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ORIGINAL RESEARCH article

Front. Psychol.
Sec. Performance Science
Volume 15 - 2024 | doi: 10.3389/fpsyg.2024.1378247

Job Demands-Resources on Digital Gig Platforms and Counterproductive Work Behavior

Provisionally accepted
  • 1 Jiaxing Nanhu University, Jiaxing, China
  • 2 Pukyong National University, Busan, Republic of Korea
  • 3 Chung-Ang University, Seoul, Seoul, Republic of Korea

The final, formatted version of the article will be published soon.

    With the rapid expansion of digital gig platforms, counterproductive work behavior among gig workers has become increasingly prominent, adversely impacting the platform's reputation, operational efficiency, and user experience. This study, grounded in the Job demands-resources model and Job engagement theory, develops a second-order chain mediation structural model to explore how the second-order variables of job demands, comprising work pace/workload, physical demands, psychological demands, and customer-related social stressors, and job resources, comprising compensation, job security, learning opportunities, and opportunities for professional development, affect counterproductive work behavior among gig workers on digital platforms. The findings reveal that job demands positively influence counterproductive work behavior, whereas job resources have a negative impact. Additionally, cognitive, emotional, and behavioral engagement each negatively affect counterproductive work behavior. Finally, platform formalization moderates the negative influence of gig workers' cognitive, emotional, and behavioral engagement on counterproductive work behavior. This research provides a comprehensive theoretical framework for digital gig platform managers to understand and predict gig workers' counterproductive work behavior. It also offers a solid theoretical basis for optimizing the work environment, enhancing job engagement, and mitigating counterproductive work behavior, thus fostering mutual development between gig workers and the platform.

    Keywords: gig economy, Digital gig platform, Counterproductive work behavior, Job Demands-Resources model, Job engagement theory, second-order structural equation model

    Received: 29 Jan 2024; Accepted: 02 Sep 2024.

    Copyright: © 2024 Zhao and LIU. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Shanshan Zhao, Jiaxing Nanhu University, Jiaxing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.