Algorithmic Surveillance in the Gig Economy: The Organization of Work through Lefebvrian Conceived Space
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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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Since all the interactions are digitally mediated, gig workers can outsource their own tasks to a friend or a family with little risk of clients' awareness and complete more tasks than they can on their own.
“Since all the interactions are digitally mediated, gig workers can also outsource their own tasks to a friend or a family with little risk of clients' awareness and complete more tasks than they can on their own (Newlands, 2021).”
From Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review: An Annual Review of Information Science and Technology (ARIST) paper (2024) · cites this paper as Newlands, 2021
The Data doubles section says a rider could outsource a shift to a friend with little risk of organisational awareness because surveillance relies on device data. It does not say clients would be unaware, that a family member could take the shift, or that outsourcing would let the rider complete more tasks. The Introduction also describes face-to-face interactions with customers, so the premise that all interactions are digitally mediated is not supported. (LLM, conf=0.88)
Experimental — accuracy not yet measuredPotentially relevant information generated during the work, such as poor client behavior, may be invisible to the platform, placing the gig worker at a disadvantage when receiving an undeserved negative review.
“It is also the case that potentially relevant information generated during the work, such as poor client behavior, may be invisible to the platform, placing the gig worker at a disadvantage when, for example, receiving an undeserved negative review (Newlands, 2021).”
From Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review: An Annual Review of Information Science and Technology (ARIST) paper (2024) · cites this paper as Newlands, 2021
The Introduction (page not provided) says workers may face disdain from customers and that such details, though relevant to managerial decisions, are invisible to organisations. The Customer surveillance section (page not provided) discusses ratings and reviews, but does not link poor client behaviour or that invisibility to an undeserved negative review. (LLM, conf=0.86)
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References 120 · Cited by 439
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- Authors
- Newlands, G.
- Affiliations
- BI Norwegian Business School (NO)
- Corresponding author
- Newlands, Gemma
- ORCID
- Newlands, Gemma
- Venue
- Organization Studies
- Publisher
- SAGE Publications
- Published
- 2020-07-09
- Volume
- 42
- Issue
- 5
- Pages
- 719-737
- ISSN
- 0170-8406 (ISSN-L)
- 1741-3044
- OpenAlex
- W3034749153
- Cited by
- 439
- References
- 120
- Citations by year
- 2026: 115 · 2025: 98 · 2024: 88 · 2023: 64 · 2022: 47 · 2021: 26 · 2020: 1
- FWCI
- 46.15
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Organization Studies (publishedVersion, cc-by)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- Funders
- Norges Forskningsråd (247725/O7, 275347)
- Topics
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- algorithmic surveillance, gig economy, workplace surveillance, Henri Lefebvre, spatial triad, on-demand food delivery, platform work, spatial power, employee resistance, digital cartography
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