Employee-AI Collaboration Survey Responses for Creativity Analysis

733 survey responses collected from six technology-driven enterprises in 2026. The dataset contains results from a study examining how employee-AI collaboration affects creativity via internal and external psychological mechanisms. It was authored by Baorong Guo and published under a CC-BY-4.0 license.

Use Cases

• Analyzing the relationship between employee-AI collaboration and creativity based on survey responses.
• Testing moderated mediation models involving self-efficacy and performance pressure as described.
• Investigating the moderating role of proactive behavior on psychological pathways.
• Conducting confirmatory factor analysis on the theoretical constructs mentioned.

Strengths

• Dataset includes 733 valid survey responses, providing a substantial sample size.
• Data collection targeted six technology-driven enterprises, offering a specific organizational context.
• Theoretical model was tested using confirmatory factor analysis and regression analyses, suggesting structured validation.

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 a specific industry sector.

Provenance

Source

Baorong Guo

Collection Method

Convenience sampling survey from six technology-driven enterprises.

Freshness

Last updated 2026-04-24 17:40:19; freshness should be verified.