GX & Decarbonization Research

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…

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…

Daoud Y.

This study proposes a crude oil price forecasting approach combining explainable AutoML with ESG-driven market signals. By integrating ESG information as predictive inputs, it aims to capture how sustainability factors influence energy mark…

Bogdan V.

This paper examines how artificial intelligence can enhance integrated reporting (IR) in Romania. IR integrates financial and non-financial disclosure, and AI may improve data integration and reporting quality. As an emerging EU market case…

Huang J.

This paper examines how the tone of ESG disclosure shapes the link between ESG ratings and firm performance. Using textual analysis to quantify ESG tone, it shows that tone moderates the ratings-performance association. It highlights the in…

Sudhanwa Purandare, Sumanth Banakar, Venkatesh Ankarla Sri Ramuloo +1

This paper proposes a cognitive digital twin combined with deep reinforcement learning for carbon-aware and resilient supply chain management. It contributes a framework that balances carbon constraints with disruption resilience in operati…