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Algorithmisches Management jenseits der Plattformökonomie. Digitale Assistenzsysteme in Industrie und Logistik

In: Digitalisierung der Arbeitswelten. Zur Erfassbarkeit einer systemischen Transformation

Author

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  • de Paiva Lareiro, Patricia

Abstract

Digitale Technologien durchziehen immer stärker unseren privaten und beruflichen Alltag. Im beruflichen Alltag können sie Arbeits- und Lernprozesse unterstützen und strukturieren, der Qualitätskontrolle dienen oder zur Überwachung und Kontrolle von Arbeitsprozessen eingesetzt werden. Unter dem Begriff des algorithmischen Managements wurde der Einsatz digitaler Technologien zur Ausübung und Ausweitung von Kontrolle im Arbeitsprozess in den Bereichen der plattformbasierten Gig- und Crowdwork vielfach kritisch diskutiert. Dieser Beitrag befasst sich mit der Frage, wie sich algorithmisches Management jenseits der Plattformökonomie gestaltet. Anhand einer Metaanalyse aktueller Forschungsergebnisse zum Einsatz digitaler Assistenzsysteme in Industrie und Logistik wird dargestellt, welche Bedeutung algorithmisches Management in stärker regulierten innerbetrieblichen Kontexten im Rahmen der Kontrolle und Steuerung von Arbeit einnimmt.

Suggested Citation

  • de Paiva Lareiro, Patricia, 2024. "Algorithmisches Management jenseits der Plattformökonomie. Digitale Assistenzsysteme in Industrie und Logistik," EconStor Open Access Book Chapters, in: Digitalisierung der Arbeitswelten. Zur Erfassbarkeit einer systemischen Transformation, pages 269-286, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:eschap:312945
    DOI: 10.1007/978-3-658-44458-7_12
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    References listed on IDEAS

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    1. Alex J. Wood, 2021. "Algorithmic Management: Consequences for Work Organisation and Working Conditions," JRC Working Papers on Labour, Education and Technology 2021-07, Joint Research Centre.
    2. Gerber, Christine, 2020. "Crowdworker*innen zwischen Autonomie und Kontrolle. Die Stabilisierung von Arbeitsteilung durch algorithmisches Management," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 73(3), pages 182-192.
    3. Oscar Molina & Florian Butollo & Csaba Makó & Alejandro Godino & Ursula Holtgrewe & Anna Illsoe & Sander Junte & Trine Pernille Larsen & Miklós Illésy & Jószef Pap & Philip Wotschack, 2023. "It takes two to code: a comparative analysis of collective bargaining and artificial intelligence," Transfer: European Review of Labour and Research, , vol. 29(1), pages 87-104, February.
    4. Kuhlmann, Martin & Splett, Barbara & Wiegrefe, Sascha, 2018. "Montagearbeit 4.0 ? Eine Fallstudie zu Arbeitswirkungen und Gestaltungsperspektiven digitaler Werkerführung," WSI-Mitteilungen, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 71(3), pages 182-188.
    5. Baethge-Kinsky, Volker & Marquardsen, Kai & Tullius, Knut, 2018. "Perspektiven industrieller Instandhaltungsarbeit," WSI-Mitteilungen, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 71(3), pages 174-181.
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