Saudi Cultural Missions Theses & Dissertations
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Item Restricted The One Billion Trees(University of Portsmouth, 2025) Alshayea, Abdulaziz; Brymer, KatharineThis assignment explores the One Billion Trees initiative in Mongolia through the lens of project management, cultural dynamics, leadership, change management, and risk analysis. The project, launched in 2021, aims to combat desertification and climate change by planting one billion trees by 2030. The discussion begins with an examination of the role of national and organisational culture, applying Hofstede’s Cultural Dimensions and addressing its limitations through complementary models like Schein’s Organisational Culture Model. Leadership theories—including Situational, Action-Centred, and Transformational Leadership—are assessed for their relevance in mobilising diverse stakeholders, such as government bodies, private companies, and local communities. Change management is evaluated using Kotter’s 8-Step Model and Lewin’s Change Model, with Kotter’s approach recommended for its structured stakeholder engagement and long-term adaptability. A comprehensive risk analysis is provided through a detailed risk register and commentary, identifying key threats such as climate variability, seed shortages, and funding delays, along with proposed mitigation strategies. Overall, the assignment highlights the importance of integrating cultural sensitivity, adaptive leadership, stakeholder-driven change models, and proactive risk management to ensure the success and sustainability of large-scale environmental projects.37 0Item Restricted EVENT OPERATION MANAGEMENT FOR HIKING SPORTS ACTIVITIES IN AL-ULA SAUDI ARABIA(Leeds Beckett University, 2024-12-17) Alanazi, Meshal; Dan, LomaxThis research aims to explore the role of event operation management in organising hiking sports activities in the Al-Ula area within Saudi Arabia. This is done through focusing on the challenges, responsibilities and innovative strategies employed by event managers. The study adopts a qualitative approach within an interpretive paradigm by using a case study strategy to understand the unique context of Al-Ula. Semi-structured interviews were conducted with six event operation managers experienced in managing outdoor adventure activities and thematic analysis was employed to identify key themes from the qualitative data. The findings reveal that successful event operation management for hiking activities hinges on comprehensive planning, effective use of technology, collaboration with local experts and balancing sustainability with participant safety and engagement. Key responsibilities identified include efficient resource allocation, proactive risk management and maintaining participant safety. Major challenges involve logistical difficulties in remote areas, unpredictable environmental conditions and managing diverse participant needs. Innovative strategies such as GPS tracking as well as utilising sustainable materials and local partnerships were highlighted as critical for ensuring smooth and interruption-free hiking events. The study proposes a conceptual framework for adaptive event management for outdoor sports which integrates dynamic risk management, sustainable practices, technology and local expertise to enhance both operational efficiency and participant satisfaction. One main limitation of the research is its narrow geographical scope which is considering solely on hiking activities in Al- Ula. This would limit the generalisability of findings to other locations or types of events. Future research should consider expanding the scope to include diverse geographical areas and applying a mixed-methods approach to further validate the findings. The results contribute to the understanding of effective event management practices in outdoor settings mainly in challenging environments like Al-Ula17 0Item Restricted The Role of Artificial Intelligence in Project Management(University of Technology Sydney, 2024-11-11) Muryif Alshehri, Mohammed; Abdo, PeterThe increasing complexity of global projects has elevated the challenges in project management, necessitating the adoption of innovative solutions. This study investigates the transformative potential of Artificial Intelligence (AI) in project management, emphasizing its role in enhancing decision-making, risk management, and operational efficiency. Employing a systematic literature review methodology, the research synthesizes findings from 13 high-index journal articles to evaluate AI techniques, including machine learning, decision trees, and advanced predictive analytics. The study identifies AI’s ability to improve resource allocation, forecasting accuracy, and stakeholder engagement while mitigating risks and optimizing sustainability. Findings highlight the integration challenges such as data quality, system compatibility, and resistance to change, which hinder the widespread adoption of AI tools. Despite these obstacles, AI demonstrates considerable benefits, including automation of routine tasks, enhanced cost estimation, and improved project timelines. Notably, AI-driven tools have achieved a 20% reduction in project completion times and a 15% decrease in costs due to proactive risk mitigation. This research provides actionable insights into the effective implementation of AI within the framework of traditional project management methodologies. It concludes that while AI presents significant opportunities to redefine project management practices, its successful adoption requires addressing technical and organizational challenges, along with fostering an adaptive cultural mindset. This study lays the groundwork for future research aimed at leveraging AI to create sustainable, efficient, and resilient project management ecosystems.63 0Item Restricted Process Safety Analysis in Mining(The University of Queensland, 2024-11-04) Fallatah, Mohammed; Hassall, MaureenMany people associate process safety events such as loss of containment, fire, or explosions with the chemical and refining industries. However, these catastrophic incidents have also occurred in the mining and mineral processing industries in recent decades. Learning from incident investigations, public inquests, and operational feedback is a vital safety element that provides background for regulators and policymakers and offers opportunities to ensure similar shortcomings do not arise in major hazardous sectors. However, no focus on process safety incidents relevant to the minerals processing industries could be found when searching such databases. Through a comprehensive literature review, this research addresses this gap by exploring whether such databases can be built and populated with publicly available information. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) method was used to systematically identify, evaluate, and analyze existing literature data. Thirty-three global incidents relevant to mineral processing were obtained, and their root causes were analyzed against established frameworks for process safety management systems and risk prevention approaches. Regions and locations of the incidents were also captured. Human, economic, and environmental impacts were recorded where available. 34% of the accidents' primary causes were equipment failures, leading to a loss of mechanical integrity; 12% were attributed to design failures related to structural integrity; 33% were unknown or unreported causes; and the rest were a combination of human error and failures of administrative systems. Incidents found through web searches lack essential details, while those found in organizations' press releases and governmental agencies are more detailed. The conclusion suggests adapting PSM in the mineral processing industries.27 0Item Restricted Governance and Asset Allocation Strategies in the Investment Mutual Funds(Univeresity of Strathclyde, 2024-12) Alsubaie, Aseel; Moore, JedThis research examines the role of governance in asset allocation and portfolio management within the investment mutual fund sector. Modern governance frameworks, influenced by technological advances, ESG requirements, and market volatility, integrate risk management, sustainability, and operational efficiency. The study evaluates how governance structures incorporate ESG criteria, manage technology risks, and ensure resilience during market shifts. Findings suggest that funds with strong governance achieve balanced, risk-averse allocations through diversification and ESG integration. Additionally, AI and ML require governance adjustments to manage related risks. The study emphasizes the need for flexible governance frameworks to address future challenges in an evolving market landscape.27 0Item Restricted Supervised Machine Learning. A Strategic Approach for Financial Fraud Detection(University of Nottingham, 2024-03) Bashehab, Omar Sami; Wang, HuamaoFinancial fraud is an increasingly concerning issue in the present day. The rapidly growing rate of fraudulent activities has led to significant financial losses for many stakeholders. Card-not-present (CNP) fraud has risen with the growth of digital sales. The same benefits attracting online banking and transactions have attracted fraudsters and cybercriminals. Consequently, the incentive for fraud detection for mitigating financial risk is evident. However, traditional detectors are outdated, and rule-based systems fail to keep up with the dynamic innovative methodologies of cybercriminals. Thus, the ML-based system is needed. However, various challenges exist within ML-based detectors. Firstly, datasets are typically highly imbalanced and secondly, a lack of real-world datasets makes research extremely difficult. To tackle these problems, different resampling methods such as RUS, ROS, SMOTE and a hybrid sampling approach (ROS + RUS) were used and evaluated. Furthermore, a novel dataset was used, augmented from an original PAYsim real-world synthetic data. Furthermore, predictive models such as Decision Tree, Logistic Regression, Random Forests, Support Vector Machine and (Gaussian) Naïve Bayes were used with the different resampling methods in a comparative approach. Finally, the importance of data preprocessing and feature engineering was explored and evaluated amongst the classifiers. The experimental results illustrate the Random Forest, with Grid Search CV optimisation and RUS as well as feature engineering performed the best. The methodological approach exhibited an increase in F1 score, True Positive Rate, Recall and Accuracy for the classifier. The final model outputted an F1 score of 69%, ROC-AUC of 88% and True Positive Rate (TPR) of 93%.78 0Item Restricted A Critical Analysis of Cyber Threats and Vulnerabilities in Satellite Ground Systems(University of the West of England, 2024) Almutairi, Faisal; Mills, AlanThe growing dependence on satellite ground systems for critical applications such as telecommunications, navigation, and weather forecasting has underscored the importance of cybersecurity in these systems. This paper critically analyses the current state of cybersecurity threats and vulnerabilities in satellite ground systems. Utilising a comprehensive literature review and critical analysis of existing scholarly works, technical papers, and industry reports, this study identifies key cyber threats, including unauthorised access, jamming, spoofing, Advanced Persistent Threats (APTs), man-in-the-middle attacks, eavesdropping, and hijacking. The analysis reveals vulnerabilities in encryption protocols and communication channels. The study evaluates existing security measures and highlights gaps in empirical validation and practical implementation. It emphasises the need for robust encryption methods, advanced cryptographic techniques, and adaptive security strategies. We also discuss the crucial step of enhancing the resilience of satellite ground systems by incorporating developing technologies like Artificial Intelligence (AI) and quantum cryptography. This paper concludes with practical recommendations, emphasising empirical validation of security measures and comprehensive risk management frameworks. The research aims to improve the security and reliability of satellite ground systems, ensuring their protection against evolving cyber threats and contributing to the overall enhancement of cybersecurity in this infrastructure29 0Item Restricted The Impact of Corporate Governance on Financial Performance in Saudi Listed Companies(University of Sussex, 2024-09) Madini, Numair; Madini, NumairThis dissertation investigates the impact of corporate governance on the financial performance of Saudi-listed companies, focusing on key governance elements such as board independence, executive compensation, audit committee effectiveness, transparency, and internal controls. With Saudi Arabia's Vision 2030 serving as a backdrop, this study aims to understand how recent governance reforms and practices contribute to the financial outcomes of companies in a rapidly evolving economic environment. The research adopts a quantitative approach, analyzing data from a representative sample of Saudi-listed firms across various sectors. The findings reveal that robust corporate governance practices are strongly correlated with improved financial performance. Specifically, the presence of independent directors on company boards is associated with higher returns on equity and assets, underscoring the importance of unbiased oversight in corporate governance. Similarly, executive compensation that aligns with company performance positively influences long-term financial success, although the design of such compensation packages must carefully balance short-term and long-term incentives. Effective audit committees, characterized by their independence and financial expertise, play a critical role in ensuring the integrity of financial reporting and internal controls. The study also highlights the importance of transparency in financial reporting, with companies that adhere to stringent disclosure practices attracting more investment and enjoying lower capital costs. Additionally, strong internal controls and proactive risk management practices are essential for 2 maintaining financial stability and resilience in an increasingly complex and volatile business environment. The dissertation concludes that as Saudi Arabia continues to pursue its Vision 2030 goals, the adoption of global best practices in corporate governance will be crucial in achieving sustainable growth, attracting foreign investment, and ensuring the long-term success of its corporate sector. The findings provide valuable insights for corporate leaders, policymakers, and researchers, contributing to the ongoing development of corporate governance practices in Saudi Arabia and other emerging markets.26 0Item Restricted Temporal Dynamics of Risk Analysis and Management(UNIVERSITY OF PORTSMOUTH, 2024-09) Almusad, Abdulaziz Mohamed; Derbyshire, EdmundThis research aims to find focusses on response, recovery, and lead times and how they affect risk management across industries. Exploring theoretical and practical risk management optimisation methods and how these temporal factors affect organisational resilience, sustainability, and decision-making is the main focus. These factors have substantial implications for enhancing risk management theories and procedures, according to the research. This questionnaire study examines time-sensitive factors' influence on risk mitigation methodologies using quantitative and qualitative methods. Well-managed lead, response, and recovery phases make businesses more robust and better at decision-making. The research also advises incorporating time series analysis into risk management frameworks and highlights industry disparities. Some essential proposals include creating time-related training programs, incorporating temporal dynamics into risk management frameworks, and developing industry-specific temporal risk mitigation strategies. Since this study uses self reported data and focusses on one sector, bigger and longer investigations are required to corroborate findings and evaluate different contexts. This work advances theory and practice by offering efficient risk management strategies for time-sensitive situations. Future studies should employ several methods and involve additional industries to improve temporal risk management systems.9 0Item Restricted Enhancing Risk Management through Resilience Strategies(University Of Portsmouth, 2024-09) alqdebi, Ahmed suliman; Jackson, JadeiteThe ever-changing world of technology-based SMEs requires strong organisational resilience and risk management. This research examines how adaptive leadership and business continuity planning, two tailored resilience strategies, might enhance risk management in this technology-based SMEs. Study aims include examining best practices, incorporating them, and quantifying risk reduction. The questionnaire-based study, which employed Google Statistics, found that SMEs know resilience methods but have gaps in their application. The findings emphasise the need of thorough risk assessments, verifiable resilience measurements, and stakeholder engagement. Research restrictions include limited sample size, specific geographic focus, and complex methodology may limit generalisability. The research proposes standardised risk assessment, resilience evaluation metrics, and stakeholder engagement in strategy design to address these issues. Develop resilience frameworks for several sectors, analyse how organisational culture affects resilience, and examine how new technology affects resilience.22 0