The Nexus Between Digital Finance, Automation, Environmental, Social, and Governance (ESG) Objectives: Evidence Based on a Bibliometric Analysis
デジタルファイナンス、自動化、ESG目標の連関:計量書誌分析に基づく証拠 (AI 翻訳)
Oana-Alexandra Dragomirescu, G. Grigore, Ana-Ramona Bologa
🤖 gxceed AI 要約
日本語
本研究は、1974年から2026年までの16,500件の科学論文を対象に、デジタルファイナンス、自動化、ESG目標の関連性を計量書誌分析した。年平均3.80%の成長が見られ、国際共著が増加。共起ネットワーク分析により、ESGパフォーマンス、CSR、財務実績、持続可能な発展などのクラスターを特定。自動化が財務・環境・社会パフォーマンスに与える役割に関する研究の方向性を示す。
English
This bibliometric analysis examines 16,500 articles (1974-2026) on the nexus between digital finance, automation, and ESG objectives. It finds an average annual publication growth of 3.80% and increasing international collaboration. Co-occurrence analysis reveals five clusters linking ESG performance, CSR, financial performance, sustainable development, and automation implications. The study provides insights for future research on automation's role in financial and ESG outcomes.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本論文はESGと自動化の研究動向を俯瞰するが、日本の開示制度(SSBJなど)に直接的な示唆はない。ただし、ESG目標達成における自動化の役割を理解するための基礎資料として有用。
In the global GX context
This paper offers a bibliometric overview of the intersection of digital finance, automation, and ESG. While not focused on specific climate disclosure frameworks, it maps the research landscape, which can inform future studies on how automation supports ESG objectives. It lacks empirical depth but provides a broad perspective.
👥 読者別の含意
🔬研究者:This bibliometric mapping identifies key clusters and trends at the nexus of digital finance, automation, and ESG, offering a foundation for future research directions.
🏢実務担当者:Provides an overview of research trends that could inform corporate strategy on digital finance and ESG integration.
📄 Abstract(原文)
The main purpose of this study was to conduct a bibliometric analysis of scientific knowledge and trends in modern finance. To this end, the analysis was based on the keywords: “finance”, “automation”, and “ESG”. The analysis aimed to provide theoretical insights into the economic and financial implications of automation and its role in achieving ESG objectives. From a methodological standpoint, bibliometric research was conducted on 21 September 2025. It involved analysing a total of 16,500 scientific articles published between 1974 and 2026 in two databases: The Web of Science Core Collection and Scopus. The Bibliometrix R 5.2.0 version tool was used to generate visualisations. Thematic mapping, three-field plotting, keyword mapping, and clustering were the main methods used to analyse the associations between finance, automation, and ESG principles. The study’s results showed an average annual increase in publications of approximately 3.80% and 2.50%, respectively, while international collaborations between researchers have become increasingly prominent in recent years. At the same time, the co-occurrence network analysis identified five key thematic clusters in the Web of Science Core Collection and three in Scopus. From a comparative perspective, these clusters highlight the most significant connections between environmental, social, and governance (ESG) performance, corporate social responsibility (CSR) impact, financial performance, economic growth, sustainable development, and the implications of the automation process. From a bibliometric point of view, this research contributes to a better understanding of the multiple digital transformations specific to the current financial framework, generating possible future research directions on the significant role of automation in financial, environmental, and social performance. Furthermore, automation is a critical component of the digital future of finance. Analysing and investigating the causal relationships between automation and Environmental, Social, and Governance (ESG) principles will necessitate new areas of study within the financial sphere.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/info17020132first seen 2026-05-15 21:42:01 · last seen 2026-06-16 05:19:09
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