Employee-AI Collaboration Survey Data for Confirmatory Factor Analysis

733 survey responses from employees at six technology-driven enterprises were collected via convenience sampling. The data supports confirmatory factor analysis and regression analyses to examine how employee-AI collaboration influences creativity through internal and external psychological pathways. The dataset was authored by Baorong Guo and is available as an XLS file.

Use Cases

• Perform confirmatory factor analysis based on survey constructs mentioned in the description
• Test regression models on the relationship between employee-AI collaboration and creativity
• Analyze moderated indirect effects based on the role of proactive behavior
• Study parallel and sequential psychological pathways involving self-efficacy and performance pressure

Strengths

• 733 valid survey responses provide a substantial sample size for statistical analysis
• Data collected from six technology-driven enterprises offers a specific organizational context
• The dataset is licensed under CC-BY-4.0, allowing for open reuse

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

Freshness

Last updated 2026-04-24 17:40:20; freshness should be verified