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Research Article | Open Access |

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
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 8, No. 7 · Published 2017 · Cited by 32

DOI: https://doi.org/10.14569/IJACSA.2017.080727

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

How to Cite this Article

Alotaibi, R., Houghton, L., & Sandhu, K. (2017). Factors Influencing Users’ Intentions to Use Mobile Government Applications in Saudi Arabia: TAM Applicability. International Journal of Advanced Computer Science and Applications, 8(7). https://doi.org/10.14569/IJACSA.2017.080727

Alotaibi, Raed, et al.. "Factors Influencing Users’ Intentions to Use Mobile Government Applications in Saudi Arabia: TAM Applicability." International Journal of Advanced Computer Science and Applications, vol. 8, no. 7, 2017, https://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},
  volume    = {8},
  number    = {7},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Raed Alotaibi and Luke Houghton and Kuldeep Sandhu},
  doi       = {10.14569/IJACSA.2017.080727},
  url       = {https://doi.org/10.14569/IJACSA.2017.080727}
}

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