IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-817-2_21.html

Post-Visit Behavior Analysis in a Water-Based Tourism Destination

In: Proceedings of the 9th Global Conference on Business, Management and Entrepreneurship (GCBME 2024)

Author

Listed:
  • Hariyanto Hariyanto

    (Universitas Pendidikan Indonesia)

  • Agus Rahayu

    (Universitas Pendidikan Indonesia)

  • Lili Adi Wibowo

    (Universitas Pendidikan Indonesia)

Abstract

This research aims to identify factors influencing post-visit behavior at the Lembang Wonderland water tourism destination in West Bandung. The study focuses on post-visit satisfaction, actions, and the use or disposal of experiences. Using factor analysis, data were gathered from 388 respondents sampled from a population of 13,488 visitors and analyzed with SPSS version 26. Results revealed two primary factors: the Service Factor with a loading factor of 0.762 and Culinary Taste with a loading factor of 0.789. Security emerged as the dominant indicator influencing post-visit behavior, with a loading factor of 0.812. This finding emphasizes the critical role of safety in encouraging repeat visits and positive word-of-mouth recommendations. The results offer valuable insights for tourism managers to develop strategies to enhance visitor experiences, increase loyalty, and boost revisit rates.

Suggested Citation

  • Hariyanto Hariyanto & Agus Rahayu & Lili Adi Wibowo, 2025. "Post-Visit Behavior Analysis in a Water-Based Tourism Destination," Advances in Economics, Business and Management Research, in: Ratih Hurriyati & Sulastri Sulastri & Lisnawati Lisnawati & Lili Adi Wibowo (ed.), Proceedings of the 9th Global Conference on Business, Management and Entrepreneurship (GCBME 2024), pages 167-176, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-817-2_21
    DOI: 10.2991/978-94-6463-817-2_21
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-817-2_21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.