Adoption Intention of Generative AI Chatbots among Students: Development of an Extended Value-Based Adoption Framework

Abstract

The demand for innovation such as Generative Artificial Intelligence (Gen-AI) Chatbots are increasing exponentially for self-learning in higher educational institutions (HEIs) worldwide. The previous researchers had suggested that Gen-AI chatbots could be utilized to achieve academic excellence in HEIs. The main objective of this research is to develop a conceptual framework for understanding adoption of Gen-AI chatbots among students of Higher Education in Uttarakhand. This was accomplished through a systematic literature review of the publications retrieved from the two well-known databases, Scopus and Web of Science (WoS). A step-by-step process is followed to retrieve the published literature on Gen-AI Chatbots adoption in higher education. The results proposed extending Value-based adoption model by incorporating attitude as an additional mediating construct and adding social influence, personal innovativeness, self-efficacy and removing and replacing perceived fee with perceived cost as predictors of mediating constructs towards adoption intention of Gen AI Chatbots among students in HEIs.