IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-662-43871-8_169.html
   My bibliography  Save this book chapter

Collaborative Innovation Model Research Based on Knowledge-Supernetwork and TRIZ

In: Liss 2014

Author

Listed:
  • Ting Chen

    (University of Electronic Science and Technology of China
    TianFu College of Southwestern University of Finance and Economics)

  • Yunfei Shao

    (TianFu College of Southwestern University of Finance and Economics)

  • Yujun Han

    (TianFu College of Southwestern University of Finance and Economics)

Abstract

Technology innovation involves both the market development and technical development in the technology commercialization process. This article builds a Knowledge-Supernetwork model to describe the various knowledge elements and innovation actors elements involved in the collaborative innovation process. And the innovation activities of knowledge acquisition, knowledge integration, R&D innovation problems mining, R&D innovation problems evaluation are realized based on this model. After R&D problems distinguished by collaborative innovation matrix, TRIZ provide strong support to get innovative problem solutions.

Suggested Citation

  • Ting Chen & Yunfei Shao & Yujun Han, 2015. "Collaborative Innovation Model Research Based on Knowledge-Supernetwork and TRIZ," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 1169-1174, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_169
    DOI: 10.1007/978-3-662-43871-8_169
    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:978-3-662-43871-8_169. 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.