• DocumentCode
    2124116
  • Title

    An Adaptive Framework for Managing Knowledge in E-Government

  • Author

    Zhou, Ping

  • Author_Institution
    Sch. of Inf. Technol., JiangXi Univ. of Finance & Econ., Nanchang
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    69
  • Lastpage
    73
  • Abstract
    This article proposes an adaptive framework for managing knowledge in E-government context. Specifically, this article aims to extend understanding in the field of E-government knowledge management by examining how an adaptive framework for managing knowledge can help government become harmonious and build dynamic capabilities. Complexity theory, complex adaptive systems, and knowledge management are used to propose the development of an adaptive framework that will assist government agencies in managing knowledge and becoming collaborative. A link among an adaptive framework for managing knowledge, collaboration and dynamic capability is established. The central proposition of the article is the government agencies that follow adaptive framework for managing knowledge are better able to compete in the globe today.
  • Keywords
    government data processing; groupware; knowledge management; complex adaptive systems; complexity theory; e-government; government agencies; knowledge management; Adaptive systems; Collaboration; Complexity theory; Decision making; Electronic government; Financial management; Information technology; Innovation management; Knowledge management; Technology management; Complex adaptive system; Framework; Knowledge creation; Knowledge management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3488-6
  • Type

    conf

  • DOI
    10.1109/KAM.2008.57
  • Filename
    4732788