Corporate Criminal Compliance and Corporate Fraud Prevention

This dataset contains the bibliographic records, screening outputs, relevance assessments, and consolidated evidence tables used to support the article on corporate criminal compliance, corporate fraud prevention, and related mechanisms of transparency and governance. The files include both raw and processed data in Excel format. Raw_Data.xlsx preserves intermediate search and screening outputs across multiple worksheets, including search results, preliminary relevance filtering, full-text review extracts, and thematic article tables. Data(1).xlsx contains the consolidated datasets used for analysis, including a combined corpus on corporate compliance research and a complementary corpus on blockchain, transparency, auditability, and corporate governance.

The variables included across the spreadsheets comprise bibliographic metadata and analytical descriptors such as paper title, publication year, publication type, journal or publication title, author names, DOI, PDF link when available, open access status, citation count, Google Scholar identifier, abstract, relevance notes, TL;DR summaries, and relevant excerpts. These data were organized to facilitate article screening, thematic classification, comparative analysis, and bibliometric interpretation.

The dataset is intended for transparency, reproducibility, and secondary analysis. It may be useful for researchers working on corporate compliance, fraud prevention, corporate governance, blockchain-enabled transparency, audit quality, regulatory effectiveness, and bibliometric methods. The files do not contain personal sensitive data or human subject data. Missing values may appear in fields such as DOI, citation count, abstract, publication title, or year, depending on source availability at the time of extraction and screening.