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Algorithmic Surveillance in the Gig Economy

The Organization of Work through Lefebvrian Conceived Space

Bibliographic Data

ID19600585
AuthorsGemma Newlands (0000-0003-0851-384X, BI Norwegian Business School, corresponding author)
Year2020
Volume42
Issue5
Pages719-737
Publication date2020-06-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueOrganization Studies (JOURNAL)
Journal identifiersISSN: 0170-8406 • E-ISSN: 1741-3044
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0170840620937900
OpenAlexW3034749153
LanguageEN
Citations received127
References cited95

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

Data science · Embodied cognition · Epistemology · Geography · Knowledge management · Situated · Social science · Sociology · Computer Science · Digital Economy and Work Transformation · Artificial Intelligence

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Unique citing works127
Citations per year25,4
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 121

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