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.本数据集包含用于支撑有关企业刑事合规、企业舞弊预防及相关透明度与治理机制研究论文的文献著录信息、筛选结果、相关性评估结果以及整合后的证据表格。本次提供的文件包含Excel格式的原始数据与经处理后的数据。其中Raw_Data.xlsx在多个工作表中留存了中间检索与筛选结果，涵盖检索结果、初步相关性筛选结果、全文审阅摘录以及主题文章表格。Data(1).xlsx则包含用于分析的整合数据集，其中涵盖企业合规研究的综合语料库，以及关于区块链、透明度、可审计性与公司治理的配套语料库。 各电子表格中包含的字段涵盖文献元数据与分析描述项，具体包括论文标题、发表年份、出版物类型、期刊或出版物名称、作者姓名、数字对象标识符 (DOI)、可用时的PDF链接、开放获取状态、被引频次、谷歌学术 (Google Scholar) 标识符、摘要、相关性注释、TL;DR摘要以及相关摘录。这些数据经过整理，旨在助力论文筛选、主题分类、对比分析以及文献计量学解读。 本数据集旨在提升研究透明度、保障可重复性并支持二次分析。其可服务于从事企业合规、舞弊预防、公司治理、区块链赋能的透明度建设、审计质量、监管有效性以及文献计量方法研究的科研人员。本次提供的文件不包含个人敏感数据或人类受试者相关数据。由于数据提取与筛选阶段的源数据可用性限制，DOI、被引频次、摘要、出版物名称或发表年份等字段可能存在缺失值。