IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v25y2023i1d10.1007_s40558-023-00243-2.html
   My bibliography  Save this article

Applied data science in tourism (Interdisciplinary approaches, methodologies, and applications

Author

Listed:
  • Omid Oshriyeh

    (University of South Carolina)

Abstract

No abstract is available for this item.

Suggested Citation

  • Omid Oshriyeh, 2023. "Applied data science in tourism (Interdisciplinary approaches, methodologies, and applications," Information Technology & Tourism, Springer, vol. 25(1), pages 133-136, March.
  • Handle: RePEc:spr:infott:v:25:y:2023:i:1:d:10.1007_s40558-023-00243-2
    DOI: 10.1007/s40558-023-00243-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-023-00243-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40558-023-00243-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mazanec, Josef A., 2020. "Hidden theorizing in big data analytics: With a reference to tourism design research," Annals of Tourism Research, Elsevier, vol. 83(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Montserrat Jiménez-Partearroyo & Ana Medina-López & Sudhir Rana, 2024. "Business intelligence and business analytics in tourism: insights through Gioia methodology," International Entrepreneurship and Management Journal, Springer, vol. 20(3), pages 2287-2321, September.
    2. Yanan Jia & Anshul Garg & Peihua Shi, 2024. "Research on Factors Influencing Hotel Consumers’ Health: A Systematic Review and Ways Forward," Sustainability, MDPI, vol. 16(5), pages 1-17, March.
    3. Papatheodorou, Andreas, 2021. "A review of research into air transport and tourism," Annals of Tourism Research, Elsevier, vol. 87(C).
    4. Yu, Joanne & Egger, Roman, 2021. "Color and engagement in touristic Instagram pictures: A machine learning approach," Annals of Tourism Research, Elsevier, vol. 89(C).
    5. Weaver, Adam, 2021. "Tourism, big data, and a crisis of analysis," Annals of Tourism Research, Elsevier, vol. 88(C).

    More about this item

    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:infott:v:25:y:2023:i:1:d:10.1007_s40558-023-00243-2. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.