Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity
人工知能主導のデジタル実践による循環型ビジネスと金融：サーキュラリティのハブ推進への洞察 (AI 翻訳)
Aditya Tripathi, M. Machado, L. Spierdijk, D. Yazan
🤖 gxceed AI 要約
日本語
本研究は、循環型ハブ（H4Cs）の実現に向けて、循環型ビジネスモデル、産業共生、エコ工業団地、閉ループサプライチェーンに関する文献を体系的にレビューした。AIやデジタル技術が運用効率やリスク低減、財務意思決定を支援する可能性を整理し、価値創造フレームワークと4段階の移行経路を提案している。
English
This systematic literature review synthesizes insights from circular business models, industrial symbiosis, eco-industrial parks, and closed-loop supply chains to inform the development of Hubs for Circularity (H4Cs). It highlights the role of AI and digitalization in improving operational efficiency, risk reduction, and financial decision-making, and proposes a value creation framework and four-phase transition pathway.
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
日本でもサーキュラーエコノミー推進の動きがあるが、GXとの直接的連携は限定的。本論文はAI活用による循環型ビジネスの効率化を論じており、日本企業のDX/GX統合戦略に示唆を与える。
In the global GX context
While the circular economy is gaining traction globally, this paper connects it with AI-driven digital practices, which is relevant for the EU's Circular Economy Action Plan and corporate sustainability strategies. It provides a framework for operationalizing circular hubs that could inform ISSB and transition finance discussions.
👥 読者別の含意
🔬研究者:GX researchers can leverage the proposed framework for studying AI-enhanced circular strategies and their impact on resource efficiency.
🏢実務担当者:Corporate sustainability teams can use the findings to design AI-supported circular business models and assess digital tools for closed-loop supply chains.
🏛政策担当者:Policymakers can consider the enabling conditions identified to foster circular hubs and integrate digitalization into industrial policy.
📄 Abstract（原文）
The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges. To inform the development of H4Cs, this study conducts a systematic literature review (SLR) of circular business models (CBMs) as implemented in industrial symbiosis (IS) networks, eco‐industrial parks (EIPs) and closed‐loop supply chains—contexts where CBMs have been actively studied and deployed. We synthesise insights on value creation strategies, stakeholder roles, digital technologies and financial mechanisms in these existing settings. Particular focus is given to the role of artificial intelligence (AI) and digitalisation in supporting operational efficiency, risk reduction and financial decision‐making. Findings identify a set of enabling conditions and technological levers that can guide the financial and business model design of H4Cs. This study also proposes a value creation framework and a four‐phase transition pathway that support future implementation of H4Cs through informed application of AI‐enhanced circular strategies.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1002/bse.70845first seen 2026-05-15 21:51:18
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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。