Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/116343
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | School of Hotel and Tourism Management | en_US |
| dc.contributor | Department of Computing | en_US |
| dc.creator | Huang, GQI | en_US |
| dc.creator | Zhang, CJ | en_US |
| dc.creator | Zhou Torres, WC | en_US |
| dc.creator | Xiong, X | en_US |
| dc.creator | Li, H | en_US |
| dc.date.accessioned | 2025-12-18T01:16:08Z | - |
| dc.date.available | 2025-12-18T01:16:08Z | - |
| dc.identifier.issn | 0261-5177 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/116343 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd | en_US |
| dc.subject | Artificial intelligence | en_US |
| dc.subject | Human intelligence | en_US |
| dc.subject | Managerial responses | en_US |
| dc.subject | Moral responsibility | en_US |
| dc.subject | The Turing Test | en_US |
| dc.title | Responsible AI and human collaboration in tourism management : ethical considerations and identity disclosure | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 113 | en_US |
| dc.identifier.doi | 10.1016/j.tourman.2025.105315 | en_US |
| dcterms.abstract | Artificial 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.accessRights | embargoed access | en_US |
| dcterms.bibliographicCitation | Tourism management, Apr. 2026, v. 113, 105315 | en_US |
| dcterms.isPartOf | Tourism management | en_US |
| dcterms.issued | 2026-04 | - |
| dc.identifier.eissn | 1879-3193 | en_US |
| dc.identifier.artn | 105315 | en_US |
| dc.description.validate | 202512 bcch | en_US |
| dc.description.oa | Not applicable | en_US |
| dc.identifier.FolderNumber | a4220 | - |
| dc.identifier.SubFormID | 52291 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This 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.pubStatus | Published | en_US |
| dc.date.embargo | 2029-04-30 | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



