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Introduction: Determining students' readiness for e-learning is critical to implementing more effective education and performance. Nursing education in Saudi Arabia continues to struggle with a shortage of technical tools to enable teaching and acquiring critical nursing skills. Aim: To assess the level of e-learning readiness and academic performance and their association in nursing students and to determine the factors associated with e-learning readiness and academic performance. Materials and Methods: A cross-sectional, multisite study was conducted on a convenience sample of nursing students (N = 139) attending nursing programs from multiple public and private universities in Saudi Arabia. A structured questionnaire was used for data collection from May 2020 to August 2020. Multivariate analyses were run using Statistical Package for Social Sciences (SPSS). Results: The mean age of the study participants was 27.3±6.34 years. The total average of e-learning readiness was 4.16 (SD=0.54). Bivariate analyses showed that age was associated with both e-learning readiness (r=0.175, p=0.03) and academic performance (r=0.341, p<0.001). Employment status, level of education, and previous experience with e-learning displayed significant association with e-learning readiness (p<0.05). In multivariate analyses, only previous experience with e-learning had positively influence on students e-learning readiness (b=0.188, p<0.05). Technology access subscale (b=0.206, p<0.05) and level of education (b=0.323, p<0.05) had both positive impacts on students' academic performance. Conclusion: The e-learning readiness score was high among the nursing students, especially if they were employed or had previous experience with it. Access to technology improved students' academic performance. The current e-learning mechanism may need some developments in order to meet students' different needs. [ABSTRACT FROM AUTHOR]

Introduction: Decision-making and job security have been linked to increased motivation and productivity in nursing. However, research on these variables in the Saudi context is limited. Aim: To examine the association between decision-making styles and job security among nurses working at public hospitals in Saudi Arabia. Materials and Methods: A cross-sectional, multicentre study was conducted on a convenience sample of 295 nurses working at four public hospitals in Saudi Arabia from March to June of 2021. Data were collected through an online self-administered survey. The Nurse decision-making instrument was used to measure decision-making style. Job security scale was utilised to measure job security among nurses. An independent sample t-test, Pearson's coefficient correlation, one-way Analysis of Variance (ANOVA), and multiple linear regression analyses were conducted using Statistical Package for the Social Sciences (SPSS). results: Nurses reported intuitive decision-making (Mean=87.85, SD=21.08) and a moderate level in job security (Mean=20.93, SD=7.48). A significant difference was found between average income level and job security (p-value<0.05). Decision-making style was also significantly and positively associated with job security (r=0.450, p<0.05). In a multivariate analysis, income level (β=0.182, p<0.05) and decision-making style (β=0.436, p<0.05) were predictors of job security. conclusion: Decision making style was found associated with job security. Improved patient care outcomes require excellent nurse decision-making. [ABSTRACT FROM AUTHOR]