Elderly tourism management: A bibliometric approach

  • Received July 6, 2023;
    Accepted September 14, 2023;
    Published September 25, 2023
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/im.19(3).2023.18
  • Article Info
    Volume 19 2023, Issue #3, pp. 211-225
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This work is licensed under a Creative Commons Attribution 4.0 International License

Elderly tourism constitutes an important sector within the sustainable development of the tourism industry, attracting an increasing body of research focused on market development. This study aims to outline the progression of elderly tourism research within the past five years (2019–2023) and determine prospective research trajectories and opportunities in the subject. Employing CiteSpace visual analysis technology, this investigation constructs knowledge graphs of authors, institutions, and countries from 332 English-language academic articles from the Web of Science and culminates a keyword co-occurrence knowledge graph. Next, cluster and burst analyses revealed the prevailing trends and focal points in elderly tourism research. The results underscore that while many researchers have been drawn to elderly tourism, the collaborative relationships between these scholars remain tenuous, resulting in the relatively disparate study and the absence of a lead author group. China dominates the field, producing a far greater quantity of studies than other nations. Hence, this study encourages different countries, higher education institutions and disciplines to strengthen cooperation in the management and development of elderly tourism, especially paying attention to the importance of elderly tourism services, quality management and technology integration for the sustainable development of elderly tourism.

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    • Figure 1. Knowledge map of authors’ cooperation
    • Figure 2. Knowledge map of the institutions’ cooperation
    • Figure 3. Knowledge map of countries’ cooperation on elderly tourism
    • Figure 4. Keyword co-occurrence knowledge map of elderly tourism research
    • Figure 5. Keyword cluster analysis map of elderly tourism research
    • Table 1. The systematic analysis in the tourism industry using a bibliometric method
    • Table 2. Publishing trends of elderly tourism
    • Table 3. The top 10 authors contributing to elderly tourism
    • Table 4. The top 10 institutions contributing to elderly tourism
    • Table 5. The top 10 countries contributing to the research on elderly tourism
    • Table 6. Major keywords in elderly tourism research
    • Table 7. Keyword clustering analysis results and representative keywords of elderly tourism research
    • Table 8. Keyword burst of elderly tourism research
    • Conceptualization
      Huixian Zhao, Songyu Jiang, Lin Fu, Xiaojun Ke
    • Data curation
      Huixian Zhao, Songyu Jiang, Lin Fu, Xiaojun Ke
    • Formal Analysis
      Huixian Zhao, Songyu Jiang, Lin Fu, Xiaojun Ke
    • Funding acquisition
      Huixian Zhao, Songyu Jiang, Lin Fu, Xiaojun Ke
    • Investigation
      Huixian Zhao, Songyu Jiang, Lin Fu, Xiaojun Ke
    • Methodology
      Huixian Zhao, Songyu Jiang, Lin Fu, Xiaojun Ke
    • Project administration
      Huixian Zhao, Songyu Jiang, Lin Fu, Xiaojun Ke
    • Resources
      Huixian Zhao, Songyu Jiang, Lin Fu, Xiaojun Ke
    • Validation
      Huixian Zhao, Songyu Jiang, Lin Fu, Xiaojun Ke
    • Visualization
      Huixian Zhao, Songyu Jiang, Lin Fu, Xiaojun Ke
    • Supervision
      Songyu Jiang, Xiaojun Ke
    • Writing – original draft
      Songyu Jiang, Lin Fu
    • Writing – review & editing
      Songyu Jiang, Lin Fu
    • Software
      Xiaojun Ke