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The determinants of smart government systems adoption by public sector organizations in Saudi Arabia
This study investigates the determinants of smart government systems that are used in public service organizations in Saudi Arabia. The world's developed nations have conducted studies on smart government systems, but little research has been done on the Middle East, particularly in Saudi Arabi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543448/ https://www.ncbi.nlm.nih.gov/pubmed/37790960 http://dx.doi.org/10.1016/j.heliyon.2023.e20394 |
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author | Alajmi, Mohammed Mohammadian, Masoud Talukder, Majharul |
author_facet | Alajmi, Mohammed Mohammadian, Masoud Talukder, Majharul |
author_sort | Alajmi, Mohammed |
collection | PubMed |
description | This study investigates the determinants of smart government systems that are used in public service organizations in Saudi Arabia. The world's developed nations have conducted studies on smart government systems, but little research has been done on the Middle East, particularly in Saudi Arabia. This study fills the lacuna in the literature. Based on a number of theories including the Technology, Organization, and Environment framework (TOE), Unified Theory of Acceptance and Use of Technology (UTAUT), and Technology Acceptance Models (TAM), the study established an integrated conceptual research model. Online survey questionnaires were sent to 2060 employees in four ministries and after the second reminder a total of 427 completed answers were received, of which 419 (22% response rate) were deemed useable for the analysis. Multivariate statistical analysis was used to analyze the data and results indicated that 51% of the variance (R(2) = 0.51) of employees' perceptions of smart government systems is explained by independent determinants. Findings show that security concerns (t (419) = 2.051, p < 0.041), ICT strategy (t (419) = 4.215, p < 0.000), managerial support (t (419) = 5.027, p < 0.000), incentives (t (419) = 5.263, p < 0.000), and trust (t (419) = -1.957, p < 0.050) are significant predictors of smart government systems acceptance. Meanwhile cultural values (t (419) = 0.669, p < 0.504) and religious values (t (419) = 1.082, p < 0.280) have no significant effect on the attitude to smart system adoption. Perception was found to have a strong significant effect on adoption of smart government systems (t (419) = 8.411, p < 0.000). These results have significant implications for the Saudi government's drive to implement smart government systems in all its agencies. |
format | Online Article Text |
id | pubmed-10543448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105434482023-10-03 The determinants of smart government systems adoption by public sector organizations in Saudi Arabia Alajmi, Mohammed Mohammadian, Masoud Talukder, Majharul Heliyon Research Article This study investigates the determinants of smart government systems that are used in public service organizations in Saudi Arabia. The world's developed nations have conducted studies on smart government systems, but little research has been done on the Middle East, particularly in Saudi Arabia. This study fills the lacuna in the literature. Based on a number of theories including the Technology, Organization, and Environment framework (TOE), Unified Theory of Acceptance and Use of Technology (UTAUT), and Technology Acceptance Models (TAM), the study established an integrated conceptual research model. Online survey questionnaires were sent to 2060 employees in four ministries and after the second reminder a total of 427 completed answers were received, of which 419 (22% response rate) were deemed useable for the analysis. Multivariate statistical analysis was used to analyze the data and results indicated that 51% of the variance (R(2) = 0.51) of employees' perceptions of smart government systems is explained by independent determinants. Findings show that security concerns (t (419) = 2.051, p < 0.041), ICT strategy (t (419) = 4.215, p < 0.000), managerial support (t (419) = 5.027, p < 0.000), incentives (t (419) = 5.263, p < 0.000), and trust (t (419) = -1.957, p < 0.050) are significant predictors of smart government systems acceptance. Meanwhile cultural values (t (419) = 0.669, p < 0.504) and religious values (t (419) = 1.082, p < 0.280) have no significant effect on the attitude to smart system adoption. Perception was found to have a strong significant effect on adoption of smart government systems (t (419) = 8.411, p < 0.000). These results have significant implications for the Saudi government's drive to implement smart government systems in all its agencies. Elsevier 2023-09-22 /pmc/articles/PMC10543448/ /pubmed/37790960 http://dx.doi.org/10.1016/j.heliyon.2023.e20394 Text en © 2023 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Alajmi, Mohammed Mohammadian, Masoud Talukder, Majharul The determinants of smart government systems adoption by public sector organizations in Saudi Arabia |
title | The determinants of smart government systems adoption by public sector organizations in Saudi Arabia |
title_full | The determinants of smart government systems adoption by public sector organizations in Saudi Arabia |
title_fullStr | The determinants of smart government systems adoption by public sector organizations in Saudi Arabia |
title_full_unstemmed | The determinants of smart government systems adoption by public sector organizations in Saudi Arabia |
title_short | The determinants of smart government systems adoption by public sector organizations in Saudi Arabia |
title_sort | determinants of smart government systems adoption by public sector organizations in saudi arabia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543448/ https://www.ncbi.nlm.nih.gov/pubmed/37790960 http://dx.doi.org/10.1016/j.heliyon.2023.e20394 |
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