[HTML][HTML] Data analytics for sustainable global supply chains

E Mangina, PK Narasimhan, M Saffari… - Journal of Cleaner …, 2020 - Elsevier
Based on the key metrics to monitor energy sector improvements from the International
Energy Agency (IEA), transport emissions must decrease 43% by 2030. Freight logistics …

State-of-the-art perspectives on data-driven sustainable supply chain: A bibliometric and network analysis approach

PS Mahajan, R Agrawal, RD Raut - Journal of Cleaner Production, 2023 - Elsevier
In today's competitive world, gathering precise context knowledge is a critical barrier for
industry practitioners, professionals, and researchers in supply chain management …

A new artificial neural networks algorithm to analyze the nexus among logistics performance, energy demand, and environmental degradation

C Magazzino, M Mele, N Schneider - Structural Change and Economic …, 2022 - Elsevier
This paper critically assesses the effect of fossil fuel dependence and polluting emissions
from the transport sector on the performance of logistics operations in the context of Green …

Business analytics for systematically investigating sustainable food supply chains

PJ Wu, PC Huang - Journal of Cleaner Production, 2018 - Elsevier
From farm to fork, food supply chains threaten the environment in a range of different ways.
Stakeholders in food chains seeking to go green have a twofold problem, comprising limited …

The Impact of Data Mining and Artificial Intelligence on Supply Chain Management and Environmental Performance

AN Doss, N Maurya, K Guru, G Masood… - Proceedings of Second …, 2022 - Springer
The desire of practitioners and scholars has risen over the past few years in Data Mining
and artificial intelligence technology. Nevertheless, few researchers have empirically …

Identifying a Country's Freight Transport-Intensive Economic Sectors and Their Logistics Emissions—Method Development and Exemplary Evaluation with Austria

P Miklautsch, A König, M Woschank - Sustainability, 2022 - mdpi.com
It is unequivocal that global greenhouse gas emissions must be reduced drastically. One
opportunity to quickly achieve deep emission reductions is by investigating the largest …

[HTML][HTML] Data-driven sustainable supply chain through centralized logistics network: Case study in a Finnish pharmaceutical distributor company

A Shamsuzzoha, E Ndzibah, K Kettunen - Current Research in …, 2020 - Elsevier
Logistics processes are in the core of transportation, providing a structure for distributing
products on an international scale. This research was conducted as a commissioned …

Calculating emissions along supply chains—Towards the global methodological harmonisation

H Auvinen, U Clausen, I Davydenko… - Research in …, 2014 - Elsevier
In order to keep climate change on a manageable level, countries across the globe are
expected to control and reduce their total greenhouse gas emissions. A major contributor to …

A hierarchical data architecture for sustainable food supply chain management and planning

R Accorsi, S Cholette, R Manzini, A Tufano - Journal of cleaner production, 2018 - Elsevier
The agro-food industry is one of the largest parts of the European Union's economy and
faces economic and environmental stresses. While food traceability systems (FTSs) inform …

Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda

CJC Jabbour, PDC Fiorini, NO Ndubisi… - Science of the total …, 2020 - Elsevier
While the potential benefits of integrating digital technologies and supply chain
management have been widely reported, less is known concerning the current state-of-the …