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Applying Dynamic Causal Mining in E-Government Modeling
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Author(s):
Yi Wang (Nottingham Trent University, UK)
Copyright:
2009
Pages:
21
Source title:
Social and Political Implications of Data Mining: Knowledge Management in E-Government
Source Author(s)/Editor(s):
Hakikur Rahman
(University of Minho, Portugal)
DOI:
10.4018/978-1-60566-230-5.ch012
Keywords:
Data Mining
/
Electronic Government
/
Information Science Reference
/
Library & Information Science
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Applying Dynamic Causal Mining in E-Government Modeling
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Abstract
Electronic government or digital government is not a simple or well-defined theoretical construct. Electronic government is a complex phenomenon which involves technical, organizational, institutional and environmental aspects. Researchers from different disciplines are trying to model the E-government using combinations of methods from different areas which can help to deal with complexity and obtain more comprehensive explanations. This chapter uses Dynamics Causal Mining as the technique for modeling and analyzes E-government. Dynamics Causal Mining is a combination of System Dynamics and Data Mining.
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