Building an alliance to map global supply networks
The global economy consists of more than 300 million firms, connected through an
estimated 13 billion supply links [see supplementary materials (SM)], that produce most …
estimated 13 billion supply links [see supplementary materials (SM)], that produce most …
[HTML][HTML] Reconstructing production networks using machine learning
The vulnerability of supply chains and their role in the propagation of shocks has been
highlighted multiple times in recent years, including by the recent pandemic. However, while …
highlighted multiple times in recent years, including by the recent pandemic. However, while …
Estimating the loss of economic predictability from aggregating firm-level production networks
To estimate the reaction of economies to political interventions or external disturbances,
input–output (IO) tables—constructed by aggregating data into industrial sectors—are …
input–output (IO) tables—constructed by aggregating data into industrial sectors—are …
Understanding firm networks in global agricultural value chains
A Beck, S Lim, D Taglioni - Food Policy, 2024 - Elsevier
This paper explores the evolution and resilience of global value chains (GVCs) in the
agrifood sector, which intensified since the 1994 Uruguay Round Agreement. Using unique …
agrifood sector, which intensified since the 1994 Uruguay Round Agreement. Using unique …
[HTML][HTML] Estimating the impact of supply chain network contagion on financial stability
Realistic credit risk assessment, the estimation of losses due to a debtors failure, is central
for maintaining financial stability. Credit risk models focus on the financial conditions of …
for maintaining financial stability. Credit risk models focus on the financial conditions of …
Revealing production networks from firm growth dynamics
We study the correlation structure of firm growth rates. We show that most firms are
correlated because of their exposure to a common factor but that firms linked through the …
correlated because of their exposure to a common factor but that firms linked through the …
Leveraging synthetic data to tackle machine learning challenges in supply chains: challenges, methods, applications, and research opportunities
Machine learning (ML) has the potential to improve various supply chain management
(SCM) tasks, namely demand forecasting, risk management, inventory management …
(SCM) tasks, namely demand forecasting, risk management, inventory management …
Supply network stress-testing of food security on the establishment-level
C Diem, W Schueller, M Gerschberger… - … Journal of Production …, 2024 - Taylor & Francis
Recent events exemplified the fragility of national and international supply networks (SNs),
leading to significant supply shortages of essential goods, such as food and medicines …
leading to significant supply shortages of essential goods, such as food and medicines …
Commodity-specific triads in the Dutch inter-industry production network
Triadic motifs are the smallest building blocks of higher-order interactions in complex
networks and can be detected as over-occurrences with respect to null models with only pair …
networks and can be detected as over-occurrences with respect to null models with only pair …
Reconstructing supply networks
Network reconstruction is a well-developed sub-field of network science, but it has only
recently been applied to production networks, where nodes are firms and edges represent …
recently been applied to production networks, where nodes are firms and edges represent …