INTEGRATING ARTIFICIAL INTELLIGENCE, BIG DATA, AND FINTECH INNOVATIONS IN SUSTAINABILITY REPORTING: A QUANTITATIVE ANALYSIS OF ESG DISCLOSURE AND CORPORATE TRANSPARENCY
人工知能、ビッグデータ、フィンテック・イノベーションの統合によるサステナビリティ報告:ESG開示と企業透明性の定量分析 (AI 翻訳)
A. Sunitha, K. Srinivas, T.Radhika, B.Chandrakala Naik, P. Sandya Rani
🤖 gxceed AI 要約
日本語
AI、ビッグデータ、フィンテックがESG報告の質と企業透明性に与える影響を、312名の専門家調査とPLS-SEMで検証。デジタル技術採用は報告品質と透明性を高め、透明性がESGパフォーマンスの媒介要因となることを示した。企業規模がAIとESG成果の関係を調整する。GRI、IFRS S1/S2、CSRD等の新興基準に対応。
English
This study examines how AI, big data analytics, and FinTech innovations affect ESG disclosure quality and corporate transparency, using survey data from 312 professionals in India, UAE, and UK, analyzed via PLS-SEM. Results show all three digital constructs positively impact sustainability reporting quality and transparency, with transparency mediating ESG performance. Firm size moderates the AI-ESG link. Practical implications for GRI, IFRS S1/S2, and CSRD compliance.
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
日本ではSSBJ基準への対応が進む中、AIやFinTechを活用したESG開示の質向上は実務上の関心が高い。本論文はインド・UAE・英国のデータに基づくが、日本の企業・規制当局にとってもデジタル技術と開示の連携を示唆する。
In the global GX context
This paper contributes to the global discourse on digital transformation in ESG reporting, aligning with ISSB (IFRS S1/S2) and CSRD requirements. It empirically validates the role of AI, big data, and FinTech in improving disclosure quality and transparency, offering evidence for regulators and standard-setters. The cross-country sample adds generalizability.
👥 読者別の含意
🔬研究者:Provides an integrated model of AI, big data, and FinTech impact on ESG disclosure, with mediation and moderation effects, useful for future research.
🏢実務担当者:Highlights how adopting AI and data analytics can improve ESG reporting quality and transparency, aiding compliance with emerging standards like CSRD and IFRS S1/S2.
🏛政策担当者:Offers empirical evidence on digital tools enhancing corporate transparency, supporting regulatory efforts to mandate or encourage technology use in ESG reporting.
📄 Abstract(原文)
The convergence of artificial intelligence (AI), big data analytics, and financial technology (FinTech) with environmental, social, and governance (ESG) reporting is one of the most impactful processes in the modern corporate governance. Although these three forces of digital have increasingly been the focus of scholarly and regulatory attention, their combined and interactive impacts on ESG disclosure quality and corporate transparency are yet to be explored empirically. This paper proposes and validates a theoretically based structural design that looks into the impact of AI and business analytics adoption, big data potential, and FinTech innovation on the quality of sustainability reporting, corporate transparency, and ESG performance in a cross-sectional sample of 312 sustainability and finance professionals that are based in firms located in India, the United Arab Emirates, and the United Kingdom. The study is based on Resource-Based View (RBV), Stakeholder Theory, and Signaling Theory and uses Partial Least Squares Structural Equation Modelling (PLS-SEM) which shows that all three digital constructs have valuable positive impacts on the quality of sustainability reporting and corporate transparency. Corporate transparency is also established as a strong mediator between the digital technology adoption and the ESG performance. The introduction of firm size as a modulating condition of the relationship between the adoption of AI and ESG results. Its results are part of an emerging body of interdisciplinary work related to digital finance, management information systems, and sustainability governance providing practical implications to corporate managers and regulators, as well as developers of FinTech products working within emerging ESG requirements such as GRI, IFRS S1/S2, and the EU Corporate Sustainability Reporting Directive (CSRD).
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20600674first seen 2026-06-10 05:00:26
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。