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.
Peer-reviewedJournalInternational Dairy Journal2013#Supply ChainDOI
Tailpipe greenhouse gas emissions from tank trucks transporting raw milk from farms to processing plants
Ulrich R.
This study quantifies tailpipe GHG emissions from tank trucks transporting raw milk from farms to processing plants. It provides emission factors based on transport distance and vehicle characteristics, contributing to Scope 3 accounting in…
Peer-reviewedJournalSupply Chain Management2024#Supply ChainDOI
The relationship between information processing capabilities, Net-Zero capability and supply chain performance
Balci G.
This paper examines how information processing capabilities influence the development of net-zero capabilities and their subsequent impact on supply chain performance. Drawing on information processing theory, it argues that organizational …
Peer-reviewedJournalInternational Journal of the Analytic Hierarchy Process2026#Supply ChainDOI
MANAGING SUSTAINABILITY IMPROVEMENT OF THE TUNA COLD CHAIN THROUGH INTEGRATED PERFORMANCE MEASUREMENT USING SCOR DS, AHP, AND FUZZY AHP
Raden Tri Gunawan Wibowo, Marimin, Machfud +2
This study integrates sustainability performance evaluation of the tuna cold chain using SCOR DS, AHP, and fuzzy AHP. It combines metrics for fish catchers and agro-industry, finding performance levels of 74% and 69.99%, respectively, with …
Peer-reviewedJournalJournal of environmental chemical engineering2026#Supply ChainDOI
Mapping the carbon footprint uncertainty of power batteries: A probabilistic simulation based on 94,500 supply chain pathways
Junjie Chen, Xin Lai, Quanwei Chen +5
This study probabilistically simulates 94,500 supply chain pathways to map the uncertainty in carbon footprints of power batteries, identifying key variability drivers. Findings improve the accuracy of battery environmental assessments and …
Peer-reviewedCNJournalSustainability2026#Supply ChainDOI
Does Digital Finance Build a Sustainable Buffer? Exploring Its Impacts on Manufacturing Supply Chain Resilience
Baoyan Gao, Xiaolong Li, Chiwei Su +1
Using panel data of 21,060 Chinese manufacturing firm-year observations, this study finds that digital finance enhances supply chain resilience, promoting sustainable manufacturing development. Mechanisms include improved information transp…
Peer-reviewedJournalJournal of Textile Science and Technology2025#Supply ChainDOI
Data-Driven Frameworks for Circular and Traceable Banana Fibre Textiles: Opportunities and Challenges
Edwin Kamalha, Mackenzie Tuhirirwe, Ildephonse Nibikora
This review synthesizes research on banana fiber textiles, emphasizing traceability, circularity, and digital technologies like blockchain, IoT, and DPPs. Despite low environmental impact, fragmented supply chains and infrastructure gaps hi…
Journal2025#Supply ChainDOI
Blockchain-Enabled Product Passport for Transparent Tea Supply Chain
Y. S. I. De Silva, S. A. U. K. Suraweera, W. A. K. P. Piyasinghe +3
This paper proposes an integrated smart system for Sri Lankan tea plantations, combining IoT, digital twins, and carbon footprint tracking. It enables real-time monitoring, yield prediction, and product passports to optimize resources and r…
JournalWorld sustainability series2025#Supply ChainDOI
The Potential of Digital Product Passports as Data Providers for LCA—Data Mapping for Two Automotive Use Cases
Martin Popowicz, Nicolas J. Katzer, Antonia Pohlmann +3
This paper examines the potential of Digital Product Passports (DPP) as data providers for Life Cycle Assessment (LCA), using two automotive use cases. By mapping DPP data to LCA, it aims to improve efficiency and accuracy of environmental …
Peer-reviewedJournalIFAC-PapersOnLine2025#Supply ChainDOI
A Multiple Case Study Providing Insights Into Applying Digital Product Passport in Several Industries
Paul Kengfai Wan, Erica Linder, Emrah Arica +1
This study provides insights from three case studies implementing Digital Product Passports (DPP) in textiles, additive manufacturing, and manufacturing engineering. It highlights challenges such as data quality, standards, and IP rights, a…
Preprint🇺🇸 USAZenodo (CERN European Organization for Nuclear Research)2025#Supply ChainDOI
S M Nazmuz Sakib Gas-Mix Phase Number for Supply Chain Greenhouse Gas Emissions
Sakib, S M Nazmuz
Supply-chain GHG accounting aggregates gases into CO2e, hiding composition shifts. Using EPA 2022 data, this paper introduces the Sakib number, a KL-divergence-based index quantifying gas-mix divergence between margin and production phases.…
Journal2025#Supply ChainDOI
Transforming Green Value Chains
Punitha SRIDHARAN, Sangeetha ANANDAN
This chapter explores blockchain applications for sustainability, emission reduction, and ethical practices in supply chains. Blockchain's distributed, tamper-evident, and transparent nature can promote green value chains, but large-scale u…
Peer-reviewed🇨🇳 ChinaJournalDigital Collections of Colorado (Colorado State University)2019#Supply ChainDOI
Characterization of methane emissions from gathering compressor stations: final report
Daniel Zimmerle, Kristine Bennett, Timothy Vaughn +7
This DOE-funded study, led by Colorado State University and AECOM, measured methane emissions at 180 natural gas gathering stations across 11 U.S. states. It updated emission factors for components and major equipment, finding that national…
Peer-reviewedJournalProcedia CIRP2024#Supply ChainDOI
Greenhouse gas impact related to minerals mining and processing
Atieh Fahimi Bandpey, Saeed Rahimpour Golroudbary, Andrzej Krasławski
This study quantifies GHG emissions from mining and processing minerals for energy transition technologies using dynamic simulation under NZE, AP, and STEP scenarios. EVs, solar cells, transmission, heat pumps, and wind turbines have the hi…
Peer-reviewedJournalAdvances in Transportation and Logistics Research2018#Supply ChainDOI
Future Challanges in Transforming Jakarta as One of The Best Green House City in Asean Region
Hasrining Dwi Aryani Saputri, Muhammad Riaz Raja, Rayner Tan Wing Shin +2
This research focuses on sustainability strategies in supply chains and logistics in Indonesia, particularly on reducing greenhouse gas emissions. Based on literature review, it aims to share opinions on the relationship between green suppl…
Peer-reviewedJournalJournal of Macromarketing2022#Supply ChainDOI
Common Cause, coopetition or competition? Resource contestation in food waste recovery networks
Vimala Kunchamboo, Victoria Little, Stephanie Kay Ann Cheah
Food waste contributes to GHG emissions throughout the supply chain. This qualitative case study examines collaborative networks for recovering unwanted food, revealing that competition and conflicting interests among stakeholders can compr…
Peer-reviewedJournalIntelligent Automation & Soft Computing2022#Supply ChainDOI
Two-Stage Fuzzy MCDM for Green Supplier Selection in Steel Industry
Chia‐Nan Wang, Thi-Ly Nguyen, Thanh‐Tuan Dang
This paper proposes a hybrid FAHP-FTOPSIS model for green supplier selection in Vietnam's steel industry. It evaluates suppliers based on five criteria including environment, using fuzzy numbers to handle uncertainty, and identifies top thr…
Peer-reviewed🇨🇳 ChinaJournalSustainability2025#Supply ChainDOI
Multidimensional Risk Assessment in Sustainable Coal Supply Chains for China’s Low-Carbon Transition: An AHP-FCE Framework
Zhou Yang, Ming Guo, Junfang Hao +2
This study proposes a hybrid AHP-FCE framework to assess sustainability risks in China's coal supply chain. It develops a risk system with 8 primary and 40 sub-criteria, and empirically analyzes a major Chinese coal enterprise. The overall …
Journal2024#Supply ChainDOI
The Manufacturing Sector in Mauritius: Building Supply Chain Resilience and Business Value With Artificial Intelligence
Satyadev Rosunee, Roshan Unmar
This chapter discusses opportunities and hurdles of adopting AI and digital technologies in supply chain management for export-oriented manufacturing in Mauritius. It highlights how AI can enhance resilience, reduce greenhouse gas emissions…
Peer-reviewedJournalInternational Journal of Retail & Distribution Management2023#Supply ChainDOI
Predictable inventory management within dairy supply chain operations
Rosario Huerta-Soto, Edwin Ramirez-Asís, John Tarazona Jiménez +4
This study systematically reviews the application of machine learning (ML) to inventory management in dairy supply chains (DSC), showing that AI/ML methods are increasingly replacing traditional mathematical modeling. It emphasizes cost red…
Peer-reviewedJournalCleaner Logistics and Supply Chain2025#Supply ChainDOI
Green construction supply chain: Reviewingadvancements, obstacles, and possibilities
Himasai Kiran Reddy Durgam, Prasanna Venkatesan Ramani
This review analyzes the integration of circular economy principles in construction supply chains using a combined bibliometric and grounded theory approach. It identifies key challenges such as fragmentation, waste, and carbon emissions, a…