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 121–140 of 194 papers
Yiğit Türe
This paper proposes a quantitative framework to assess the decarbonization potential of secondary base metal production (recycling). It develops a methodology to calculate CO2 reduction potential compared to primary production, contributing…
Bauer, René
This dissertation develops an integrated understanding of carbon calculation, management, and reporting in logistics and supply chains. It comprises three studies: a systematic review of methodological factors, an integrative review of mana…
Zoya Naaz, Vaibhav Sharma, Akshay Raj +1
This chapter explores integrating AI with renewable energy to decarbonize international cold chains for perishable goods. It investigates MPPT algorithms in solar-powered warehousing and uses predictive analytics and digital twins to preven…
Thomas Becker
This paper argues that as vehicle use-phase emissions decline, the carbon footprint of manufacturing (Scope 3 upstream) becomes decisive. The automotive supply chain's complexity demands a robust carbon accounting framework for credible inf…
Raktim Dasgupta, Sadhan Kumar Ghosh, Arup Ranjan Mukhopadhyay +1
This study presents an integrated framework using real operational data to quantify and reduce Scope 3 emissions in a medium-scale steel supply chain in India. The Electric Arc Furnace is identified as the dominant hotspot (>90% of emission…
Wong , Eugene Yin Cheung, Wei, Ran, Ling, Kev Kwok Tung +1
This paper proposes an RNN-based optimization model to reduce Scope 3 transport emissions in global supply chains. Applied to the polo shirt industry, it compares EU and Asia-Pacific (AP) routes, finding AP reduces emissions by 73.8% (0.008…
Canal Vieira, Leticia, Longo, Mariolina, Mura, Matteo
This study analyzes how boundary-spanning functions as a mechanism for constructing shared responsibility in Scope 3 emissions management. Using longitudinal data from 31 European manufacturing firms, it finds that supply chain complexity c…
Widiene Essouid, Hiba Salem, Stéphane Trébucq +2
This study examines Scope 3 emissions accounting for purchased goods and services, identifying key barriers such as data quality, inconsistent methods, and lack of organizational alignment. Using MICMAC analysis and the Sustainability Balan…
Yang X.
Analyzes GHG mitigation potential across multi-tier supply chains, highlighting the need for collaboration to achieve net-zero targets.
Emborg M.
This study applies process-based life cycle assessment (LCA) to help petroleum companies identify emission reduction opportunities in their value chains. The case study demonstrates how detailed LCA can pinpoint hotspots and guide decarboni…
Bauer R.
This paper explores the development of Scope 3 emissions reporting practices among global logistics companies. It examines the evolution of reporting methodologies, challenges, and trends in the sector, providing insights for improving supp…
Yau Y.Y.
Analyzes the impact of reducing meat consumption on supply-chain greenhouse gas emissions in an import-reliant city. Identifies hidden emission sources and provides insights for urban climate policy.
Chocholac J.
This paper proposes a framework for calculating greenhouse gas emissions from road freight transport in the automotive industry. It systematically identifies emission sources and calculation methods, aiming to establish an industry standard…
Wang Y.
This paper presents a multidisciplinary approach to optimizing scope 3 emissions in the automotive manufacturing industry. It proposes methodologies for reducing emissions across the supply chain and offers a practical framework for impleme…
Wang S.Y.
This paper proposes a machine learning approach to estimate Scope 3 emissions, addressing the challenge of data-scarce indirect emissions. It enables better visibility for corporate decarbonization strategies and improves disclosure accurac…
Hertwich E.G.
This paper analyzes the growing importance of scope 3 emissions in industry, emphasizing the need for supply chain-wide emission reductions. It highlights that accounting and reporting of indirect emissions have become central to corporate …
Sadhukhan J.
This paper recommends net-zero actions for Scope 3 emission mitigation using Life Cycle Assessment (LCA). It demonstrates that LCA is effective for understanding emissions across the supply chain and prioritizing reduction measures. It prov…
Teske S.
This paper provides sector-specific Scope 1, 2, and 3 emission analyses for agriculture, forestry, and processing of harvested products. It establishes a data foundation for setting net-zero targets by visualizing supply-chain-wide greenhou…
Ririn Regiana Dwi Satya, Laela Chairani, Yulita Veranda Usman +1
This study applies Life Cycle Assessment to calculate the carbon footprint of potato chip production in Garut, Indonesia. The semi-mechanical process emits 16.77 kgCO2-eq per kg of chips, with Scope 3 (product delivery) as the largest contr…
Fransisca Fitriastuti, Yos Sunitiyoso
This study examines how digital transformation, through the Greenomina platform at Indonesia's state-owned oil company Pertamina, enables Scope 3 emission tracking, management, and stakeholder accountability. Using the Digital Transformatio…
Browse by Topic