Electronic government system measurement model: a systematic testing of e-government implementation

Abstract

The demands to improve electronic government systems are increasing due to the large gap in the unsuccessful implementation in government. This study aimed to develop a measurement model consisting of policy, governance, and service, resources (usage) variables with their indicators to reduce the gap.
A quantitative method was used with structural equation modelling (SEM) analysis based on partial least square (PLS) variance using SmartPLS version 3.0 software. Data collection for this study involved the direct distribution of questionnaires to 320 respondents, resulting in a successful collection rate of 95.3%. Subsequently, the collected data underwent analysis using the stages of SEM techniques. The results of the study show that the developed measurement models and indicators can be used as measuring tools for the execution of e-government. The developed model exhibits a satisfactory level of predictive relevance concerning the relationships among the variables, namely policy, governance, service, and usage. Furthermore, hypothesis testing was conducted to assess the validity of the proposed hypotheses within the model.