Essays on vulnerability of global supply chains

Autor: Namdar, Jafar
Jazyk: angličtina
Rok vydání: 2024
Předmět:
DOI: 10.25820/etd.006464
Popis: There is a lack of empirical or analytical evidence on how the combination of resilience strategies affects firm capabilities in the face of supply chain disruptions. In the first chapter, we use simulation modeling techniques to understand how different disruptions impact supply chain performance through direct and indirect interactions. We find various disruptions require different resilience strategies meaning there is no silver bullet strategy to deal with all disruptions. We also find that inventory and volume flexibility are strategies that combine well with others.The second chapter of this dissertation addresses two main questions. First, we examine the effect of three network structural characteristics on cascading disruptions. The quantile regression reveals that modularity and assortativity have heterogeneous effects on cascading disruptions across the conditional distributions of the outcome variables of interest. Second, we develop a new predictive model to identify the nexus suppliers whose disruptions would have a large impact on focal firms’ operations.
The final chapter develops new measures to operationalize the industrial and geographical concentrations of firms' upstream industries. The developed measures show that an industrial sector might be competitive and contain many suppliers (low industrial concentration) and yet be concentrated in a few nations or a small geographical area (high geographical concentration). Next, we document that the firms whose upstream suppliers are operating in highly concentrated industries on average experience 250 million US dollars reductions in sales. The proposed measures of industrial and geographical concentrations of firms' upstream industries are easy to compute and can help policymakers and managers systematically identify locations in supply networks that can create bottlenecks that may cause severe shortages or even threaten national security.
Databáze: OpenAIRE