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
Link To Document :
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