Investigating the Determinants effects of Intention on the Use of UAE Government Mobile Apps (GMA) Users : A Quantitative Approach to Examine the Extended Technology Acceptance Model (TAM)

Authors

  • Saeed Mohammed Khatir Alhammadi Department of Management, College of Business Administration, University of Sharjah, UAE.
  • Muhammad Turki Alshurideh Department of Marketing, School of Business, The University of Jordan, Amman, Jordan.

DOI:

https://doi.org/10.64251/ijmmi.76

Keywords:

Mobile application, Trustworthiness , Perceived security, Perceived quality, Perceived skills readiness, Perceived usefulness, Perceived ease-of-use, Perceived effort expectancy, Intention

Abstract

The primary objective of this paper is to examine how intention to use may influence the use of mobile applications in the context of the UAE government service sector. The paper used an extension of the Technology Acceptance Model (TAM) to investigate the effect of different variables on intentions towards the utilization of government mobile applications (GMAs). While citizen and residents  have widely adopted mobile applications,  little has been done to establish the general factors affecting the happiness with government mobile apps in the UAE. By using a quantitative approach, this paper obtained statistical data on the subject topic from a sample of about 477 participants, which include UAE citizens and residents using one of GMAs provided by the Ministry of Interior (MOI). Specifically, the paper is focused on seven variables that predict degree of users’ intention, including perceived trustworthiness, perceived effort expectancy, perceived app quality, perceived ease of use, perceived skills readiness, perceived security, and perceived usefulness. The findings highlight that higher perceptions towards mobile apps are significant predictors of user intent and usage patterns. Clear evidences were found that policy makers may enrich the understanding of how governments can improve the adoption of modern technologies such as mobile apps and drive their implications among apps users.

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Published

2025-06-30

How to Cite

Alhammadi, S. M. K., & Alshurideh, M. T. (2025). Investigating the Determinants effects of Intention on the Use of UAE Government Mobile Apps (GMA) Users : A Quantitative Approach to Examine the Extended Technology Acceptance Model (TAM). International Journal of Management and Marketing Intelligence, 2(2), 14–35. https://doi.org/10.64251/ijmmi.76

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