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Bibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023)

datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorPereira, José Marques
dc.contributor.authorAlmeida, Paulo
dc.contributor.authorAlmeida, Giovana Goretti Feijó
dc.date.accessioned2025-07-25T15:51:13Z
dc.date.available2025-07-25T15:51:13Z
dc.date.issued2025-02-19en_US
dc.date.updated2025-07-25T13:57:30Z
dc.description.abstractIn the scientific literature on tourism, a set of variables is frequently utilized. The objective of this study is to analyze the scenario of scientific publications on these variables between 2000 and 2023. This analysis employs a bibliometric approach, utilizing data collected from the Scopus database. The bibliometric method was employed, with a focus on five variables (tourism destination, competitiveness, image, quality, and satisfaction) and five indicators (author, year, country, journal, and affiliation) essential for mapping research patterns and identifying key trends in the field of tourism. The findings demonstrate that the five variables under examination are inherently interrelated. The image of the destination is of particular importance, as it influences the quality of life of residents and the experiences of tourists, which in turn affects the competitiveness of the destination. The results also demonstrate the multidimensional nature of these variables in shaping tourism destination dynamics. This study underscores the value of bibliometric analysis as a strategic tool for synthesizing and deepening tourism literature. The findings not only highlight the primary research contributions and trends but also identify gaps and opportunities for future research, thereby promoting continuous advancement in tourism knowledge and best practices.eng
dc.description.sponsorshipThis research was funded by CiTUR—Polytechnic University of Leiria/Projeto FAST Agenda ATT-PRR, Leiria, Portugal.-FAST-Agenda ATT-PRR Project: 0001/2024.
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.citation: Pereira, J. M., Almeida, P., & Almeida, G. G. F. (2025). Bibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023). Administrative Sciences, 15(2), 69. https://doi.org/10.3390/ admsci15020069
dc.identifier.doi10.3390/admsci15020069en_US
dc.identifier.issn2076-3387en_US
dc.identifier.slugcv-prod-4366444
dc.identifier.urihttp://hdl.handle.net/10400.8/13781
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relationFAST-Agenda ATT-PRR Project: 0001/2024
dc.relation.hasversionhttps://www.mdpi.com/2076-3387/15/2/69
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjecttourism destination
dc.subjectcompetitiveness tourism
dc.subjectdestination image
dc.subjectdestination quality
dc.subjecttourism satisfaction
dc.titleBibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023)eng
dc.typeresearch articleen_US
dspace.entity.typePublication
oaire.citation.endPage22
oaire.citation.issue2(69)en_US
oaire.citation.startPage1
oaire.citation.titleAdministrative Sciencesen_US
oaire.citation.volume15en_US
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAlmeida
person.familyNameFeijó de Almeida
person.givenNamePaulo
person.givenNameGiovana Goretti
person.identifierI-2491-2016 
person.identifier.ciencia-id4A1F-A8CE-A5AE
person.identifier.ciencia-idFC11-5731-844C
person.identifier.orcid0000-0002-4797-2128
person.identifier.orcid0000-0003-0956-1341
person.identifier.scopus-author-id56865721100
rcaap.cv.cienciaidFC11-5731-844C | Giovana Goretti Feijó de Almeida
rcaap.rightsopenAccessen_US
relation.isAuthorOfPublicationc07f3721-624d-4e31-83eb-62c9ffbf5cba
relation.isAuthorOfPublication8c2f5dc3-1b93-45c0-8749-3b657791e12e
relation.isAuthorOfPublication.latestForDiscoveryc07f3721-624d-4e31-83eb-62c9ffbf5cba

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