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Defining the Balearic Islands’ Tourism Data Space: An Approach to Functional and Data Requirements

Author

Listed:
  • Dolores Ordóñez-Martínez

    (Anysolution, S.L., 07010 Palma, Spain
    Geography Department, University of the Balearic Islands, 07122 Palma, Spain)

  • Joana M. Seguí-Pons

    (Geography Department, University of the Balearic Islands, 07122 Palma, Spain)

  • Maurici Ruiz-Pérez

    (Geography Department, University of the Balearic Islands, 07122 Palma, Spain)

Abstract
The definition of a tourism data space (TDS) in the Balearic Islands is a complex process that involves identifying the types of questions to be addressed, including analytical tools, and determining the type of information to be incorporated. This study delves into the functional requirements of a Balearic Islands’ TDS based on the study of scientific research carried out in the field of tourism in the Balearic Islands and drawing comparisons with international scientific research in the field of tourism information. Utilizing a bibliometric analysis of the scientific literature, this study identifies the scientific requirements that should be met for the development of a robust, rigorous, and efficient TDS. The goal is to support excellent scientific research in tourism and facilitate the transfer of research results to the productive sector to maintain and improve the competitiveness of the Balearic Islands as a tourist destination. The results of the analysis provide a structured framework for the construction of the Balearic Islands’ TDS, outlining objectives, methods to be implemented, and information to be considered.

Suggested Citation

  • Dolores Ordóñez-Martínez & Joana M. Seguí-Pons & Maurici Ruiz-Pérez, 2024. "Defining the Balearic Islands’ Tourism Data Space: An Approach to Functional and Data Requirements," Data, MDPI, vol. 9(3), pages 1-31, February.
    • Handle: RePEc:gam:jdataj:v:9:y:2024:i:3:p:41-:d:1348862
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    References listed on IDEAS

    as
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    2. Deukhee Park & Sunmi Yun, 2023. "Comparing Tourism Activity Patterns Influenced by a Tourism Information Source: A Case of the Gyeonggi Province, South Korea," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
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    6. Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
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