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Measuring for knowledge: a data-driven research approach for e-government

Pieter Verdegem (UGent) , Jeroen Stragier (UGent) and Gino Verleye (UGent)
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Abstract
As ICT provide a lot of possibilities, high expectancies exist towards the electronic public service provision. All governments are increasingly establishing their e-strategies. However, e-Government still faces many challenges as it continues to develop. The current status of electronic services delivery opens up a lot of questions, both for practitioners and researchers. Therefore, further progress of e-Government needs a profound knowledge base. E-Government policy has focused several years on bringing online public services and on benchmarking their availability and sophistication. Simultaneously, e-Government measurement and monitoring activities are often based on the so-called supply-side benchmarking. This is important knowledge, however, it is under criticism because it lacks a user-centric viewpoint of e-Government development. This article presents and discusses a bottom-up and data-driven approach about how research can help to manage (user-centric) e-Government strategies. Based on statistical testing (techniques of structural equation modeling, SEM) of large-scale sample data from the Belgian government, the authors have investigated which relations do exist between contextual variables and the availability and/or satisfaction of electronic public services. By doing this, this manuscript presents an illustration of a data-driven approach in e-Government monitoring and it explains how this can support and enrich the management and evaluation of e-Government policy.
Keywords
benchmarking, management, satisfaction, evaluation, structural equation modeling (SEM), e-Government, methodology

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Citation

Please use this url to cite or link to this publication:

Chicago
Verdegem, Pieter, Jeroen Stragier, and Gino Verleye. 2011. “Measuring for Knowledge: a Data-driven Research Approach for E-government.” In Leading Issues in e-Government Research, ed. Les Worrall, 83–100. UK: Academic Publishing International Ltd.
APA
Verdegem, P., Stragier, J., & Verleye, G. (2011). Measuring for knowledge: a data-driven research approach for e-government. In L. Worrall (Ed.), Leading issues in e-Government research (pp. 83–100). UK: Academic Publishing International Ltd.
Vancouver
1.
Verdegem P, Stragier J, Verleye G. Measuring for knowledge: a data-driven research approach for e-government. In: Worrall L, editor. Leading issues in e-Government research. UK: Academic Publishing International Ltd; 2011. p. 83–100.
MLA
Verdegem, Pieter, Jeroen Stragier, and Gino Verleye. “Measuring for Knowledge: a Data-driven Research Approach for E-government.” Leading Issues in e-Government Research. Ed. Les Worrall. UK: Academic Publishing International Ltd, 2011. 83–100. Print.
@incollection{1216112,
  abstract     = {As ICT provide a lot of possibilities, high expectancies exist towards the electronic public service provision. All governments are increasingly establishing their e-strategies. However, e-Government still faces many challenges as it continues to develop. The current status of electronic services delivery opens up a lot of questions, both for practitioners and researchers. Therefore, further progress of e-Government needs a profound knowledge base. E-Government policy has focused several years on bringing online public services and on benchmarking their availability and sophistication. Simultaneously, e-Government measurement and monitoring activities are often based on the so-called supply-side benchmarking. This is important knowledge, however, it is under criticism because it lacks a user-centric viewpoint of e-Government development. This article presents and discusses a bottom-up and data-driven approach about how research can help to manage (user-centric) e-Government strategies. Based on statistical testing (techniques of structural equation modeling, SEM) of large-scale sample data from the Belgian government, the authors have investigated which relations do exist between contextual variables and the availability and/or satisfaction of electronic public services. By doing this, this manuscript presents an illustration of a data-driven approach in e-Government monitoring and it explains how this can support and enrich the management and evaluation of e-Government policy.},
  author       = {Verdegem, Pieter and Stragier, Jeroen and Verleye, Gino},
  booktitle    = {Leading issues in e-Government research},
  editor       = {Worrall, Les },
  isbn         = {9781906638894},
  keyword      = {benchmarking,management,satisfaction,evaluation,structural equation modeling (SEM),e-Government,methodology},
  language     = {eng},
  pages        = {83--100},
  publisher    = {Academic Publishing International Ltd},
  title        = {Measuring for knowledge: a data-driven research approach for e-government},
  year         = {2011},
}