Artificial Intelligence Job Substitution Risks, Digital Self-efficacy, and Mental Health Among Employees

It provides an in-depth exploration of the specific processes and mechanisms through which AI-driven job substitution impacts employees' mental health. Practically, it offers insights for the implementation of AI and strategies to safeguard employee mental health.

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Publication Details

Journal
Journal of Occupational and Environmental Medicine
Published
2025-02-07
DOI
https://doi.org/10.1097/jom.0000000000003335
Citations
5
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
14.08
Controls
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article

Artificial Intelligence Job Substitution Risks, Digital Self-efficacy, and Mental Health Among Employees

Hairong Zhao, Peiguan Wu
5 citations
Journal of Occupational and Environmental Medicine
Employment and Welfare Studies
14.08
article

Artificial Intelligence Job Substitution Risks, Digital Self-efficacy, and Mental Health Among Employees

Hairong Zhao, Peiguan Wu
article en
5 citations

Abstract

It provides an in-depth exploration of the specific processes and mechanisms through which AI-driven job substitution impacts employees' mental health. Practically, it offers insights for the implementation of AI and strategies to safeguard employee mental health.

Journal of Occupational and Environmental MedicineVol. 67(5)
Beijing Normal-Hong Kong Baptist University (CN), Sun Yat-sen University (CN)
Decent work and economic growth
Openalex Percentile: Top 1%
Employment and Welfare Studies
14.08
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