SACM - Jordan
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9658
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Item Restricted The Role of Artificial Intelligence in Monitoring the Quality of Construction Project (Case Study) in Al-Jouf Region(Saudi Digital Library, 2025) Alsharari, Abdulmohsen; AlBtoush, MuhammedThis study investigates the current status and potential of Artificial Intelligence (AI) applications in Construction Engineering and Management (CEM) in the Al-Jouf region of Saudi Arabia. AI has demonstrated significant promise in enhancing resource use, project performance, and quality control in a number of industries; however, Al-Jouf's implementation of AI is beset by particular difficulties, including a lack of funding, a lack of skilled AI specialists, and limited infrastructure. The study uses a descriptive-analytical methodology to fill this gap, combining a review of the literature with primary data gathered from stakeholders in ongoing construction projects in Al-Jouf using a structured questionnaire. The approach includes both secondary sources (academic literature, journals, and reports) and primary sources (field responses from engineers, project managers, and administrative personnel). Data analysis was conducted using SPSS software to evaluate AI awareness, current applications, challenges, and impacts on construction quality dimensions—namely technical compliance, time performance, cost control, and customer satisfaction. The structured questionnaire was designed based on a pilot test and adapted to reflect local construction sector dynamics. Non-probability purposive sampling was used to ensure the selection of knowledgeable participants. The study offers practical insights and recommendations to policymakers, engineers, and industry stakeholders for facilitating AI adoption, aligning it with local project requirements, and supporting sustainable development in the construction sector. The study results indicate a generally positive impression of AI in the construction sector in Al-Jouf region, with a high average score of 3.76. The field “Impact of AI on the Quality of Construction Projects” received the highest score (M = 3.97), while the second field, “Challenges of Applying AI in Construction Projects” received a high score (M = 3.93). The field “Using AI in Project Quality Control” also received a high score (M = 3.76). The lowest-rated field was “Awareness of AI in the Construction Sector” (M = 3.37). The study recommended promoting a culture of artificial intelligence in the sector through collaboration between government agencies and educational institutions with construction companies to ensure regular workshops, seminars, and technical training courses on the fundamentals of artificial intelligence and its applications in the construction sector.21 0Item Restricted أثر الذكاء االصطناعي في أداء إدارة المخاطر في المؤسسات الحكومية السعودية دراسة تحليلية تطبيقية في هيئة الزكاة والضريبة والجمارك السعودية(Saudi Digital Library, 2025) Alruwaili, Mohmed Theyab; المبيضين, باسم احمدهدفت الدراسة إلى التعرف على أثر الذكاء الاصطناعي في أداء إدارة المخاطر في المؤسسات الحكومية السعودية، مع تطبيق تحليلي على هيئة الزكاة والضريبة والجمارك السعودية .اعتمدت الدراسة على المنهج الوصفي التحليلي، واستخدمت الاستبانة كأداة رئيسية لجمع البيانات الأولية من عينة الدراسة. تمثل مجتمع الدراسة في جميع العاملين بهيئة الزكاة والضريبة والجمارك السعودية البالغ عددهم 12700 موظف وموظفة، وتمثلت عينة الدراسة في 323 مفردة تم اختيارهم بطريقة العينة العشوائية. تناولت الدراسة الذكاء الاصطناعي كمتغير مستقل بأبعاده: النظم الخبيرة، الشبكات العصبية، والوكلاء الأذكياء، بينما كان أداء إدارة المخاطر هو المتغير التابع. أظهرت النتائج أن هناك اثر إيجابيا وذو دلالة احصائية لأبعاد الذكاء الاصطناعي ( النظم الخبيرة، الشبكات العصبية، الوكلاء الأذكياء )على أداء إدارة المخاطر في هيئة الزكاة والضريبة والجمارك السعودية كما كشفت النتائج عن مستوى مرتفع جدا للموافقة على تطبيق أبعاد الذكاء الاصطناعي ومستوى مرتفع لأداء ادارة المخاطر في الهيئة أوصت الدارسة بناء على هذه النتائج بضرورة تعزيز الاستثمار في البنية التحتية للذكاء الاصطناعي، وتطوير وتطبيق نظم خبيرة متقدمة، والاستفادة القصوى من الشبكات العصبية في التحليل التنبؤي للمخاطر، وتفعيل دور الوكلاء الأذكياء في المراقبة وأتمتة الاستجابة الأولية. كما أكدت على أهمية تأهيل وتدريب الكوادر البشرية، ووضع إطار حوكمة واضح الاستخدام الذكاء الاصطناعي في إدارة المخاطر، وتبادل الخبرات مع الجهات الرائدة. The study aimed to identify the impact of artificial intelligence on risk management performance in Saudi government institutions, with an analytical application to the Saudi Zakat, Tax and Customs Authority. The study adopted a descriptive analytical approach, and a questionnaire was used as the primary tool to collect primary data from the study sample. The study population comprised all employees of the Saudi Zakat, Tax and Customs Authority, totaling 12,700 male and female employees. The study sample consisted of 323 individuals selected through a random sampling method. The study examined artificial intelligence as an independent variable with its dimensions: expert systems, neural networks, and intelligent agents, while risk management performance was the dependent variable. The results showed a positive and statistically significant impact of AI dimensions (expert systems, neural networks, and intelligent agents) on risk management performance at the Saudi Zakat, Tax, and Customs Authority. The results also revealed a very high level of approval for the implementation of AI dimensions and a high level of risk management performance at the Authority. Based on these results, the study recommended the need to enhance investment in AI infrastructure, develop and implement advanced expert systems, maximize the use of neural networks in predictive risk analysis, and activate the role of intelligent agents in monitoring and automating initial responses. It also emphasized the importance of qualifying and training human resources, establishing a clear governance framework for the use of AI in risk management, and exchanging expertise with leading entities.34 0Item Restricted The Role of Artificial Intelligence in Strengthening Cyber Defense Mechanisms: Opportunities and Challenges(University of Bedfordshire, 2024) Alanazi, Mohammed; Garner, LeeThis study explores the role of Artificial Intelligence (AI) in strengthening cyber defense mechanisms, focusing on the opportunities and challenges it presents. In recent years, AI has shown potential in enhancing threat detection, response efficiency, and proactive cybersecurity measures. The study examines various AI applications in cyber defense, including machine learning for real-time threat identification and natural language processing for analyzing large-scale data patterns. While AI provides significant advantages in mitigating cyber threats, challenges such as model interpretability, ethical concerns, and vulnerability to adversarial attacks persist. The findings contribute to cybersecurity by highlighting both the promising capabilities and limitations of AI in this domain, suggesting future research directions to address these challenges.48 0