Study1-202600121

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Authors: Ying Xu
Cited by: 0

Abstract

Data collection No, no data have been collected for this study yet. Hypothesis When the agent type is Gen AI (human), consumers are more willing to adopt alternative customized itineraries. Dependent variable The measurement of consumers’ adoption of alternative customized itinerary was adapted from Fridin & Belokopytov (2014) and Chua et al. (2023), consisting of three items: “How likely are you to adopt the alternative customized itinerary designed by the service agent for you?”, “To what extent do you accept the alternative customized itinerary designed by the service agent for you?”, and “To what extent are you willing to follow the alternative customized itinerary designed by the service agent for you?”. Conditions This study employed a single-factor between-subjects design with agent type (Gen AI vs. human). Analyses ANOVA will be conducted to test the hypothesis. Outliers and Exclusions Sample Size This study aims to collect N = 140 in Prolific. Deviations from this goal are due to Prolific system or exclusion criteria indicated above, and thus outside of our control. Other No data Name No data Type of Project Experiment Other No data

Fields of Study & Subjects

AI in Service Interactions Technology Adoption and User Behaviour Diverse Aspects of Tourism Research

Publication details

Publication date
1 January 2026
Language
EN
Document type
Preprint