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 241–260 of 337 papers
El jaouhari A.
This paper reviews the role of Industry 4.0 technologies in achieving net-zero supply chains and proposes future research directions. It focuses on integrating advanced digital technologies to reduce Scope 3 emissions, providing a pathway f…
Villanova, Marcio
This technical report examines the gap between regulatory clarity and audit-grade evidence in EU-Brazil supply chains. It proposes a supplier evidence architecture for circular value chains, emphasizing documentation for reverse logistics, …
Anspach, Rebeka, Roesslein, Matthias, Boga, Bíborka +3
This deliverable of the EU-funded RAWCLIC project provides harmonized composition datasets for energy technologies (traction motors, heat pumps, batteries, wind turbines, photovoltaics, electrolyzers, fuel cells) and digital technologies (r…
Flammini A.
This paper comprehensively assesses greenhouse gas emissions from cold chains in agrifood systems, highlighting energy consumption and refrigerant leaks as key emission sources. It provides estimates and suggests mitigation strategies, emph…
Oleksii Palant, A. Sheptukha
This paper develops an economic model for the fashion industry supply chain, treating transportation as a tool to manage revenues, risks, and environmental impacts. It shows that carbon pricing creates threshold effects in optimal transport…
Theofanis Zacharatos, Ginevra Coletti, Konstantinos Dellis +1
This study uses the FABLE Calculator to model post-harvest loss (PHL) reduction scenarios, assessing their socioeconomic and environmental impacts. It finds that PHL reduction alone has limited benefits, but combining supply- and demand-sid…
Jens Christian, Florian Sahling
This paper proposes a method for designing global supply networks under trade tariffs and stochastic carbon caps. It uses risk-aware optimization to analyze cost and carbon emission trade-offs.
Abu Sied, Kazi Tazul Islam, Mohammad Mahabubul Haque +1
This study analyzes how war, geopolitical conflicts, trade restrictions, and resource nationalism disrupt green energy supply chains, finding war as the strongest predictor of disruption. It recommends diversification, localization, recycli…
Jitang Feng, Liangsi Wu, Manfei Yang
This study examines the impact of ESG rating pressure on low-carbon supply chain performance using Chinese A-share listed companies (2010-2023). Using a panel data mediation model, it finds that ESG pressure enhances low-carbon supply chain…
M. Mukhtar, Nurul Anisah Mohd Jamaludin, Sayed Kushairi Sayed Nordin
This study investigates factors influencing transportation-related carbon footprint among logistics workers in Malaysia using the Theory of Planned Behaviour. Awareness and transportation habits significantly predict carbon footprint, while…
Chenting Wang, Guoping Ding
This study uses data from Chinese A-share listed companies (2008-2023) to examine how supply chain finance affects corporate zero-carbon transition. Using text analysis, it constructs a zero-carbon index and supply chain finance indicator. …
João Vyctor Brás dos Santos, Tiago F. A. C. Sigahi, Deoclécio Júnior Cardoso da Silva +4
This study evaluates the maturity of supplier-related environmental disclosures in sustainability reports of top ESG-performing Brazilian firms. Using CRITIC weighting and Grey Fixed Weight Clustering on 67 reports, it finds that nearly 60%…
Anupama Prashar, Naman Agarwal
This study examines how sustainability-related supplier opportunism (active vs. passive) affects buyer responses, using a behavioral lens. Through two experiments, it finds that active opportunism is perceived as more severe and reduces buy…
David Tobón Orozco, Jose Pla‐Barber
This study examines how stakeholder engagement influences voluntary climate action commitments (CACs) using data from 98 Colombian firms. Decarbonization insourcing (DIN) directly boosts CAC and positively moderates the effect of stakeholde…
Yao Luo, Shuna Wang, Wei Xiao
Examines incentive contract design with endogenous information acquisition in low-carbon supply chains. Analyzes optimal contracts to promote emission reductions under information asymmetry.
Yishuang Liu, Xiujie Tan
Using matched supplier-customer data for Chinese A-share manufacturing firms (2009-2021), this study examines whether corporate ESG performance promotes green innovation within firms and across supply chains. It finds that downstream ESG pe…
Baoquan Li, Wang Yang, An Shi +5
This study proposes a dual-use underground logistics system (DULS) framework combining robust layout optimization with simulation. Using a Wasserstein-based distributionally robust optimization and AnyLogic discrete-event simulation, the ca…
Dong Guo, Wei Yet Tan
This study uses structural equation modeling to examine how five sustainable supply chain practices (green procurement, production, logistics, collaboration, and information sharing) affect perceived low-carbon development efficiency in man…
An Thi Binh Duong, Vu Minh Ngo, Hung Nguyen +3
This study investigates how Smart Food Safety Management Systems (SFSMS) can be leveraged as enterprise information systems to achieve carbon neutrality and economic performance in the food industry. Based on a survey of 269 food enterprise…
Junhong Hu, Chen Li, Chenchen Li +2
This study develops a bi-objective route-choice model for multimodal freight transport that minimizes total cost, time, and carbon emission costs under uncertain demand and dynamic transshipment time. Using chance-constrained programming an…
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