Integrating perceived system quality with the technology acceptance model to analyze the intention to use mobile government applications in Qatar

Abstract

This study examines the factors influencing end users’ intention to use mobile government applications (MGAs) in Qatar through a regression-based path analytic approach. Drawing on the Technology Acceptance Model (TAM) and incorporating System Quality from the DeLone and McLean IS Success Model, the research investigates key determinants of MGA adoption. Data were collected from a quantitative survey administered to 1,872 participants, including 1,025 Qatari nationals and 847 white-collar expatriates. The questionnaire, developed from a comprehensive literature review, was validated using exploratory factor analysis to confirm construct structure and reliability. Composite scores representing each latent construct were then analyzed using regression-based path analysis to estimate associations among variables. The findings reveal that System Quality, Perceived Ease of Use, and Perceived Usefulness significantly influence the intention to use MGAs, while demographic characteristics also show meaningful associations. These results offer valuable insights for policymakers aiming to enhance MGA adoption by improving system quality and strengthening user perceptions of ease of use and usefulness. By integrating TAM with system quality within a regression-based analytic framework, this study contributes to a more comprehensive understanding of digital government adoption in Qatar and offers a rigorous yet practical model for future research and implementation.