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The organisation and experience of work in the gig economy
Abstract
The gig economy has captured public and policy interest and is growing as an area of academic inquiry, prompting debate about the future of work, labour regulation, and the impact of technology and job quality. This special issue provides a timely intervention into that debate with this article providing an introductory overview, positioning the articles within a comprehensive literature review of existing scholarship on the gig economy. These articles add to our understanding of the organisation and experience of work in the digitally enabled gig economy in a variety of national settings. They explore aspects such as job quality, forms of collectivity, identity development, and algorithmic management and control. This article also delineates avenues for further research regarding conditions for gig workers, the impact of gig work and information, technology and gig work.
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Cited by
Gig work and gig workers: An integrative review and agenda for future research
Wu, D., & Huang, J. L. (2024) · Journal of Organizational Behavior · doi:10.1002/job.2775 · Cited by 168
Boundaryless careers and algorithmic constraints in the gig economy
Duggan, J., Sherman, U., Carbery, R., & McDonnell, A. (2022) · The International Journal of Human Resource Management · doi:10.1080/09585192.2021.1953565 · Cited by 129
Gamification and gigification: A multidimensional theoretical approach
Behl, A., Jayawardena, N., Ishizaka, A., Gupta, M., & Shankar, A. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2021.09.023 · Cited by 104
Technologically mediated human resource management in the gig economy
McDonnell, A., Carbery, R., Burgess, J., & Sherman, U. (2021) · The International Journal of Human Resource Management · doi:10.1080/09585192.2021.1986109 · Cited by 82
Barriers to entry of gig workers in the gig platforms: exploring the dark side of the gig economy
Behl, A., Rajagopal, K., Sheorey, P., & Mahendra, A. (2022) · Aslib Journal of Information Management · doi:10.1108/ajim-08-2021-0235 · Cited by 62
Metadata
- Authors
- Kaine, S., & Josserand, E.
- Venue
- Journal of Industrial Relations
- Publisher
- SAGE Publications
- Published
- 2019-08-20
- Volume
- 61
- Issue
- 4
- Pages
- 479-501
- ISSN
- 0022-1856 (ISSN-L)
- 1472-9296
- OpenAlex
- W2969542118
- Cited by
- 294
- References
- 3
- FWCI
- 44.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.