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John Rooksby
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Articles (7)
Year:
2026
Year:
2026
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Online freelancing platforms, such as Upwork, hold great promise in enabling flexible work opportunities where freelancers can combine their work with other life responsibilities, hereafter work-life. However, prior research suggests that platform features and self-managing demands of freelance work can jeopardise this apparent flexibility. In this paper, we report findings from a qualitative study, combining a 14-diary and semi-structured interview with 15 Upwork freelancers. We explored online freelancers' work practices, challenges, and the impact of platform features on their everyday lives. Our qualitative data suggest that platform features and individual context shape online freelancers' work-life practices. Freelancers develop strategies to mitigate platforms' constraints and balance their individual preferences and responsibilities. Further, our findings illustrate how platform features challenge freelancers' availability expectations, work autonomy, and work detachment. This paper contributes an empirical understanding of the factors influencing online freelancers' work-life practices by drawing upon Wanda J. Orlikowski's Structuration Model of Technology. This theoretical lens renders the interplay of freelancers, platforms, and instituted norms of freelance work.
Year:
2023
Collaborators (14)
Joan Condell
Prof at Ulster University
University of Ulster
Joseph Newbold
Northumbria University
Robert Horne
Lecturer
University of Kent
Kate Hunt
Professor in Behavioural Sciences and Health
University of Stirling
Daniel Harrison
Northumbria University
Alex Casson
The University of Manchester
Blair Biggar
Lecturer & Research Associate
University of Glasgow
Mahdi Saleh
The University of Manchester
gerda reith
University of Glasgow
Faith Matcham
Associate Profesor of Clinical Psychology
King’s College London
Aula Alwattar-MRSC, FHEA
Researcher
The University of Manchester
Zixin Wang
Ellison Institute of Technology
Nicola Greenlaw
Lead Biostatistician
University of Glasgow
Chee Siang Ang
University of Kent
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