Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/71401

Unlocking Perceived Algorithmic Autonomy-Support: Scale Development and Validation

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Title:Unlocking Perceived Algorithmic Autonomy-Support: Scale Development and Validation
Authors:Jabagi, Nura
Croteau, Anne-Marie
Audebrand, Luc
Marsan, Josianne
Keywords:Social-Technical Issues in Organizational Information Technologies
autonomy
digital labor platforms
gig-economy
instrument development
show 1 moresocio-technical systems
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Date Issued:05 Jan 2021
Abstract:Platform workers’ autonomy and agency are recurring themes in the study of the gig-economy where narratives purporting workers’ autonomy and empowerment conflict with those alleging the control and marginalization of workers. While it has been said that promoting workers’ agency can threaten the valuation of platform-based companies, the benefits of supporting workers’ autonomy in traditional organizations are well-established. To understand such inconsistencies, it is necessary to measure perceptions of autonomy-support; yet, no validated instruments exist that can be used to measure workers’ perceptions of algorithmic autonomy-support. To address this gap, we draw on the Theory of Self-Determination to reconceptualize the notion of autonomy-support for the techno-organizational phenomenon of algorithmically managed platform work. In doing so, we introduce a new construct, namely: Perceived Algorithmic Autonomy Support (PAAS). In this work-in-progress paper, we describe our current work in developing and validating a theoretically-based measure for PAAS. Preliminary results are provided.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/71401
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.781
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Social-Technical Issues in Organizational Information Technologies


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