IDEAS home Printed from https://ideas.repec.org/a/ist/iujspc/v0y2022i82p337-356.html
   My bibliography  Save this article

Digital Transformation and The Future of Work and Women: The Case of The European Union

Author

Listed:
  • Berrin Oktay Yilmaz

    (Istanbul University, Faculty of Political Sciences, Department of Political Sciences and Public Administration, Istanbul, Turkiye)

  • Adviye Damla Unlu

    (Istanbul University, Institute of Social Sciences, Istanbul, Turkiye)

Abstract

Digital transformation and technological advances are in the process of transforming work. This transformation is perceived both as a threat or an opportunity by workers, citizens, policymakers, and businesses. Whether and to what extent the digital transformation will qualitatively change labor markets and welfare states is intensely debated. When these topics are evaluated in terms of gender, how women are positioned in the labor market where new technologies occur becomes significant. This study examines the effects of digital transformation on women in the labor market in the European Union (EU) context. The research question of how digital transformation affects women in the context of the future of work will be examined within the framework of the discussions on gender and digital transformation in the labor market, use of technology, digital skills, and gender stereotyping in the labor market, artificial intelligence (AI), cyber violence, and care work.

Suggested Citation

  • Berrin Oktay Yilmaz & Adviye Damla Unlu, 2022. "Digital Transformation and The Future of Work and Women: The Case of The European Union," Journal of Social Policy Conferences, Istanbul University, Faculty of Economics, vol. 0(82), pages 337-356, June.
    • Handle: RePEc:ist:iujspc:v:0:y:2022:i:82:p:337-356
    DOI: 10.26650/jspc.2022.82.1073130
    as

    Download full text from publisher

    File URL: https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/F6AD875CDB8643C5ADA1F79C88ACCA7C
    Download Restriction: no
    File URL: https://iupress.istanbul.edu.tr/en/journal/jspc/article/digital-transformation-the-future-of-work-and-women-the-case-of-the-european-union
    Download Restriction: no
    File URL: https://libkey.io/10.26650/jspc.2022.82.1073130?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. 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.
    2. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    3. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
    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. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    2. Damioli, G. & Van Roy, V. & Vertesy, D. & Vivarelli, M., 2021. "May AI revolution be labour-friendly? Some micro evidence from the supply side," GLO Discussion Paper Series 823, Global Labor Organization (GLO).
    3. Kinga Hat & Gernot Stoeglehner, 2020. "Spatial Dimension of the Employment Market Exposition to Digitalisation—The Case of Austria," Sustainability, MDPI, vol. 12(5), pages 1-29, March.
    4. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. 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.
    6. Egana-delSol, Pablo & Bustelo, Monserrat & Ripani, Laura & Soler, Nicolas & Viollaz, Mariana, 2022. "Automation in Latin America: Are Women at Higher Risk of Losing Their Jobs?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "Will the AI revolution be labour-friendly? Some micro evidence from the supply side," MERIT Working Papers 2021-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    9. Innocenti, Stefania & Golin, Marta, 2022. "Human capital investment and perceived automation risks: Evidence from 16 countries," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 27-41.
    10. Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2021. "Labour-saving automation and occupational exposure: a text-similarity measure," DISCE - Quaderni del Dipartimento di Politica Economica dipe0021, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    11. Uma RANI & Damian GRIMSHAW, 2019. "Introduction: What does the future promise for work, employment and society?," International Labour Review, International Labour Organization, vol. 158(4), pages 577-592, December.
    12. Jacopo Staccioli & Maria Enrica Virgillito, 2020. "The present, past, and future of labor-saving technologies," DISCE - Quaderni del Dipartimento di Politica Economica dipe0013, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    13. László Czaller & Rikard H. Eriksson & Balázs Lengyel, 2021. "Reducing automation risk through career mobility: Where and for whom?," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1545-1569, December.
    14. Egana-delSol, Pablo & Cruz, Gabriel & Micco, Alejandro, 2022. "COVID-19 and automation in a developing economy: Evidence from Chile," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    15. 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.
    16. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2021. "Detecting the labour-friendly nature of AI product innovation," DISCE - Quaderni del Dipartimento di Politica Economica dipe0017, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    17. Lütkenhorst, Wilfried, 2018. "Creating wealth without labour? Emerging contours of a new techno-economic landscape," IDOS Discussion Papers 11/2018, German Institute of Development and Sustainability (IDOS).
    18. Cristiano CODAGNONE & Giovanni LIVA & Egidijus BARCEVICIUS & Gianluca MISURACA & Luka KLIMAVICIUTE & Michele BENEDETTI & Irene VANINI & Giancarlo VECCHI & Emily RYEN GLOINSON & Katherine STEWART & Sti, 2020. "Assessing the impacts of digital government transformation in the EU: Conceptual framework and empirical case studies," JRC Research Reports JRC120865, Joint Research Centre.
    19. Sandra M. Leitner & Robert Stehrer, 2019. "The Automatisation Challenge Meets the Demographic Challenge: In Need of Higher Productivity Growth," wiiw Working Papers 171, The Vienna Institute for International Economic Studies, wiiw.
    20. Santana, Monica & Cobo, Manuel J., 2020. "What is the future of work? A science mapping analysis," European Management Journal, Elsevier, vol. 38(6), pages 846-862.

    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:ist:iujspc:v:0:y:2022:i:82:p:337-356. 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: Ertugrul YASAR (email available below). General contact details of provider: https://edirc.repec.org/data/ifisttr.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.