IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p10022-d1178531.html
   My bibliography  Save this article

How Does Platform Labour Process Control Affect Courier’s Employment Mobility Intentions?—The Mediating Effects of Overtime Work and Job Autonomy

Author

Listed:
  • Bingbing Zhang

    (School of Management, Beijing Union University, Beijing 100101, China)

  • Yin Yao

    (School of Management, Beijing Union University, Beijing 100101, China)

  • Guangkui Han

    (School of Management, Beijing Union University, Beijing 100101, China)

  • Jialiang He

    (School of Management, Beijing Union University, Beijing 100101, China)

  • Yu Xie

    (School of Management, Beijing Union University, Beijing 100101, China)

  • Xinyu Wang

    (Institute of Human Resource Management, Beijing Union University, Beijing 100023, China)

Abstract

As one of the typical occupations in the new forms of employment generated by the platform economy, a courier has become an important channel for workers to achieve employment and increase their income. The labour process control of a courier by platforms has led to a decline in their employment experience and high mobility, which has affected the overall stability of employment. Using couriers as the research target, a questionnaire survey was conducted to explore the influence mechanism of platform labour process control on employment mobility intentions and the heterogeneity of this influence mechanism among different types of workers. The results show that among the three elements of platform labour process control, algorithmic control, incentive control, and evaluation control all have a significant, positive impact on the employment mobility intentions of couriers, with overtime work and job autonomy playing a partly mediating role respectively, job autonomy playing a significantly larger mediating role than overtime work, and part-time workers are more likely to be influenced by platform labour process control than full-time workers. On this basis, it provides a basis and reference for relevant government departments to implement effective regulation of platform enterprises, to control the degree of platform labour process control within a reasonable range, and to enhance the employment stability of workers, which has distinct theoretical and practical significance.

Suggested Citation

  • Bingbing Zhang & Yin Yao & Guangkui Han & Jialiang He & Yu Xie & Xinyu Wang, 2023. "How Does Platform Labour Process Control Affect Courier’s Employment Mobility Intentions?—The Mediating Effects of Overtime Work and Job Autonomy," Sustainability, MDPI, vol. 15(13), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10022-:d:1178531
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/10022/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/13/10022/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tan, Zhi Ming & Aggarwal, Nikita & Cowls, Josh & Morley, Jessica & Taddeo, Mariarosaria & Floridi, Luciano, 2021. "The ethical debate about the gig economy: A review and critical analysis," Technology in Society, Elsevier, vol. 65(C).
    2. Andrey Shevchuk & Denis Strebkov & Shannon N. Davis, 2019. "The Autonomy Paradox: How Night Work Undermines Subjective Well-Being of Internet-Based Freelancers," ILR Review, Cornell University, ILR School, vol. 72(1), pages 75-100, January.
    3. Xiongying Chen & Yu Xie & Keqiang Wu & Xin Zhao & BingBing Zhang & Yin Yao & Xinyu Wang & Daqing Gong, 2021. "Income Differences between Flexibly and Nonflexibly Employed Persons and Their Deconstruction: An Analysis Based on Data from the 2018 China Mobility Monitor," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, December.
    4. Christian Fieseler & Eliane Bucher & Christian Pieter Hoffmann, 2019. "Unfairness by Design? The Perceived Fairness of Digital Labor on Crowdworking Platforms," Journal of Business Ethics, Springer, vol. 156(4), pages 987-1005, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yao, Qiongrui (Missy) & Baker, LaKami T. & Lohrke, Franz T., 2022. "Building and sustaining trust in remote work by platform-dependent entrepreneurs on digital labor platforms: Toward an integrative framework," Journal of Business Research, Elsevier, vol. 149(C), pages 327-339.
    2. Angela Garcia Calvo & Martin Kenney & John Zysman, 2023. "Understanding work in the online platform economy: the narrow, the broad, and the systemic perspectives," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(4), pages 795-814.
    3. Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
    4. Niki Panteli & Andriana Rapti & Dora Scholarios, 2020. "‘If He Just Knew Who We Were’: Microworkers’ Emerging Bonds of Attachment in a Fragmented Employment Relationship," Work, Employment & Society, British Sociological Association, vol. 34(3), pages 476-494, June.
    5. Melián-González, Santiago, 2022. "Gig economy delivery services versus professional service companies: Consumers’ perceptions of food-delivery services," Technology in Society, Elsevier, vol. 69(C).
    6. Brad Greenwood & Idris Adjerid & Corey M. Angst & Nathan L. Meikle, 2022. "How Unbecoming of You: Online Experiments Uncovering Gender Biases in Perceptions of Ridesharing Performance," Journal of Business Ethics, Springer, vol. 175(3), pages 499-518, January.
    7. Irram Shahzadi & Saira Rafiq & Umair Ali, 2022. "Investigating the Influence of Flexible Work Arrangements on Work-Life Balance in South Asian Gig Workers: Does Ryff's Six-Factor model of Psychological Well-being Moderates?," iRASD Journal of Management, International Research Alliance for Sustainable Development (iRASD), vol. 4(2), pages 316-329, june.
    8. Uchiyama, Yosuke & Furuoka, Fumitaka & Md. Akhir, Md. Nasrudin, 2022. "Gig Workers, Social Protection and Labour Market Inequality: Lessons from Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 56(3), pages 165-184.
    9. Altanshagai Batmunkh & Maria Fekete-Farkas & Zoltan Lakner, 2022. "Bibliometric Analysis of Gig Economy," Administrative Sciences, MDPI, vol. 12(2), pages 1-15, April.
    10. Friedland, Julian & Balkin, David B., 2023. "When gig workers become essential: Leveraging customer moral self-awareness beyond COVID-19," Business Horizons, Elsevier, vol. 66(2), pages 181-190.
    11. Struckell, Elisabeth M. & Patel, Pankaj C. & Ojha, Divesh & Oghazi, Pejvak, 2022. "Financial literacy and self employment – The moderating effect of gender and race," Journal of Business Research, Elsevier, vol. 139(C), pages 639-653.
    12. Yizhi Han & Jingyi Wang, 2022. "Autonomy or Working Conditions?—Research on Heterogeneity and Influencing Mechanism of Self-Employment on Job Satisfaction in China," IJERPH, MDPI, vol. 20(1), pages 1-22, December.
    13. Barbara Švagan, 2023. "Understanding the paradox of high job quality evaluations among platform workers," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    14. Mourelatos, Evangelos, 2021. "Personality and Ethics on Online Labor Markets: How mood influences ethical perceptions," EconStor Preprints 244735, ZBW - Leibniz Information Centre for Economics.
    15. Gerber, Christine, 2021. "Community building on crowdwork platforms: Autonomy and control of online workers?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 25(2), pages 190-211.
    16. Gengxin Sun, 2023. "Quantitative Analysis of Online Labor Platforms’ Algorithmic Management Influence on Psychological Health of Workers," IJERPH, MDPI, vol. 20(5), pages 1-17, March.
    17. Xiaochuan Song & Graham H. Lowman & Peter Harms, 2020. "Justice for the Crowd: Organizational Justice and Turnover in Crowd-Based Labor," Administrative Sciences, MDPI, vol. 10(4), pages 1-37, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10022-:d:1178531. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.