IDEAS home Printed from https://ideas.repec.org/a/hin/complx/3714564.html
   My bibliography  Save this article

The Applications and Complexity Analysis Based on Network Embedding Behaviors under Evolutionary Game Framework

Author

Listed:
  • Xin Su
  • Hui Zhang
  • Shubing Guo

Abstract

In this paper, we use the dynamic mechanism of biological evolution to simulate the enterprises’ bounded rational game. We construct game models of network embedding behaviors of horizontal and vertical enterprises in supply chain, explain the repeated games of random pairs of enterprises by replication dynamic differential equations, study the characteristics and evolution trend of this flow, conduct simulation experiments, clarify the evolution direction and law of network embedding strategy selection of supply chain enterprises, and discuss the stable state of evolutionary game and its dynamic convergence process. The results show that the probability of supply chain enterprises choosing a network embedding strategy is related to the enterprises’ special assets investment cost, cooperation cost, network income, and cooperation benefits. Supply chain enterprises should reduce the special assets investment cost and cooperation cost, maximize network income and cooperation income, narrow the gap between the extra-cooperation profit and the current cooperation profit, and restrain them from violating cooperation contracts or taking opportunistic actions.

Suggested Citation

  • Xin Su & Hui Zhang & Shubing Guo, 2020. "The Applications and Complexity Analysis Based on Network Embedding Behaviors under Evolutionary Game Framework," Complexity, Hindawi, vol. 2020, pages 1-23, June.
    • Handle: RePEc:hin:complx:3714564
    DOI: 10.1155/2020/3714564
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2020/3714564.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2020/3714564.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/3714564?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:complx:3714564. 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.