Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

Research on the Impact of Algorithm Monitoring on Job Insecurity and Work Engagement From the Perspective of Perceived Transparency of Algorithmic Monitoring

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  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344466,
        author={Yining  Cai},
        title={Research on the Impact of Algorithm Monitoring on Job Insecurity and Work Engagement From the Perspective of Perceived Transparency of Algorithmic Monitoring},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={algorithmic monitoring perceived transparency of algorithmic monitoring job insecurity work engagement},
        doi={10.4108/eai.8-12-2023.2344466}
    }
    
  • Yining Cai
    Year: 2024
    Research on the Impact of Algorithm Monitoring on Job Insecurity and Work Engagement From the Perspective of Perceived Transparency of Algorithmic Monitoring
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344466
Yining Cai1,*
  • 1: Shanghai University School of Management
*Contact email: caiyining919@163.com

Abstract

With the widespread application of algorithms in various fields, there is a growing and urgent demand from employees and organizations for transparency in the algorithmic generation process. Transparency significantly influences employees' productive behavior. The objective of this study is to explore the impact of algorithmic monitoring on employees' job insecurity and work engagement under the regulation of perceived transparency of algorithmic monitoring. The research findings indicate that algorithmic monitoring positively influences employees' job insecurity. Moreover, job insecurity plays a mediating role between algorithmic monitoring and work engagement. Employees' perception of the transparency of algorithmic monitoring negatively moderates the link between algorithmic monitoring and job insecurity. This study provides new insights into relevant theories and practices.