The research seeks to measure users' satisfaction and identify the contributors of satisfaction. We used the end‑user computing satisfaction (EUCS) model as the a priori model to measure internal end‑users' satisfaction with Malaysia's electronic government systems. We gathered data from internal end‑users at the level of officers and directors of Malaysia's electronic government systems. Using the structural equation modeling approach, our results show that all five first‑order factors, content, accuracy, timeliness, format and ease of use, explain the contributors of satisfaction. Further, our studies provide the evidence that in Malaysia's electronic government context, end‑users' satisfaction priorities are timeliness, content and accuracy. This paper makes a significant contribution by applying the Information Systems body of knowledge to measure users' satisfaction with Malaysia's electronic government systems, test and validate the EUCS model in the context of Malaysia's electronic government environment. The paper has enhanced our understanding of users' demands for interactions with business, citizens and other government personnel in the Malaysian electronic government environment.

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.

Our research focuses on the possible determinants of eGovernment (E‑gov) maturity in the Transition Economies of Central and Eastern Europe (TEECE). E‑gov maturity, in this research, refers to the growth levels in a country’s online services and its citizens’ online participation in governance. Our study of the extant literature indicated that few have discussed the determinants of E‑gov maturity in TEECE. Studies from differing parts of the world are needed for theory development. Building on a prior framework, we used the contingency theory and the resource‑based view perspective to guide our discourse. In particular, we examined the relationships between macro‑environmental factors such as national wealth, technological infrastructure, rule of law, and so forth on E‑gov maturity. A 5‑year panel data of 16 TECEE selected from two main groupings was used for analysis in conjunction with structural equation modeling technique; the data consisted of 80 observations or data points. The data analysis underscored the relevance of such factors as technological infrastructure, rule of law, and human capital development as possible determinants of E‑gov maturity in TEECE. National wealth was found to be an enabler in the research conceptualization. The implications of our study’s findings for research and policy making are discussed.