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Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9667

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    Risk Management and Resilience in Civil Engineering Megaprojects in Saudi Arabia: A Case Study Of Sindalah Island Resort
    (Saudi Digital Library, 2025-04) Alali, Hatim; Patel, Imran
    This research study investigated the relationship between risk management and resilience in the success of civil engineering megaprojects in Saudi Arabia. Using the Sindalah Island Resort as a case study, the study employed the qualitative research approach, open-ended questionnaire to collect data through a Key Informant Interview, and the thematic analysis method, and findings indicate that leadership styles, technological tools, real-time monitoring are crucial to managing risk and recovering from delays and disruptions in megaprojects.
    23 0
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    RISK MANAGEMENT IN THE HOSPITALITY SECTOR DURING TIMES OF CRISIS.
    (Saudi Digital Library, 2025-07-17) Alanazi, Abdulrahman; Samaradheera, Ama
    This research explores how the Ritz-Carlton Hotel in Saudi Arabia managed risks during the COVID-19 pandemic. The study investigates the effectiveness of health and safety protocols, identifies operational challenges, and evaluates risk management strategies implemented during the crisis. Using a qualitative methodology based on interviews with hotel managers, the study highlights the role of emergency response teams, digital innovations, and employee welfare in maintaining operational resilience. Key findings emphasize the importance of crisis communication, proactive scenario planning, and mental health support in the hospitality sector. Recommendations are made to enhance future preparedness and sustainability in hotel operations during crises.
    16 0
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    Credit Risk Models Banks During the COVID-19 Pandemic
    (University of Sussex, 2024) Alakassi, Sattam; Kyrychko, Yuliya
    The COVID-19 pandemic has posed unprecedented challenges to the global financial system, particularly impacting credit risk management in banks. This dissertation explores the evolution of credit risk models and assessment techniques in banks during the COVID-19 pandemic. The study is motivated by the significant role credit risks play in the financial stability of banks and the broader economy, as well as the regulatory changes introduced to mitigate these risks. The research adopts a case study method, incorporating both qualitative and quantitative approaches. Qualitative data is gathered through semi-structured interviews with bank professionals and and analysis of regulatory reports and financial statements. Quantitative analysis is performed using statistical tools such as regression and time-series analysis to evaluate the effectiveness of credit risk models before and after the pandemic.
    22 0
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    Factors Influencing Start-ups Resilience in Saudi Arabia
    (University of Essex, 2024-02-29) Alazeb, Bandar; Bhattarai, Charan R
    This dissertation provides an empirical analysis of the factors influencing the resilience of startups within the rapidly transforming economic landscape of Saudi Arabia. As the country positions itself towards the goals of Vision 2030, with a significant focus on fostering a thriving entrepreneurial ecosystem, this study becomes particularly relevant. Through a methodical quantitative approach, data from 61 startup leaders—comprising founders, co-founders, and executives—were analyzed using regression techniques to understand the influence of four key variables: entrepreneurial characteristics, use of technology, government support, and risk management strategies, on business resilience. The study found that entrepreneurial characteristics are a substantial contributor to resilience, signifying a need for startups to cultivate strong leadership and innovation capabilities. While the impact of technology use, government interventions, and risk management did not show statistical significance individually, their collective influence within the regression model suggests an integrated effect on startup resilience. These insights offer strategic implications for startup stakeholders and add a nuanced understanding of startup success factors in the context of an evolving Saudi economy. The dissertation concludes with strategic recommendations for enhancing startup resilience, acknowledging limitations, and proposing avenues for future research.
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    Estimating Oil Price ’Value at Risk’ Modelling
    (Saudi Digital Library, 2023-12-04) Alshehri, Rayan; Hardy, Thomas
    This paper proposes the utilization of Value at Risk (VaR) for the quantification of oil price risk. VaR offers an estimate of the maximum potential change in oil prices associated with a certain likelihood level, and serves as a tool for shaping risk management strategies. We examine three methods for calculating VaR: the conventional historical simulation approach, the historical simulation with ARMA forecasts (HSAF) method, introduced in this paper, and the variance-covariance method employing autoregressive conditional heteroskedasticity models for forecasts. In addition, we have done literature reviews on this topic, and oil and stock prices asymmetric volatility co-currently with the time of the estimation period. The findings of the analysis indicate that the HSAF methodology offers a versatile approach to VaR quantification. It adeptly aligns with the continuous movements of oil prices and facilitates efficient risk assessment.
    38 0

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