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

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, eGovernment 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 eGovernment needs a profound knowledge base. eGovernment policy has focused several years on bringing online public services and on benchmarking their availability and sophistication. Simultaneously, eGovernment measurement and monitoring activities are often based on the so-called supply-side benchmarking. Although this is important knowledge, it is under criticism because it lacks a user-centric viewpoint of eGovernment development. This article presents and discusses a bottom-up and data-driven approach about how research can help to manage (user-centric) eGovernment 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 eGovernment monitoring and it explains how this can support and enrich the management and evaluation of eGovernment policy

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