E-Commerce Credit Network Control Strategy from a Critical Perspective

Abstract

Credit problems are the main bottleneck in the development of e-commerce. Both the time and degree of e-commerce credit control directly affect its economic benefits. From the perspective of the criticality of complex systems, this paper explores the control node of e-commerce credit behaviour. Implementing control in this node can not only ensure the stable development of the credit network but also optimise the control cost. This paper constructs a credit behaviour model for the four regulatory behaviours of the transaction subject, analyses the evolution law of the credit network, and determines the critical state of the network. Finally, the paper’s empirical analysis and simulation experiments prove that when the false information in the credit network in the empirical data is 32%, the implementation of credit control has an efficient control effect. Nevertheless, 32% is not a universal result; the specific critical point value needs to be recalculated according to the theoretical derivation of the critical point combined with the actual network. These research results can help regulators obtain the highest regulatory return with the lowest regulatory investment.

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“…The Chinese government's establishment of a policy system adapted to the characteristics of cross-border e-commerce reflects the need for sustainable policy frameworks to support the growth of e-commerce (Su et al, 2019). The evolution of ecommerce has also been accompanied by challenges, such as credit problems and the identification of e-commerce-related threats, emphasizing the importance of addressing security and financial issues in the digital marketplace (Haruna et al, 2020;Zhang & Zheng, 2022). Additionally, the readiness of e-commerce to support SMEs in various sectors, including tourism and globalizing business environments, highlights the potential for ecommerce to drive economic growth and competitiveness (Lubis et al, 2019;Savrul et al, 2014).…”