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 Management-
dc.contributorDepartment of Computing-
dc.creatorHuang, GI-
dc.creatorWong, IA-
dc.creatorZhang, CJ-
dc.creator& Liang, Q-
dc.date.accessioned2025-01-21T06:23:07Z-
dc.date.available2025-01-21T06:23:07Z-
dc.identifier.issn0278-4319-
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.volume126-
dc.identifier.doi10.1016/j.ijhm.2025.104112-
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.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationInternational journal of hospitality management, Apr. 2025, v. 126, 104112-
dcterms.isPartOfInternational journal of hospitality management-
dcterms.issued2025-04-
dc.identifier.eissn1873-4693-
dc.identifier.artn104112-
dc.description.validate202501 bcrc-
dc.identifier.FolderNumbera3365en_US
dc.identifier.SubFormID50008en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextthe National Natural Science Foundation of Chinaen_US
dc.description.fundingTextPolyU (UGC) of the Hong Kong Special Administrative Region, Chinaen_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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Status embargoed access
Embargo End Date 2028-04-30
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