Open Access

ARTICLE

An Acceptance Model of Using Mobile-Government Services (AMGS)

Ahmad Althunibat^1,*, Mohammad Abdallah¹, Mohammed Amin Almaiah², Nour Alabwaini¹, Thamer Ahmad Alrawashdeh¹

1 Department of Software Engineering, Faculty of Science and Information Technology, Al-Zaytoonah University of Jordan, Amman, Jordan
2 Faculty of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa, Saudi Arabia

* Corresponding Author: Ahmad Althunibat. Email:

(This article belongs to the Special Issue: Computer Modeling for Smart Cities Applications)

Computer Modeling in Engineering & Sciences 2022, 131(2), 865-880. https://doi.org/10.32604/cmes.2022.019075

Received 05 September 2021; Accepted 05 November 2021; Issue published 14 March 2022

Abstract

In recent years, the telecommunications sector is no longer limited to traditional communications, but has become the backbone for the use of data, content and digital applications by individuals, governments and companies to ensure the continuation of economic and social activity in light of social distancing and total closure in most countries in the world. Therefore, electronic government (e-Government) and mobile government (m-Government) are the results of technological evolution and innovation. Hence, it is important to investigate the factors that influence the intention to use m-Government services among Jordan’s society. This paper proposed a new m-Government acceptance model in Jordan (AMGS); this model combines the Information System (IS) Success Factor Model and Hofstede Cultural Dimensions Theory. The study was conducted by surveying different groups of the Jordanian community. A structured questionnaire was used to collect data from 203 respondents. Multiple regression analysis has been conducted to analyze the data. The results indicate that the significant predictors of citizen intention to use m-Government services in Jordan are Information Quality, Service Quality, Uncertainty Avoidance, and Indulgence vs. restraint. While, the results also suggest that Power Distance is not a significant predictor of citizen intention to use m-Government services.

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Citations