Governance and Digital Technologies for Carbon Data Quality: A Systematic Review of Procurement-Driven Decarbonization in Construction Supply Chains
炭素データ品質のためのガバナンスとデジタル技術：建設サプライチェーンにおける調達主導型脱炭素化の系統的レビュー (AI 翻訳)
Cen-Ying Lee, Dane Miller, Marcus Jefferies, Yongshun Xu, Heap-Yih Chong, Wing Chi Tsang, Steve Rowlinson, Martin Skitmore
🤖 gxceed AI 要約
日本語
本レビューは、建設サプライチェーンにおける調達主導型脱炭素化（PDD）のデータ品質課題を整理。ガバナンスとデジタル技術の役割を明確にし、国際標準に準拠した具体的な措置（EN規格、ISO 14083、IFCなど）を提案する。68件の研究を統合し、精度向上には保証、タイムリー性には情報管理基準、アクセシビリティには早期の利害関係者関与が有効と結論づける。
English
This systematic review of 68 studies examines how governance mechanisms and digital technologies can improve carbon data quality in procurement-driven decarbonization of construction supply chains. It identifies a division of labor: standardized governance enhances completeness and consistency, while digital tools improve accessibility and timeliness. The review proposes concrete measures including EN-aligned scope definitions, ISO 14083 logistics accounting, IFC/LOIN information requirements, selective assurance, and integrated MRV systems with AI and blockchain.
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
日本ではSSBJ基準に基づくScope3報告の義務化が進む中、建設サプライチェーン全体のデータ品質向上は喫緊の課題。本レビューは、日本の建設業界が調達プロセスを通じて信頼性の高い炭素データを確保するための実践的枠組みを提供する。
In the global GX context
As global frameworks like ISSB and CSRD increasingly require Scope 3 disclosures, this review offers a systematic approach to data quality challenges in construction supply chains. The proposed governance-technology integration provides a roadmap for firms and regulators to achieve comparable and verifiable carbon data, supporting credible transition finance and procurement decisions.
👥 読者別の含意
🔬研究者:Provides a structured synthesis of governance and digital technology roles for carbon data quality, identifying research gaps and future directions for supply chain decarbonization.
🏢実務担当者:Offers actionable measures (e.g., EN-aligned scope, ISO 14083, IFC/LOIN, selective assurance) to improve carbon data reliability in procurement processes.
🏛政策担当者:Highlights the need for standardized data quality rules and digital MRV systems to enforce Scope 3 reporting and support low-carbon procurement policies.
📄 Abstract（原文）
Scope-3 emissions from construction supply chains (CSCs) account for the majority of the construction sector’s greenhouse gas (GHG) footprint. However, procurement-driven decarbonization (PDD) remains constrained by persistent data quality (DQ) deficits, including boundary divergence, limited verification, incomplete information, and fragmented interoperability. This PRISMA-guided systematic literature review (SLR) synthesizes 68 studies to examine how governance mechanisms (GMs) and digital technologies (DTs) can be co-designed within procurement workflows to improve the reliability of carbon data. By integrating quantitative matrix-based analysis, qualitative thematic coding, and a governance–technology pairing logic, the review identifies a division of labor across DQ dimensions. Standard-based governance and boundary rules strengthen completeness, consistency, and interpretability. At the same time, DTs enhance accessibility and timeliness and provide targeted improvements in accuracy and logical coherence when embedded within structured schemas. Assurance emerges as the most reliable mechanism for accuracy, information-management standards for timeliness, and early stakeholder involvement for accessibility. These insights translate into procurement-oriented measures, including European Standard (EN)-aligned scope definitions; ISO 14083-aligned logistics accounting; Industry Foundation Classes (IFC)/Level of Information Need (LOIN)-based information requirements; selective assurance; uncertainty-aware disclosure; and integrated digital measurement, reporting, and verification (MRV) systems combining Environmental Product Declaration (EPD) platforms, Artificial Intelligence (AI) validation, and blockchain. Collectively, these measures enable comparable, verifiable data and support scalable decarbonization.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3390/su18104921first seen 2026-05-15 17:05:22
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