Factors Influencing Mobile Government Adoption in Qatar: An Integrated Model

Abstract

This study explores the factors influencing the adoption of mobile government applications (MGAs) among Qatari citizens, positioning MGAs as a critical component of mobile learning and mobile interaction technologies within the context of digital governance. Drawing on established technology adoption theories such as the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT), the research aims to develop an integrated model that examines mobile user adoption behavior. A quantitative methodology was employed, incorporating constructs from these frameworks into a structured questionnaire. Data were analyzed using factor analysis and recursive path modeling to identify and test the relationships among key influencing factors. The findings reveal that variables such as age, mobile proficiency and usage frequency, perceived ease of use and usefulness, trust, overall user experience and satisfaction, government communication channels, and personal preferences or hesitations significantly affect the intention to adopt MGAs. These results offer actionable insights for policymakers seeking to increase mobile government service uptake by tailoring strategies to mobile user needs and concerns.