IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/5863533.html
   My bibliography  Save this article

The Behaviour and Influence Mechanism of the Subject of IUR Collaborative Innovation: A Simulation Study Based on NetLogo

Author

Listed:
  • Yanrong Wang
  • Xiaochao Yao
  • Lei Song
  • Shujing Zhang
  • Rodica Luca

Abstract

This paper simulates the behavior mechanism of each subject in the equipment manufacturing industry-university-research (IUR) collaborative innovation system based on NetLogo, and constructs the input-output model of each subject. Secondly, the reasonable value of each parameter is determined through expert consultation, and finally 6 scenarios are selected to simulate the evolution of the IUR collaborative innovation system. The results show that different decision-making behaviors of each subject will lead to different operating states of the innovation collaborative system. When the conditions of each subject are exactly the same, the innovation system can achieve stable and continuous operation. However, if the initial conditions are different, the IUR collaborative innovation system needs an authoritative intermediary to coordinate the behavioral strategies of each subject, strengthen the willingness to cooperate, and ensure its stable operation. Reasonable reward and punishment measures are also an effective and important measure, which can mobilize the enthusiasm of all subjects for collaborative innovation. This paper is of great significance for the IUR collaborative innovation in equipment manufacturing industry.

Suggested Citation

  • Yanrong Wang & Xiaochao Yao & Lei Song & Shujing Zhang & Rodica Luca, 2022. "The Behaviour and Influence Mechanism of the Subject of IUR Collaborative Innovation: A Simulation Study Based on NetLogo," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-16, April.
    • Handle: RePEc:hin:jnddns:5863533
    DOI: 10.1155/2022/5863533
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2022/5863533.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/ddns/2022/5863533.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/5863533?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:hin:jnddns:5863533. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.