The Rise of Algorithmic Management and Implications for Work and Organisations
本文综述了算法管理的研究，将其归纳为五种理论视角，指出其提升协调效率的同时也带来监控、偏见、非人化等问题，并呼吁伦理治理与负责任设计。
ABSTRACT The rise of algorithmic management (AM) is helping to transform work and employment relationships, creating new challenges and opportunities alike. AM leverages machine‐learning algorithms to help automate managerial functions. This raises key questions about its impact on work, organisations, and the broader society. This paper synthesises existing research on AM and categorizes scholarly insights into five theoretical perspectives: AM as a surveillance and control system, as a neutral tool, as an agentic boss, as a socio‐technical process, and AM as a contradictory unity. While AM enhances coordination and efficiency, it also raises concerns such as pervasive surveillance, bias, dehumanization and worker alienation. We highlight the tensions between control and autonomy, transparency and opacity, and efficiency and fairness, illustrating the paradoxical nature of AM. This paper proposes a future research agenda, calling for ethical governance and responsible design of algorithmic systems to reap the benefits of AM while managing potential risks and mitigating harms.