Saudi Cultural Missions Theses & Dissertations
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Item Restricted السجل الصحي الالكتروني وعلاقته برضا العاملين في المستشفيات الحكومية بالمدينة المنورة(Saudi Digital Library, 2025) المطيري, فهد سفر مرزوقهدف البحث هو التعرف على دور السجل الصحى الالكترونى بأبعاده (المواقع الالكترونية ، الملف الطبى الالكترونى، الصيدلية الذكية ، التطييب الالكترونى) فى تحقيق رضا العاملين ، من خلال اختيار عينة من العاملين بالمستشفيات الحكومية بالمدينة المنوية بالمملكة العربية السعودية (مستشفى الملك فهد بالمدينة المنورة، مستشفى النساء والولادة والأطفال، مستشفى الأنصار في المدينة المنورة، مستشفى الأمير عبد المحسن) قدرها 376 مفردة ، وذلك بالاعتماد على استخدام اسلوب الاستقصاء . وتوصل البحث إلى أنه يوجد دور معنوى للمواقع الالكترونية فى تحقيق رضا العاملين ، وكذلك وجود دور معنوى للملف الطبى الالكترونى فى تحقيق رضا العاملين، وأيضاً دور معنوى للصيدلية الذكية فى تحقيق رضا العاملين، وأخيراً يوجد دور معنوى للتطيب الالكترونى فى تحقيق رضا العاملين بالمستشفيات محل الدراسة. الكلمات الافتتاحية : السجل الصحى الالكترونى ، المواقع الالكترونية ، الملف الطبى الالكترونى، الصيدلية الذكية ، التطيب الالكترونى، رضا العاملين8 0Item Restricted السلوك القيادي وعلاقته بالمناخ التنظيمي(Saudi Digital Library, 2025-06-21) الشمري, خالد بن عبدالهادي صكبالملخص تهدف هذه الدراسة إلى استكشاف المفاهيم النظرية للسلوك القيادي وعلاقته بالمناخ التنظيمي في المنظمات. كما تسعى إلى الكشف عن العلاقة بين السلوك القيادي وأبعاد المناخ التنظيمي، والتي تشمل التفويض، اتخاذ القرار، العلاقات الإنسانية، والعمل الجماعي، لدى موظفي جامعة حفر الباطن. ولتحقيق هذه الأهداف، استخدم الباحث المنهج الوصفي التحليلي، وتكون مجتمع الدراسة من (400) موظفًا بجامعة حفر الباطن، تم اختيار عينة عشوائية منهم قوامها (195) مشاركًا.4 0Item Restricted Evaluating Dispatcher-Assisted CPR: A Global Systematic Review and Observational Study in Asir, Saudi Arabia(Saudi Digital Library, 2025-06-17) Alshedidi, Ahmed Mohmmed; Zainab, AlqudahThis thesis evaluates the impact of Dispatcher-Assisted Cardiopulmonary Resuscitation (DACPR) on bystander CPR rates and patient outcomes following out-of-hospital cardiac arrest (OHCA). The first part is a systematic review of 17 studies from Asia, Europe, and North America, demonstrating increased bystander CPR and improved survival outcomes associated with DACPR. The second part is a retrospective observational study conducted in the Asir region of Saudi Arabia, which assessed call recognition, language-related delays, and early outcomes using linked dispatch and EMS data. Findings show that language and dispatcher qualifications influence recognition time and early survival indicators. The study highlights the need for improved training and multilingual protocols in Saudi EMS systems.8 0Item Restricted Effects of interventions on digital addiction: a systematic review of randomised controlled trials(Saudi Digital Library, 2025-07) Alalyani, Ali; Dr. Hassan HosseinzadehDigital addiction represents a growing and serious public health concern. To evaluate the effects of available interventions for digital addiction in the literature. The PRISMA guidelines were adopted for this systematic literature review. A systematic search in four databases was performed to identify eligible studies without restrictions on intervention type or sample size up to June 2024. A total of 15 randomised controlled trials (RCTs), which included 3815 participants, were incorporated into the analysis. The results showed a significant difference in digital addiction between the intervention and control groups postintervention. Exercise and psychological interventions demonstrate consistent positive effects on addiction levels and associated mental health outcomes. Further research is warranted to evaluate the efficacy of digital interventions in hybrid settings and to explore socioeconomic factors that could influence digital addiction intervention efficacy.12 0Item Restricted Business Administration(Saudi Digital Library, 2025-01-09) Alenzi, OmarThis study aimed to reveal the impact of organizational energy on organizational commitment among employees of the Saudi Telecom Company in Riyadh, Kingdom of Saudi Arabia, by applying it to a sample of 434 individuals from employees of the Saudi Telecom Company in Riyadh, Kingdom of Saudi Arabia. Using Pearson's correlation coefficient, the study found a significant correlation between all dimensions of both organizational energy and organizational commitment. The regression coefficient was also used and the results showed a significant positive impact of organizational energy on organizational commitment in general, as well as a significant positive impact of organizational energy dimensions on each dimension of organizational commitment. Finally, the results showed significant differences in the opinions of the study sample regarding organizational energy due to gender differences at a significance level of 0.01. It also became clear that there were significant differences in the opinions of the study sample regarding organizational commitment due to differences in income levels at a significance level of 0.01, while there were no significant differences in the opinions of the study sample regarding organizational energy due to differences in educational level, experience or income level at a significance level of 0.05. There were also no significant differences in the opinions of the study sample regarding organizational energy due to differences in educational level, experience or income level at a significance level of 0.05. The study sample on organizational commitment is due to differences in gender, educational level, or experience at a significance level of 0.05.2 0Item Restricted An Analytical Study of the Rising Cyber Attacks in Saudi Arabia(University of Portsmouth, 2025-05-07) Almutairi, Khaled; Martin, SparriusThis final-year project examines whether Saudi Arabia's cybersecurity infrastructure is sufficiently robust to withstand future cyber threats. this study examines previous cyber incidents in Saudi Arabia and assesses the effectiveness of national responses to evaluate the country's preparedness for future cyber threats. A questionnaire was distributed to 50 cybersecurity professionals in Saudi Arabia to assess their preparedness for emerging threats. The results indicate that ransomware is the most anticipated threat, with small to medium-sized businesses expected to be the primary victims. One key finding is the overconfidence of employees, which hinders adequate preparation for future threats. The study concludes that although Saudi Arabia is making considerable progress, it is still in a developmental phase and not yet fully prepared for emerging cyber threats. Based on the findings, the following recommendations are made: • Compulsory training should be provided for cybersecurity professionals and non-specialised employees to improve overall awareness and response capabilities. • A centralised cyber threat intelligence sharing platform should be established to enable real-time data sharing across organisations, enhancing collective defence efforts. • Increased Research and Development investments are necessary to develop advanced technologies to keep up with emerging cyber threats. • Government-supported cybersecurity assistance for SMEs involves assigning a cybersecurity professional to new SMEs for two years, ensuring they have the expertise needed to defend against cyber risks and build resilient security practices. These strategies are crucial for enhancing Saudi Arabia’s cybersecurity preparation against future challenges.17 0Item Restricted Mobility Assistive Technology Provision in Saudi Arabian Healthcare: Identifying Barriers and Developing Implementation Strategies(Saudi Digital Library, 2025-07-28) Aldawood, Asma; Hind, Daniel and Rushton, Simon and Field, BeckyBackground: Mobility-related disabilities are the most prevalent in Saudi Arabia, significantly impacting quality of life. While mobility assistive technologies (MATs) help mitigate impairments, unmet needs persist in Saudi Arabia’s healthcare system, with a critical knowledge gap regarding factors influencing their provision. Aim: To investigate the factors influencing MAT provision in Saudi Arabia’s healthcare system and recommend strategies to overcome the identified barriers to inform policy. Methods: First, a scoping review was conducted to understand the barriers to MAT provision by summarising and synthesising theories, models and frameworks (TMF) and identifying key determinants and gaps (Chapter 2). Second, an online survey across three hospitals in two geographical regions assessed MAT availability in Saudi Arabia’s healthcare system, with descriptive statistics used to summarise the findings (Chapter 3). Third, a qualitative embedded multiple-case study was conducted, involving 33 semi-structured interviews with healthcare professionals, managers and leaders, along with an analysis of six documents. The Consolidated Framework for Implementation Research (CFIR) guided data collection and analysis (Chapter 4). Finally, the findings from the previous chapters were triangulated, and the CFIR-Expert Recommendations for Implementing Change (ERIC) matching tool was used to develop strategies (Chapter 5). Results: The scoping review synthesised 8 TMFs into nine propositions describing MAT provision barriers. The survey showed limited and inconsistent MAT provision across hospitals. The qualitative investigation identified barriers across the CFIR domains, with integration identifying six key barriers: healthcare system and policy, procurement and delivery, device-related, information and awareness, resource and infrastructure, and personal and environmental barriers. The CFIR-ERIC matching process identified priority strategies, including identifying and preparing champions, conducting educational meetings, assessing readiness, and conducting local consensus discussions. Conclusion: This research provides the first comprehensive investigation of MAT provision barriers in Saudi Arabia and identifies strategies for improvement. Future research should evaluate these strategies within the Saudi context.14 0Item Restricted Exploring the Antimicrobial Properties of Isolated Glucosinolate Compounds from Rocket Leaves(Saudi Digital Library, 2025-07-31) Aldossari, Huda M; Wagstaff, CarolWhile plant-derived antimicrobial agents are increasingly recognized, the bioactivity of glucosinolates (GLS) from underutilized Brassicaceae species such as Eruca sativa (rocket) remains poorly characterized. E. sativa contains unique GLS, including Diglucothiobeinin, Glucosativin, and Dimeric 4-mercaptobutyl glucosinolate, which are structurally distinct from those in well-characterized Brassicaceae vegetables. This study aimed to elucidate the antimicrobial efficacy and mechanistic pathways of E. sativa-derived GLS against bacterial pathogens, with implications for natural food safety interventions. Methodologically, a series of protocols combining analytical chemistry and molecular microbiology were employed. High-performance liquid chromatography (HPLC) was optimised to isolate four glucosinolate (GLS) compounds (Diglucothiobeinin, Glucosativin, DMB, and 4-Methoxyglucobrassicin), with purity and structural identity confirmed via Ultra High-Performance Liquid Chromatography UHPLC-MS. Antimicrobial assays revealed concentration-dependent inhibition of Escherichia coli K-12, with Diglucothiobeinin exhibiting the highest potency (MIC: 450 ng/μL), followed by glucosativin and DMB (MIC: 800 ng/μL). Glucosativin also demonstrated selective efficacy against antibiotic-resistant Listeria monocytogenes strains. Further studies showed E. coli K-12 metabolized GLS via endogenous β-glucosidases, delaying growth inhibition. Deletion mutants lacking ascB or bglA genes (encoding 6-phospho-β-glucosidases) exhibited impaired GLS consumption and enhanced susceptibility, confirming bacterial enzymatic activation, their involvement in GLS metabolism and subsequent generation of antimicrobial compounds. Screening of the KEIO collection (single-gene knockout strains in the K12 BW25113 strain background) identified genes involved in metabolising GLS. The ΔemrA mutant, which lacks a functional EmrAB-TolC efflux system, exhibited hypersensitivity to both intact GLSs and their hydrolysis products, underscoring the role of this efflux system in mediating resistance. In contrast, the ΔccmE mutant, deficient in cytochrome c maturation, displayed increased resistance, likely due to alterations in redox homeostasis. These findings provide novel insights into the antimicrobial potential of E. sativa-derived GLSs, which combine direct inhibitory effects with bacterial metabolism-dependent activation. The results highlight their potential as natural alternatives against antibiotic-resistant pathogens, particularly in food preservation and sanitation contexts where microbial enzymatic activity may enhance efficacy.4 0Item Restricted An Analysis of The Importance of Sustainability in the Tourism Sector in the Perspective of Locals: A case Study of Saudi Arabia(Saudi Digital Library, 2025-03-31) Alanazi, Salman; Robinson, PeterSustainability Tourism Saudi Arabia Sustainable tourism Environmental awareness Tourist behavior Vision 2030 Local engagement Eco-tourism Sustainable development8 0Item Restricted Algorithm Selection and Landscape Analysis For Constrained Multi-Objective Optimization Problems(Saudi Digital Library, 2025) Alsouly, Hanan; (Kirley, Michael); (Munoz Acosta, Mario)Constrained multi-objective optimization problems (CMOPs) present significant challenges due to the need to optimize multiple conflicting objectives simultaneously under various constraints. In recent years, several constrained multi-objective evolutionary algorithms (CMOEAs) have been developed to tackle these problems. However, their performance is typically evaluated by comparing a few algorithms on specific problem instances, which can make it difficult to know which algorithm is the best fit for a particular situation. Selecting the most suitable algorithm for a given problem instance, known as algorithm selection, is critical yet challenging due to the diverse and complex nature of CMOPs. Automating the algorithm selection process can be accomplished by delegating the task to a machine learning model. These models often require information about the problem to make reasonable decisions. A prominent approach to provide such information is landscape analysis, where the characteristics of a problem’s landscape are captured through numerical features. Despite the importance of algorithm selection, a notable gap remains in applying it to the CMOP domain, primarily due to the lack of sufficient landscape features and studies that explore how CMOP characteristics relate to CMOEA performance. This thesis addresses the existing gap by introducing innovative landscape analysis features specifically designed for CMOPs. These features capture essential elements of a problem’s landscape, such as the relationship between constraint violations and multi-objective fitness. Through instance space analysis, we demonstrate how these features highlight the strengths and weaknesses of various CMOEAs. Building on these insights, we propose a framework that incorporates algorithm selection directly into the optimization process. By combining our new landscape features, the performance data learned from benchmarking CMOEAs, and various machine learning methods, our framework enables the on-the-fly selection of the best-performing algorithm for each problem instance. Our research demonstrates that incorporating landscape features into the optimization process can lead to improved algorithm performance. Through the novel landscape features and the development of practical algorithm selection models, this research significantly advances the field of constrained multi-objective optimization.9 0