Survey Data on Exploratory Innovation in China's Creative Industries, 203 Entrepreneurs

203 survey responses from art entrepreneurs across various creative sectors in China, collected for a study on exploratory innovation. The dataset, created by Zhaohua Chai and last updated on 2026-05-04, contains results from exploratory factor analysis and is shared under a CC-BY-4.0 license. It is a small dataset, 13.5 KB in size, stored in an XLS file format.

Use Cases

• Replicate or validate the study's factor analysis based on the described survey data.
• Analyze configurations for high innovation levels based on the three pathways described: internally driven capability alignment, external opportunity activation, and sensing-response adaptation.
• Apply fsQCA methods to the provided data to explore complex causal conditions for exploratory innovation.
• Study the application of dynamic capabilities and open systems theory in resource-constrained creative entrepreneurship contexts.

Strengths

• Data is based on a specific survey of 203 art entrepreneurs, providing a defined sample size.
• Dataset is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.
• The underlying study employs a mixed-method approach (NCA and fsQCA), suggesting structured analytical potential.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain statistical methods.
• The dataset is very small (13.5 KB), indicating limited scope or a highly condensed summary of results.

Provenance

Source

Zhaohua Chai, via figshare.

Collection Method

Survey data collected from art entrepreneurs in China's cultural and creative industries.

Time Range

Survey collection date is unspecified; dataset was last updated in 2026.

Freshness

Last updated 2026-05-04 17:36:42; freshness should be verified.

Geography

China, specifically its cultural and creative industries.