Publication Date
1-1-2023
Document Type
Article
Publication Title
Journal of Management Studies
Volume
60
Issue
1
DOI
10.1111/joms.12870
First Page
1
Last Page
37
Abstract
On online labour platforms, algorithmic scores are used as indicators of freelancers' work quality and future performance. Recent studies underscore that, to achieve good scores and secure their presence on platforms, freelancers respond to algorithmic control in different ways. However, we argue, to fully understand how freelancers deal with algorithmic scores, we first need to investigate how they interpret scores and, more specifically, what scores can do for them, i.e., perceived algorithmic affordances and constraints. Our interviews and other qualitative data collected with knowledge intensive gig workers on a major platform allow us to explain how the perceived affordances of algorithms (i.e., barrier, individual visibility, self-extension, rule of the game) act as mechanisms that explain different behavioural and emotional responses over time. Our work contributes to the current debate on the positive and negative consequences of algorithmic work by portraying the fundamental role paid by the individual interpretation of algorithmic scores and by integrating the affordance perspective into our understanding of algorithmic work.
Funding Sponsor
Università Degli Studi di Modena e Reggio Emila
Keywords
algorithm, algorithmic management, freelancers, gig work, online labour platforms, technology affordances
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Department
Management
Recommended Citation
Francesca Bellesia, Elisa Mattarelli, and Fabiola Bertolotti. "Algorithms and their Affordances: How Crowdworkers Manage Algorithmic Scores in Online Labour Markets" Journal of Management Studies (2023): 1-37. https://doi.org/10.1111/joms.12870
Comments
This is the Version of Record and can also be read online here.