Governing CO2 Information: An Organisational and Data-Governance Model for Sustainable Procurement
CO2情報のガバナンス: 持続可能な調達のための組織的・データガバナンスモデル (AI 翻訳)
Lukas Büeck, L. Ritter
🤖 gxceed AI 要約
日本語
本レビューは、調達における炭素情報の未活用原因を分析し、それを解消するための組織的・データガバナンスモデルを提案。データ所有権、計算・検証の標準化、調達・サステナビリティ・技術部門間の調整、炭素指標の調達目標への組み込み等が鍵と結論づけている。
English
This review analyzes why carbon information remains unused in procurement and proposes an organisational and data-governance model to close the gap. Key factors include data ownership, harmonised calculation and verification standards, cross-functional coordination, and embedding carbon indicators into sourcing targets, suggesting that the obstacle is organisational rather than technical.
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
日本企業にとって、SSBJ基準に基づくスコープ3排出量開示が義務化に向かう中、調達における炭素情報のガバナンスモデルは実務上の喫緊の課題。本モデルは、データ品質と組織責任の明確化を両立する枠組みを提供する。
In the global GX context
As ISSB and CSRD drive scope 3 disclosure, this model fills a critical gap by addressing the organisational and data-governance barriers that prevent carbon information from influencing procurement decisions globally.
👥 読者別の含意
🔬研究者:The paper provides a layered model linking data governance, digital systems, decision models, and organisational structures that can guide empirical research on carbon information use in supply chains.
🏢実務担当者:Procurement and sustainability teams can apply the governance model to assign data ownership, set verification standards, and embed carbon targets into sourcing processes to reduce scope 3 emissions.
🏛政策担当者:Regulators developing scope 3 disclosure standards should note the emphasis on clear data ownership and harmonised calculation standards as prerequisites for reliable reported data.
📄 Abstract（原文）
Companies now collect more information about the greenhouse gas emissions of what they buy than ever before, yet much of it never shapes a purchasing decision. This review examined why carbon information so often remains unused in procurement and proposed an organisational and data-governance model to close the gap. A doctoral analysis of information processes in sustainable procurement was synthesised with open-access research published between 2021 and 2026, covering data governance, data ecosystems, sustainable procurement and supply-chain carbon accounting. Carbon information emerged as a layered system in which data, digital systems, decision models and organisational structures depend on one another, so that a weakness in any layer disables the rest. Two layers that practice neglects most received closest attention. At the data-governance layer, reliability rested on clear ownership of each figure, harmonised calculation and verification standards, and reporting arranged to protect data quality. The organisational layer demanded more: a deliberate balance between central and local control, standing coordination among procurement, sustainability and technical functions, carbon indicators built into sourcing targets, and staff able to interpret emissions figures. Evidence from public purchasing and from firm-level studies indicated that disciplined procurement governance measurably lowered emissions. The review concluded that the obstacle to acting on carbon information is organisational before it is technical, and that assigning responsibility and governance should precede further investment in measurement tools. Keywords: carbon information governance, data governance, sustainable procurement, organisational design, data ownership, scope 3 emissions, supplier carbon data
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.52403/ijrr.20260744first seen 2026-07-28 05:24:02
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