Abstract
The use of generative artificial intelligence (GenAI) chatbots in brands is growing exponentially,
and higher education institutions are not unaware of how such tools effectively shape
the attitudes and behavioral intentions of students. These chatbots are able to synthesize
an enormous amount of data input and can create contextually aware, human-like conversational
content that is not limited to simple scripted responses. This study examines the
factors that determine chatbot brand trust in the adoption of GenAI in higher education.
By extending the Technology Acceptance Model (TAM) with the construct of brand trust,
the study introduces a novel contribution to the literature, offering fresh insights into how
trust in GenAI chatbots is developed within the academic context. Using the convenience
sampling technique, a sample of 609 students from public universities in North Central
and Southwestern Nigeria was selected. The collected data were analyzed via partial least
squares structural equation modelling. The results indicated that attitudes toward chatbots
determine behavioral intentions and GenAI chatbot brand trust. Surprisingly, behavioral
intentions do not affect GenAI chatbot brand trust. Similarly, the perceived ease of use
of chatbots does not determine behavioral intention or attitudes toward GenAI chatbot
adoption but rather determines perceived usefulness. Additionally, the perceived usefulness
of chatbots affects behavioral intention and attitudes toward GenAI chatbot adoption.
Moreover, social influence affects behavioral intention, perceived ease of use, perceived
usefulness and attitudes toward GenAI chatbot adoption. The implications of the findings
for higher education institutions are that homegrown GenAI chatbots that align with the
principles of the institution should be developed, creating an environment that promotes
a positive attitude toward these technologies. Specifically, the study recommends that
policymakers and university administrators establish clear institutional guidelines for the
design, deployment, and ethical use of homegrown GenAI chatbots, ensuring alignment
with educational goals and safeguarding student trust.