Risk Propagation Mechanism Research Based on SITR Model of Complex Supply Networks

Literature Review

Supply chain risk management is an important part in the field of supply chain research. Many scholars have studied the supply chain risk communication. Borgman and Rachan (2009) established a model to identify potential risks in the supply chain. Chakrabarty and Bandyopadhyay et al. (2010) found that reengineering the supply chain requires collaborative security investments to reduce the impact of risk propagation in the supply chain network. Zhang (2012) believed that the default risk of counterparties in the supply chain could potentially cause contagious effects between credit risks. Liu et al. (2012) established a two-dimensional framework for analyzing the dynamic supplier risk. Tao et al. (2013) established a SIGN-GERT model to analyze the risk dynamics of development progress of complex equipment. Garvey et al. (2015) used the Bayesian Network method and developed a risk propagation model in the supply network. Scheibe and Blackhurst (2017) explained the spread of supply chain disruptions from three dimensions. White and Censlive (2020) used nonlinear modeling to study the elastic response of multiple faults in a two-tier supply chain.