Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110750
DC FieldValueLanguage
dc.contributorSchool of Hotel and Tourism Managementen_US
dc.contributorDepartment of Computingen_US
dc.creatorHuang, GIen_US
dc.creatorWong, IAen_US
dc.creatorZhang, CJen_US
dc.creatorLiang, Qen_US
dc.date.accessioned2025-01-21T06:23:07Z-
dc.date.available2025-01-21T06:23:07Z-
dc.identifier.issn0278-4319en_US
dc.identifier.urihttp://hdl.handle.net/10397/110750-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectGenerative AIen_US
dc.subjectCustomer inspirationen_US
dc.subjectTransparency anxietyen_US
dc.subjectRecommendation acceptanceen_US
dc.titleGenerative AI inspiration and hotel recommendation acceptance : does anxiety over lack of transparency matter?en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume126en_US
dc.identifier.doi10.1016/j.ijhm.2025.104112en_US
dcterms.abstractThe advent of generative AI, such as ChatGPT, not only emulates the efficiency of standard AI chatbots in generating content at a faster pace, but it also excels in autonomously producing innovative content for business purposes. However, how Gen AI will inspire people to make decisions in the field of tourism and hospitality remains understudied. Drawing on theories of customer inspiration and fear acquisition, our study analyzed 424 questionnaires and found that the advanced ability of Gen AI to generate creative content can inspire customers and increase their willingness to accept its hotel recommendations. Nevertheless, the process of customer inspiration may face challenges due to anxiety arising from a lack of transparency. Theoretical and practical implications of leveraging Gen AI in the hospitality field are discussed.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationInternational journal of hospitality management, Apr. 2025, v. 126, 104112en_US
dcterms.isPartOfInternational journal of hospitality managementen_US
dcterms.issued2025-04-
dc.identifier.eissn1873-4693en_US
dc.identifier.artn104112en_US
dc.description.validate202501 bcrcen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera3365, a3645-
dc.identifier.SubFormID50008, 50563-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe National Natural Science Foundation of Chinaen_US
dc.description.fundingTextThe Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2028-04-30en_US
dc.description.TAGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2028-04-30
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