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. © 2009, IGI Global.
| Original language | English |
|---|---|
| Title of host publication | Social and Political Implications of Data Mining: Knowledge Management in E-Government|Social and Polit. Implications of Data Mining: Knowledge Mgmt. in E-Government |
| Publisher | IGI Press |
| Pages | 200-220 |
| Number of pages | 20 |
| DOIs | |
| Publication status | Published - 2009 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 16 Peace, Justice and Strong Institutions
Fingerprint
Dive into the research topics of 'Applying dynamic causal mining in E-government modeling'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver