Backcasting the Future of the Automotive Industry: Leveraging Digital Technologies for the Circular Economy
自動車産業の未来をバックキャスティングする：循環経済のためのデジタル技術活用 (AI 翻訳)
Linda Eckert, Ann-Sophie Finner, Daniel Heinz, Gerhard Satzger
🤖 gxceed AI 要約
日本語
本研究は、2050年までに循環型自動車産業を実現するためのバックキャスティング手法を用いた展望を示す。AI、デジタルツイン、製品パスポートなどのデジタル技術が、サプライチェーン全体のデータ共有とトレーサビリティを向上させ、EVのライフサイクル管理や設計・製造の循環性を高めることを検討する。ステークホルダーとの協働により、現状から循環型未来への移行経路を開発し、情報システムと循環経済研究の橋渡しを目指す。
English
This study uses backcasting to envision a circular automotive industry by 2050, aligned with the European Green Deal. It examines how digital technologies like AI, digital twins, and product passports enhance data sharing, traceability, and lifecycle management of EVs, promoting circularity in design and manufacturing. By engaging stakeholders, it develops a transition pathway and recommends policy interventions and cooperative frameworks to enable the shift.
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
日本の自動車産業は欧州の循環経済規制やバッテリー規制への対応が急務であり、本研究成果はデジタル技術を活用した循環型サプライチェーン構築の示唆を与える。特に、製品パスポートやデータ共有の枠組みは、日本企業の国際競争力維持に重要である。
In the global GX context
This research aligns with global circular economy and digitalization trends, offering insights for automotive supply chains facing EU regulations like the Digital Product Passport. It contributes to the intersection of information systems and CE research, providing actionable strategies for stakeholders aiming to implement sustainable practices.
👥 読者別の含意
🔬研究者:Provides a framework for integrating digital technologies into circular economy transitions, bridging IS and CE research.
🏢実務担当者:Offers actionable strategies for automotive companies to leverage AI and digital twins for circularity and compliance.
🏛政策担当者:Highlights the need for collaborative platforms and policy interventions to enable circular transitions.
📄 Abstract（原文）
The automotive industry faces environmental challenges due to fossil fuels reliance and linear production models. Transitioning to a circular economy (CE) is essential for reducing emissions and achieving sustainability. This study uses backcasting to envision a circular automotive industry by 2050, aligned with the European Green Deal’s carbon neutrality objectives. Our envisioned future leverages digital technologies like AI, digital twins, and product passports to enhance data sharing, traceability, and decision making across the supply chain. We examine how these technologies improve lifecycle management of electric vehicles, enhance circularity in design and manufacturing, and ensure transparency from production to end-of-life. While these technologies extend product lifecycles and minimize waste, transitioning towards circularity presents challenges such as data sharing, emphasizing the need for collaborative industry platforms. By engaging key stakeholders, we developed a pathway from the current state to the envisioned circular future. Focusing on CE principles, the study seeks to foster a systemic shift towards circularity, bridging the gap between information systems and CE research. Strategic policy interventions and cooperative frameworks are recommended to enable the transition. The paper contributes insights into digitalization’s impact on CE, providing actionable strategies for industry stakeholders aiming to implement sustainable practices amid global resource constraints.
🔗 Provenance — このレコードを発見したソース
- openalex https://aisel.aisnet.org/cais/vol58/iss1/30first seen 2026-08-02 19:27:45
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