IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-03973-2_64.html
   My bibliography  Save this book chapter

Constructing a Data Warehouse Based Decision Support Platform for China Tourism Industry

In: Information and Communication Technologies in Tourism 2014

Author

Listed:
  • Xiangjie Qiao

    (Beijing Union University)

  • Lingyun Zhang

    (Beijing Union University)

  • Nao Li

    (Beijing Union University)

  • Wei Zhu

    (Beijing Union University)

Abstract

Rapid development of China’s tourism industry has brought new challenges to tourism public management and service systems. How to adapt to highly complex tourism market changes, to formulate reasonable development strategies, to meet the demand of independent, flexible, personalized tourism service requirements, and to acquire long-term sustainable development and maintenance of the tourism industry have become major issues for developing the current tourism industry in China. The big data based concept has provided research ideas and solutions for the innovation of tourism public management and service systems. A decision-making support and data analysis platform based on data warehousing is put forward in this paper; business intelligence is introduced into the platform as well. The framework of the platform, some key steps of implementation, and application cases are discussed in the paper. Through our research, it is expected to provide a resource for other countries who are trying to build a similar data warehouse application for their tourism industry.

Suggested Citation

  • Xiangjie Qiao & Lingyun Zhang & Nao Li & Wei Zhu, 2013. "Constructing a Data Warehouse Based Decision Support Platform for China Tourism Industry," Springer Books, in: Zheng Xiang & Iis Tussyadiah (ed.), Information and Communication Technologies in Tourism 2014, edition 127, pages 883-893, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-03973-2_64
    DOI: 10.1007/978-3-319-03973-2_64
    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 search for a similarly titled item that would be available.

    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:sprchp:978-3-319-03973-2_64. 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.