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Paper Type
ERF
Abstract
In this Emergent Research Forum (ERF) paper, we introduce our in-process research about the impact of algorithmic management (AM) on digital labour platform workers. Drawing on Self-determination Theory, we hypothesize that AM diminishes workers’ satisfaction with basic psychological needs (autonomy, competence, and relatedness) and that such satisfaction is positively associated with workers' autonomous motivation and negatively associated with their controlled motivation. Further, we posit that autonomously motivated workers show more organization-like behaviours and controlled-motivated workers show more market-like behaviours. In addition, we hypothesize the moderating effect of workers' perceived objective task complexity on the impact of the two kinds of motivations on workers' behaviours. We also hypothesize the difference in basic need satisfaction between those working on high task-complexity platforms and those working on low task-complexity platforms. Plus, we introduce our intended research methods, including data collection and analysis methods in this paper.
Paper Number
1486
Recommended Citation
Xu, Ji and Grant, Gerald G., "The Impact of Algorithmic Management on Digital Platform Workers and Their Responses" (2024). AMCIS 2024 Proceedings. 10.
https://aisel.aisnet.org/amcis2024/fow/fow/10
The Impact of Algorithmic Management on Digital Platform Workers and Their Responses
In this Emergent Research Forum (ERF) paper, we introduce our in-process research about the impact of algorithmic management (AM) on digital labour platform workers. Drawing on Self-determination Theory, we hypothesize that AM diminishes workers’ satisfaction with basic psychological needs (autonomy, competence, and relatedness) and that such satisfaction is positively associated with workers' autonomous motivation and negatively associated with their controlled motivation. Further, we posit that autonomously motivated workers show more organization-like behaviours and controlled-motivated workers show more market-like behaviours. In addition, we hypothesize the moderating effect of workers' perceived objective task complexity on the impact of the two kinds of motivations on workers' behaviours. We also hypothesize the difference in basic need satisfaction between those working on high task-complexity platforms and those working on low task-complexity platforms. Plus, we introduce our intended research methods, including data collection and analysis methods in this paper.
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