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An Empirical Study of Perception of the End-User on the Acceptance of Smart Government Service in the UAE

Nasser A. Saif Almuraqab, Sajjad M. Jasimuddin, Wathiq Mansoor

Source Title: Journal of Global Information Management (JGIM)29(6)

ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781799872627|DOI: 10.4018/JGIM.20211101.oa11

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MLA

Almuraqab, Nasser A. Saif, et al. "An Empirical Study of Perception of the End-User on the Acceptance of Smart Government Service in the UAE." JGIM vol.29, no.6 2021: pp.1-29. http://doi.org/10.4018/JGIM.20211101.oa11

APA

Almuraqab, N. A., Jasimuddin, S. M., & Mansoor, W. (2021). An Empirical Study of Perception of the End-User on the Acceptance of Smart Government Service in the UAE. Journal of Global Information Management (JGIM), 29(6), 1-29. http://doi.org/10.4018/JGIM.20211101.oa11

Chicago

Almuraqab, Nasser A. Saif, Sajjad M. Jasimuddin, and Wathiq Mansoor. "An Empirical Study of Perception of the End-User on the Acceptance of Smart Government Service in the UAE," Journal of Global Information Management (JGIM) 29, no.6: 1-29. http://doi.org/10.4018/JGIM.20211101.oa11

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Abstract

The end-users’ acceptance of electronic government applications is crucial for the effective delivery of public services. This study intends to investigate the factors that influence the end-users' acceptance of smart-government services.This paper identifies key determinants of the end-users’ acceptance of smart government services in the UAE to develop a theoretical model which is tested empirically, using the partial least squares structural equation modelling. This study examines the relationship among the factors that influence the adoption of smart government applications, along with the moderation effects of gender, age, and experience of the end-users on this linkage. The paper reveals that performance expectancy is the strongest factor influencing adoption of smart government, followed by trust in government, effort expectancy, and social influence. The Multi Group Analysis is used to test the moderation effects of the gender, age, and smart service use experience of the end-users on the relationship between the factors that influence smart-government service adoption.