Monitoring e-government development: Lessons learned from a statistical modeling approach

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 it needs a profound knowledge base. E-government policy has traditionally focused on bringing online public services and on benchmarking their availability and sophistication. In addition, measurement activities are often based on the so-called supply-side benchmarking. This is important knowledge, however, it is currently under criticism. In this paper a data-driven approach is presented how research could help to manage (user-centric) e-government strategies. This paper presents an illustration of a data-driven approach (SEM) and explains how this can support and enrich the management and evaluation of e-government policy.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 it needs a profound knowledge base. E-government policy has traditionally focused on bringing online public services and on benchmarking their availability and sophistication. In addition, measurement activities are often based on the so-called supply-side benchmarking. This is important knowledge, however, it is currently under criticism. In this paper a data-driven approach is presented how research could help to manage (user-centric) e-government strategies. This paper presents an illustration of a data-driven approach (SEM) and explains how this can support and enrich the management and evaluation of e-government policy.C