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      Algorithmic Surveillance in the Gig Economy: The Organization of Work through Lefebvrian Conceived Space

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      Organization Studies
      SAGE Publications

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          Abstract

          Workplace surveillance is traditionally conceived of as a dyadic process, with an observer and an observee. In this paper, I discuss the implications of an emerging form of workplace surveillance: surveillance with an algorithmic, as opposed to human, observer. Situated within the on-demand food-delivery context, I draw upon Henri Lefebvre’s spatial triad to provide in-depth conceptual examination of how platforms rely on conceived space, namely the virtual reality generated by data capture, while neglecting perceived and lived space in the form of the material embodied reality of workers. This paper offers a two-fold contribution. First, it applies Henri Lefebvre’s spatial triad to the techno-centric digital cartography used by platform-mediated organisations, assessing spatial power dynamics and opportunities for resistance. Second, this paper advances organisational research into workplace surveillance in situations where the observer and decision-maker can be a non-human agent.

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          Most cited references99

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          Sociomaterial Practices: Exploring Technology at Work

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            Big other: surveillance capitalism and the prospects of an information civilization

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              The Black Box Society

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Organization Studies
                Organization Studies
                SAGE Publications
                0170-8406
                1741-3044
                May 2021
                July 09 2020
                May 2021
                : 42
                : 5
                : 719-737
                Affiliations
                [1 ]BI Norwegian Business School, Norway
                Article
                10.1177/0170840620937900
                9c75d0c1-6260-48ae-b845-4a8166f4473d
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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