IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-052-7_84.html

Research on the ByteDance’s Approach to Develop TikTok

In: Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022)

Author

Listed:
  • Yicheng Zhu

    (University of Edinburgh Business School)

Abstract

TikTok has become the hottest application around the world in recent years, and its revenue has surpassed YouTube in the App Store, becoming the highest revenue application in the video category [1]. This dissertation is to demonstrate its success through theories, models, and reasonings behind its success. The research question is how ByteDance cultivates TikTok and other applications through innovation. There are two questions needed to be answered. The first is why ByteDance is able to develop a large number of applications and the quality of the applications is also excellent. The second question is why TikTok become the core business line today and what happens to the first core business. To answer those questions, this dissertation applies the literature research method as the guiding principle to explore these questions. This method requires analogy and inference to explain the research question. The research conclusion is that ByteDance deploys an emergent strategy and bottom-up innovation model to develop a large number of quality applications in a short time. The rise of TikTok is due to combined factors of macro market trends and the creation of The Second Curve.

Suggested Citation

  • Yicheng Zhu, 2022. "Research on the ByteDance’s Approach to Develop TikTok," Advances in Economics, Business and Management Research, in: Faruk Balli & Au Yong Hui Nee & Sikandar Ali Qalati (ed.), Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022), pages 734-742, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-052-7_84
    DOI: 10.2991/978-94-6463-052-7_84
    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:978-94-6463-052-7_84. 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.