author

Listed:
  • Włoch Renata

    (Faculty of Sociology & Digital Economy Lab, University of Warsaw, Warsaw, Poland)

  • Śledziewska Katarzyna

    (Faculty of Economic Sciences & Digital Economy Lab, University of Warsaw, Warsaw, Poland)

  • Rożynek Satia

    (Faculty of Economic Sciences & Digital Economy Lab, University of Warsaw, Warsaw, Poland)

Abstract

Banks and other financial institutions are at the forefront of digital transformation, driven by artificial intelligence technologies and accelerated by the COVID-19 pandemic. This study aims to better understand automation within Poland’s financial sector by identifying factors that influence automation levels and future expectations and by examining how the pace of automation changed during the pandemic. We analyzed data from 172 questionnaires collected from employees in the Polish financial sector in October and November 2020, along with insights on digitization from prior interviews with bank CEOs and managers. Our findings show that age, education, and firm characteristics relate to automation experience and that this experience influences employees’ views on future automation. Hence, it emphasizes the importance of demographic factors, workplace environment, and technological infrastructure in shaping experiences and expectations of automation, preparing the groundwork for future policies to manage the evolving work landscape amid technological advancements. The study improves our understanding of employees’ attitudes toward digital transformation and helps tackle the organizational roots of technological unemployment.

Suggested Citation

  • Włoch Renata & Śledziewska Katarzyna & Rożynek Satia, 2024. "How do employees in the Polish financial sector react to automation in their workplace?," International Journal of Contemporary Management, Sciendo, vol. 60(1), pages 185-200.
  • Handle: RePEc:vrs:ijcoma:v:60:y:2024:i:1:p:185-200:n:1013
    DOI: 10.2478/ijcm-2024-0010
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ijcm-2024-0010
    Download Restriction: no

    File URL: https://libkey.io/10.2478/ijcm-2024-0010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Arntz, Melanie & Blesse, Sebastian & Doerrenberg, Philipp, 2022. "The end of work is near, isn't it? Survey evidence on automation angst," ZEW Discussion Papers 22-036, ZEW - Leibniz Centre for European Economic Research.
    2. Daron Acemoglu & Pascual Restrepo, 2020. "Unpacking Skill Bias: Automation and New Tasks," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 356-361, May.
    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. Nenci, Silvia & Fusacchia, Ilaria & Giunta, Anna & Montalbano, Pierluigi & Pietrobelli, Carlo, 2022. "Mapping global value chain participation and positioning in agriculture and food: stylised facts, empirical evidence and critical issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 11(2), July.
    2. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    3. Azio Barani, 2021. "Innovazione tecnologica e lavoro: automazione, occupazione e impatti socio-economici," QUADERNI DI ECONOMIA DEL LAVORO, FrancoAngeli Editore, vol. 0(114), pages 51-79.
    4. Attila Lindner & Balazs Murakozy & Balazs Reizer & Ragnhild Schreiner, 2022. "Firm-level technological change and skill demand," CEP Discussion Papers dp1857, Centre for Economic Performance, LSE.
    5. Claudia Fontanari & Antonella Palumbo, 2023. "Permanent scars: The effects of wages on productivity," Metroeconomica, Wiley Blackwell, vol. 74(2), pages 351-389, May.
    6. Ross, Andrew G. & McGregor, Peter G. & Swales, J Kim, 2024. "Labour market dynamics in the era of technological advancements: The system-wide impacts of labour augmenting technological change," Technology in Society, Elsevier, vol. 77(C).
    7. Toon Van Overbeke, 2023. "Conflict or cooperation? Exploring the relationship between cooperative institutions and robotisation," British Journal of Industrial Relations, London School of Economics, vol. 61(3), pages 550-573, September.
    8. Wang, Ting & Zhang, Yi & Liu, Chun, 2024. "Robot adoption and employment adjustment: Firm-level evidence from China," China Economic Review, Elsevier, vol. 84(C).
    9. Ryosuke Shimizu & Shohei Momoda, 2020. "Does Automation Technology increase Wage?," KIER Working Papers 1039, Kyoto University, Institute of Economic Research.
    10. Rude, Johanna, 2024. "Demographic Change, Automation and the Role of Education," MPRA Paper 120876, University Library of Munich, Germany.
    11. Raja Bentaouet Kattan & Kevin Macdonald & Harry Anthony Patrinos, 2021. "The Role of Education in Mitigating Automation’s Effect on Wage Inequality," LABOUR, CEIS, vol. 35(1), pages 79-104, March.
    12. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
    13. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    14. Christian Gunadi & Hanbyul Ryu, 2021. "Does the rise of robotic technology make people healthier?," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2047-2062, September.
    15. Pelin Ozgul & Marie-Christine Fregin & Michael Stops & Simon Janssen & Mark Levels, 2024. "High-skilled Human Workers in Non-Routine Jobs are Susceptible to AI Automation but Wage Benefits Differ between Occupations," Papers 2404.06472, arXiv.org.
    16. Melek Cil & Yildiz Yilmaz Guzey, 2024. "Technology and gender: Understanding the changing dynamics of female unemployment in the G7 countries," Journal of New Economy, Ural State University of Economics, vol. 25(1), pages 26-49, April.
    17. Ryosuke Shimizu & Shohei Momoda, 2021. "Does Automation Technology increase Wage?," Discussion papers ron343, Policy Research Institute, Ministry of Finance Japan.
    18. Freeman, Richard B. & Yang, Buyuan & Zhang, Baitao, 2023. "Data deepening and nonbalanced economic growth," Journal of Macroeconomics, Elsevier, vol. 75(C).
    19. Shimizu, Ryosuke & Momoda, Shohei, 2023. "Does automation technology increase wage?," Journal of Macroeconomics, Elsevier, vol. 77(C).

    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:vrs:ijcoma:v:60:y:2024:i:1:p:185-200:n:1013. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.