Bibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023)
In 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 data...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Administrative Sciences |
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| Online Access: | https://www.mdpi.com/2076-3387/15/2/69 |
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| author | José Marques Pereira Paulo Almeida Giovana Goretti Feijó Almeida |
| author_facet | José Marques Pereira Paulo Almeida Giovana Goretti Feijó Almeida |
| author_sort | José Marques Pereira |
| collection | DOAJ |
| description | In 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. |
| format | Article |
| id | doaj-art-ce564e77cf47470dbca3dbd4ba7e3ceb |
| institution | DOAJ |
| issn | 2076-3387 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Administrative Sciences |
| spelling | doaj-art-ce564e77cf47470dbca3dbd4ba7e3ceb2025-08-20T03:11:05ZengMDPI AGAdministrative Sciences2076-33872025-02-011526910.3390/admsci15020069Bibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023)José Marques Pereira0Paulo Almeida1Giovana Goretti Feijó Almeida2Projeto FAST-Agenda ATT-PRR, CiTUR-Polytechnic University of Leiria, 2411-901 Leiria, PortugalProjeto FAST-Agenda ATT-PRR, CiTUR-Polytechnic University of Leiria, 2411-901 Leiria, PortugalProjeto FAST-Agenda ATT-PRR, CiTUR-Polytechnic University of Leiria, 2411-901 Leiria, PortugalIn 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.https://www.mdpi.com/2076-3387/15/2/69tourism destinationcompetitiveness tourismdestination imagedestination qualitytourism satisfaction |
| spellingShingle | José Marques Pereira Paulo Almeida Giovana Goretti Feijó Almeida Bibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023) Administrative Sciences tourism destination competitiveness tourism destination image destination quality tourism satisfaction |
| title | Bibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023) |
| title_full | Bibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023) |
| title_fullStr | Bibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023) |
| title_full_unstemmed | Bibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023) |
| title_short | Bibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023) |
| title_sort | bibliometric analysis of key variables in tourism destination competitiveness image quality and tourist satisfaction 2000 2023 |
| topic | tourism destination competitiveness tourism destination image destination quality tourism satisfaction |
| url | https://www.mdpi.com/2076-3387/15/2/69 |
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