• DocumentCode
    2764242
  • Title

    Analyzing the Pathway of Organizational Change Based on the Environmental Complexity

  • Author

    Peng, Ying ; Liu, Hong ; Tao, Houyong

  • Author_Institution
    Sch. of Bus., NJU, Nanjing, China
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    463
  • Lastpage
    466
  • Abstract
    In traditional organizations, the procedures of change in pattern of "ordering" and "the plan road map" are more common. However, along with the economic globalization in the 21st century, the development of the new technology and the innovation of the management pattern have brought unprecedented impact to the organization. Unlike the past, the variation of the present environment is complex, uncertain, unable to give a long-term forecast and control. Facing the complexity both inside and outside, the organization must change to adapt the environment whose change is bigger and quicker than their own. In this paper we introduce the motives and goals of organizational change; analyze the perplexity under the complex environment; and then discuss the type and the pattern of organizational change. According to the theories of complex science, we also specifically discuss the evolution of complex adaptive organization and the pathway decision on organizational change under the complex environment, which is overall, regular and continuous.
  • Keywords
    innovation management; management of change; organisational aspects; complex adaptive organization; economic globalization; environmental complexity; management pattern innovation; new technology development; organizational change pathway; organizational change pattern; pathway decision; Business; Economic forecasting; Electronic commerce; Environmental economics; Globalization; Innovation management; Pattern analysis; Roads; Technological innovation; Technology management; complex adaptive organization; environment complexity; organizational change; organizational evolution; pathway decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3661-3
  • Type

    conf

  • DOI
    10.1109/ECBI.2009.87
  • Filename
    5190499