Employee-AI Collaboration Survey Data for Creativity Analysis

733 valid survey responses collected from six technology-driven enterprises via convenience sampling. The dataset likely contains variables for testing mediation effects of employee-AI collaboration on creativity through internal and external pathways. Author Baorong Guo published the data on figshare in April 2026.

Use Cases

• Test mediation models based on the described internal pathway (self-efficacy) and external pathway (performance pressure)
• Analyze moderated indirect effects based on the moderating role of proactive behavior mentioned in the description
• Conduct confirmatory factor analysis based on the theoretical model tested in the original study
• Perform regression analyses to explore sequential indirect associations between collaboration, self-efficacy, pressure, and creativity

Strengths

• Dataset contains 733 valid survey responses, providing a substantial sample size for analysis
• Theoretical model was tested using confirmatory factor analysis and regression analyses, suggesting a structured analytical foundation

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect bias inherent to convenience sampling from six specific enterprises

Provenance

Source

Baorong Guo

Collection Method

Convenience sampling from six technology-driven enterprises

Freshness

Last updated 2026-04-24 17:40:23; freshness should be verified