Exploring the Impact of Information Characteristics on Perceived Value, Attitude, and Behavioural Intention for Travel Information Provided by GAI (Generative Artificial Intelligence)

Saerom Wang () and Tae-Hwan Yoon ()
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Saerom Wang: Dong-Eui University
Tae-Hwan Yoon: Dong-Eui University

A chapter in XR and Metaverse, 2025, pp 141-156 from Springer

Abstract: Abstract As more people seek travel information through search engines, websites, and social media, the sheer volume of data can be overwhelming and impersonal. Generative Artificial Intelligence (GAI) technologies are revolutionizing travel information retrieval by offering personalized recommendations based on user preferences, past experiences, and real-time data. However, challenges such as data biases and trust issues persist. This study explores how GAI, specifically ChatGPT, affects users’ perceived value, attitudes, and behavioural intentions to enhance GAI adoption and effectiveness in travel planning. Results indicate that completeness, usefulness and easiness of the information information boosts functional benefits, relevancy and usefulness enhance user enjoyment. Usefulness of the information is vital for both utility and enjoyment, while some other factors do not significantly impact perceived value, suggesting only certain information characteristics influence user perceptions.

Keywords: Generative artificial intelligence (GAI); ChatGPT; Travel information; Information characteristics; Perceived value; Attitude (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-77975-6_11

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DOI: 10.1007/978-3-031-77975-6_11

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