Survey Data on AI Exposure and Manager Wellbeing in Chinese Manufacturing

482 managers in China's manufacturing industry participated in a three-wave time-lagged survey examining AI's impact on mental health. The data supports structural equation modeling analysis of psychological mechanisms linking AI surveillance and awareness to wellbeing. The dataset was authored by Jialu Chu and last updated on March 19, 2026.

Use Cases

• Modeling the relationship between AI surveillance and psychological distress based on survey responses.
• Analyzing the mediating role of perceived autonomy on psychological wellbeing.
• Testing the moderating effect of employee resilience on AI-related stress mechanisms.
• Investigating the differential impacts of AI awareness versus AI surveillance on mental health.

Strengths

• Data from 482 managers provides a substantive sample for analysis.
• A three-wave time-lagged survey design likely captures longitudinal effects.
• The dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is 14.1 KB, indicating a very limited scope likely containing only summary or analysis results.

Provenance

Source

figshare

Collection Method

Three-wave time-lagged survey.

Freshness

Last updated 2026-03-19 05:17:27; freshness should be verified.

Geography

China, manufacturing industry.