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 21–40 of 923 papers
Syed Quaid Ali Shah, Walid Cheffi, Muhammad Nurul Houqe +1
This study examines how corporate governance affects ESG disclosure in Saudi listed banks, with fintech adoption as a mediating channel. Using panel data from 2015-2024, it finds that stronger governance positively influences overall ESG di…
Durga Prasad Samontaray, Randheer Kokku, Najeeb Muhammad Nasir +1
This study examines the relationship between corporate FinTech disclosure and ESG reporting among Saudi non-financial firms (2021-2024) using textual analysis. It finds a positive association, especially with environmental disclosure, sugge…
Priya Ranjan
This study proposes a Green Banking 5.0 framework integrating AI analytics, ESG evaluation, climate-risk assessment, and carbon-conscious lending for sustainable banking in India. Using survey data from 120 customers and secondary sources, …
Poojary, Jyothi, Pathan, Afsha, Duste, Thaireem
This conceptual study explores how AI (ML, predictive analytics, NLP) can support banks in ESG risk assessment, identifying green investment opportunities, and ensuring compliance with sustainability frameworks. AI-enhanced credit scoring i…
Kingsley Imandojemu, Samson Alika, Romanus Osabohien +4
This study analyzes the impact of AI patent activity and climate finance on inclusive green growth in five major African carbon-emitting economies (South Africa, Egypt, Algeria, Nigeria, Morocco) from 2010 to 2024. Using Bayesian fixed-effe…
R N, R RS, D Sk +3
This paper proposes an AI-driven nanostructured electrocatalyst optimization framework (AINEOF) for efficient green hydrogen production. By combining Bayesian optimization with deep neural networks, it optimizes catalyst composition and mor…
C Zhao
This paper proposes a carbon management optimization method using blockchain to enhance transparency and traceability of Scope 3 emissions, focusing on marginalized large-scale operators. It ensures tamper-proof data and improves reliabilit…
Wang K.H.
This paper analyzes the dynamic mutual relationship between AI technology and the green finance market in China, examining whether AI acts as a driver or barrier to green finance development. Using dynamic models, it reveals the interaction…
Cheryl O. Tayo
This bibliometric study analyzes global development of intelligent technologies for blue carbon ecosystem monitoring, using 7,054 Scopus publications (1971-2026) with Bibliometrix and VOSviewer. It reveals accelerated growth post-2010, them…
Zhen Wang
This paper proposes a collaborative decision system for low-carbon navigation of multiple ships using federated learning (FL). By training models without sharing raw data, it reduces fuel consumption and CO2 emissions while preserving data …
Supreetha HD, Punith Cariappa, Suresha B
This review systematically analyzes how Industry 4.0 technologies (IoT, AI, big data, etc.) integrated with Circular Economy principles enhance Triple Bottom Line performance in industrial firms. It finds significant improvements in environ…
Anelia Kurteva, Carlo van der Valk, Kathleen McMahon +2
To advance circular economy in ICT, the RePlanIT ontology supports building Digital Product Passports (DPPs) for laptops and data servers, integrating device, component, material, and CE knowledge. Validated in a real-world case aiding sust…
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…
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