Calibrated Dataset for fsQCA and NCA Analyses of Chinese Art Entrepreneurs

China's cultural and creative industries are the focus of this survey-based dataset. It contains data from 203 art entrepreneurs across various creative sectors, collected by Zhaohua Chai and last updated in May 2026. The dataset is calibrated for use with fuzzy-set Qualitative Comparative Analysis (fsQCA) and Necessary Condition Analysis (NCA).

Use Cases

• Conducting fuzzy-set Qualitative Comparative Analysis (fsQCA) based on the calibrated data for exploratory innovation.
• Performing Necessary Condition Analysis (NCA) to test for non-linear necessity relationships among conditions.
• Investigating configurations of dynamic capabilities and open systems factors that lead to high exploratory innovation.
• Studying innovation in resource-constrained entrepreneurial contexts, specifically within China's creative industries.

Strengths

• Dataset is explicitly calibrated for fsQCA and NCA methodologies.
• Based on survey data from 203 art entrepreneurs, providing a specific sample size.
• Released under a permissive CC-BY-4.0 license for open use.

Limitations

• The dataset is very small at 7.8 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for some analyses.

Provenance

Source

Zhaohua Chai via figshare.

Collection Method

Survey data from art entrepreneurs.

Freshness

Last updated 2026-05-04 17:36:38; freshness should be verified.

Geography

China