Study of the factors that influence the tourism sector's acceptance of the use of ChatGPT
| dc.conference.date | 21-26 Jul 2024 | |
| dc.conference.place | Universidad Complutense de Madrid | |
| dc.conference.title | Proceedings of the 16th FLINS Conference on Computational Intelligence in Decision and Control & the 19th ISKE Conference on Intelligence Systems and Knowledge Engineering (FLINS-ISKE 2024) | |
| dc.contributor.author | Galán Hernández, José Javier | |
| dc.contributor.author | Marín Díaz, Gabriel | |
| dc.contributor.editor | Kerre, Etienne E | |
| dc.contributor.editor | Lu, Jie | |
| dc.contributor.editor | Martínez, Luis | |
| dc.contributor.editor | Li, Tianrui | |
| dc.contributor.editor | Montero, Javier | |
| dc.contributor.editor | Flores-Vidal, Pablo | |
| dc.date.accessioned | 2026-01-12T15:46:19Z | |
| dc.date.available | 2026-01-12T15:46:19Z | |
| dc.date.issued | 2024-07-21 | |
| dc.description.abstract | The interest in the use of the ChatGpt tool by professionals in the tourism sector is increasing, but the acceptance of this tool by these professionals is not the same for all, there being different factors that affect its acceptance. In this chapter, first, the interest in this topic is demonstrated by means of a bibliometric study formed by related scientific publications, second, a co-occurrence study is carried out on the publications found to determine the most significant variables, and, from them, lastly, to obtain the factors mentioned at the beginning, thus creating a theoretical adaptation of the technological adaptation model, that model how the tourism sector comes to accept and use ChatGpt. With this information, a company in the tourism sector has a theoretical evaluation model to measure the degree of acceptance of its workers toward ChatGpt tools, being able to distinguish the strongest points and having the opportunity to establish an adaptation strategy according to the weakest points. | |
| dc.description.department | Depto. de Sistemas Informáticos y Computación | |
| dc.description.faculty | Fac. de Estudios Estadísticos | |
| dc.description.refereed | TRUE | |
| dc.description.sponsorship | SIN FINANCIACIÓN | |
| dc.description.status | pub | |
| dc.identifier.citation | Galán Hernández, J. J., & Marín Díaz, G. (2024). Study of the Factors that Influence the Tourism Sector’s Acceptance of the Use of ChatGPT. In Intelligent Management of Data and Information in Decision Making (pp. 419–426). https://doi.org/10.1142/9789811294631_0052 | |
| dc.identifier.doi | 10.1142/13882 | |
| dc.identifier.issn | 2972-4465 | |
| dc.identifier.officialurl | https://www.worldscientific.com/worldscibooks/10.1142/13882 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/129927 | |
| dc.language.iso | eng | |
| dc.page.final | 426 | |
| dc.page.initial | 419 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject.cdu | 004.8 | |
| dc.subject.cdu | 338.48 | |
| dc.subject.cdu | 658.8 | |
| dc.subject.cdu | 303.4 | |
| dc.subject.cdu | 366:159.9.019.43 | |
| dc.subject.cdu | 159.9.019.43:366 | |
| dc.subject.keyword | TAM | |
| dc.subject.keyword | tourism | |
| dc.subject.keyword | route | |
| dc.subject.keyword | trip | |
| dc.subject.keyword | trip | |
| dc.subject.ucm | Inteligencia artificial (Informática) | |
| dc.subject.ucm | Turismo | |
| dc.subject.ucm | Marketing | |
| dc.subject.ucm | Técnicas de Investigación Social | |
| dc.subject.unesco | 1203.04 Inteligencia Artificial | |
| dc.subject.unesco | 6114.13 Marketing | |
| dc.subject.unesco | 6114.06 Comportamiento del Consumidor | |
| dc.title | Study of the factors that influence the tourism sector's acceptance of the use of ChatGPT | |
| dc.type | conference paper | |
| dc.type.hasVersion | AM | |
| dspace.entity.type | Publication |
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