Employee-AI Collaboration Survey Data for Creativity Analysis

733 survey responses from employees at six technology-driven enterprises collected via convenience sampling. The data supports confirmatory factor analysis and regression analyses examining the relationship between employee-AI collaboration and creativity. The dataset was authored by Baorong Guo and last updated on April 24, 2026.

Use Cases

• Analyzing the relationship between employee-AI collaboration and creativity based on survey responses.
• Testing indirect pathways, such as self-efficacy and performance pressure, as mediators for creativity.
• Examining the moderating role of proactive behavior on the collaboration-creativity relationship.
• Conducting regression analyses to validate theoretical models grounded in social cognitive theory.

Strengths

• 733 valid survey responses provide a substantial sample size.
• Data was collected from six technology-driven enterprises, offering a specific organizational context.
• The dataset is structured for confirmatory factor analysis and regression testing, suggesting a defined analytical purpose.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is 5.5 KB, indicating a very limited scope of data.

Provenance

Source

Baorong Guo

Collection Method

Convenience sampling survey from six technology-driven enterprises.

Freshness

Last updated 2026-04-24 17:40:22; freshness should be verified.