Manufacturing Digital Transformation Descriptive Statistics

9.5 KB of descriptive statistical results for main variables in a study of manufacturing companies and digital economy dynamics. The dataset, authored by Junling Wang and last updated in March 2026, provides foundational metrics for variables like digital transformation and dynamic capabilities. It is released under a CC BY 4.0 license.

Use Cases

• Perform descriptive analysis on variables such as Digital Transformation and Dynamic Capabilities to establish baseline distributions.
• Conduct heterogeneity tests using variables likely related to Manufacturing Industry characteristics to examine subgroup differences.
• Validate the statistical significance of relationships, such as the Significant Positive Impact mentioned in the study's tags, using the provided descriptive results.

Strengths

• Dataset is compact at 9.5 KB, facilitating quick inspection and analysis.
• Released under a permissive CC BY 4.0 license, enabling broad reuse and sharing.
• Explicitly focuses on variables relevant to Digital Economy and Manufacturing Companies, providing thematic clarity.

Limitations

• Extremely small scale at 9.5 KB suggests a very limited number of observations or summary statistics, not raw data.
• No column names, sample data, or row count are provided, severely limiting understanding of the data structure.
• Tags suggest the data is derived from a specific academic study, which may limit generalizability to other contexts.

Provenance

Source

Junling Wang via figshare

Collection Method

Descriptive statistical results from an empirical study; specific collection method unknown.

Freshness

Last updated March 2026, indicating it is current or forward-dated.