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 701–720 of 1617 papers
Guo-Ying Han, Zonglin Li
This review systematically structures EV sales research from 2016-2025, selecting 194 papers from 1518 records. It develops a macro-meso-micro framework for determinants and finds econometric models dominant (54%) but machine learning (18%)…
Sahar Attari, James Hanrahan
This systematic literature review examines resource efficiency and emission reduction in hotels, focusing on supply chain (Scope 3) emissions. Analyzing 41 papers from 2005-2024 using the GHG Protocol and Stakeholder Theory, it finds that e…
V. Jha, Sayanth K, Arun Prasher +2
This case study examines sustainable supply chain management (SSCM) and green logistics at International Tractors Limited (Sonalika), an Indian tractor manufacturer. It identifies strengths like vertical integration and low-VOC painting, wh…
Christian Bux, M. Lombardi, Roberto Leonardo Rana +1
This systematic literature review maps decarbonization strategies across the wine supply chain, identifying packaging and logistics as key emission hotspots. It highlights mitigation through soil carbon sequestration, renewable energy, and …
Jun Hu, Zhuoming Wei
This paper constructs a collaborative R&D carbon reduction model for the photovoltaic supply chain using differential game theory, considering carbon tax and consumer green preferences. It compares three scenarios: no R&D, independent R&D, …
Michael Sherwin, John Barnes, Eric Rhodes
This study presents a limited-scope life cycle assessment comparing two powder production routes for oxygen-free high conductivity copper in additive manufacturing. Using Monte Carlo simulation, it found that the DirectPowderTM system reduc…
Zheng Zhang, Wenhao Shen, Xiaran Zhang
This study models green financing for SMEs in supply chains, comparing reverse factoring and bank credit under government reward-penalty mechanisms. Using game theory, it finds that SMEs with higher environmental ratings prefer reverse fact…
Shahzad Ashraf
This study examines green supply chain management (GSCM) practices through comparative case analysis of four industry leaders (Eastman Chemical, Westpac, Coca-Cola, EY) using corporate sustainability reports and CDP data from 2008-2020. Res…
Amir Karbassi Yazdi, Yong Tan, Mohammad Amin Khoobbakht +2
This study identifies barriers to blockchain adoption for green supply chain management in the maritime industry and proposes a multi-criteria decision-making framework to evaluate the suitability of maritime routes. Using a Delphi process,…
Akshay Patidar, S. Bhatnagar, Anil Kumar +3
This study analyzes Industry 5.0 (I5.0) practices enabling net-zero and resilient supply chains using a three-phase framework: literature review, Interpretive Structural Modeling (ISM), and DEMATEL. Key practices include ESG compliance, Lif…
S. Saggar, Thilak Palmada, P. Berben +1
This study evaluates the effect of varying rates and volumes of nitrification inhibitors (DCD and DMPP) applied to urine patches in grazed pastures to reduce nitrous oxide (N2O) emissions. It finds that higher application rates than previou…
H. Al-Yafei, Ahmed Alnouss, Saleh Aseel +3
This study conducts a life cycle assessment of methanol production in Qatar, finding that steam reforming accounts for 81.9% of direct CO2-equivalent emissions and methanol synthesis accounts for 52.4% of Scope 2 emissions due to energy-int…
Sana Elhidaoui, Rajaa El Hanna, Manoj Kumar
This paper proposes an AI-based carbon footprint assessment tool to support comprehensive GHG emissions management. It automates data collection, analysis, and visualization, aiding reduction decisions. While lacking implementation details,…
Jaesung Lee, M. N. Haque, Rajaraman Bharanidharan +8
This study validated the carbon dioxide method (CO2T) for measuring enteric methane emissions in Holstein heifers against respiration chamber (RC) measurements over 108 days. Results showed no significant differences and strong correlations…
Fernando Rojas, E. Castro
This study proposes a data-driven governance framework for sustainable pharmaceutical inventory in a Chilean public oncology hospital. By integrating ABC-XYZ segmentation and a risk-informed continuous-review policy, it reduces stockouts by…
Shanshan Xie, Jiamuyan Xie
This paper analyzes signaling strategies in low-carbon supply chains under demand information asymmetry using a dynamic game model. It finds that manufacturers must distort output and carbon reduction downward to signal low demand, and that…
G. Seguela, J. Littlewood, G. Karani
Using multi-year operational data from a large healthcare facility in Abu Dhabi, this study evaluates the GHG intensity (kgCO2e/m3) and life-cycle cost of decentralized non-potable water (NPW) systems. An optimized NPW configuration reduces…
Edward Koh
This paper provides an overview of the global MICE (Meetings, Incentives, Conferences, Exhibitions) and business events industry's sustainability efforts. It identifies the 'dirtiest' components in the supply chain (F&B, accommodation, stan…
Zhanxiang Wang, Huizhong Shen, Ruixin Zhang +11
This study quantifies the full lifecycle health burden of construction-related PM2.5 air pollution in China from 2000 to 2019. Construction emissions, including upstream power and industrial sources, caused 1.10 million premature deaths in …
Wei Chen, Ruonan Zhu, Jing Chen
This study uses a biform game to analyze clean energy investment in an electricity supply chain under a unit carbon quota mechanism (UCM). It finds that UCM promotes investment and demand only when unit carbon emissions are low; under high …
Browse by Topic