Survey Data on Generative AI Use and Employee Psychological Distress in China

Survey data from 424 Chinese employees examines the relationship between generative AI use and psychological distress. The study tests a moderated mediation model with job insecurity and workplace loneliness as mediators, and information literacy and AI ethical risk perception as moderators. The dataset was authored by Meng Liu and last updated on 2026-05-20.

Use Cases

• Test moderated mediation models based on the Stimulus-Organism-Response (SOR) framework described in the study.
• Analyze the dual mediating pathways of job insecurity and workplace loneliness on psychological distress.
• Investigate the moderating effects of information literacy and AI ethical risk perception on the relationship between AI use and distress.
• Replicate or extend empirical findings on the psychological impacts of generative AI in a Chinese workplace context.

Strengths

• Includes survey data from 424 respondents, providing a specific sample size.
• The model tests multiple hypothesized relationships, including dual mediation and two moderators.
• Dataset is openly licensed under CC-BY-4.0, permitting reuse and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is limited to a specific geographic and cultural context (Chinese employees).

Provenance

Source

Meng Liu via figshare

Collection Method

Survey data collection from employees.

Freshness

Last updated 2026-05-20 05:46:05; freshness should be verified.

Geography

China