功率(物理)
业务
工业工程
计算机科学
可靠性工程
运营管理
产业组织
工程类
物理
量子力学
作者
Hui Deng,Ying Lu,Di Fan,Wei Liu,Yuhuan Xia
摘要
ABSTRACT Can algorithmic control positively impact employee well‐being in the workplace? This study examines the potential benefits of algorithmic control, particularly through monitoring work activities and assessing performance, in enhancing employees' workplace well‐being within conventional employment settings. Grounded in labour process theory, our analysis of a multi‐wave data set reveals that both algorithmic monitoring and performance management can foster employees' perceptions of organizational fairness, which subsequently supports workplace well‐being. Additionally, the study finds that algorithmic transparency further strengthens these positive effects, emphasizing the value of clear and accessible communication around algorithmic processes. These insights offer a practical framework for leveraging algorithmic tools to harness the power of precision, enhancing perceptions of fairness and promoting employee well‐being.
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