globusjournal

Consumer trust is a critical factor in the growth and sustainability of China’s e-commerce industry. The integration of Artificial Intelligence (AI), Blockchain technology, and User Experience (UX) design has played a transformative role in enhancing security, transparency, and user satisfaction. This study explores how these technological innovations contribute to building consumer trust, examining their impact on fraud prevention, transaction transparency, and overall shopping experience. Through an analysis of major Chinese e-commerce platforms such as Alibaba, JD.com, and Pinduoduo, this paper investigates the interplay between AI-driven personalization, blockchain-enabled security, and UX design improvements in fostering trust among consumers. The study employs a mixed-methods approach, utilizing survey data and case studies to provide comprehensive insights into the effectiveness of these technologies. The findings indicate that while AI and blockchain significantly reduce fraudulent activities, UX design improvements enhance consumer confidence by providing seamless and secure shopping experiences. The study concludes with recommendations for e-commerce platforms to leverage these technologies effectively to strengthen consumer trust.

Keywords: Artificial Intelligence, Blockchain, User Experience, Consumer Trust, E-Commerce, China.