Employee-AI Collaboration Survey Data for Creativity Analysis

733 survey responses from six technology-driven enterprises examine how employee-AI collaboration influences creativity. The data likely contains variables for self-efficacy, performance pressure, proactive behavior, and creativity scores. Author Baorong Guo published this dataset on figshare in April 2026.

Use Cases

• Testing moderated mediation models based on the described internal (self-efficacy) and external (performance pressure) pathways.
• Analyzing the moderating effect of proactive behavior on relationships between AI collaboration and psychological states.
• Investigating the sequential indirect association from self-efficacy to performance pressure to creativity.
• Examining the psychological mechanisms underlying creativity in AI-enabled work environments.

Strengths

• 733 valid survey responses provide a substantial sample size.
• Data collection targeted employees from six technology-driven enterprises, offering a specific context.

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 the convenience sampling method and the specific enterprises surveyed.

Provenance

Source

figshare

Collection Method

Survey data collected via convenience sampling.

Freshness

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