Metaverse and sustainability: an overview of research trends and future directions
メタバースとサステナビリティ:研究動向と将来の方向性の概要 (AI 翻訳)
Sarika Jain, Preeti Sharma
🤖 gxceed AI 要約
日本語
この論文は、メタバースとサステナビリティに関する研究をレビューし、国連SDGsとの関連を分析した。2004~2024年の72論文を対象に文献計量分析とTCCMフレームワークを用いて、技術統合、スマートシティ、教育・組織のDX、将来研究の4クラスターに分類。メタバースがSDGs(例:気候リスクシミュレーション、エネルギー効率の高いスマートシティ)やESGに貢献する可能性を示す一方、データプライバシーやアルゴリズムバイアス、エネルギー消費などのリスクも指摘。
English
This paper reviews literature on metaverse and sustainability, linking to UN SDGs, using bibliometric analysis and TCCM framework on 72 articles (2004-2024). It categorizes research into four clusters: tech integration, smart cities, digital transformation, and future directions. The study highlights metaverse potential for advancing SDGs (e.g., climate risk simulation, smart energy-efficient cities) and ESG outcomes, while noting risks like data privacy, algorithmic bias, and energy consumption.
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、メタバースとESGの関連性はまだ議論が少ないが、本レビューは今後の研究や政策的検討の基盤となる。特に、スマートシティや教育分野でのメタバース活用がSSBJ開示や統合報告に対応する可能性に留意すべき。
In the global GX context
Internationally, this review provides a structured mapping of metaverse-sustainability research, aligning with ISSB's focus on emerging technologies in sustainability reporting. It underscores governance and institutional factors, relevant for CSRD and SEC climate disclosure contexts.
👥 読者別の含意
🔬研究者:Researchers can use this paper's cluster analysis and future research agenda to identify gaps in metaverse sustainability studies.
🏢実務担当者:Corporate sustainability teams can explore metaverse applications for ESG reporting, such as digital twins for supply chain transparency.
🏛政策担当者:Policymakers should consider this paper's governance recommendations when regulating metaverse to ensure sustainability alignment.
📄 Abstract(原文)
This study aims to present a review and analysis of research on metaverse and Sustainability, also reflecting its connection to the United Nations (UN) Sustainable Development Goals (SDGs). A bibliometric and TCCM (Theory-Context-Characteristics-Methodology) mapping using the SPAR-4-SLR protocol of 72 journal articles indexed in Scopus published over 2004–2024 was conducted. The study presents an integrative review of research on the metaverse–sustainability nexus. By categorising current research into four leading clusters (Technology Integration for Sustainable Systems across Sectors; Sustainable Urban Development and Smart Cities; Digital Transformation in Education and Organisations; Future Research and Emerging Areas in Digital Innovation), reframing sustainability as a construct reliant on governance and institutions rather than technology, mapping studies against SDGs and environmental, social and corporate governance (ESG) factors, and proposing a comprehensive agenda for future research, this study organises what has previously been a disparate field, both synthesising current literature and pointing to future directions for theory building and empirical research. Articles published in SCOPUS-indexed journals between January 2004 and September 2024 were only considered, which poses a key limitation for the study. The UN’s SDGs could be advanced through metaverse applications ranging from immersive learning experiences (Goal 4) to simulating climate risk exposure and creating digital twins of smart energy-efficient cities (Goals 9, 11 and 13). For businesses, extended reality, artificial intelligence and blockchain can improve ESG outcomes such as traceability, sustainable supply chains and waste reduction. But risks around data privacy, algorithmic bias, energy consumption and governance must be managed by policymakers. Furthermore, by embedding low-carbon technologies, transparent institutions and participatory governance into the metaverse from the outset, this study can avoid reducing digital inequities. This review provides an intellectual mapping of the field, along with a critical assessment of its alignment with sustainability and the SDGs using the TCCM Framework.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1108/jices-10-2025-0299first seen 2026-06-23 06:19:55
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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。