Decoding the Digital Dilemma: Unraveling the Relationship Between Algorithmic Management and Employee Turnover Intentions in Online Work Platforms

With the continuous development of big data, artificial intelligence, and cloud computing, the platform economy is steadily rising, giving rise to diverse forms of employment. Online platform algorithm management, facilitated by network information technology, utilizes online platforms as carriers and employs data-driven algorithms to achieve highly efficient and precise matching services, as well as intelligent labor process management. To comprehensively understand the underlying influence mechanism of online platform algorithm management on employees, this paper focuses on studying the impact of algorithm management on employee turnover intention at the individual level. Through an extensive review of literature, questionnaire surveys, and analysis, this study aims to investigate the mechanism by which algorithm management affects turnover intention, as well as the mediating role of employee engagement in the relationship between turnover intention. By conducting a detailed analysis of the questionnaire data, this study provides a fresh perspective and theoretical foundation for human resource management in the context of online labor platforms.