IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-441-9_33.html

Research on Localized Operation Strategies of Industry Chain of Classic IP in the Pan Entertainment Era

In: Proceedings of the 2023 International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2023)

Author

Listed:
  • Tianji Liang

    (The Albany Academies)

Abstract

With the rapid development of mobile Internet, the pan-entertainment industry has become an important part of the global cultural industry. In this context, the localization operation strategy of the classic IP industry chain has become an important research topic. Taking the world-famous IP Disney as an example, this paper studies a series of localization measures after Disney settled in Shanghai, including localization of visual symbols, localization of catering services, localization of theme performances and so on. Shanghai Disney has made outstanding achievements in the localization operation of the classic IP industry chain, and has also brought inspiration to multinational enterprises in terms of products, channels, prices and promotion. This paper explores the experience that Shanghai Disney can learn from in the process of localization, and provides reference for multinational enterprises to improve the influence and competitiveness of classic IP in the local market.

Suggested Citation

  • Tianji Liang, 2024. "Research on Localized Operation Strategies of Industry Chain of Classic IP in the Pan Entertainment Era," Advances in Economics, Business and Management Research, in: Peng Dou & Keying Zhang (ed.), Proceedings of the 2023 International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2023), pages 364-373, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-441-9_33
    DOI: 10.2991/978-94-6463-441-9_33
    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:978-94-6463-441-9_33. 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.