Variable Definitions for Digital Transformation and Enterprise Productivity Study

Variable definitions supporting a study on the heterogeneous economic impacts of digital transformation. The dataset, created by Peng Song and last updated in April 2026, categorizes digital transformation into five directions using semantic analysis of corporate reports. It is a 5.5 KB XLS file.

Use Cases

• Analyzing the differential impact of AI versus Blockchain on total factor productivity based on the described technological heterogeneity.
• Studying the mediating role of dynamic capabilities like organizational coordination in digital transformation based on the described mechanism.
• Conducting industry-specific heterogeneity analysis for labor-intensive sectors based on the described findings.
• Empirically testing theoretical models linking digital transformation directions to economic outcomes.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a concise and focused set of variable definitions.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Peng Song via figshare.

Collection Method

Variables derived from semantic analysis of annual reports of A-share listed companies using an LDA topic model.

Time Range

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Freshness

Last updated 2026-04-28 17:48:29; freshness should be verified.

Geography

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