Boundaryless careers and algorithmic constraints in the gig economy

dc.contributor.authorDuggan, Jamesen
dc.contributor.authorSherman, Ultanen
dc.contributor.authorCarbery, Ronanen
dc.contributor.authorMcDonnell, Anthonyen
dc.date.accessioned2024-05-29T16:21:38Z
dc.date.available2024-05-29T16:21:38Z
dc.date.issued44406en
dc.description.abstractWith low barriers to entry and ease of access to work, the gig economy offers the prospect of boundaryless opportunities for flexible working arrangements characterised by increased autonomy. This form of work, however, may leave individuals without development opportunities and could stymie career progression. Drawing on boundaryless career theory, this study examines the potential of gig workers to develop the transferable career competencies required to effectively pursue opportunities beyond these precarious roles. Through insights from 56 gig worker interviews, we analyse the lived experiences of workers in attempting to develop ‘knowing-why’, ‘knowing-how’, and ‘knowing-whom’ competencies. In so doing, we find that the potentially unmovable boundaries posed by algorithmic management practices within platform organisations constrains workers’ abilities to navigate their roles and develop transferable competencies. The study lends empirical support to the bounded effect of gig work on individuals’ careers in a domain characterised by precarity where organisations dismiss the existence of an employment relationship, where individuals may simultaneously work for multiple platforms, and where secretive algorithms heavily influence the experience of work.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationDuggan, J., Sherman, U., Carbery, R. and McDonnell, A. (2021) 'Boundaryless careers and algorithmic constraints in the gig economy', The International Journal of Human Resource Management, 33(22), pp. 4468–4498. https://doi.org/10.1080/09585192.2021.1953565en
dc.identifier.doihttps://doi.org/10.1080/09585192.2021.1953565en
dc.identifier.eissn1466-4399en
dc.identifier.endpage4498en
dc.identifier.issn0958-5192en
dc.identifier.issued22en
dc.identifier.journaltitleThe International Journal of Human Resource Managementen
dc.identifier.startpage4468en
dc.identifier.urihttps://hdl.handle.net/10468/15957
dc.identifier.volume33en
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.rights© 2021, Informa UK Limited, trading as Taylor & Francis Group. This is an Accepted Manuscript of an item published by Taylor & Francis in The International Journal of Human Resource Management on 29 July 2021, available online: https://doi.org/10.1080/09585192.2021.1953565. It is deposited under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectGig economyen
dc.subjectApp-worken
dc.subjectAlgorithmic managementen
dc.subjectBoundaryless careersen
dc.subjectIntelligent career frameworken
dc.subjectCareer competenciesen
dc.titleBoundaryless careers and algorithmic constraints in the gig economyen
dc.typeArticle (peer-reviewed)en
oaire.citation.issue22en
oaire.citation.volume33en
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