Analysis of E-Commerce Law Using Two-Stage Model PLS-SEM Base Neural Network: A Case Study in Vietnam

Abstract

In the post-Covid-19, the e-commerce industry is expanding rapidly. Electronic companies have been thinking about progressively transitioning to the e-commerce industry. The booming telecommunications sector supports the e-commerce sector's quick acceleration in response to the global economy. Due to the link made possible by computer networks, participants in the e-commerce industry are coming together more and more. The study examines how elements affecting e-commerce in Vietnam or export via an e-commerce platform (EEP) interact with factors affecting Culture and Foreign Language (CFL), the Legal System (LF), and the Digital Technology Platform (DTP). The report provides a general overview of the e-commerce industry and its effects on the industry's growth. To assess the variables influencing Export via E-commerce Platform (EEP) in Vietnam. This study suggests integrating the Partial Least Squares Structural Equation Modeling (PLS-SEM) method with Deep Learning Artificial Neural Network (ANN). The number of survey samples is 2,550 samples collected in Ho Chi Minh City, Vietnam. The Export via E-Commerce Platform (EEP) component is negatively impacted by the Legal Framework (LF) factor, according to the research findings of the PLS-SEM ANN research model. Export via an E-Commerce Platform (EEP) is positively impacted by elements related to the Digital Technology Platform (DTP) and Culture and Foreign Language (CFL).