The Power of Precision: How Algorithmic Monitoring and Performance Management Enhances Employee Workplace Well‐Being

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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Publication Details

Journal
New Technology Work and Employment
Published
2024-12-25
DOI
https://doi.org/10.1111/ntwe.12328
Citations
16
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
18.11
Controls
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article

The Power of Precision: How Algorithmic Monitoring and Performance Management Enhances Employee Workplace Well‐Being

Yuhuan Xia, Di Fan, Ying Lu, Wei Liu et al.
16 citations
New Technology Work and Employment
Digital Economy and Work Transformation
18.11
article

The Power of Precision: How Algorithmic Monitoring and Performance Management Enhances Employee Workplace Well‐Being

Yuhuan Xia, Di Fan, Ying Lu, Wei Liu, Hui Deng
article en
16 citations

Abstract

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.

New Technology Work and EmploymentVol. 40(3)
Qingdao University (CN), Shandong University (CN), Beijing Forestry University (CN), RMIT University (AU), Macquarie University (AU)
Decent work and economic growth
Openalex Percentile: Top 1%
Digital Economy and Work Transformation
18.11
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