TINJAUAN SISTEMATIS PERAN KECERDASAN BUATAN DALAM PENGUATAN KUALITAS PENGUNGKAPAN ESG DAN KONSTRUK AUTENTISITAS, KEPERCAYAAN, SERTA LOYALITAS KONSUMEN DI PASAR EMERGING
新興市場におけるESG開示の品質向上と真正性・信頼・消費者ロイヤルティ構築における人工知能の役割に関する系統的レビュー (AI 翻訳)
Boni Benyamino Lumban Tobing
🤖 gxceed AI 要約
日本語
本系統的レビューは、AIがESG開示の精度・透明性・信頼性を強化する役割を35のScopus査読論文から分析。AIによる異常検知・自動処理・検証可能性向上がグリーンウォッシュを抑制し、真正性と消費者信頼・ロイヤルティに正の影響を与える5つのテーマを特定。新興市場でのAIガバナンスと倫理のギャップも指摘。
English
This systematic review of 35 peer-reviewed Scopus articles examines AI's role in enhancing ESG disclosure quality and transparency. It identifies five themes: AI improves accuracy, detects greenwashing, boosts perceived authenticity, strengthens stakeholder trust, and positively influences consumer loyalty. Gaps in AI governance and ethics in emerging markets are highlighted.
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や有報の任意開示が進む中、AIを活用したESGデータの品質管理やグリーンウォッシュ防止は実務上重要。本レビューは、日本企業がAIを開示に導入する際の理論的枠組みを提供する。
In the global GX context
Globally, as regulators like ISSB and SEC push for stringent ESG disclosures, AI offers tools for anomaly detection and greenwashing mitigation. This paper synthesizes evidence on how AI can enhance disclosure credibility, which is critical for building stakeholder trust in sustainability communications.
👥 読者別の含意
🔬研究者:Provides a conceptual synthesis and identifies research gaps on AI-ESG nexus, especially in emerging contexts.
🏢実務担当者:Highlights how AI can improve ESG data accuracy and detect greenwashing, useful for corporate sustainability teams.
🏛政策担当者:Offers insights on how AI can support regulatory oversight of ESG disclosures, relevant for disclosure framework designers.
📄 Abstract（原文）
This systematic literature review examines the evolving role of Artificial Intelligence (AI) in strengthening the quality, transparency, and credibility of Environmental, Social, and Governance (ESG) disclosures in contemporary sustainability reporting. Drawing on 35 peer-reviewed Scopus Q1/Q2 articles published between 2020 and 2025, the review synthesizes current evidence on how AI supports anomaly detection, automates data processing, enhances verifiability, and mitigates greenwashing practices. The findings reveal five major thematic insights: (1) AI substantially improves the accuracy and consistency of ESG disclosure; (2) AI-enabled linguistic and anomaly-based models are effective in detecting misleading sustainability claims; (3) digital transparency supported by AI strengthens perceived authenticity of corporate sustainability efforts; (4) the credibility of AI-processed ESG information enhances stakeholder trust by reducing informational risk; and (5) AI-enhanced authenticity and trust positively influence consumer responses, including green attitudes, loyalty, and sustainable purchase intentions. This study highlights persistent gaps in the integration of AI governance, ethics, and cross-market applications, especially in emerging economies. The review contributes an evidence-based conceptual synthesis for understanding the mechanisms through which AI reinforces sustainability communication and suggests directions for future empirical research. Keywords: Artificial Intelligence; ESG Disclosure; Greenwashing Detection; Authenticity; Stakeholder Trust
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.29040/jie.v9i4.18714first seen 2026-05-14 22:15:05
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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。