A multi-layer Bayesian network method for supply chain disruption modelling in the wake of the COVID-19 pandemic
Seyedmohsen Hosseini and Dmitry Ivanov
| Year of publication: |
2022
|
|---|---|
| Authors: | Hosseini, Seyedmohsen ; Ivanov, Dmitry |
| Subject: | Bayesian network | COVID-19 | pandemic | ripple effect | Supply chain dynamics | supply chain resilience | Lieferkette | Supply chain | Coronavirus | Bayes-Statistik | Bayesian inference | Risikomanagement | Risk management | Epidemie | Epidemic | Simulation |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2021.1953180 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013500701