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.
Showing 101–120 of 991 papers
Nada Sahlab, Hossein Rimaz, Prerna Juhlin +2
This study explores the use of Asset Administration Shell (AAS) and knowledge graphs to incorporate sustainability criteria in early product design. An EPD submodel is represented in RDF, enabling direct comparison of environmental indicato…
Paula Marielle Ababao, Ian B. Benitez, Gabriel Avelino Sampedro
This study proposes a blockchain-integrated circular economy framework to enhance lifecycle tracking and emissions reporting for maritime ICT and energy materials. It combines Digital Product Passports, IoT telemetry, and smart contracts to…
Jochen Deuse, David Wagstyl, Victor Hernandez Moreno +3
This paper explores how green digital twins contribute to sustainable industrial production across the product life cycle. It highlights opportunities and challenges in revealing emissions and constructing green digital twins for various pu…
Linda Eckert, Ann-Sophie Finner, Daniel Heinz +1
This study uses backcasting to envision a circular automotive industry by 2050, aligned with the European Green Deal. It examines how digital technologies like AI, digital twins, and product passports enhance data sharing, traceability, and…
Hans-Dieter Wehle
This chapter examines how AI-enhanced Digital Product Passports (DPPs) can support ESG transparency in Industry 5.0. It proposes a modular software architecture combining machine learning for carbon forecasting, anomaly detection, and impac…
Fatemeh Stodt, Nicolai Maisch, Philipp Ruf +3
This paper proposes a blockchain-based concept for Digital Product Passports (DPP) to enhance sustainability in EU supply chains. It combines Secret Network and Gaia-X to enable secure, confidential sharing of carbon footprint and material …
Jérome Dierickx
The TRUSTEX project develops interoperable digital infrastructures for Digital Product Passports (DPPs) in textiles, addressing fragmented supply chains and lack of standards. It leverages PCDS (ISO 59040) and combines AI-driven data valida…
Anastasiia Belova, Artem Revenko, Viola Gallina +2
This paper analyzes requirements for the EU's Digital Product Passport (DPP) system, focusing on the role of knowledge graphs and data spaces in tracking product carbon footprints. It emphasizes the need for accessible and affordable techno…
Tobias Ströher
This cumulative dissertation investigates how digital MRV (Measuring, Reporting, and Verification) can transform GHG emissions management within and across organizations, drawing on AI, data spaces, digital identities, and distributed ledge…
Chuan Chen, Huanhuan Ren, Chen Liu +6
To address data fragmentation and inaccuracy in carbon footprint accounting for EV traction batteries, a trusted data space architecture was developed, improving data integration efficiency by over 65% and reducing accounting error from 18%…
「European Green Strategic Development Committee, 「European Green Strategic Development Committee
Reports iterative development of a carbon removal system to V8.0. Fully rewrites reaction database, kinetics, byproduct prediction, spectral/imaging detection, risk assessment, and strategy learning; adds new modules for atmospheric diffusi…
(著者不明)
This paper proposes an accessible carbon accounting framework for SMEs, integrating simplified emission tracking, cloud-based data management, and modular reporting templates. Machine learning enhances data accuracy, reducing reporting cost…
Reza Kiani Mavi, Majid Semiari, Seyed Ashkan Hosseini Shekarabi +4
This study develops an integrated optimization framework for designing a sustainable three-echelon food supply chain (suppliers, manufacturer, retailers), minimizing cost and carbon emissions while maximizing certified green output. Governm…
Danhui Lai, Zhang Zeqi, Yingjie Li +2
This paper applies the FP-Growth association rule algorithm to product carbon footprint (CFP) certification data sharing and tracing, extracting emission-related rules across supply chain nodes. Compared with the Apriori method, it reduces …
Y.S. Cho, Arbind Agrahari Baniya, Kieran Murphy
This study proposes a traceability framework for horticulture using global data standards to capture on-farm events with decentralized identification and secure sharing. Tested on Victorian farms and an international export pilot, it suppor…
Haya R. Hasan, Khaled Salah, Ahmad Mayyas +4
This paper proposes a decentralized blockchain-based digital passport for EV batteries using composable NFTs, ensuring traceability and tamper-proof records across the supply chain. It evaluates four cathode chemistries using ten sustainabi…
Tao Wang, Yang Shen
Using panel data of Chinese A-share listed firms (2013-2023) and double machine learning, this study finds that supply chain digitalization (SCD) significantly improves enterprise green transformation performance (EGTP). Effects are stronge…
Lukas Nagel, Rainer Gerstbauer, Levon Harutyunyan +3
This paper proposes a data-provision method to predict carbon footprints across supply chains during the strategic planning stage of product development, aligning with EU climate neutrality goals. Leveraging the Gaia-X data infrastructure, …
Zhouhui Zhang, xinyu Liu, Xin‐Rong Zhang
This paper addresses energy consumption and environmental issues in agricultural cold chains, proposing AI and IoT for energy saving and low-carbon operations. It notes refrigeration accounts for ~80% of energy use and cold transport emits …
Xinyue Hao, Emrah Demir
This study identifies triggers and inhibitors of AI adoption in supply chains using a PRISMA systematic review and thematic analysis under the ESG framework. Environmental triggers include waste and GHG reduction; social triggers include pr…
Browse by Topic