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Towards E-participation in the Middle East and Northern Europe

  • Girish J. “Jeff” GulatiEmail author
  • David J. YatesEmail author
  • Anas TawilehEmail author
Chapter
Part of the Integrated Series in Information Systems book series (ISIS, volume 25)

Abstract

E-governance is important for enabling governments to communicate with and serve their citizens. In this chapter, we determine critical success factors for and obstacles to effective e-governance in two very different regions of the world, namely, the Middle East and Northern Europe. Specifically, we explore e-participation in Bahrain, Egypt, Estonia, and Finland. These four countries are interesting cases because they have quite different types of government, yet, according to recent United Nations data, each has succeeded in their development of e-government capabilities. However, the degree to which this development has translated into effective e-participation varies significantly between these countries. We propose a framework for assessing the strategy, policies, and context within which e-governance is being developed and apply this framework to examine e-participation in each country. Using this framework, we show that an administrative culture of high-quality governance is critical to the success of e-participation initiatives. Our research also suggests that factors which promote online citizen participation in the political process include a government commitment to e-government, policies that encourage e-participation, and investment in e-governance and information and communication technology (ICT) development. Sometimes these conditions are satisfied but e-participation falls short of expectations. We present evidence that this short-fall often reflects problems in the offline relationship between governments and their citizens.

Keywords

European Union Government Service World Governance Indicator Citizen Trust Citizen Inclusion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Bentley UniversityWalthamUSA
  2. 2.Cardiff UniversityCardiffUK

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