A Dynamic CGE Model for Consumer Trust Mechanism within an E-Commerce Market

Abstract

This study aims to use the computable general equilibrium (CGE) model to evaluate the economic consequences of foreign direct online purchases on the chain economy and to forecast the future development of e-commerce. We expected that international online direct shopping reduced transaction costs in two ways: duty equivalent were reduced, and direct import prices were reduced. The development of e-commerce markets for products, services, and information is important for consumer trust. Customers are becoming more interested in these industries because companies increased in number and users. Rules and regulations that are customized to the demands of both businesses and consumers are important for the industries’ continued growth. This study proposes a CGE model and analyzed the dynamic trust mechanisms of individual customers in the financial inclusion market to achieve the entire equilibrium state of the rural financial sector and maintain the stable development of the financial inclusion consumer market. Through the initiation of the era of big data, e-commerce has become a key part of the development of the new economy. In order to ensure the reliability, security, and service quality of e-commerce transactions in different transaction environments, how to accurately and quantitatively express and predict the trust relationship enhance the trust of both parties. This paper uses artificial intelligence to check relevant materials, then passes the problem to experts for processing, analyzes the security issues in e-commerce, summarizes the e-commerce security system framework centered on trust management, and describes the contextual trust management model. Experimental outcomes show that the proposed technique can accurately assess the trust of individual consumers and plan the e-commerce market based on the trust mechanism.