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ABSTRACT
In this work, data is collected through a questionnaire evaluating factors, such as informativeness from AI, recommendations via AI, social media, customer purchase behavior, learning new strategies, and online tourism marketing influence. The data underwent analysis using the Statistical Package for Social Sciences (SPSS), which allowed us to perform various analysis methods, such as ANOVA analysis to establish statistically significant relationships between the independent variables. The analysis indicates that AI-driven informativeness and AI-based recommendations have a significant influence on travel decision-making. On the other hand, social media does not have a significant impact on travel decision-making. However, for tourism product selling, customer purchase behavior and online tourism marketing have a significant impact, whereas learning new strategies does not affect tourism product selling.
Disclosure statement
No potential conflict of interest was reported by the authors.