AI-Generated Videos: Influencing Trustworthiness, Awe, and Behavioral Intention in Space Tourism E-Commerce

This study explores the effectiveness of artificial intelligence-generated videos (AIGV) as a scalable enabling technology within the e-commerce sector. It investigates the potential of AIGV to enhance marketing efficacy through the simulation of product experiences, with a particular focus on space tourism. A notable gap exists in the current understanding of how the attributes of AIGV and individual perceptions influence critical consumer responses in the context of space tourism e-commerce. This gap specifically pertains to their effects on trustworthiness, awe, and behavioral intentions, with an emphasis on the underlying mediating mechanisms. Purposive sampling was employed to gather samples, and partial least squares structural equation modeling (PLS-SEM) was utilized for data analysis. The results reveal that both AIGV attributes and personal perceptions exert a significant influence on trustworthiness, awe, and behavioral intentions within the context of space tourism e-commerce. Awe serves as a central mediating construct between AIGV attributes and behavioral intention, while also mediating the relationship between perceived risk and behavioral intention. In contrast, trustworthiness solely mediates the pathway between perceived risk and behavioral intention. The findings present novel theoretical insights into AI-driven consumer behavior within experiential e-commerce contexts. They also offer practical guidance for the effective implementation of the AIGV. Moreover, this study underscores the necessity for ethical frameworks to regulate consumer trust in AI-dominated marketplaces.