Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116343
DC FieldValueLanguage
dc.contributorSchool of Hotel and Tourism Managementen_US
dc.contributorDepartment of Computingen_US
dc.creatorHuang, GQIen_US
dc.creatorZhang, CJen_US
dc.creatorZhou Torres, WCen_US
dc.creatorXiong, Xen_US
dc.creatorLi, Hen_US
dc.date.accessioned2025-12-18T01:16:08Z-
dc.date.available2025-12-18T01:16:08Z-
dc.identifier.issn0261-5177en_US
dc.identifier.urihttp://hdl.handle.net/10397/116343-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectArtificial intelligenceen_US
dc.subjectHuman intelligenceen_US
dc.subjectManagerial responsesen_US
dc.subjectMoral responsibilityen_US
dc.subjectThe Turing Testen_US
dc.titleResponsible AI and human collaboration in tourism management : ethical considerations and identity disclosureen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume113en_US
dc.identifier.doi10.1016/j.tourman.2025.105315en_US
dcterms.abstractArtificial Intelligence has evolved from mimicking to enhancing or even surpassing human capabilities in specialized domains. Building on Turing's test and the theory of moral responsibility, this research delves into the ethical and perceptual dimensions of AI-generated content in tourism management through three studies. Study 1 (N=1400) assesses tourists' ability to distinguish AI-generated from human managerial responses and examines their perceptions of responsibility. Study 2 (N=700) develops and validates a multidimensional scale to measure Responsible AI within the tourism industry. Study 3 (N=600) uses a scenario-based experiment to evaluate how collaborative AI-human responses, compared to AI-only or human-only responses, influence tourists' attributions of responsibility and satisfaction, especially when the origin of the response is transparently disclosed. This research advances frameworks for responsible AI in tourism management and emphasizes ethical openness to align technological advances with societal well-being.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTourism management, Apr. 2026, v. 113, 105315en_US
dcterms.isPartOfTourism managementen_US
dcterms.issued2026-04-
dc.identifier.eissn1879-3193en_US
dc.identifier.artn105315en_US
dc.description.validate202512 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera4220-
dc.identifier.SubFormID52291-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research is supported by PolyU of the Hong Kong Special Administrative Region, China (Project No. P0053689, P0048183, P0048566, P0058790) and the Natural Science Foundation of Sichuan Province (No. 2025NSFSC1941).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2029-04-30en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2029-04-30
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