IDEAS home Printed from https://ideas.repec.org/a/zbw/wzbmtn/327800.html
   My bibliography  Save this article

Unterstützen, optimieren, überwachen: Fragen an die Digitalisierung der Modeindustrie

Author

Listed:
  • Ferdinand, Jonas
  • Yosefov, Or

Abstract

Wearables sind elektronische und mobile Geräte oder Computer mit drahtloser Kommunikationsfähigkeit, die in der Arbeitswelt vermehrt zum Einsatz kommen. Sie können am menschlichen Körper getragen werden und bieten viele Vorteile – zum Beispiel bessere Ergonomie beim Arbeiten oder Hilfe bei der Leistungssteigerung. Allerdings stehen sie auch in der Kritik, unter anderem wegen Bedenken beim Datenschutz, insbesondere bei neuen Produktgruppen, die Wearables mit Mode verknüpfen.

Suggested Citation

  • Ferdinand, Jonas & Yosefov, Or, 2022. "Unterstützen, optimieren, überwachen: Fragen an die Digitalisierung der Modeindustrie," WZB-Mitteilungen: Quartalsheft für Sozialforschung, WZB Berlin Social Science Center, issue 178 (4/22, pages 58-61.
  • Handle: RePEc:zbw:wzbmtn:327800
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/327800/1/f-25180_repo.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krzywdzinski, Martin & Pfeiffer, Sabine & Evers, Maren & Gerber, Christine, 2022. "Measuring work and workers: Wearables and digital assistance systems in manufacturing and logistics," Discussion Papers, Research Group Globalization, Work, and Production SP III 2022-301, WZB Berlin Social Science Center.
    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. Jenna E. Myers, 2024. "Triadic Technology Configuration: A Relational Perspective on Technologists’ Role in Shaping Cloud-Based Technologies," ILR Review, Cornell University, ILR School, vol. 77(3), pages 307-335, May.
    2. Mollen, Anne & Hondrich, Lukas, 2023. "From risk mitigation to employee action along the machine learning pipeline: A paradigm shift in European regulatory perspectives on automated decision-making systems in the workplace," Working Paper Forschungsförderung 278, Hans-Böckler-Stiftung, Düsseldorf.
    3. Krzywdzinski, Martin & Evers, Maren & Gerber, Christine, 2024. "Control and Flexibility: The Use of Wearable Devices in Capital- and Labor-Intensive Work Processes," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 77(4), pages 506-534.

    More about this item

    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:zbw:wzbmtn:327800. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/wzbbbde.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.