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Blockchains und die Zukunft von Arbeit und Organisation: Technologische Mythen als Elemente eines umfassenden Wissensmanagements im digitalen Wandel

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  • Klüh, Ulrich
  • Hütten, Moritz
  • Kleinod, Sonja

Abstract

Für konkrete Veränderungen der Arbeitswelt haben Blockchains nur geringe Bedeutung. Die meisten Versprechungen der Technik wurden nicht erfüllt, auch wenn sich in den entstanden Arbeitswelten Formen guter digitaler Arbeit finden. Als Digitalisierungsmythos beeinflussen Blockchains aber arbeitspolitische Prozesse auf Mikro- und Makroebene. Im Verteilungskampf um Digitalisierungsgewinne und bei der Abwehr von Überwachungs- und Kontrollpraktiken kann es sinnvoll sein, den Mythos als "Instrument der Umwälzung" aufzufassen, eröffnet er doch Freiheitsgrade und ermöglicht Aufklärung über Aufklärung.

Suggested Citation

  • Klüh, Ulrich & Hütten, Moritz & Kleinod, Sonja, 2022. "Blockchains und die Zukunft von Arbeit und Organisation: Technologische Mythen als Elemente eines umfassenden Wissensmanagements im digitalen Wandel," Working Paper Forschungsförderung 245, Hans-Böckler-Stiftung, Düsseldorf.
  • Handle: RePEc:zbw:hbsfof:245
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    References listed on IDEAS

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    1. Nick Bernards & Malcolm Campbell‐Verduyn & Daivi Rodima‐Taylor & Jerome Duberry & Quinn DuPont & Andreas Dimmelmeier & Moritz Huetten & Laura C. Mahrenbach & Tony Porter & Bernhard Reinsberg, 2020. "Interrogating Technology‐led Experiments in Sustainability Governance," Global Policy, London School of Economics and Political Science, vol. 11(4), pages 523-531, September.
    2. De Filippi, Primavera & Loveluck, Benjamin, 2016. "The invisible politics of Bitcoin: governance crisis of a decentralised infrastructure," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 5(3), pages 1-28.
    3. 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.
    4. Martha S. Feldman & Wanda J. Orlikowski, 2011. "Theorizing Practice and Practicing Theory," Organization Science, INFORMS, vol. 22(5), pages 1240-1253, October.
    5. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    6. Czarniawska, Barbara, 2013. "On meshworks and other complications of portraying contemporary organizing," GRI-rapport 2013:3, University of Gothenburg, Gothenburg Research Institute GRI.
    7. Juho Lindman & Jamie Berryhill & Benjamin Welby & Mariane Piccinin-Barbieri, 2020. "The uncertain promise of blockchain for government," OECD Working Papers on Public Governance 43, OECD Publishing.
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    Keywords

    Arbeitnehmer; Mythologisierung; Digitalisierung; Umwälzung; Aufklärung;
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