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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Factors Influencing Users’ Intentions to Use Mobile Government Applications in Saudi Arabia: TAM Applicability

Author 1: Raed Alotaibi
Author 2: Luke Houghton
Author 3: Kuldeep Sandhu

Full Text

Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.080727

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 7, 2017.

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Abstract: M-government applications in Saudi Arabia are still at an early stage. In this study, a modified technology acceptance model (TAM) was used to identify and measure the factors that influence users’ intentions to use m-government applications in Saudi Arabia. This study focuses on the relationships between behavioural intention to use (BIU) and six independent factors: three TAM constructs (perceived usefulness [PU], attitude towards use [ATU], and perceived ease of use [PEU]) and three external factors: perceived trustworthiness [TRU], perceived security [SEC], and awareness [AWAR]). Only PU, ATU and TRU had a significant positive influence on BIU for m-government applications. The results also showed that most participants had a positive attitude towards using m-government applications. Overall, the results demonstrate that the model is suitable in the Saudi m-government context.

Keywords: TAM; Saudi Arabia; e-government; m-government applications

Raed Alotaibi, Luke Houghton and Kuldeep Sandhu, “Factors Influencing Users’ Intentions to Use Mobile Government Applications in Saudi Arabia: TAM Applicability” International Journal of Advanced Computer Science and Applications(IJACSA), 8(7), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080727

@article{Alotaibi2017,
title = {Factors Influencing Users’ Intentions to Use Mobile Government Applications in Saudi Arabia: TAM Applicability},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2017.080727},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080727},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {7},
author = {Raed Alotaibi and Luke Houghton and Kuldeep Sandhu},
}


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