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Does work overload of odd-job platform workers lead to turnover intention? An empirical study on platform workers

Shan Liu (School of Economics and Management, Harbin Normal University, Harbin, China) (School of Business Administration, South China University of Technology, Guangzhou, China)
Guang Xu (School of Economics and Management, Harbin Normal University, Harbin, China)
Jie Zhong (School of Economics and Management, Tsinghua University, Beijing, China)
Yuling Xu (School of Economics and Management, Harbin Normal University, Harbin, China)

Baltic Journal of Management

ISSN: 1746-5265

Article publication date: 21 October 2024

Issue publication date: 13 November 2024

122

Abstract

Purpose

Against the background of the digital economy, odd-job platforms rely on artificial intelligence algorithms to efficiently allocate tasks and monitor platform workers’ performance, putting these workers under enormous pressure. This paper explores the relationship between work overload and turnover intention of platform workers on odd-job platforms and the factors that lead to platform workers’ turnover.

Design/methodology/approach

Based on the job demands–resources model (JD-R), we construct a theoretical model to explain the relationship between work overload and turnover intention of platform workers. We test job burnout as a mediator variable and perceived algorithmic fairness and job autonomy as moderating variables. We conducted a study at food delivery platforms and ride-hailing platforms in China.

Findings

The empirical results show that: (1) work overload increases the turnover intention of platform workers by increasing job burnout and (2) perceived algorithmic fairness and job autonomy moderate the positive relationship between work overload and job burnout.

Originality/value

We provide a theoretical basis to explain the influence of work overload on turnover intention of odd-job platform workers and provide practical recommendations for management of platform workers.

Keywords

Acknowledgements

Funding: Harbin Normal University Postgraduate Innovation Project (HSDSSCX2023-20).

Citation

Liu, S., Xu, G., Zhong, J. and Xu, Y. (2024), "Does work overload of odd-job platform workers lead to turnover intention? An empirical study on platform workers", Baltic Journal of Management, Vol. 19 No. 5, pp. 497-511. https://doi.org/10.1108/BJM-10-2023-0390

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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