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 2461–2480 of 23939 papers
Xinyue Hao, Emrah Demir
This study identifies triggers and inhibitors of AI adoption in supply chains using a PRISMA systematic review and thematic analysis under the ESG framework. Environmental triggers include waste and GHG reduction; social triggers include pr…
Clara Lenk, Rosalie Arendt, Vanessa Bach +1
This study applies and compares territorial-based and consumption-based carbon footprint methods for the Berlin-Wedding district. Results were nearly identical (about 400,000 t CO2-eq), not supporting the hypothesis that consumption-based f…
Himasai Kiran Reddy Durgam, Prasanna Venkatesan Ramani
This review analyzes the integration of circular economy principles in construction supply chains using a combined bibliometric and grounded theory approach. It identifies key challenges such as fragmentation, waste, and carbon emissions, a…
Afia Saiara Akhi, Mustakim Jahan, Shamima Shammay +1
This systematic review synthesizes recent research on AI-driven optimization for sustainable project and supply chain management, covering predictive analytics, machine learning, digital twins, and multi-objective optimization. It identifie…
Aurel Stenzel, Israel Waichman
This paper discusses the importance of primary data sharing along supply chains for accurate Scope 3 emissions calculation. Current estimates rely on industry averages, which are imprecise. It identifies three main obstacles: legal/regulato…
Simon Glöser‐Chahoud, Matthias Pfaff, Frank Schultmann
This paper quantitatively assesses the relationship between product lifetime and GHG emissions for refrigerators and mobile phones. Using dynamic material flow analysis (MFA) linked with life cycle inventory (LCI) data, it simulates scenari…
Kaewunruen, Sakdirat, Qin, Xia, Cvetkovska, Meri +4
This study analyzes technical barriers to circular economy adoption in the building sector via a multi-region survey (n=270) and literature review. It identifies interoperability of tools/data, documentation/traceability, and capability gap…
Qinpeng Wang, Guotao Wu, longfei he
This study uses differential games to analyze big data service (BDS) investment strategies in a dual-channel low-carbon supply chain, considering consumer reference effects on emission reduction levels. It finds that joint BDS investment be…
Jens Malmodin, Dag Lundén
Based on a large primary dataset from telecom operators, this report estimates electricity consumption and operational carbon emissions of ICT networks (fixed and mobile) for 2010, 2013, and 2015. In 2015, electricity use was 242 TWh (1.15%…
Charlotte Freitag, Mike Berners-Lee, Kelly Widdicks +3
This paper critiques peer-reviewed estimates of ICT's GHG emissions, suggesting the actual share could be 2.1%-3.9% after adjusting for supply chain truncation. It identifies three reasons emissions will likely rise without intervention and…
Aleksandra Woszczek, Michael Child, Mika Luoranen +1
This study assesses GHG Protocol scope 3 categories and data sufficiency at LUT University, Finland. Findings show that most scope 3 emissions suffer from poor data accuracy, leading to over- or underestimation. The authors suggest universi…
Aaron Taylor, Stephanie Au, Barbora Krivankova +2
This study quantifies the carbon footprint of laparoscopic right hemicolectomy (LRH) in a single hospital, analyzing four cases. Mean emissions were 22.81 kgCO2e per case, with single-use consumables manufacturing contributing 54%. It highl…
Kirsi Usva, Taija Sinkko, Frans Silvenius +2
This LCA assesses the carbon and water scarcity footprints of coffee consumed in Finland, covering the entire life cycle from cultivation to consumption. Primary data from eight farms in Brazil, Nicaragua, Colombia, and Honduras, and Finnis…
Jan Niklas Buescher, Victoria Pohl, Daniel Ditterich +6
This paper explores how data space-based condition monitoring can enhance circular economy strategies and sustainability in industrial production, using the RIF Cyber Physical Brewhouse as a case study. Drawing on a literature review and qu…
Alessandro Flammini, Hanif Adzmir, Kevin Karl +1
This paper estimates GHG emissions from non-renewable wood fuel harvesting for household cooking, by country and globally. In 2019, annual emissions were about 745 Mt CO2 eq, with uncertainty from -63% to +64%. Increases in sub-Saharan Afri…
Ivan Bergier, Édson Luís Bolfe, Débora Pignatari Drucker +8
This paper analyzes challenges and opportunities for building a sustainable, secure, and transparent data-sharing environment for ESG reporting in agriculture and livestock. Using a systematic literature review and semantic network, it iden…
Mark Fenwick, Paulius Jurčys
This paper argues that the 'green value' of sensor-generated data is underutilized in climate action, proposing a user-held data model where data belongs to users. It explores applications in green lifestyles, smart cities, and green innova…
Neus Escobar, E. Jorge Tizado, Erasmus K. H. J. zu Ermgassen +3
This paper integrates LCA with physical trade flow analysis to spatially explicitly estimate GHG emissions from Brazilian soy exports. Analyzing ~90,000 trade flows from 2010-2015, it reveals large variability in carbon footprints across so…
Steffen Wurm, Adrian Kasner, Oliver Petrović +1
This paper proposes a modular system architecture for automated Product Carbon Footprint (PCF) calculation in manufacturing, using the Asset Administration Shell (AAS) as a digital twin. It defines four functional layers (Sources, Network, …
Ebbe Kyhl Gøtske
This PhD thesis uses techno-economic optimization to analyze a future sector-coupled European energy system, focusing on storage technology competitiveness, climate change impacts, and robustness to weather variability and gas supply disrup…
Browse by Topic