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Ex-ante evaluation: Towards an assessment model of its impact on the success of e-government projects

Ex-ante evaluation: Towards an assessment model of its impact on the success of e-government... The paper addresses the issue of ex-ante evaluation of e-government projects. Many methodologies have been developed in the last 15 years in order to support such evaluations, but we still know very little about the impact of these evaluations on the success rate of e-government projects. The research conducted on the Slovenian public administration and presented in this paper fills in the gap between theoretical and empirical research in this area. Using the methodology of partial least squares, a model of indicators was developed and tested in the Slovenian e-government environment. It was proven that ex-ante evaluation of e-government projects has an impact on the success of these projects – 28% of the variance in success can be explained by ex-ante evaluation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Information Polity IOS Press

Ex-ante evaluation: Towards an assessment model of its impact on the success of e-government projects

Information Polity , Volume 18 (4) – Jan 1, 2013

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Publisher
IOS Press
Copyright
Copyright © 2013 by IOS Press, Inc
ISSN
1570-1255
eISSN
1875-8754
DOI
10.3233/IP-130320
Publisher site
See Article on Publisher Site

Abstract

The paper addresses the issue of ex-ante evaluation of e-government projects. Many methodologies have been developed in the last 15 years in order to support such evaluations, but we still know very little about the impact of these evaluations on the success rate of e-government projects. The research conducted on the Slovenian public administration and presented in this paper fills in the gap between theoretical and empirical research in this area. Using the methodology of partial least squares, a model of indicators was developed and tested in the Slovenian e-government environment. It was proven that ex-ante evaluation of e-government projects has an impact on the success of these projects – 28% of the variance in success can be explained by ex-ante evaluation.

Journal

Information PolityIOS Press

Published: Jan 1, 2013

There are no references for this article.