• DocumentCode
    1727146
  • Title

    System analysis of enterprise network based on complex adaptive system theory

  • Author

    Shi Yonggui ; Song Yantao ; Li Haixia ; Yan Jianfen

  • Author_Institution
    Dept. of Econ. & Manage., Shijiazhuang Univ., Shijiazhuang, China
  • fYear
    2011
  • Firstpage
    626
  • Lastpage
    630
  • Abstract
    In the article the complex adaptive features of the enterprise network is discussed, and the behavior model of enterprise network agents is presented. Complex adaptive system (CAS) is a complex dynamic system composed of various independent agents, which are various in the form and ability. With the accumulation of experience, CAS adapts to the environment by changing the rules. The core idea of CAS theory is “adaptive build complexity”. Enterprise network is a network-style organizational formed to meet today´s changing external environment. It refers to the summary of relationships based on common social and cultural background and the basis of mutual trust, connected with information technology, and forged by a group of interconnected enterprise behavior agents and institutions in the process of sharing resources, exchanging resources, and delivering resources in order to respond to market changes quickly. Although the enterprise network has a variety of forms, they all have the basic characteristics of CAS: aggregation, identification, nonlinear, stream, diversity, internal model and building blocks.
  • Keywords
    adaptive systems; organisational aspects; CAS theory; adaptive build complexity; behavior model; complex adaptive system theory; enterprise behavior agent; enterprise network agent; information technology; market change; mutual trust; resource sharing; system analysis; Detectors; CAS theory; behavior model; complex adaptive features; enterprise network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6044085
  • Filename
    6044085