Author ORCID Identifier
Linda Sagnier Eckert: https://orcid.org/0009-0007-7927-0052
Ann-Sophie Finner: https://orcid.org/0000-0001-8421-2876
Daniel Heinz: https://orcid.org/0000-0003-0321-0989
Gerhard Satzger: https://orcid.org/0000-0001-8731-654X
Abstract
The automotive industry faces environmental challenges due to fossil fuel 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 such as AI, digital twins, and product passports to enhance data sharing, traceability, and decision-making across the supply chain. We examine how these technologies improve life cycle management of electric vehicles, enhance circularity in design and manufacturing, and ensure transparency from production to end of life. While these technologies extend product life cycles and minimize waste, transitioning toward 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 toward 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.
DOI
10.17705/1CAIS.05835
Recommended Citation
Sagnier Eckert, L., Finner, A., Heinz, D., & Satzger, G. (In press). Backcasting the Future of the Automotive Industry: Leveraging Digital Technologies for the Circular Economy. Communications of the Association for Information Systems, 58, 878-912. https://doi.org/10.17705/1CAIS.05835
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