Risk transmission in complex supply chain network with multi-drivers

Jiepeng Wang, Hong Zhou and Xiaodan Jin

Chaos, Solitons & Fractals, 2021, vol. 143, issue C

Abstract: Using epidemic model to study supply chain risk transmission, multi-drivers including the enterprise risk preference, the operational robustness and flexibility, the completeness of market information and especially the network topology are explored. The mechanism and evolution of the complex supply chain network risk transmission are discussed. We find that (1) For a complex supply chain network, when the risk transmission is lower than the threshold, the risk tends to die, and when the risk transmission is greater than the threshold, the risk trends to achieve transmission and diffusion, and tends to a non-zero equilibrium point. (2) Risk transmission threshold is positively correlated with the operational robustness and flexibility, the completeness of market information, and immunity rate; while it is negatively correlated with the enterprise risk preference. (3) Risk transmission scale is negatively correlated with the operational robustness and flexibility, the completeness of market information, and immunity rate; while it is positively correlated with the enterprise risk preference. (4) The heterogeneity of network is greater, the risk transmission threshold is greater, the risk transmission scale is lower. The conclusion has important theoretical and practical significance for supply chain risk management.

Keywords: Supply chain management; Complex network; Risk transmission; Stochastic dominance; Risk management (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:143:y:2021:i:c:s096007792030655x

DOI: 10.1016/j.chaos.2020.110259

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