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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v9i4.14963</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Adoption Willingness of Generative Artificial Intelligence in Tourism Decision- Making Among Young Tourists: Based on the Anthropomorphic Perspective and an Improved UTAUT2 Model</title><url>https://artdesignp.com/journal/PBES/9/4/10.26689/pbes.v9i4.14963</url><author>LuoPianpian</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>9</volume><issue>4</issue><history><date date-type="pub"><published-time>2026-06-03</published-time></date></history><abstract>With the explosive growth of generative artificial intelligence (AIGC), it is profoundly transforming the travel decision-making paradigm of young tourists as a new decision-making support tool. Based on an improved Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), this study introduces anthropomorphic traits and perceived risk to construct a model of the influencing mechanism of young tourists’ willingness to adopt AIGC. Through structural equation modeling (SEM) analysis of 266 valid samples, it was found that: (1) Hedonic motivation is the primary driver of young tourists’ willingness to adopt, followed by performance expectancy and effort expectancy; (2) Anthropomorphic traits significantly positively drive perceived benefits through a fully mediating pathway, thereby indirectly enhancing adoption willingness; (3) The young group exhibits significant risk “desensitization” characteristics, with perceived risk having no significant impact on willingness; (4) AI literacy has no significant moderating effect in the adoption pathway, validating the “egalitarian” nature of AIGC technology. 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