Publication
Artificial Intelligence and sustainable tourism planning: a hetero-intelligence methodology proposal
| dc.contributor.author | Buitrago-Esquinas, Eva Maria | |
| dc.contributor.author | Yñiguez-Ovando, Rocío | |
| dc.contributor.author | Puig-Cabrera, Miguel | |
| dc.contributor.author | Custódio Santos, Margarida | |
| dc.contributor.author | Santos, José António C. | |
| dc.date.accessioned | 2024-09-24T11:45:58Z | |
| dc.date.available | 2024-09-24T11:45:58Z | |
| dc.date.issued | 2024-06-25 | |
| dc.description.abstract | This study explores the growing significance of Large Language Models (LLMs) in tourism, for their current and potential applications. It aims to achieve two primary objectives: first, to develop a novel heterointelligence framework merging human and artificial intelligence (AI) to address contemporary sustainability challenges in tourism; second, to validate this framework by applying it to sustainable tourism planning, assessing LLMs' capabilities and limitations. The research employs a hetero-intelligence performance test, contrasting human intelligence and AI contributions in sustainable tourism planning with overtourism as a proxy challenge. Results showed that hetero-intelligence could effectively address sustainability issues in tourism, provided human and AI strengths and weaknesses are understood. LLMs proved useful in diagnosing and proposing solutions for sustainability-related issues. However, a rigorous methodological framework is essential to ensure unbiased outcomes. The research offers practical guidelines for applying this approach and significantly contributes to epistemological and empirical dimensions, providing valuable insights for researchers and tourism planners. The study calls for more empirical research to validate the methodology and explore ethical and legal dimensions, extending hetero-intelligence applications to broader sustainability challenges in tourism. | eng |
| dc.description.sponsorship | SEJ132; SEJ 258 | |
| dc.identifier.doi | 10.18089/tms.2024si04 | |
| dc.identifier.issn | 2182-8466 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/25927 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | School of Management, Hospitality and Tourism, University of the Algarve | |
| dc.relation | Research Centre for Tourism, Sustainability and Well-being | |
| dc.relation.ispartof | Tourism & Management Studies | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Sustainable tourism planning | |
| dc.subject | Hetero-intelligent performance testing | |
| dc.subject | Human intelligence | |
| dc.subject | Conversational generative Large language models | |
| dc.subject | ChatGPT | |
| dc.title | Artificial Intelligence and sustainable tourism planning: a hetero-intelligence methodology proposal | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre for Tourism, Sustainability and Well-being | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04020%2F2020/PT | |
| oaire.citation.issue | SI | |
| oaire.citation.startPage | 45 | |
| oaire.citation.title | Tourism & Management Studies | |
| oaire.citation.volume | 20 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Puig-Cabrera | |
| person.familyName | Custódio Santos | |
| person.familyName | Santos | |
| person.givenName | Miguel | |
| person.givenName | Margarida | |
| person.givenName | José António C. | |
| person.identifier.ciencia-id | 4816-E98C-E353 | |
| person.identifier.ciencia-id | B919-91DD-CFD9 | |
| person.identifier.ciencia-id | A71F-B4FC-F35C | |
| person.identifier.orcid | 0000-0003-4524-9830 | |
| person.identifier.orcid | 0000-0003-3383-5699 | |
| person.identifier.orcid | 0000-0002-2675-3487 | |
| person.identifier.rid | U-9656-2019 | |
| person.identifier.scopus-author-id | 57192278257 | |
| person.identifier.scopus-author-id | 57198436773 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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