SACM - Jordan
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9658
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Item Restricted A Review of Constraints within the Canonical Hamiltonian Approach(Saudi Digital Library) ABDULAZIZ SUNAYYEM SAAMA ALSHARARI; Supervisor Prof. Khaled I. Nawafleh4 0Item Restricted AI Integration for Hazard Risk Mitigation and Worker Safety in Green Building Projects(Saudi Digital Library, 2025) Alanazi, Fars; Rabi, MusabThis study investigated the role of Artificial Intelligence (AI) in hazard risk mitigation and worker protection within green building projects in the Kingdom of Saudi Arabia, a sector that gained momentum under the country’s Vision 2030 sustainability goals. Green construction projects introduced unique safety risks due to the use of renewable energy systems, smart materials, and modular designs, which traditional safety protocols often failed to address effectively. The research examined whether AI-based technologies could offer proactive and adaptive safety management strategies in this evolving context. The study focused on five AI-enabled components: (1) AI- powered hazard detection, (2) AI-driven risk prediction and alert systems, (3) wearable smart safety devices, (4) AI-based worker training programs, and (5) AI-supported regulatory compliance tools. Six core research questions guided the analysis, each exploring how these technologies contributed to risk mitigation and safety enhancement. A quantitative descriptive- analytical method was employed using a structured questionnaire distributed to 350 employees working in green construction projects across Saudi Arabia. Data were analyzed using SPSS for descriptive statistics, t-tests, and preliminary regressions, while Structural Equation Modeling (SEM) via AMOS was used for model validation. The results showed that all AI components had a statistically significant positive effect on improving occupational safety, with wearable AI devices demonstrating the highest influence (R² = 0.297), followed by AI-based training systems (R² = 0.222) and risk prediction models (R² = 0.246). Model fit indices (CFI = 0.954, RMSEA = 0.041) indicated strong alignment between the conceptual framework and empirical data. Although the study focused on green construction, the proposed AI-driven safety strategies such as real-time risk prediction, biometric monitoring, and automated compliance reporting were found to be highly transferable to conventional construction environments. Their implementation in traditional projects could similarly improve safety outcomes, especially in high-risk or large-scale developments. The study concluded by emphasizing the value of integrating AI technologies into construction safety practices to enhance predictive risk management, regulatory alignment, and incident prevention. It recommended broader adoption of AI tools, particularly wearable technologies and predictive models, across both green and traditional construction sectors. The study also called for institutional support through training and policy reforms to accelerate AI adoption in line with Saudi Arabia’s sustainable development agenda.33 0Item Restricted AN INVESTIGATION INTO THE CAUSES AND SOLUTIONS OF THE WEAKNESS IN SPEAKING Skills AMONG EFL INTERMEDIATE STUDENTS AS PERCEIVED BY ENGLISH LANGAUGE TEACHERS IN AL-JOUF REGION(Saudi Digital Library) Saleh Ali Ahmad ALDAKHIL; Dr. Nayel Al-Shara'h ,Prof30 0Item Restricted ANALYSIS OF PROJECT MANAGEMENT PRACTICES IN PUBLIC SECTOR IN THE KINGDOM OF SAUDI ARABIA(Saudi Digital Library) MASOUD MOHAMMED F ALQAHTANI; Dr. Ghaleb J. Sweis, Prof.13 0Item Restricted Assessing Telehealth Readiness and Contributing Factors Among Nurses and Nurse Managers in Saudi Arabia: A Cross-Sectional Study(Alzarqa University, 2025) Alanazi, Wael Faleh; Alhusban, RayaAbstract Background: Telehealth is increasingly essential in modern healthcare, improving access and quality, particularly in rural regions like Aljouf, kingdom of Saudi Arabia (KSA). Therefore, understanding the factors influencing telehealth readiness is crucial for its successful implementation. Aim: This study aims to assess telehealth readiness among nurses and managers at Aljouf Hospitals, KSA and identify key predictors that influence telehealth readiness. Methodology: A descriptive cross-sectional correlational study was conducted with 153 nurses and managers from Aljouf Hospitals. Data were collected using the Telehealth Readiness Assessment Tool (TRAT). Results: A total of 163 nurses and managers participated. The mean total telehealth readiness score was 4.17 (SD = 0.90), indicating a high level of overall readiness. Among the subscales, structural readiness scored the highest (M = 4.20, xv SD = 0.90), followed by engagement (M = 4.19, SD = 0.95) and core readiness (M = 4.10, SD = 0.99).. Readiness scores significantly differed by variables including marital status, education, telehealth training, usage frequency, and organizational support (p < .05). Correlation analysis revealed strong positive relationships among readiness subscales with age. Multiple regression identified age, experience, and income as significant predictors of telehealth readiness (p < .05), explaining up to 93.5% of the variance in total readiness. Conclusion: The findings reveal a high level of telehealth readiness among nurses and managers in Aljouf hospitals, with structural factors and engagement emerging as key strengths. Organizational support, individual experience, and prior training significantly influenced readiness. These insights highlight the importance of targeted training, supportive infrastructure, and policy alignment to optimize telehealth implementation in similar healthcare settings. Keywords: Telehealth readiness, nurses, managers, Saudi Arabia, healthcare technology, cross-sectional study, predictors.42 0Item Restricted Assessing the changing nature of Saudi Arabia’s diplomacy towards Egypt since the eruption of the Arab Spring(Saudi Digital Library) MAY ANWAR MOHSEN ALYAEESH; Dr.Walid Abu Dalbouh3 0Item Restricted Assessment of Text Translation in Saudi Aramco (Jeddah Branch)(Saudi Digital Library) SALEH SAEED N ALGHAMDI; Prof.Adullah T. Shunnaq60 0Item Restricted ASSOCIATION BETWEEN ADIPONECTIN GENE POLYMORPHISM AND ATRIAL FIBRILLATION(Saudi Digital Library) MOHAMMED SAAD MAQBUL ALHARBI; د. محمود محمد العمري0 0Item Restricted code mixing in mbc1 series;almasageel(Saudi Digital Library) ABDULLAH AWADH FAHHAD ALQAHTANI; أ.د محمود حسين وردات12 0Item Restricted COMPERATIVE STUDY BETWEEN STANDARD AND JORDANIAN DIATOMACEOUS EARTH FOR ADSORPTION OF RARE-EARTH METALS, (Sm, Nd) FROM AQUEOUS SOLUTION(Saudi Digital Library) ABDULMONEM OBAIDALLAH MALATAWI; Dr. Imad Moh’D Khair Hamadneh, Prof.0 0Item Restricted CORRELATIONS BETWEEN BLOOD LEAD LEVELS AND ERYTHROPOIETIN IN JORDANIAN INDUSTRIAL WORKERS(Saudi Digital Library, 2025) AlFariji, Fatoun Mohammed; Amawi, Kawther Faisalwas unable to locate any published study that specifically examines the correlation between blood lead levels (BLLs) and erythropoietin (EPO) levels among industrial workers in Jordan. However, I found a number of related findings and gaps that are worth highlighting — this may help you frame a research proposal or identify where the literature is thin.6 0Item Restricted Design a Quality Model for Technical Aspects of Mobile Tourism Services in Kingdom of Saudi Arabia: A Case Study Approach(Amman Arab University, 2025) Alzaid, Adi; Jaradat, GhaithThe rapid digital transformation of public services, particularly in Saudi Arabia under the Vision 2030 initiative, has led to the widespread adoption of Mobile Tourism Services Applications (MTSAs). Ensuring the technical quality of these applications is critical for improving user satisfaction and service delivery efficiency. This study proposes a comprehensive Technical Quality Model tailored for MTSAs, integrating both technical and user-centered dimensions. The model evaluates key factors such as usability, performance, security, and user satisfaction, while also considering the unique cultural, regulatory, and infrastructural context of Saudi Arabia. Using a mixedmethods approach, the study combines quantitative data from 500 end-users and 50 developers with qualitative insights from interviews and document reviews. Statistical analyses reveal that security (mean = 4.5, SD = 0.7) is the strongest predictor of user satisfaction, with a Pearson correlation of 0.75. Regression analysis shows that security (β = 0.52, p < 0.001) explain 65% of the variance in user satisfaction (R² = 0.65). Additionally, gender significantly moderates satisfaction (t = 2.34, p = 0.02) and experience (t = 3.45, p = 0.001), with males reporting higher satisfaction than females as well as highly experienced. Based on these findings, the study recommends prioritizing usability improvements, enhancing security features, and addressing genderspecific design needs to boost user satisfaction. Future work should explore the integration of emerging technologies such as AI and blockchain to further enhance the technical quality of MTSAs and validate the proposed model in other regions with similar public service requirements.21 0Item Restricted DETERMINATION OF ALCOHOL LEVEL IN SELECTED BEVERAGES(Saudi Digital Library) SAJI JABER SAAD AL RASHDAN; أ.د عبدالقادر بطاح2 0Item Restricted Determination of the Activity and Kinetics of Proteases from Different Plant Sources(Saudi Digital Library) FATMAH NASSER M ALOMIRI; الدكتور عمر عطروز0 0Item Restricted Difficulties in Translating Some Barbara Walkers' Novel "The Art of the Turkish Tale"(Saudi Digital Library) Jordan Test User; Prof. Mohammad Al-Qur'an51 0Item Restricted Director's Civil Liability Provisions in Venture Capital Companies: A Comparative Study between Jordanian Law and Saudi System(Amman Arab University, 2025) albaraa, hussain; Almusaedeh, AhmadThis study examines the civil liability provisions applicable to the manager in venture capital companies, through a comparative analysis between Jordanian law and the Saudi legal system. It focuses on the manager’s duties, the legal basis of civil liability arising from the violation of these duties, and the mechanisms available to protect both the company and third parties. The study aims to highlight the similarities and differences between the two legal systems and to propose recommendations that may enhance legal protection in venture capital companies.32 0Item Restricted EFFECT OF HEAT STRESS ON INTESTINAL INTEGRITY AND MORPHOLOGY IN BROILER CHICKENS(Saudi Digital Library) ALHANOF MOHAMMAD ABDULLAH ALHENAKY; د. عبدالرحمن فطافطة4 0Item Restricted EFFECTIVENESS OF PREVENTIVE MEASURES TO COMBATING TERRORISM: SAUDI ARABIA AS A CASE STUDY (2001-2012)(Saudi Digital Library) Jordan Test User; Dr. Zaid M. Eyadat, Prof18 0Item Restricted ENHANCING PACKET LOSS RATIO IN HARD HANDOVER IN UMTS(Saudi Digital Library) IBRAHIM FAYED A ALANAZI; Dr. Mohammad Qatawneh1 0Item Restricted Evaluating Facility Operation Management in Saudi Post Offices Through Key Performance Indicators (KPIs)(Saudi Digital Library, 2025-05) Alanazi, Awadh; Rabi, MusabThis thesis examines Facility Operation Management (FOM) performance in Saudi Post Offices through Key Performance Indicators (KPIs). The research investigates how the current KPI application assists and enhancing facility operations management across important areas: cost efficiency, customer service quality, operation and maintenance quality, business continuity, and occupational health and safety. Moreover, it examines the difficulties and limitations experienced in applying and using KPIs in facility operation management. The study seeks to give a thorough knowledge of KPIs' present application, their influence on FOM performance, and the challenges impeding their successful acceptance. A quantitative approach was adopted for this research. The study sample was selected from among the managers, supervisors and senior employees involved in managing the Saudi post offices in the Kingdom of Saudi Arabia. Data was collected through a structured questionnaire. The results confirmed that there is significant impact of the selected KPIs on enhancing facility operation management performance, and there are few challenges facing implementation of these KPIs in facility operation management. The results guide the creation of a workable framework for recognizing and applying appropriate key performance indicators (KPIs) to maximize operational management practices of Saudi Post Offices, therefore improving overall performance, service delivery, and operational efficiency. Keywords: Facility operation management, Key performance indicators, Postal offices.7 0