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 81–100 of 741 papers
Michael Addai
This study investigates AI adoption as a driver of sustainability reporting among Ghana Stock Exchange-listed firms. It explores how AI transforms reporting practices, highlighting challenges and opportunities for disclosure in an emerging …
Nawal Louzi, Mohammad Q. Al-Jamal, Mahmoud AlJamal +2
This study proposes a framework integrating AnyLogic simulation and graph-based multi-agent deep reinforcement learning (Graph-MAPPO) to optimize pavement maintenance for carbon reduction and renewable energy use. It manages pavement condit…
Dr. Ayalapogu Ratna Raju, T. Akila, Dr.K Umapathy +3
This study proposes a data-centric framework using a Multilayer Perceptron (MLP) to predict carbon emission reduction potential across the lifecycle of residential buildings. Analyzing 1,640 projects, the model classifies reduction levels w…
Vincenzo Barrile, Emanuela Genovese, Clemente Maesano +2
This study integrates machine learning, remote sensing, and ecosystem modeling to assess carbon dynamics in a semi-arid region of Tunisia. It maps land use/land cover, estimates carbon stocks and emissions using InVEST, and simulates future…
Musa Lefagana, H. Suleiman
This study proposes a conceptual model where cloud accounting moderates the relationship between audit quality and sustainability disclosure. It identifies five audit quality dimensions (anomaly detection, cost efficiency, risk assessment, …
J. Chinna
This study analyzes the impact of AI on ESG reporting from 2019 to 2025, showing adoption surged from 15% to 63%. AI evolved from basic data collection to machine learning, NLP, and generative AI, improving transparency, accuracy, and timel…
Bochen Zhang, H. Huang, Zhili Han +1
This paper empirically analyzes the impact of digital-real integration (DRI) on green total factor productivity (GTFP) using panel data from Chinese industrial enterprises. Fixed-effects and mediation analyses show that DRI significantly im…
Yuxuan Guo, Linxin Yin, Ruihan Xiong +2
This study addresses the severe risk of capital chain rupture in China's construction industry, focusing on vulnerable subcontractors. It proposes an AI-assisted risk control platform and innovative insurance products, using gradient boosti…
Zahra Yaghoubi, Mahyar Mansouri, Hosein Alimardani +2
This study applies explainable machine learning to optimize methane tri-reforming (TRM) for low-emission hydrogen production and CO2 utilization. Using 46,464 equilibrium data points, a neural network achieved the best predictive performanc…
Jiyoung Ko, Yong-Woon Kim, Y. Byun
This study proposes a deep learning framework for accurate greenhouse detection and segmentation from high-resolution aerial images. By integrating class-weighted loss and class-aware sampling into YOLOv8, it achieved mAP@0.5:0.95 of 0.566.…
Laura Elena Jiménez-Casillas, Román Rodríguez-Aguilar, Marisol Velázquez-Salazar +1
This study measures the individual impact of CSR and sustainable operations on financial performance for Mexican listed firms using Random Forest and explainable ML (ICE, PDP, SHAP). Environmental scores show the most consistent contributio…
Sajjad Ahmed
This systematic review analyzes how digitalizing integrated management systems (IMS) impacts operational efficiency, sustainability, and strategic value, drawing on 69 studies and corporate reports. AI, IoT, and cloud technologies enable re…
Adedokun A. Adebowale
This study evaluates Nigeria's digital procurement reforms and proposes a Policy-Driven Digital Governance Framework (PDGF) integrating AI anomaly detection, OCDS, and gender-responsive green procurement. Simulation suggests potential savin…
Ekwuye, Ben Madu, Lawal I. Lamidi, Okoroiwu, Kemdi Lugard +1
This study examines the impact of blockchain, AI, big data, and XBRL on sustainable financial reporting in emerging markets like Nigeria. Based on stakeholder theory and TAM, it discusses automation of ESG data collection, predictive analyt…
Kunjie Zhu, Simin Yang, Mingkun Zhou +1
Using patent data from 4,728 Chinese listed firms, this study shows that China's National Big Data Comprehensive Pilot Zones policy boosts green innovation quantity by 4.5%, driven by improved financing, subsidies, and reduced information a…
Yinhao Zhu, Sheng Li, Juan Yin +2
This paper integrates meta-analysis with machine learning to optimize biochar application for greenhouse gas mitigation and yield improvement. It aims to identify optimal application conditions, providing quantitative evidence for biochar a…
B. Gyamfi, Richard Arhinful, Leviticus Mensah +2
Using data from 143 UK non-financial firms (2008-2024), this study applies CS-ARDL, FGLS, and GMM to show that sustainable finance (environmental expenditures, emission reduction policies, green bond issuance) positively impacts product res…
Abdullah Kursat Merter, Beylem Çeli̇k, Gökhan Özer
This study examines the relationship between ESG content intensity and disclosure speed using a panel of BIST Sustainability Index firms (2014-2023). BERT-based text analysis measures ESG intensity, and fixed-effects regressions show that h…
S. Shin, Seon-Mi Kim, Seung-Weon Yoo
This study uses text mining to analyze sustainability reports of Korean listed firms, quantitatively assessing ESG disclosure similarity and completeness. Similarity declined over time but rose in 2023 due to postponed mandatory disclosure.…
Marek R. Helinski
This paper presents a generative-AI decision-support framework that optimizes sustainable logistics by integrating EU policy variables (CBAM, EU ETS for maritime, FuelEU, Digital Product Passport, CSRD) into planning equations. Using genera…
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