Research on Risk Diffusion Mechanism of Logistics Service Supply Chain in Urgent Scenarios

Guangsheng Zhang, Xiao Wang*, Zhijun Gao, Tianyu Xiang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Although there are some studies on the risk management of logistics service supply chain (LSSC), we still know little about the effects of risk evolution and interactional mechanism of subjects in different urgent scenarios of logistics service supply chain from a micro perspective. Based on the structures of the LSSC, this study thus analyzed the risk evolution and the main actors' reactions in the LSSC, including categorizing the urgent scenarios, analyzing their impacts on the diffusion intensity of pricing, profit and demand, and verifying the models' validity with the numerical analysis. The results indicate divergent impacts of the different urgent scenarios on the logistics service supply chain: the price fluctuation can cause similar profit declines of the supplier and integrator, the reduced capacity can cause the supply chain's price increase by 50%, and the demand risks can lead to similar changes of the upstream orders, prices and profits. The findings may provide clues for firms to develop effective countermeasures against the risks.

Original languageEnglish
Article number5906901
JournalMathematical Problems in Engineering
Volume2020
DOIs
Publication statusPublished - 2020

Fingerprint

Dive into the research topics of 'Research on Risk Diffusion Mechanism of Logistics Service Supply Chain in Urgent Scenarios'. Together they form a unique fingerprint.

Cite this