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Research on the Risk of the Fourth Party Logistics Enterprise Based on the Tripartite Cooperation Model under the Background of Made in China 2025: A Case Study of XCompany

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Under the background of "made in China 2025", China's logistics development ushered in new opportunities, which put forward newer and higher requirements for the transformation and upgrading of the logistics industry.The fourth party logistics enterprise is a supply chain integrator.At present, there is a kind of fourth party logistics enterprise based on tripartite cooperation and operation mode in China. That is, fourth party logistics enterprises combine transportation enterprises withinsurance companies, and meanwhile rely on logistics information platform to carry out safety management of freight vehicles. In fact,in the process of tripartite cooperation, there are many uncertain factors, which bring multiple risks to the fourth party logistics enterprises. This paper studies and analyzes the risks faced by the fourth party logistics enterprises, in order to determine the important risk factors, so as to provide decision-making reference for the fourth party logistics enterprises to avoid risks. Firstly, this paper identifies the specific risks in the environment, cooperation, finance and management of the tripartite cooperation model from the internal, external and partnership dimensions, and reveals the mechanism of the risks. Secondly, the analytic hie-rarchy process (AHP) is used to calculate the comprehensive weight of each risk index, and the fuzzy synthetic evaluation method is used to determine the probability of risk. Finally, the overall risk level of X Company is ob-tained by establishing an evaluation matrix and weighting calculation according to the membership relationship between the evaluation matrix and the index weight. The results show that: from the perspective of the dimension of risk importance, cooperation risk and financial risk have the highest risk weight in the second-level index; in the third-level index, the behavioral risk of transportation enterprise, working capital risk and insurance company have the highest risk weight, while the weight of natural risk and political risk is lower. In the dimension of risk generation probability, inter-industry competition risk, transportation enterprise behavior risk, insurance company behavior risk and working capital risk are in the higher probability.
Auricle Technologies, Pvt., Ltd.
Title: Research on the Risk of the Fourth Party Logistics Enterprise Based on the Tripartite Cooperation Model under the Background of Made in China 2025: A Case Study of XCompany
Description:
Under the background of "made in China 2025", China's logistics development ushered in new opportunities, which put forward newer and higher requirements for the transformation and upgrading of the logistics industry.
The fourth party logistics enterprise is a supply chain integrator.
At present, there is a kind of fourth party logistics enterprise based on tripartite cooperation and operation mode in China.
That is, fourth party logistics enterprises combine transportation enterprises withinsurance companies, and meanwhile rely on logistics information platform to carry out safety management of freight vehicles.
In fact,in the process of tripartite cooperation, there are many uncertain factors, which bring multiple risks to the fourth party logistics enterprises.
This paper studies and analyzes the risks faced by the fourth party logistics enterprises, in order to determine the important risk factors, so as to provide decision-making reference for the fourth party logistics enterprises to avoid risks.
Firstly, this paper identifies the specific risks in the environment, cooperation, finance and management of the tripartite cooperation model from the internal, external and partnership dimensions, and reveals the mechanism of the risks.
Secondly, the analytic hie-rarchy process (AHP) is used to calculate the comprehensive weight of each risk index, and the fuzzy synthetic evaluation method is used to determine the probability of risk.
Finally, the overall risk level of X Company is ob-tained by establishing an evaluation matrix and weighting calculation according to the membership relationship between the evaluation matrix and the index weight.
The results show that: from the perspective of the dimension of risk importance, cooperation risk and financial risk have the highest risk weight in the second-level index; in the third-level index, the behavioral risk of transportation enterprise, working capital risk and insurance company have the highest risk weight, while the weight of natural risk and political risk is lower.
In the dimension of risk generation probability, inter-industry competition risk, transportation enterprise behavior risk, insurance company behavior risk and working capital risk are in the higher probability.

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