The power of precision: how algorithmic monitoring and performance management enhances employee workplace well-being

Hui Deng, Ying Lu, Di Fan, Wei Liu, Yuhuan Xia*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)390-403
Number of pages14
JournalNew Technology, Work and Employment
Volume40
Issue number3
Early online date25 Dec 2024
DOIs
Publication statusPublished - Nov 2025

Keywords

  • algorithmic control
  • algorithmic monitoring
  • algorithmic performance management
  • algorithmic transparency
  • employee workplace well-being
  • perceived organizational fairness

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