Bridging carbon data’s organizational boundaries: toward automated data sharing in sustainable supply chains
炭素データの組織境界を越えて：持続可能なサプライチェーンにおける自動データ共有に向けて (AI 翻訳)
Tobias Ströher, Marc-Fabian Körner, Felix Paetzold, Jens Strüker
🤖 gxceed AI 要約
日本語
本論文は、温室効果ガス排出量の算定（炭素会計）を組織内からサプライチェーン全体へ拡張するための自動化データ共有の枠組みを提示する。特に上流Scope3排出量が製造業の総排出量の最大80%を占める問題に着目し、デジタル技術の組み合わせが組織境界を越えたデータ共有を可能にし、サプライチェーン排出量の算定ギャップを埋めることを示す。さらに、持続可能性指標に基づくサプライチェーン管理の自動化基盤となり得ることを論じる。
English
This paper proposes a framework for automated data sharing to extend carbon accounting beyond organizational boundaries, addressing the Scope 3 emissions gap. It highlights that upstream Scope 3 emissions can account for up to 80% of total GHG emissions in manufacturing, and argues that combining digital technologies can enable automated data exchange, strengthening accounting practices and fostering digital supply chain ecosystems for sustainability-based management.
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
日本の企業は、SSBJ基準や有価証券報告書でのScope3開示が進む中、サプライチェーン全体の排出量データ収集に課題を抱える。本論文は、組織境界を越えた自動データ共有の枠組みを提供しており、日本企業のScope3対応やデジタルサプライチェーン構築に示唆を与える。
In the global GX context
With ISSB S2 and CSRD requiring Scope 3 disclosures, many companies struggle with data collection across supply chains. This framework for automated carbon data sharing offers a pathway to operationalize cross-organizational emissions accounting, supporting the development of digital supply chain ecosystems and closing the Scope 3 data gap.
👥 読者別の含意
🔬研究者:Highlights a conceptual framework for cross-boundary carbon data sharing that could be empirically tested and extended.
🏢実務担当者:Could inform IT and sustainability teams on how to design data-sharing infrastructures to automate Scope 3 data collection.
🏛政策担当者:Suggests that standards and incentives for interoperable carbon data exchange may help close the Scope 3 reporting gap.
📄 Abstract（原文）
Abstract The accounting of greenhouse gas (GHG) emissions is seen as an essential element to mitigate global climate change. Robust “carbon accounting’’ (CA) is supposed to enable the quantification of greenhouse gas (GHG) emissions and identification of reduction potential, thereby enabling CO2-adaptive decision-making for various stakeholders, including organizations and end-users. In this regard, digital technologies can not only improve the efficiency and accuracy of CA in various ways, but also support the effective sharing of carbon data along supply chains. However, the current use of digital technologies in CA practices is often limited to an intra-organizational perspective. Extending the application of digital technologies for automated data sharing beyond organizational boundaries appears promising for addressing supply chain emissions accounting and potentially closing today’s huge Scope 3 emissions accounting gap. This is especially relevant since upstream Scope 3 emissions can cause up to 80% of the total GHG emissions for most manufacturing industries. Furthermore, automated data sharing beyond organizational boundaries can provide the necessary foundation for fostering automation in supply chain management based on sustainability metrics. In this paper, we provide a comprehensive framework for automated data sharing in supply chains to support CA within and beyond organizations’ boundaries. Our findings suggest that the use of a combination of digital technologies can not only strengthen CA practices within organizations and their supply chain, but also foster the development of digital supply chain ecosystems, allowing automated sharing of data for a plethora of use cases.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s12525-025-00779-7first seen 2026-08-02 17:28:24 · last seen 2026-08-02 17:29:47
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