The evolution of mobile-phone technologies such as Smartphones Applications and Services enabled the emergence of digital and smart economies, governments and nations. Many developed and developing countries, like Oman, have considerably invested in the area of Smart Technologies, and initiated countless number of projects such as Smart Governments, also known as Mobile or M-Government, to provide timely, secure, satisfactory and high quality of services for the citizens, businesses and other governmental agencies. Although many scholars have investigated this area of interest with huge amount of efforts, the adoption and actual use of M-Government applications and services, remain problematic and face many challenges. In this area of interest, two major themes of research were reported in the literature: User-centred (i.e., Human-Computer Interaction perspective) and System-centred (i.e., Software Engineering perspective). The first theme remains a hot area of interest mainly due to the importance of the role of end-users in the adoption and success of the new technologies like M-Government. Therefore, this study attempted to develop and empirically validate a novel Mobile Government Adoption Model (titled: MGAM) within the culture of Oman. The MGAM model integrates a well-known theory in this domain, the Technology Acceptance Model (TAM), with other theories including Psychometric Paradigm Theory (PPT), Customer Culture Theory (CCT) and Personality Trait Theory (PTT) to identify key factors related to the end-users or citizens; those included their Perception of Risk, Culture and Personality Trait. The study adopted quantitative research with Survey method as a research strategy for data collection and quantitative methodology for data analysis. A new data collection instrument was developed for the purpose of this study and distributed through online facilities to collect data about the variables of the MGAM Model from Users in Oman using the M-Government applications and services. Around 450 samples (302 males and 148 females) were collected and considered for the purpose of data analysis in this study. Several statistical tools and means have been used to analyse the data and valuate the MGAM model including Descriptive and Inferential Statistic, Structural Equation Modelling (SEM), Comparative Fit Index Analysis, Exploratory Factor Analysis (EFA) with Statistical Software Applications, SPSS and AMOS Applications.

The evolution of mobile-phone technologies such as Smartphones Applications and Services enabled the emergence of digital and smart economies, governments and nations. Many developed and developing countries, like Oman, have considerably invested in the area of Smart Technologies, and initiated coun...