Tensions in algorithmic HRM: worker voice and organizational silencing in app-based platform work

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dc.contributor.authorDuggan, James
dc.contributor.authorDasgupta, Prakriti
dc.contributor.authorMcDonnell, Anthony
dc.contributor.authorCarbery, Ronan
dc.contributor.authorSherman, Ultan
dc.contributor.funderIrish Research Council
dc.date.accessioned2026-08-13T12:56:01Z
dc.date.available2026-08-13T12:56:01Z
dc.date.issued2026-07-16
dc.description© 2026, The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an open access article distributed under the terms of the creative commons attribution-noncommercial-noDerivatives license (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the accepted manuscript in a repository by the author(s) or with their consent.
dc.description.abstractThe use of algorithms to manage human resources represents one of the most significant recent developments in HRM research and practice. While harboring the potential to facilitate more efficient and accurate HR processes, the emergence of algorithmic HRM raises concerns for workers operating under advanced, data-driven systems. This is particularly salient in labor markets within the gig economy, where localized, app-based forms of platform work are prevalent. In this paper, we adopt a qualitative research design to examine how platform workers in the food-delivery sector experience the dynamic, control-based features of algorithmic HRM. Drawing on the concept of algorithmic HRM control and the worker voice and silence literatures, we explore how these algorithmic systems can foster ‘enforced silence’ and a sense of voicelessness amongst workers, inhibiting their ability to express concerns, contest decisions, and/or participate in shaping their work environment. Crucially, and a key contribution of the paper, is the role that non-organizational actors play in either compounding and/or mitigating this silence. Experiences of frustration, disillusionment, cynicism, and detachment emerge as workers navigate the constraints of algorithmic HRM. In some cases, workers may resort to adopting informal and individual coping mechanisms to endure and reclaim aspects of their autonomy. en
dc.description.sponsorshipIrish Research Council|GOIPG/2018/2196
dc.format.extent34
dc.format.extent2080232
dc.identifier.authororcidDuggan, James§0000-0002-1928-4723
dc.identifier.authororcidDasgupta, Prakriti
dc.identifier.authororcidMcDonnell, Anthony§0000-0002-9127-2452
dc.identifier.authororcidCarbery, Ronan§0000-0001-8836-2038
dc.identifier.authororcidSherman, Ultan§0000-0002-2639-746X
dc.identifier.citationDuggan, J, Dasgupta, P, McDonnell, A, Carbery, R & Sherman, U 2026, 'Tensions in algorithmic HRM: worker voice and organizational silencing in app-based platform work', International Journal of Human Resource Management, vol. 37, no. 8, pp. 1432-1465. https://doi.org/10.1080/09585192.2026.2699267
dc.identifier.doi10.1080/09585192.2026.2699267
dc.identifier.endpage1465
dc.identifier.issn0958-5192
dc.identifier.issued8
dc.identifier.journaltitleInternational Journal of Human Resource Management
dc.identifier.otherORCID: /0000-0001-8836-2038/work/223690912
dc.identifier.otherORCID: /0000-0002-9127-2452/work/223691777
dc.identifier.otherORCID: /0000-0002-1928-4723/work/223691783
dc.identifier.startpage1432
dc.identifier.urihttps://hdl.handle.net/10468/19118
dc.identifier.urlhttps://www.scopus.com/pages/publications/105044763587
dc.identifier.volume37
dc.language.isoeng
dc.rightscc_by_nc_nd
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.subjectAlgorithmic HRM
dc.subjectApp-work
dc.subjectGig economy
dc.subjectHRM control
dc.subjectPlatform organizations
dc.subjectWorker silence
dc.subject[CUBS]
dc.subject[Business]
dc.subjectStrategy and Management
dc.subjectOrganizational Behavior and Human Resource Management
dc.subjectManagement of Technology and Innovation
dc.titleTensions in algorithmic HRM: worker voice and organizational silencing in app-based platform worken
dc.typeArticle (Peer reviewed)
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