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

Author

Listed:
  • José Marques Pereira

    (Projeto FAST-Agenda ATT-PRR, CiTUR-Polytechnic University of Leiria, 2411-901 Leiria, Portugal)

  • Paulo Almeida

    (Projeto FAST-Agenda ATT-PRR, CiTUR-Polytechnic University of Leiria, 2411-901 Leiria, Portugal)

  • Giovana Goretti Feijó Almeida

    (Projeto FAST-Agenda ATT-PRR, CiTUR-Polytechnic University of Leiria, 2411-901 Leiria, Portugal)

Abstract

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.

Suggested Citation

  • José Marques Pereira & Paulo Almeida & Giovana Goretti Feijó Almeida, 2025. "Bibliometric Analysis of Key Variables in Tourism: Destination, Competitiveness, Image, Quality, and Tourist Satisfaction (2000–2023)," Administrative Sciences, MDPI, vol. 15(2), pages 1-22, February.
    • Handle: RePEc:gam:jadmsc:v:15:y:2025:i:2:p:69-:d:1594713
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    References listed on IDEAS

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    1. Hong He & Shouheng Tuo & Kewei Lei & Aixiong Gao, 2024. "Assessing quality tourism development in China: an analysis based on the degree of mismatch and its influencing factors," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(4), pages 9525-9552, April.
    2. Guiling Wang & Lei Ye, 2022. "Spatial-Temporal Pattern of Mismatch Degree of High-Quality Tourism Development and Its Formation Mechanism in Taihu Lake Basin, China," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
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