Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107064
DC FieldValueLanguage
dc.contributorSchool of Hotel and Tourism Management-
dc.creatorHsu, CHC-
dc.creatorTan, G-
dc.creatorStantic, B-
dc.date.accessioned2024-06-12T05:52:42Z-
dc.date.available2024-06-12T05:52:42Z-
dc.identifier.issn0160-7383-
dc.identifier.urihttp://hdl.handle.net/10397/107064-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectAI ethicsen_US
dc.subjectChatGPTen_US
dc.subjectFine-tuningen_US
dc.subjectGenerative AIen_US
dc.subjectLarge language modelen_US
dc.titleA fine-tuned tourism-specific generative AI concepten_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume104-
dc.identifier.doi10.1016/j.annals.2023.103723-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationAnnals of tourism research, Jan. 2024, v. 104, 103723-
dcterms.isPartOfAnnals of tourism research-
dcterms.issued2024-01-
dc.identifier.scopus2-s2.0-85182365044-
dc.identifier.eissn1873-7722-
dc.identifier.artn103723-
dc.description.validate202406 bcch-
dc.identifier.FolderNumbera2797en_US
dc.identifier.SubFormID48390en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work described in this paper was supported by a grant from The Hong Kong Polytechnic University (Work Program ZE2U).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-01-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2027-01-31
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