Algorithms at Work: The New Contested Terrain of Control

地形 控制(管理) 计算机科学 工作(物理) 人工智能 算法 地理 工程类 地图学 机械工程
作者
Katherine C. Kellogg,Melissa Valentine,Angèle Christin
出处
期刊:The Academy of Management Annals [Academy of Management]
卷期号:14 (1): 366-410 被引量:1463
标识
DOI:10.5465/annals.2018.0174
摘要

The widespread implementation of algorithmic technologies in organizations prompts questions about how algorithms may reshape organizational control. We use Edwards' (1979) perspective of "contested terrain," wherein managers implement production technologies to maximize the value of labor and workers resist, to synthesize the interdisciplinary research on algorithms at work. We find that algorithmic control in the workplace operates through six main mechanisms, which we call the "6 Rs"—employers can use algorithms to direct workers by restricting and recommending, evaluate workers by recording and rating, and discipline workers by replacing and rewarding. We also discuss several key insights regarding algorithmic control. First, labor process theory helps to highlight potential problems with the largely positive view of algorithms at work. Second, the technical capabilities of algorithmic systems facilitate a form of rational control that is distinct from the technical and bureaucratic control used by employers for the past century. Third, employers' use of algorithms is sparking the development of new algorithmic occupations. Finally, workers are individually and collectively resisting algorithmic control through a set of emerging tactics we call algoactivism. These insights sketch the contested terrain of algorithmic control and map critical areas for future research.
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