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.
Showing 21–40 of 1414 papers
Umut Kılıç, İlker Kılıç
A case study applying artificial neural networks to predict energy efficiency and carbon footprint on livestock farms in Turkey. It demonstrates how machine learning can estimate farm-level emissions and environmental performance in the agr…
Ivan Gentile, Motaz Saad, Kianna Kazemi +1
Standard PDF-to-Markdown pipelines silently discard embedded figures, creating a representation gap in RAG. Across 274 ESG reports, 21.7% of 48,896 images are data-bearing yet invisible to text-only retrieval. A vision-language augmentation…
P. Ravichandran, Dr. P. Satheesh Kumar
This paper examines how digital solutions—AI, IoT, blockchain, cloud, and digital twins—integrate with renewable energy, sustainable agriculture, smart transport, and green finance to accelerate climate action. Using a mixed-methods approac…
Yasin ŞEKER, Nevzat GÜNGÖR, İlker Sakınç +4
Reconstructs ESG scores for 50 construction-materials firms (2019–2024) from ten LSEG category scores using entropy weighting and Grey Relational Analysis. High rank correlations (0.94–0.97) but limited numerical agreement (MAE 7.5–8.7) rev…
Michelle Raine Senyadji, Aiko Mazella Sutanto, Athalia Devi Nyanaviro +2
This study examines how 'green intelligence' affects ESG scores in the ASEAN banking sector over 2020-2024. It empirically links green AI/digital capabilities to ESG ratings in banking. No abstract is available, so methods, data, and findin…
Thompson Xavier Ananth, Shashi Kant, Mohit Verma +1
This chapter explores how AI and IoT can transform sustainable food logistics and circular bioenergy at Tanzanian universities. It proposes a conceptual AI–IoT framework integrating real-time monitoring, waste collection, biomass valorisati…
Mayes S.
This paper applies neural networks to forecast marginal emissions factors (MEFs) in the CAISO grid. MEFs capture the CO2 impact of incremental electricity consumption, underpinning hourly Scope 2 accounting and 24/7 carbon-free energy procu…
Qiao-Rong Yang
A critical review of 15 studies at the intersection of AI, carbon accounting, and green accounting. It identifies three technical pathways: data-centric systems, ontology-driven hybrids for SMEs, and real-time tagging platforms. The paper h…
Ayman Mohamed Ibrahim Aldosoky, Mamdouh Abdel Aziz Refai, Mihamed maged khashba +1
A hybrid bibliometric and LDA topic-modeling study mapping the global research landscape of corporate governance and sustainability reporting. It quantitatively reveals thematic clusters and temporal shifts, showing how AI text analysis can…
Nashat Ali Almasria, Saleh Hamood Nasser AL-Sinawi, Hassan Hamad Aldboush +1
Survey study (n=250) testing whether AI and blockchain relate to perceived ESG disclosure quality, with financial regulation and stakeholder engagement as moderators. PLS-SEM shows positive direct effects for AI, blockchain, regulation, and…
R. K. Naresh, Rajan Bhatt, Krishan K. Verma +3
This paper addresses AI-enabled regenerative practices for carbon farming. It likely applies AI/ML to soil carbon measurement and management, linking agricultural practices to carbon sequestration and credits. No abstract is available, so m…
Ge Shi, Haoran Tang, Wei Wang +4
This work proposes a multi-source data fusion and explainable machine learning framework to map built-environment carbon emissions at fine spatial scales in high-density urban regions. It aims to improve urban emissions estimation accuracy …
Darliane Ribeiro Cunha, Newton Narciso Pereira
This study applies text-mining to sustainability reports from Brazilian ports to map how ESG disclosure has evolved over time. Using NLP, it quantifies longitudinal shifts in reporting content, visualizing the maturation of ESG practice in …
Lauren Kim
This study examines whether uncertain wording in 10-K annual reports affects ESG performance for 72 US public firms. It finds a negative relation: greater use of ambiguous words is associated with lower ESG scores, suggesting firms may use …
Pedro Henrique da Silva Ferreira, Wesley Soares Ramos Ramos
This paper examines predictive AI models as instruments of corporate sustainability in energy efficiency and waste management. It incorporates AI's own electricity and water footprint, proposing a 'net balance rule': a model is justified on…
(著者不明)
This paper appears to combine AI methods with domain expertise to assess corporate climate performance. With no abstract available, specific contributions and findings cannot be confirmed, but the topic aligns with gxceed's priority AI×ESG …
Yuzhang Wang
Three Asian manufacturing cases (Haier Qingdao, Siemens Chengdu, LG Changwon) show how digital twins translate into low-carbon business model change and ESG outcomes. Using dynamic capabilities and NRBV, the paper traces information flows, …
H. Hasan, Najwa Sabah
This paper examines how AI-enabled ESG reporting complicates harmonization of corporate disclosure law, focusing on assurance gaps and enforcement risk. It explores how divergent disclosure regimes and weak third-party assurance affect the …
Wei Liu, Yedan Shen, Hasan Dınçer +2
This paper proposes a scenario-based ESG scoring approach for sustainable financial investment decisions. It applies an advanced multi-facet fuzzy system to handle the uncertainty and ambiguity inherent in ESG evaluation. The framework aims…
Anonymous
Replication deposit for a firm-level study of CSRD climate disclosure quality before and after the 2026 Omnibus scope reduction. Covers 188 EU firms and 376 reports coded on a ten-dimension instrument using a frozen LLM prompt. Includes the…
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