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 language | English |
|---|---|
| Pages (from-to) | 390-403 |
| Number of pages | 14 |
| Journal | New Technology, Work and Employment |
| Volume | 40 |
| Issue number | 3 |
| Early online date | 25 Dec 2024 |
| DOIs | |
| Publication status | Published - Nov 2025 |
Keywords
- algorithmic control
- algorithmic monitoring
- algorithmic performance management
- algorithmic transparency
- employee workplace well-being
- perceived organizational fairness
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