Alajmi Mohammed, Mohammadian Masoud, Talukder Majharul
Faculty of Science and Technology, University of Canberra, Australia.
Faculty of Business, Government & Law, University of Canberra, Australia.
Heliyon. 2023 Sep 22;9(10):e20394. doi: 10.1016/j.heliyon.2023.e20394. eCollection 2023 Oct.
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 = 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.
本研究调查了沙特阿拉伯公共服务组织中使用的智能政府系统的决定因素。世界上的发达国家已经对智能政府系统进行了研究,但在中东地区,特别是沙特阿拉伯,相关研究却很少。本研究填补了文献中的这一空白。基于包括技术、组织和环境框架(TOE)、技术接受与使用统一理论(UTAUT)以及技术接受模型(TAM)在内的一系列理论,该研究建立了一个综合概念研究模型。在线调查问卷被发送给四个部委的2060名员工,在第二次提醒后,共收到427份完整回复,其中419份(回复率为22%)被认为可用于分析。采用多元统计分析对数据进行分析,结果表明,员工对智能政府系统认知的51%的方差(R = 0.51)可由独立决定因素解释。研究结果表明,安全担忧(t(419)= 2.051,p < 0.041)、信息通信技术战略(t(419)= 4.215,p < 0.000)、管理支持(t(419)= 5.027,p < 0.000)、激励措施(t(419)= 5.263,p < 0.000)和信任(t(419)= -1.957,p < 0.050)是智能政府系统接受度的重要预测因素。同时,文化价值观(t(419)= 0.669,p < 0.504)和宗教价值观(t(419)= 1.082,p < 0.280)对智能系统采用态度没有显著影响。研究发现,认知对智能政府系统的采用有强烈的显著影响(t(419)= 8.411,p < 0.000)。这些结果对沙特政府在其所有机构实施智能政府系统的举措具有重要意义。