LAUSR

Purpose The growing popularity of mobile technology has led governments across the world to develop mobile business models and encouraged the transition from the electronic government (e-government) to the mobile government (m-government). However, only a small amount of data is available regarding m-government implementation in developing countries and users’ behavioural intentions (BIs) with respect to the utilization of such services. To address this issue, this study attempts to identify factors that affect m-government acceptance among citizens of the United Arab Emirates (UAE). This study aims to examine the relationships between m-government service characteristics and m-government technology characteristics by analysing their perceived ease-of-use, perceived usefulness, user attitudes towards m-government usage and corresponding BIs with respect to utilization of m-government services. Design/methodology/approach This study is based on a quantitative survey conducted among 326 users of m-government services in the UAE. The responses were tabulated on a five-point Likert scale. Structural equation modelling was used to evaluate the performance of the proposed model and verify the hypothesized relationships between its constructs. Findings Overall, the research findings indicate that: users’ intention to use m-government applications has three determinants – attitude towards m-government use, m-government ease of use and m-government usefulness; m-government usefulness and ease of use have a significant influence on user attitudes towards m-government; and perceived ease of use of the service, currency of the services, the accuracy of the provided information, the security concerns associated with the utilization of the m-government services, trust in the m-government services and the risks perceived in using the m-Government service are antecedents of users’ perceptions of the m-government services. Originality/value This study has improved our understanding of the critical mobile technology factors that are needed to improve user acceptance of m-government services. The study presents important implications for both theory and practice.