Risk Aversion of B2C Cross-Border e-Commerce Supply Chain

Zhou, Li; Wang, Jingjing; Li, Feng; Yan, Xu; Jie, Zhao; Su, Jiafu

doi:10.3390/su14138088

Cited by 14 publications

(7 citation statements)

References 29 publications

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“…In terms of supply chain risk propagation, the research results of infectious disease propagation dynamics models such as SIS and SIRS have been more prominent in recent years, and the results of several researches have also confirmed that the propagation dynamics model on the complex network can better reflect the law of risk propagation from the perspective of the supply chain as a whole [9][10][11][12][13].…”

Section: Literature Reviewmentioning

confidence: 94%

Research on Risk Propagation in Fresh E-commerce Supply Chain Based on Complex Networks

Zhai

2024

IJGEM

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In recent years, the rapid growth of the fresh e-commerce industry has introduced several potential risk factors to the supply chain that necessitate preventative measures. This paper aims to study the risk propagation within the fresh e-commerce supply chain and propose strategies for risk control. Firstly, a dual local world fitness network model is constructed by combining the fitness model with the local world model. This model is then validated, showing consistency with the actual network. Building upon this, an improved SEIRS risk propagation model is developed, and the basic reproduction number is calculated to simulate the risk propagation within the fresh e-commerce supply chain. The results indicate that the degree of risk propagation is positively correlated with the initial infection rate, risk outbreak rate, and loss of immunization rate, while negatively correlated with the risk recovery rate and risk elimination rate.

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Section: Literature Reviewmentioning

confidence: 94%

Research on Risk Propagation in Fresh E-commerce Supply Chain Based on Complex Networks

Zhai

2024

IJGEM

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“…Based on the susceptible-infected-removed (SIR) model, Li et al [28] developed a risk propagation model for supply chain risk management of agricultural goods. To simulate the risk propagation of the B2C cross-border e-commerce supply chain, Zhou et al [29] developed the SIRS virus propagation model and established the evaluation index system of supply chain risk immunity and external risk intensity in accordance with the supply chain risk immunity and external risk intensity. The elements that have the most effect on supply chain risk immunity and external risk intensity were determined using hierarchical analysis.…”

Section: The Complicated Network-based Sir Modelmentioning

confidence: 99%

Transmission Mechanism of Post-COVID-19 Emergency Supply Chain Based on Complex Network: An Improved SIR Model

Chen

Yin

2023

Sustainability

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Since the COVID-19 epidemic swept the world, the emergency supply chain (ESC) has faced serious uncertainty risks. To maintain the stability of the emergency supply, risk prevention and contingency measures must be prepared. In this paper, the authors first obtain the initial risk value of 0.4 using the fuzzy comprehensive evaluation approach and then build an improved SIR model based on a complex network to investigate the risk propagation law of the ESC. The simulation results show that (1) the high number of nodes becomes the initial risk source, the risk propagates faster and the peak value arrives two days earlier on average; (2) the initial infection rate gradually increases from 0.2 to 0.4, 0.6, and 0.8, and the risk spread speed also accelerates; (3) the recovery rate of network nodes increases gradually from 0.1 to 0.2, 0.3, and 0.4, and the influence range of risk propagation decreases inversely; (4) appropriately increasing the deletion rate of network nodes is conducive to improving the stability of the ESC network. Given the above ESC risk propagation law, this paper proposes relevant risk prevention measures and suggests that a risk early warning system of node enterprises should be established in combination with the target immunization strategy. For ESC risk management, the result has significant theoretical and practical implications.

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“…Study [12] emphasizes, in general, the lower importance for e-commerce of political and regulatory risks compared to economic ones. At the same time, there is a higher level of sensitivity of internet companies of transboundary trade to the logistical risks associated with customs clearance, transportation, and distribution procedures.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Adaptation of risk management in the supply chains of e-commerce enterprises under the conditions of political instability

Kharsun

Kavun-Moshkovska

Kotova

et al. 2022

EEJET

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The research considers the construction of a supply chain management system for e-commerce enterprises in the face of political threats and the manifestation of the risks of military conflicts. In the system of political risks to the functioning of supply chains (SC) of e-commerce enterprises, the threats of military conflicts and civil confrontations are highlighted. It has been established that despite the indirect and relatively low sensitivity of e-commerce to political risks, there is a high probability of negative impact on the mechanism of functioning of supply chains of e-commerce enterprises of military conflicts. The characteristic directions of influence of the risks of military conflicts on the activities of e-commerce enterprises are revealed. Five groups of risks for the supply chain of an e-commerce enterprise caused by military conflicts have been identified: infrastructure, contractual, economic, financial, social, reputational. The consequences and directions of influence of factors of military-political instability on the functional areas of logistics of the supply chain of e-commerce enterprises are determined. The ranking was carried out using the expert method of risks of military conflicts for supply chains of e-commerce enterprises. It was established that in 1st place with an importance coefficient of 0.18 there is a risk of deterioration of information relations. It was estimated that the average period for the restoration of supply chains since the beginning of hostilities is 2–3 months. The study schematically depicts the cyclical causality of the functioning of the supply chain of an e-commerce enterprise in the face of aggravation of military-political conflicts. An algorithm for the construction of a risk management system for e-commerce enterprises has been developed

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Risk Aversion of B2C Cross-Border e-Commerce Supply Chain

Cited by 14 publications

References 29 publications

Research on Risk Propagation in Fresh E-commerce Supply Chain Based on Complex Networks

Research on Risk Propagation in Fresh E-commerce Supply Chain Based on Complex Networks

Transmission Mechanism of Post-COVID-19 Emergency Supply Chain Based on Complex Network: An Improved SIR Model

Adaptation of risk management in the supply chains of e-commerce enterprises under the conditions of political instability

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