GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.

The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.

Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.

📊 SNE Research Profile →🔬 Researcher API →About gxceed →🇯🇵 日本語版
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Showing 6881–6900 of 33283 papers

Preprint🌍 GlobalCrossref2026#SBT/SBTiDOI

Attending to the Supply Chain: Science-based Climate Commitments

William Diebel, Robert D. Klassen

For large firms, most emissions occur in supply chains, yet few commit to SBTi. Using an attention-based view, this study argues supply chain operations create attentional structures that shape commitment to Scope 3 targets. Analyzing 13,66…

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Peer-reviewed🇯🇵 JapanJournalJ-STAGE#Disclosure InfrastructureDOI

Research on the Disclosure Practices of Sustainability-Oriented Research and Development

サステナビリティ配慮型研究開発の開示実態に関する研究

(著者不明)

This paper investigates the disclosure practices of sustainability-oriented research and development (R&D) by companies. While specific methodology and findings are unclear, it aims to analyze how firms disclose their sustainability-related…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI

AI-based ESG Evaluation and Risk

AIによるESG評価とリスク

(著者不明)

This paper addresses AI-based ESG evaluation and risk analysis. Although details are unavailable, it focuses on the intersection of AI and ESG, applicable to corporate sustainability assessment and climate risk quantification.

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