Search Results (272)

Employer-funded education and training (EFET) has gained increasing attention as a strategic human resource practice for developing human capital and enhancing organizational performance. However, empirical evidence on its effectiveness remains limited in emerging economies, particularly within the Kingdom of Saudi Arabia (KSA), where workforce localization and human capital development are central to Vision 2030. This study examines the associations between EFET participation and three key employee outcomes: motivation, retention intention, and productivity. Using a quantitative research design, data were collected from 200 employees and managers across multiple sectors in KSA through a structured questionnaire. Structural Equation Modeling (SEM) was employed to test the hypothesized relationships while controlling for gender, age, sector, and years of experience. The results indicate that EFET participation is positively and significantly associated with employee motivation, retention intention, and self-reported productivity, with the strongest association observed for retention intention. Model fit indices demonstrate an excellent overall fit, supporting the proposed model’s robustness. By integrating Human Capital Theory with empirical evidence from the Saudi context, this study contributes to the literature by extending understanding of how employer-funded education functions within a non-Western labor market. The findings offer practical implications for organizations and policymakers seeking to optimize education and training investments in support of sustainable workforce development and Vision 2030 objectives. Full article

This investigation provides a critical analysis of the digital forensics field within the Kingdom of Saudi Arabia (KSA), specifically focusing on its educational systems, and the effectiveness of prosecutorial efforts. Utilizing a mixed-methodology framework and extensive literature reviews, this study reveals pronounced deficiencies in digital forensics against increased cybercrime activities. Furthermore, it highlights a general lack of preparedness among digital forensics professionals in KSA and notes significant variations in forensic applications across different judicial and educational contexts. The research recommends creating a uniform national educational framework for digital forensics, improving professional training programs, and strategically enhancing forensic technologies. Through a thorough analysis of demographic trends, educational programs, and adherence to procedural standards, this study proposes targeted strategies to fortify the digital forensic infrastructure of KSA, aligning with the strategic imperatives of Vision 2030. Full article

Cyberbullying generally reveals two leading players: the attacker side (perpetrator) and the victim side; each side has its distinctive social and psychological dynamics. In most prior empirical studies, the victim side is pivotal, as it bears the direct psychological and emotional consequences of online aggression. Recently, cyberbullying victimisation has been elevated as a main psychological concern among university students. Nevertheless, the moderating role of family support remained untested, particularly in a collectivist cultural context such as the Kingdom of Saudi Arabia (KSA). This study tested the impacts of cyberbullying victimisation on mental health consequences (anxiety, stress, and depression) among KSA university students. The study further tested family support as a moderator in these relationships. Data was collected from 650 students employing a self-structured survey. The data obtained was analyzed using “Partial Least Squares Structural Equation Modelling” (PLS-SEM). The findings revealed that cyberbullying-victimization can significantly raise students’ anxiety, stress, and depressive signs, supporting its place as a critical psychological risk factor. Contrary to the “traditional stress-buffering theory”, family support failed to alleviate the influence of cyberbullying-victimization on anxiety and stress, and unexpectedly, higher levels of family support were related to higher depressive levels, suggesting a reverse-buffering impact. These results highlighted the complicated relationships between family support and emotional outcomes in the context of digital threats. The study stressed the urgent need for culturally delicate mediations, such as training sessions for digital resilience, and colleague-based supportive systems to successfully deal with the mental health consequences of cybervictimization. Full article

Over the last 40 years, the Kingdom of Saudi Arabia (KSA) has experienced economic growth that has driven urbanization and infrastructure improvements. However, this has also led to high resource use and poor planning, exacerbating climate challenges and underscoring the need for international cooperation. Given the substantial energy use associated with buildings, sustainable global building standards have been developed. Saudi Vision 2030 encourages sustainable practices in energy, housing, and water by adopting green building standards to guide environmentally friendly initiatives. This study provides an overview of the current status of green building rating systems in KSA and examines the principal obstacles faced during their implementation. Utilizing importance-performance analysis (IPA), the study identifies and evaluates strategies to advance green building ratings, drawing upon survey data from diverse stakeholders. Major barriers include low awareness across the public and private sectors and technical challenges such as a shortage of qualified professionals, limited information, and unreliable resources. The strategies proposed aim to establish clear standards for sustainable construction and promote targeted awareness campaigns with industry leaders and government, highlighting the long-term environmental and financial advantages of green buildings. Identifying these barriers and evaluating interventions will help to advance green building rating systems and sustainability in KSA and worldwide. Full article

Background: Chronic obstructive pulmonary disease (COPD) is a progressive respiratory condition with significant economic burden, morbidity, and mortality rates worldwide. In the Kingdom of Saudi Arabia (KSA), 4.2% of adults 40 years and older have COPD, with a higher prevalence in men and older populations. Key risk factors include smoking, air pollution, occupational exposures, and genetics. COPD coexists with cardiovascular disease (CVD) often, making diagnosis and management more difficult. This study proposes two referral algorithms to optimize care for COPD patients with coexisting CVD in the KSA. Methods: A nine-member cardiopulmonary task force reviewed pertinent literature, guidelines, and held virtual meetings from April to August 2025. Every algorithmic component was iteratively refined; consensus was reached when at least 80% of participants agreed, and items not reaching this threshold were revised until full agreement was reached. Results: According to the cardiology-to-pulmonology algorithm, patients who have unidentified respiratory symptoms or COPD risk factors undergo spirometry assessment and, if confirmed, are referred to pulmonology for diagnostic confirmation, phenotyping, and treatment, including triple fixed-dose combination therapy (TFDC) when necessary. On the other hand, the pulmonology-to-cardiology algorithm directs the evaluation of CVD risk factors and comorbidities using clinical evaluation, electrocardiogram, echocardiography, and biomarker testing, for cardiology referral. Conclusions: By establishing bidirectional referral pathways, morbidity and healthcare burden can be decreased, early detection can be improved, and multidisciplinary management can be strengthened. Future research should assess the feasibility, cost-effectiveness, and real-world impact within KSA’s healthcare system. Full article

Background: The implementation of shared governance within the nursing practice results in heightened satisfaction among nurses and enhances the quality of care provided. Shared governance fosters collaborative and proactive relationships among nurses and healthcare providers, while also cultivating a sense of confidence among nurses. However, evidence suggests that a lack of awareness, reliance on traditional governance, and inadequate shared governance structures among nurses continue to exist at the unit-based council (UBC) level, including those in the Kingdom of Saudi Arabia (KSA). Purpose: The present study aimed to assess the extent of clinical nurses’ perceptions concerning shared governance at the UBC level, and to examine the variations and relationships in their perceptions based on demographic and work-related characteristics. It further explored the demographic and work-related factors that affect the overall perceptions of shared governance among clinical nurses. Methods: This quantitative study utilized a cross-sectional design and was carried out in three governmental hospitals in the KSA. The sample comprised 669 nurses, who were selected using a convenience sampling method. The Index of Professional Nursing Governance (IPNG) tool was utilized for data collection conducted between February 2025 and April 2025. Descriptive statistics alongside the t-test and analysis of variance (ANOVA), Pearson-r correlation coefficient, and multiple linear regression were utilized for data analysis. Significant findings were drawn when p ≤ 0.05. Results: The average perception of shared governance among clinical nurses at the UBC level was 180.42 out of 430, suggesting that decision-making occurs collaboratively between nurses and management. Significant differences in the average level of clinical nurses’ perceptions of shared governance were noted in relation to their educational qualifications (F = 5.015, p = 0.001) and nursing units (F = 4.157, p = 0.010). The hospital in which clinical nurses were employed (r = 0.098, p = 0.037) and nursing units (r = 0.087, p = 0.020) exhibited significant correlations with their overall shared professional governance. Furthermore, the hospital where clinical nurses were employed (β = 0.406, p = 0.001, 95% confidence interval [CI] = 0.166, 0.646) and nursing units (β = 0.326, p = 0.038, 95% CI = 0.018, 0.314) served as predictors of their overall professional shared governance. Conclusions: Clinical nurses in this study showed an initial or relatively low level of shared governance at the UBC level. The overall finding highlights a critical need for nursing managers and leaders to enhance the level of professional shared governance among clinical nurses, which may result in improved nurse retention and overall quality of nursing care. It is crucial to consider clinical nurses’ educational qualifications and working environment at the UBC level when aiming to enhance their level of professional shared governance. Full article

Fine particulate matter (PM_2.5) poses major public health and environmental threats due to its capacity to enter deep respiratory passages and degrade urban air quality. In the Kingdom of Saudi Arabia (KSA), cities such as Riyadh, Dammam, and Jeddah show an elevated level of PM_2.5 due to rapid urban growth, dense traffic activity, and wide industrial operations. This study proposes a hybrid Variational Mode Decomposition–Bidirectional Gated Recurrent Unit (VMD–BiGRU) framework for multi-horizon PM_2.5 forecasts based on daily data from January 2022 to September 2024. The daily PM_2.5 series was split through VMD into Intrinsic Mode Functions (IMFs) that represent multi-scale temporal patterns. A seven-day ahead forecast was carried out, and model performance was compared with VMD–GRU, VMD–LSTM, and VMD–TCN. For Riyadh, RMSE values for t + 1, t + 2, and t + 3 were 9.25, 12.26, and 16.05 µg/m³, with R² above 0.90 up to the third day. For Dammam, RMSE values for the same horizons were 4.46, 7.24, and 11.34 µg/m³, and R² remained above 0.90 up to the fourth day. For Jeddah, the corresponding values were 3.97, 6.09, and 9.36 µg/m³, and R² remained above 0.90 up to the fourth day. The hybrid VMD–BiGRU model achieved higher accuracy for short horizons (t + 1 to t + 3). The study establishes a basis that aids short-term PM_2.5 prediction and improves air quality assessment across major urban centers in KSA. Full article

Background: Primary healthcare plays a vital role in delivering pediatric services. This study aimed to examine the epidemiology of pediatric visits to a model primary healthcare (PHC) center and identify factors associated with referrals to specialized care. Methods: A retrospective chart review was conducted for all pediatric visits between January and December 2024 at a model PHC center affiliated with an academic medical city in the Kingdom of Saudi Arabia (KSA). Descriptive statistics, chi-squared tests, and multivariable logistic regression were used to assess predictors of referral. Diagnoses were categorized, and clinic types stratified to explore seasonal and diagnostic trends. Ethical approval was obtained prior to data access. Results: A total of 4520 pediatric visits were analyzed. Just over half of the patients were female, and the largest age group was school-aged children (38.1%). Visit frequency peaked in winter and spring. Most visits (78.4%) were first-time consultations, and the majority occurred in general family medicine clinics. Overall, 10.95% of visits resulted in referrals. Referrals were more common during outpatient consultations than urgent care visits and were strongly associated with specific diagnoses, particularly neurological (aOR = 11.73), eye (aOR = 8.77), ENT-related conditions (aOR = 7.73), and genitourinary or pubertal conditions (aOR = 6.60). Demographic variables such as sex and nationality were not significant predictors. Conclusions: The observed referral rate may indicate effective gatekeeping within Saudi primary care, though referral frequency alone cannot determine appropriateness. Enhancing diagnostic support and behavioral health integration could further optimize referral practices and support Vision 2030 goals for strengthened child health services. Full article

Estimated groundwater recharge is considered the essential factor for groundwater management and sustainability, especially in arid lands such as the Kingdom of Saudi Arabia (KSA). Consequently, assessing groundwater recharge is a key process for forecasting groundwater accessibility to sustain safe withdrawal. So, this study focused on environmental isotopes, the chloride mass balance (CMB) method, and a SWAT model by integrating GIS with hydrological and hydrochemical techniques to detect the origin of coastal aquifer groundwater and to compute the recharging rate in the study area. This study is based on the results of chemical analysis of 78 groundwater samples and environmentally stable isotopes, including deuterium (²H) and oxygen-¹⁸O, in 29 representative samples. The results revealed that the origin of groundwater recharge comes through precipitation, where the ranges of δ¹⁸O and δ²H isotopes in the analyzed groundwater were from −1.10‰ to +1.03‰ and from −0.63‰ to 11.63‰, respectively. The CMB finding for estimating the average recharge is 3.57% of rainfall, which agrees with a previous study conducted in the wadi Qanunah basin (north of the study area), where the estimated average value of recharge was 4.25% of rainfall. Meanwhile, the estimated annual recharge using a SWAT model ranged between 1 mm and 16.5 mm/year at an average value of approximately 8.75 mm/year. The results obtained by the two techniques are different due to some reasons such as the presence of additional chloride sources, as well as evaporation. Outputs of this study will be valuable for the local community, officials, and decision-makers who are concerned with groundwater resources. Full article

Background/Objective: Despite the vital role of nurses in health policy development, their involvement and influence in such development remain challenging. The involvement of nurse managers in health policy development in the Kingdom of Saudi Arabia (KSA) is not well examined. This study examined the extent of involvement of nurse managers in health policy development in the KSA and identified related barriers, benefits, confidence, and perceived impacts. Methods: A descriptive correlational cross-sectional design was used to achieve the study aim and objectives. An electronic self-administered questionnaire (Registered Nurses Involvement in Health Policy) was distributed to nurse managers working in the KSA. A total convenience sample of 238 nurse managers willingly and voluntarily agreed to participate. Data were collected from 10 February 2022 to 30 April 2022. Descriptive statistics and the Spearman rho correlation coefficient were used to analyze the data. Results: Among 238 nurse managers surveyed, 58% had received policy-related training, 73% reported high involvement as professionals, and 43% rated their confidence as high. Findings show the high level of involvement in health policy development of the nurse managers and their increased interest in influencing health policies. The policy activity most frequently chosen by the nurse managers is “provided health policy-related information to consumers or other professionals.” Moreover, the participants reported “lack of time, support, and resources” as their most perceived barrier and “improving public health” as their most perceived benefit. The majority of the nurse managers reported receiving information or training on health policies, and more than half of the participants rated their skills as “very good” or “excellent.” Our findings show the participants’ moderate level of confidence in performing health policy activities and moderate level of their perceived impact of their involvement in health policy activities on health outcomes. The results indicate a positive relationship between health outcomes and the ability of the nurse managers to influence health policy activities. Conclusions: The study findings suggest that Saudi nurse managers are increasingly engaged in policy development, but greater institutional support and targeted training are needed to strengthen their policy impact. Full article

Background/Objectives: Motion sickness is a prevalent neuro-vestibular syndrome that affects individuals across various modes of transport and can significantly impact quality of life and travel safety. This study aimed to assess the prevalence, severity, and associated risk factors of severe dizziness related to motion sickness among adult residents in the Kingdom of Saudi Arabia (KSA), with particular focus on socio-demographic and behavioral determinants. Methods: A cross-sectional survey was conducted among 349 participants recruited primarily from the Riyadh region. A structured questionnaire captured demographic variables, personal health history, and experiences of dizziness and related symptoms during air or metro travel. Chi-square tests and multivariable logistic regression were applied to examine associations between dizziness and potential predictors, with p ≤ 0.05 considered significant. Results: Overall, (23.5%) of respondents reported experiencing severe dizziness during metro travel (82/349). Females were more affected than males (32.1% vs. 15.8%; χ²(1) = 12.06, p = 0.0005, Cramer’s V = 0.186), although this association lost significance in the adjusted model. Height showed a borderline association (p = 0.053). In multivariable analysis, previous similar episodes were the strongest independent predictor of dizziness (aOR 15.63, 95% CI 6.40–38.16, p < 0.001). ANOVA revealed no difference in severity by sex or height (p > 0.7). Conclusions: Motion sickness affects nearly one-quarter of Saudi metro travelers (23.5%) and is predominantly influenced by a history of previous similar episodes rather than demographic factors. These findings underscore the need for targeted preventive strategies, ergonomic vehicle design, and public health education to mitigate the burden of motion sickness in the KSA’s expanding transportation systems. Full article

Background/Objective: Transformational leadership (TL) by nurse managers is a modifiable organizational factor consistently linked to improved staff outcomes. However, evidence from the Arab Gulf region, particularly the Kingdom of Saudi Arabia (KSA), is limited. This study aimed to assess the relationship between nurse managers’ TL and staff nurses’ intent to stay and determine which TL dimensions predict intent to stay. Methods: A cross-sectional online survey was conducted among staff nurses at a three-hospital academic medical city in Riyadh, KSA. A total of 523 eligible respondents successfully completed the survey, utilizing probabilistic cluster sampling to guarantee representation from various nursing units within the medical city. Nurse managers’ TL was assessed across five dimensions by using the multifactor leadership questionnaire, and staff nurses’ intention to stay was measured using intent to stay scale. Descriptive statistics summarized the respondents’ demographic profile, nurse managers’ TL and staff nurses’ intent to stay. Normality was evaluated using Shapiro–Wilk and Kolmogorov–Smirnov tests. Relationships were examined using Spearman’s rank correlation, and multivariable ridge regression modeled the predictive contributions of the overall TL and its five dimensions to intent to stay. Results were considered significant if p < 0.05. Results: Nurse managers’ TL exhibited a positive association with staff nurses’ intention to stay in their current positions (r = 0.22, p < 0.001). Moreover, every dimension of TL demonstrated a strong positive relationship with the intent to stay (all p-values < 0.001). Multivariable ridge regression analysis revealed that the overall TL was a significant predictor of the intent to stay (β = 0.13, p < 0.001). Conclusions: The findings corroborate prior evidence linking TL to retention intentions. This underscores the practical salience of leadership competencies and attributes of nursing leaders, particularly TL, which recognizes the individual needs of staff nurses. This recognition subsequently fosters retention intentions, cultivates supportive nursing work environment, and enhances overall organizational success. Full article

Vast areas of natural rangelands in the Kingdom of Saudi Arabia (KSA) suffer from deterioration due to the scarcity of vegetation cover and poor soil quality. Assessing soil quality in rangelands is crucial to identifying degraded lands and to implementing proper sustainable management practices. In this study, a total data set (TDS) containing 27 physical and chemical soil indicators was generated for three rangelands (Al-Fahyhyl, Al-Sahwa, and Al-Tamryate) in KSA. Principal component analysis (PCA) and analytic hierarchy process (AHP) analysis were employed to establish a minimum data set (MDS) and to evaluate key physical and chemical properties affecting soil quality, along with the associated weight factor for each indicator. Results indicated that the MDS represented ≥70% of the total variability of the TDS and accurately estimated the soil quality index (SQI) based on determined physical and chemical soil properties in the study regions. Linear regression indicated high correlation between SQI-TDS and SQI-MDS, with the R² ranging between 0.51–0.87. On the surface layer (0–30 cm), the MDS contained seven soil indicators (sand, dispersion ratio (DR), mean weight diameter (MWD), bulk density (BD), total organic carbon (TOC), available phosphorus (Pa), and available potassium (Ka)), whereas in the sub-surface layer it contained six indicators (sand, DR, MWD, BD, TOC, Pa, and Ka). In all regions, sand had the largest weight factor (0.4514–0.4835), followed by TOC (0.2441–0.2512). Under the arid climate present in all the study sites, sand and TOC levels are crucial for nutrient retention, soil structure, and water retention. Most of the study areas had very low and low SQI (Al-Fahyhyl, 74.4%; Al-Sahwa, 61.8%; and Al-Tamryate, 81.7%), indicating an immediate need for suitable agricultural practices such as reduced tillage, increased organic amendments, and proper water management. The outcomes of this study offer valuable insights for land managers, legislators, and agricultural stakeholders to pinpoint regions in need of development, conduct comprehensive and continuous monitoring of SQI in rangeland areas, and implement land management plans for rangeland rehabilitation and environmental sustainability. Full article

Understanding long-term rainfall variability is essential for addressing Saudi Arabia’s growing challenges of water scarcity, climate resilience, and sustainable resource management in its arid to hyper-arid environment. This study analyzes the spatiotemporal variations and long-term rainfall trends across the 13 administrative regions of the Kingdom of Saudi Arabia (KSA) using four decades of observed data (1982–2021) from the National Center for Meteorology (NCM). The non-parametric Mann–Kendall (M–K) test and Sen’s slope estimator were applied to detect and quantify rainfall trends. Results reveal that 10 of the 13 regions show statistically significant negative trends, excluding the Eastern, Mecca, and Tabuk regions, with declines ranging from −4 to −16 mm/yr. The most pronounced decreases occurred in Hail, Al-Qassim, Riyadh, Medina, and Asir, while Mecca and Tabuk exhibited weak positive signals during the last decade, likely linked to Red Sea Trough dynamics. Seasonal analysis indicates the largest declines during winter and spring, crucial periods for groundwater recharge and agriculture, whereas summer rainfall remains localized in the southwestern highlands with a slight decreasing trend. Overall, rainfall variability in Saudi Arabia reflects both long-term drying and short-term oscillations. The findings provide a robust rainfall baseline to support water security, climate adaptation, and sustainable management strategies in one of the world’s driest regions. Full article

The rapid integration of Artificial Intelligence Assistive Technology (AIAT) into higher education has generated new avenues for visually impaired university students, primarily in enhancing accessibility, self-autonomy, and academic performance. This study examined associations between AIAT-related perceptions and mental-health indicators (depression, anxiety, and stress) among visually impaired higher education students in the Kingdom of Saudi Arabia (KSA). A quantitative research approach was employed, using a self-administrated questionnaire targeting 390 visually impaired students in KSA universities. Partial least squares structural equation modelling (PLS-SEM) was employed as the main data analysis technique. The findings emphasised two important issues. First, performance expectancy (PE) of AIAT adoption, Effort expectancy (EE), and social influence (SI) are forceful psychological facilitators that can buffer against the feeling of depression and anxiety in visually impaired university students. Second, minimising the feeling of stress requires more than the existence of good infrastructure or social support; it necessitates systemic and ongoing interventions, comprising proactive university support, an accessible learning context, and personalised training programmes. These insights highlight the need for implementing inclusive support systems that combine technological, psychological, and university dimensions to promote the advantages of AIAT adoption for visually impaired students. Full article