Gender differences in the relationship between job accuracy, job satisfaction, and re-enrollment intentions among migrant workers in the United Kingdom seasonal work scheme

Kristine J. Olson & Lixin Jiang

Economic and Industrial Democracy: an international journal2026https://doi.org/10.1177/0143831x261425783article
AJG 3ABDC A
Weight
0.50

Abstract

This study examined how the perceived accuracy of pre-arrival information regarding accommodation, work hours, and pay influences seasonal migrant workers’ satisfaction with each aspect and their intention to re-enroll in the United Kingdom seasonal agriculture work scheme (SAWS). Drawing on psychological contract theory and conservation of resources theory, the study tested moderated mediation models using survey data from 12,040 workers who were temporarily employed in the UK on the seasonal work visa during 2023. Results indicated that information accuracy regarding accommodation, working hours, and pay significantly predicted workers’ satisfaction with these aspects, which in turn predicted intentions to re-enroll in SAWS. Gender moderated the relationship between information accuracy about the advertised seasonal job with job satisfaction with work hours, but not accommodation or pay. Findings highlight the critical role of accurate recruitment communication in sustaining seasonal labor programs.

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https://doi.org/https://doi.org/10.1177/0143831x261425783

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@article{kristine2026,
  title        = {{Gender differences in the relationship between job accuracy, job satisfaction, and re-enrollment intentions among migrant workers in the United Kingdom seasonal work scheme}},
  author       = {Kristine J. Olson & Lixin Jiang},
  journal      = {Economic and Industrial Democracy: an international journal},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/0143831x261425783},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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