抗性(生态学)
控制(管理)
业务
背景(考古学)
营销
知识管理
过程(计算)
计算机科学
人工智能
生态学
生物
操作系统
古生物学
作者
Lindsey Cameron,Hatim A. Rahman
出处
期刊:Organization Science
[Institute for Operations Research and the Management Sciences]
日期:2021-12-14
卷期号:33 (1): 38-58
被引量:149
标识
DOI:10.1287/orsc.2021.1557
摘要
Existing literature examines control and resistance in the context of service organizations that rely on both managers and customers to control workers during the execution of work. Digital platform companies, however, eschew managers in favor of algorithmically mediated customer control—that is, customers rate workers, and algorithms tally and track these ratings to control workers’ future platform-based opportunities. How has this shift in the distribution of control among platforms, customers, and workers affected the relationship between control and resistance? Drawing on workers’ experiences from a comparative ethnography of two of the largest platform companies, we find that platform use of algorithmically mediated customer control has expanded the service encounter such that organizational control and workers’ resistance extend well beyond the execution of work. We find that workers have the most latitude to deploy resistance early in the labor process but must adjust their resistance tactics because their ability to resist decreases in each subsequent stage of the labor process. Our paper, thus, develops understanding of resistance by examining the relationship between control and resistance before, during, and after a task, providing insight into how control and resistance function in the gig economy. We also demonstrate the limitations of platforms’ reliance on algorithmically mediated customer control by illuminating how workers’ everyday interactions with customers can influence and manipulate algorithms in ways that platforms cannot always observe.
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