Abstract-M-government applications in

<p>In Saudi Arabia, Mobile government (m-government) is in its infancy. This study aims to explore potential factors influencing adoption of m-government services in Saudi Arabia to improve future implementation. The review of the relevant literature revealed a lack of research regarding the factors that may potentially influence the adoption m-government services in Saudi Arabia by using TAM model based on the perspective of experts in Yesser. To examine relationships between external factors and behavioural intention to use (BIU) in the TAM model, a qualitative study was conducted using semi-structured interviews with five experts from Yesser. Analysis demonstrated that the factors of trustworthiness, usage experience, awareness and security might influence the adoption of m-government services in Saudi Arabia. The results of the qualitative study also demonstrated that enjoyment does not influence the adoption of m-government services in Saudi Arabia. These findings may help decision makers in Saudi government to improve future implementation of m-government services.</p>

Due to the COVID-19 pandemic, all Saudi universities have adopted e-learning systems to ensure that educational activities continue. Shaqra University adopted a platform called the Shaqra University e-learning platform. This study aimed to identify the factors contributing to the success of that platform in Shaqra University, based on students’ responses. This research has proposed an extension of well-known DeLone and McLean’s Information Systems Success (D&M ISS) model to check and validate the success factors of the Shaqra University platform. The questionnaire was adopted in this study to collect data from students currently enrolled at Shaqra University. One thousand online links to the questionnaire were randomly distributed among current students enrolled in Shaqra University. The results revealed that the instrument adopted in this study was valid and reliable. Also, the results showed that the model was a good fit for the Saudi context. The proposed factors of instructor’s quality, learner quality, and perceived usefulness positively impacted the e-learning platform. On the other hand, the factors information quality, system quality and service quality had no positive impact on the use of the e-learning platform.

PurposeCurrent evidence of whether napping promotes or declines cognitive functions among older adults is contradictory. The aim of this study was to determine the association between nap duration and cognitive functions among Saudi older adults.MethodsOld adults (&gt; 60 years) were identified from the Covid-19 vaccine center at Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia between May and August 2021. Face-to-face interviews were conducted by a geriatrician or family physicians. Data collected for each participant included sociodemographic, sleep patterns, health status and cognitive functions. St. Louis University mental status (SLUMS) was used to assess the cognitive functions. A multi-Linear regression model was used to determine the association between cognitive functions and nap duration.ResultsTwo-hundred participants (58 females) aged 66 ± 5 years were recruited. Participants were categorized according to their nap duration into non-nappers (0 min), short nappers (&gt; 0- ≤ 30 min), moderate nappers (&gt; 30–≤ 90 min), and extended nappers (&gt; 90 min). The mean duration of the nap was 49.1 ± 58.4 min. The mean SLUMS score was 24.1 ± 4.7 units. Using the multi-linear regression model, the mean total SLUMS score for extended nappers was, on average, significantly lower than non-nappers [−2.16 units; 95% CI (−3.66, −0.66), p = &lt; 0.01] after controlling for the covariates (age, sex, education level, sleep hours, diabetes mellitus, hypertension, pain).ConclusionsExtended napping was associated with deterioration in cognitive function among Saudi older adults.

A significant technological revolution is currently occurring, with intense competition between companies to deliver their services via emerging technologies. In Saudi Arabia, mobile payment applications have become more important due to the increasing number of users. By filling in the gaps in the Saudi m-payment setting, this work contributes to the theory. It contributes to practice by giving service providers a clear image of the effects Perceived Security and Perceived Trust have on m-payment apps, which is necessary for them to execute their services successfully and effectively. Therefore, this study aims to measure the impact of Perceived Security and Perceived Trust on the use of mobile payment applications. The SEM technique was used to analyze the data. The results revealed that the proposed model is an excellent fit and that the instrument is reliable in the Saudi m-payment context. The SEM results indicated a significant path between (Technical Protection, Transactional Procedures, and Security Statements in m-payment) and (the perceived trust in and perceived security of m-payment applications). It also revealed no significant path between Perceived Security and Trust in m-payment applications. Further, it showed a significant path between (Perceived Security and Perceived Trust) and (the use of the m-payment application). Trust (PT) in m-payment applications will increase the early adoption of these applications. Therefore, the service providers must create and develop secure and trustworthy m-payment applications; otherwise, people will not use them.