Advanced search
1 file | 435.18 KB

Measuring for Knowledge: A Data-Driven Research Approach for eGovernment

Pieter Verdegem (UGent) , Jeroen Stragier (UGent) and Gino Verleye (UGent)
Author
Organization
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
satisfaction, structural equation modeling (SEM), evaluation, benchmarking, management, eGovernment, methodology

Downloads

  • ejeg-volume8-issue2-article211.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 435.18 KB

Citation

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

Chicago
Verdegem, Pieter, Jeroen Stragier, and Gino Verleye. 2010. “Measuring for Knowledge: A Data-Driven Research Approach for eGovernment.” Ed. Frank Bannister. Electronic Journal of e-Government 8 (2): 227–236.
APA
Verdegem, P., Stragier, J., & Verleye, G. (2010). Measuring for Knowledge: A Data-Driven Research Approach for eGovernment. (F. Bannister, Ed.)Electronic Journal of e-Government, 8(2), 227–236.
Vancouver
1.
Verdegem P, Stragier J, Verleye G. Measuring for Knowledge: A Data-Driven Research Approach for eGovernment. Bannister F, editor. Electronic Journal of e-Government. 2010;8(2):227–36.
MLA
Verdegem, Pieter, Jeroen Stragier, and Gino Verleye. “Measuring for Knowledge: A Data-Driven Research Approach for eGovernment.” Ed. Frank Bannister. Electronic Journal of e-Government 8.2 (2010): 227–236. Print.
@article{1092957,
  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},
  editor       = {Bannister, Frank},
  issn         = {1479-439X},
  journal      = {Electronic Journal of e-Government},
  keyword      = {satisfaction,structural equation modeling (SEM),evaluation,benchmarking,management,eGovernment,methodology},
  language     = {eng},
  number       = {2},
  pages        = {227--236},
  title        = {Measuring for Knowledge: A Data-Driven Research Approach for eGovernment},
  volume       = {8},
  year         = {2010},
}