Government Cloud Service Adoption: An Application of the DEMATEL approach

Abstract

The purpose of this study was to find the key factors influencing government cloud service adoption, and explore the causal relationships between the criteria for each factor. As the research design was a multiple-criteria decision-making (MCDM) problem, this study utilized a model which was a hybrid of factor analysis and the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. The DEMATEL method was used to simplify and visualize the interrelationships between the criteria that were used in making a decision. This study found six core factors that influenced the government cloud service adoption: reliability and responsiveness, assurance, security and perceived usefulness, flexibility, feature, and empathy. In addition, the key criteria for each factor were identified and the impact-relation maps were obtained. The results of this study provided useful guidance to government cloud service providers for developing better government cloud service platforms.