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Micro-level Assessment of Health of e-Governance Projects Using Kite Model

  • Ajay Adala
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 947)

Abstract

The success/failure of e-governance projects is normally assessed by their outcome and impact on efficiency of government working. The e-governance project which is successful is known to have a significant impact in government working, transformation of its processes and improving its reliability, accountability and transparency. Several models exist today for assessing e-governance projects. The methodologies adopted in these models vary depending on the objective of assessment and likely availability of quantitative and qualitative data. It has been observed that the general objective of e-governance assessment studies is to assess the impact of the project and realization of project objectives viz., cost-saving, process cycle time etc. While the existing models of assessment provide insights on project outcome, it may be necessary to adopt models which can assess the inherent strength of the entire eco-system of e-governance project. The Kite Model is one such model which considers various intrinsic and extrinsic factors for diagnosing the health of e-governance projects. The assessment of various components assigned to each factor provides a basis for a macro-level analysis. In order to carry out micro-level assessment of e-governance projects, an attempt has been made to derive various sub-components within each component and evaluate them based on assessment points applicable for each component. This paper provides insights on micro-level assessment of each component and proactively identify areas which can be prioritized for ensuring the health of e-governance projects.

Keywords

Kite Model Micro-analysis Assessment 

References

  1. 1.
    Adala, A.: Formulation of empirical factor relations influencing e-government preparedness. In: International Conference on e-Government, ICEG 2008, 23–24 October 2008, Melbourne, Australia, pp. 17–26 (2008)Google Scholar
  2. 2.
    Adala, A.: Assessing the health of e-governance projects - a Kite model. In: e-CASE & e-Tech 2018, 1–3 April, Osaka, Japan, vol. 12, no. 1, pp. 109–128 (2008)Google Scholar
  3. 3.
    Basu, S.: E-government and developing countries: an overview. Int. Rev. Law Comput. Technol. 18(1), 109–132 (2004)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Bhatnagar, S.C., Singh, N.: Assessing the impact of e-government: a study of projects in India. Inf. Technol. Int. Dev. 6(2), 109–127 (2010)Google Scholar
  5. 5.
    Delone, W., McLean, E.: The DeLone and McLean model of information systems success. J. Manag. Inf. Syst. 19, 9–30 (2003)CrossRefGoogle Scholar
  6. 6.
    Fitsilis, P, Anthopoulos, L, Gerogiannis, V.C.: Assessment frameworks of e-government projects: a comparison. In: PCI 2009 Conference Proceedings (2009)Google Scholar
  7. 7.
    Information for Development Program: e-Government Handbook for Developing Countries. A project of InfoDev and the Centre for Democracy and Technology, November 2002Google Scholar
  8. 8.
    Ravindran, D.S.: Unified End-to-End e-Procurement Project: Presentation to World Bank, Centre for e-Governance, Government of Karnataka (2012). https://eproc.karnataka.gov.in/documents/world_bank_ppt
  9. 9.
    United Nations Department of Economic and Social Affairs: United Nations E-Government Survey (2016). https://publicadministration.un.org

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ajay Adala
    • 1
  1. 1.BengaluruIndia

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