Investigation of consumer cross-border e-commerce shopping in China using the theory of EAM

Abstract

Given that China's cross-border e-commerce (CBEC) industry has garnered significant attention from various overseas suppliers, this study aims to explore the CBEC shopping patterns of domestic Chinese consumers. The objective of the study is to integrate the theory of the e-commerce acceptance model (EAM) and multi-target trust to forecast the cross-border e-commerce shopping (CBECS) behavior of domestic Chinese consumers. PLS-based structural equation modeling analysis indicates that the CBECS intention is significantly influenced by perceived usefulness, perceived ease of use, and perceived risk. With regard to multi-target trust, seller trust impacts perceived risk and ease of use, whereas logistics trust influences perceived usefulness and perceived ease of use. Platform trust influences both seller trust and logistics trust. These results contribute to the advancement of CBEC literature and practices.