IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-96-3133-9_24.html
   My bibliography  Save this book chapter

Chaos and Complexity Science: Interpretation and Extension in Entrepreneurship

In: A Theoretical Foundation for Innovation-Driven Entrepreneurship

Author

Listed:
  • Yuli Zhang

    (Nankai University)

  • He Huang

    (Gobi-Hitech Investment)

Abstract

Chaos is generally referred to in mathematics as a kind of nonlinear dynamic process (Krakauer et al., 2019). The most significant feature of chaos is that a tiny change in the initial conditions can result in a much bigger, unexpected change in the final outcome (Churchill & Bygrave, 1990). The same phenomena happens in entrepreneurial and innovative activities, especially in the context of digital economy organized by a ubiquitous network of digital technology. The analogy has interested scholars in exploring the common endogenous features in complex systems. this chapter describes the generalized characteristics of innovation and entrepreneurship driven by digital technology from the perspective of chaos and complexity science, and then proposes research topics that deserve further study in management science.

Suggested Citation

  • Yuli Zhang & He Huang, 2025. "Chaos and Complexity Science: Interpretation and Extension in Entrepreneurship," Springer Books, in: Li Cai & Baoshan Ge & Xueling Li & Xiaoyu Yu (ed.), A Theoretical Foundation for Innovation-Driven Entrepreneurship, chapter 0, pages 241-249, Springer.
    • Handle: RePEc:spr:sprchp:978-981-96-3133-9_24
    DOI: 10.1007/978-981-96-3133-9_24
    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

    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:sprchp:978-981-96-3133-9_24. 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.