Artificial Neural Network Modeling of Users' Behavioral Intention to Adopt M-Government Services

ABSTRACT

M-government services have gained popularity recently, especially during the Covid-19 pandemic and advancements in mobile technology. However, providing the full range of government services on mobile devices is still in the early stages. Moreover, improving and expanding capacity and providing services requires understanding the factors influencing users' behavioral intentions to adopt this technology. This study investigates factors that directly affect the intention to use mobile government services by employing the technology acceptance model and two external factors, trust and social influence in Bahrain by utilizing artificial neural networks and structural equation modeling. Results indicate that the perceived usefulness and trust factors influence users' behavioral intention to use m-government services, followed by perceived usefulness and social influence. The results of the investigated model provide insights to various stakeholders, including the government and developers, to encompass additional security measures and awareness programs among users to achieve higher levels of mobile services usage. © 2022 IEEE.