gxceed
GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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.

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Topic: #Supply Chain (clear)

Showing 101–120 of 141 papers

🇺🇸 USA📚 Peer-reviewed · JournalIEEE transactions on engineering management2026#Supply ChainDOI

Can Firms’ Anti-Slavery and Human Rights Commitments in Supply Chains Enhance Financial Performance?

O. Tosun, M. Lotfi, Reza Zanjirani Farahani

Using panel data from 354 US-listed firms (2002-2020), this study investigates how anti-slavery and human rights commitments affect financial performance. Stronger commitments are associated with a 5.8% increase in annual stock returns, esp…

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🌍 Global📚 Peer-reviewed · JournalSustainability2026#Supply ChainDOI

Leveraging AI to Build Agile and Resilient Healthcare Supply Chains for Sustainable Performance: A Systematic Scoping Review and Future Directions

Senthilkumar Thiyagarajan, E. Cudney, Pranay Chimmani +2

This systematic review analyzes how AI enhances agility, resilience, and sustainable performance in healthcare supply chains (HSCs). Three thematic clusters emerge: sustainability-oriented design, disruption/resilience management, and digit…

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📚 Peer-reviewed · JournalJournal of Hunan University Natural Sciences2026#Supply ChainDOI

Investigating Sustainable Food Business Ecosystems: A Cluster Analysis

S. Bukhori

This study investigates sustainable food ecosystems in Indonesia using cluster analysis, identifying three types: knowledge-based innovative, balanced sustainability-oriented, and sustainability-committed with limited knowledge transfer. It…

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🌍 Global📚 Peer-reviewed · JournalLogistics Supply Chain Sustainability and Global Challenges2026#Supply ChainDOI

Climate Change Impacts’ Mitigation Strategies in Sustainable Supply Chain Management and Pragmatism of Data Envelopment Analysis and Malmquist Index in its Measurement

Mohsen Malekalketab Khiabani, Wan Khairuzzaman Wan Ismail, Farhad Ebrahimi

This review systematically synthesizes literature on mitigation strategies in sustainable supply chain management (SSCM), focusing on Data Envelopment Analysis (DEA) and Malmquist Index (MI) for assessing eco-efficiency. It identifies four …

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PreprintTạp chí Kinh tế - Luật và Ngân hàng2025#Supply ChainDOI

Promoting sustainable development in the Vietnam textile and garment industry through green investment strategies in enterprises

Thị Vân Anh Phạm, Thu Hà Nguyễn, Thanh Thu Trần

This paper analyzes the need for Vietnam's textile and garment industry to shift towards sustainable development through green investments and green finance in response to the government's 2050 Net Zero target. Based on surveys and public d…

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🌍 GlobalDatasetZenodo (CERN European Organization for Nuclear Research)2026#Supply ChainDOI

EU-Asia Green Energy Supply Chain (2020-2025)

Mohamed H. Abdelaziz

This dataset models the EU's reliance on Asian manufacturing for green energy transition, capturing the intersection of supply chain logistics, economic indicators, and environmental policies. It includes high-frequency time-series data on …

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🇺🇸 USAConferenceProceedings of the 2026 REMADE® Circular Economy Technology Summit & Conference2026#Supply ChainDOI

Multi-period Optimization of Multi-agent Circular Economy Networks: Application to Single-use PET Plastics & Polyester Textiles

Daniel Pert, A. Torres

This study proposes a multi-period optimization framework for multi-agent circular economy (CE) networks, applied to the PET packaging and polyester textile value chain. It combines LCA with planetary boundaries to analyze trade-offs betwee…

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CNConferenceProceedings of the 2026 International Conference on Artificial Intelligence and Fintech2026#Supply ChainDOI

Supply-Chain Carbon Risk Exposure and Downstream Firms’ Low-Carbon Transition under China's Emissions Trading Scheme

Lin Sun, Jun Zeng

This paper reframes ETS-driven supply-chain carbon risk transmission as an AI decision-support problem. It proposes an end-to-end pipeline integrating a temporal supplier-buyer graph, NLP-based quantification of low-carbon clauses in procur…

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