Electronic Resource
Article - Driving Consumer Engagement Through AI Chatbot Experience: The Mediating Role of Satisfaction Across Generational Cohorts and Gender in Travel Tourism Vol. 17, No. 17, Pasal (Article) 7673
This study explores how AI chatbot experiences on travel websites influence consumer
engagement, with satisfaction from using AI chatbots as a mediating factor. Grounded in
the Stimulus-Organism-Response (S-O-R) framework, the research shifts the focus from
utilitarian models to examine how chatbot attributes—e.g., ease of use, information quality,
security, anthropomorphism, and omnipresence—affect satisfaction of using AI chatbots
and subsequent consumer engagement behaviours. Survey data from 519 Portuguese trav-
ellers were analysed using partial least squares structural equation modelling (PLS-SEM).
The study contributes to theory by (1) demonstrating S-O-R’s advantages over utilitarian
models in capturing relational and emotional dimensions of AI interactions, (2) identifying
satisfaction with using AI chatbots as a pivotal mediator between AI chatbot experience
and consumer engagement, and (3) revealing generational disparities in drivers of en-
gagement. Notably, satisfaction strongly influences engagement for Generation X, while
direct experience matters more for Generation Z. Millennials exhibit a distinct preference
for hybrid human–AI service handoffs. The practical implications include prioritizing
natural language processing for ease of use, implementing generational customization
(e.g., gamification for Gen Z, reliability assurances for Gen X), and ensuring seamless
human escalation for Millennials. These insights equip travel businesses to design AI
chatbots that foster long-term loyalty and competitive differentiation.
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