Users’ intention to adopt artificial intelligence-based chatbot: a meta-analysis

Abstract

ABSTRACT Due to contradictory findings in existing literature, the understanding of the adoption intention of AI-based chatbots has been limited. Hence, the objective of this paper is to perform a meta-analysis to investigate the determinants that impact users' usage intention of AI-based chatbots. A total of 54 published articles with a combined sample size of 18,266 were included in our study. The findings suggest that attitude, perceived usefulness, and trust are critical factors for the adoption of AI-based chatbots. Furthermore, the study also found that economic level and gender have moderating effects on certain relationships, such as economic level has a moderating effect on the relationship between attitude and usage intention. The results of this study make substantial contributions to both practical and theoretical domains.