Projects per year
Abstract
Spatiotemporality has never been so prominent in the gig economy, where the mantra is to harness individual persons’ “spare time” across large geographical areas to create economic value with scale. The time-sensitive nature of food delivery service and the spatial distribution of a large number of delivery workers require intensive algorithmic coordination and control. In this paper, we report findings from a qualitative study conducted in Beijing with food-delivery platform workers and managers. By taking a critical, sociomaterial perspective, the study shows how the workers are tethered to and simultaneously co-construct multiple spatiotemporalities in their daily work to meet the demand of speed defined by platform algorithms. We further argue that the algorithms are not creating so-called “atomized” workers in the gig economy, but interconnected and co-dependent collective agencies in space and time.
Original language | English |
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Title of host publication | Proceedings of the European Conference on Information Systems (ECIS 2020) |
Publication status | E-pub ahead of print - 13 May 2020 |
Projects
- 1 Finished
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Freedom and Algorithmic Control in Gig Economy: A Study of Chinese Food-Delivery Workers
1/08/18 → 1/08/20
Project: Research