The work affective well-being under the impact of AI

Artificial intelligence (AI) technology is expected to help enterprises reduce costs and improve efficiency, but it may also threaten the employment of employees. It may form a substitution effect on employees' jobs and might make them experience negative work emotions. Employees' work emotions could then affect their innovative abilities, which in turn impacts the innovation ability and competitiveness of enterprises. Therefore, the impact of applying artificial intelligence technology on employees' work well-being has become a pressing issue for businesses today. Through empirical analysis of 349 questionnaire responses, we found that employees' STARA awareness negatively predicts their work affective well-being. Job stress mediates the relationship between STARA awareness and employees' work affective well-being. Psychological resilience moderates the relationship between STARA awareness and job stress, moderates the indirect effect of STARA awareness on employees' work affective well-being through job stress. Theoretical discussions and analyses of the mechanism through which STARA awareness affects employees' work affective well-being were conducted based on the Conservation of Resources theory. In practice, we provide valuable insights for employees and enterprises to address the impact of AI, enhance work affective well-being, and strengthen enterprises' innovation and competitiveness.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-10-26
DOI
https://doi.org/10.1038/s41598-024-75113-w
Citations
15
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
12.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The work affective well-being under the impact of AI

Hui Liao, Jiang Jiang, Guihua Jin
15 citations
Scientific Reports
Employment and Welfare Studies
12.74
article

The work affective well-being under the impact of AI

Hui Liao, Jiang Jiang, Guihua Jin
article en
15 citations

Abstract

Artificial intelligence (AI) technology is expected to help enterprises reduce costs and improve efficiency, but it may also threaten the employment of employees. It may form a substitution effect on employees' jobs and might make them experience negative work emotions. Employees' work emotions could then affect their innovative abilities, which in turn impacts the innovation ability and competitiveness of enterprises. Therefore, the impact of applying artificial intelligence technology on employees' work well-being has become a pressing issue for businesses today. Through empirical analysis of 349 questionnaire responses, we found that employees' STARA awareness negatively predicts their work affective well-being. Job stress mediates the relationship between STARA awareness and employees' work affective well-being. Psychological resilience moderates the relationship between STARA awareness and job stress, moderates the indirect effect of STARA awareness on employees' work affective well-being through job stress. Theoretical discussions and analyses of the mechanism through which STARA awareness affects employees' work affective well-being were conducted based on the Conservation of Resources theory. In practice, we provide valuable insights for employees and enterprises to address the impact of AI, enhance work affective well-being, and strengthen enterprises' innovation and competitiveness.

Scientific ReportsVol. 14(1)
Liaoning Technical University (CN), Chinese Academy of Sciences (CN), Institute of Applied Ecology (CN), University of Chinese Academy of Sciences (CN)
Gender equality
Openalex Percentile: Top 1%
Employment and Welfare Studies
12.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.