Lost in Automation? Algorithmic Management and the Evolving Role of Middle Managers - Insights From the Spanish Dark Stores Sector

复杂度 规范性 软件部署 过程(计算) 中层管理人员 控制(管理) 功率(物理) 自动化 社会学 服务(商务) 公共关系 经济 人力资源管理 业务 知识管理 营销 管理风格 价值(数学) 决策规范模型 劳动关系 管理控制系统 社会控制 管理过程 信息技术 技术变革 关键管理研究 计算机科学 断言
作者
Tiago Vieira,Sander Junte,Tiago Vieira,Sander Junte
出处
期刊:Work And Occupations [SAGE Publishing]
标识
DOI:10.1177/07308884251398078
摘要

This article examines the impact of algorithmic management on workplace social relations in conventional employment settings. Fifty-one semi-structured interviews with middle managers and shop-floor workers of three different dark stores in Spain were conducted to explore how algorithmic tools reshape managerial roles and worker dynamics. Building on Labor Process Theory, the findings reveal that while algorithmic management reduces the need for traditional managerial oversight, it simultaneously transforms managers into algorithmic brokers who interpret algorithmic output, thus facilitating control mechanisms rather than eliminating them. This shift underlines the persistence of power asymmetries in capitalist employment relationships, where managers continue to play a critical role in extracting surplus value from labor. Furthermore, the article argues that technology deployment in the workplace both shapes and is shaped by power relations. This highlights the need for a nuanced understanding of how algorithmic management influences social workplace relations. As empirically illustrated, different forms of handling the human-machine complementarities emerging from the deployment of algorithmic management lead to varied outcomes. Where technology is used to surveil and coerce, workers develop grievances against management and employers. Conversely, where technology is at the service of thoughtfully crafted forms of normative control, workers immerse themselves in the labor process. Ultimately, this research contributes to ongoing debates about the future of work, arguing that concerns about full automation are exaggerated, and that algorithmic management should be seen instead as an avenue for the expansion and sophistication of workers’ exploitation through enhanced control mechanisms.
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