Abstract
The ‘gig economy’ encompasses a wide range of jobs, platforms and workers. In this article, we provide the first quantitative evidence in support of the model of job quality developed by Wood et al. that predicts divergence across local and remote platform work. Specifically, we find that remote platform work entails significantly better pay, more flexibility, greater influence over how to do the job, a greater sense of doing useful work, better health and safety, less pain, and less work-related insecurity. In contrast, local platform work entails greater organisational influence and less physical isolation. We explain these disparities by considering how divergent organisational forms emerge across the local/remote divide as a result of specific differences in platform technologies and worker skills.
| Original language | English |
|---|---|
| Pages (from-to) | 1154-1178 |
| Number of pages | 25 |
| Journal | Work, Employment and Society |
| Volume | 39 |
| Issue number | 5 |
| Early online date | 2 Jun 2025 |
| DOIs | |
| Publication status | Published - 1 Oct 2025 |
Bibliographical note
Publisher Copyright:© The Author(s) 2025.
Keywords
- algorithmic management
- gig economy
- job quality
- platform work
- skill
- working conditions
Fingerprint
Dive into the research topics of 'Beyond the ‘Gig Economy’: Towards Variable Experiences of Job Quality in Platform Work'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver