Saudi Cultural Missions Theses & Dissertations

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    An Evaluation of the Validity of English Placement Tests at Imam Abdurrahman Bin Faisal University: A Critical Analysis
    (Salem State University, 2024-06) Alqahtani, Amal; Perez , Heidi; Minett, Amy Jo
    This study examines the validity and reliability of English placement exams at Imam Abdulrahman Bin Faisal University and their ability to forecast academic success in English foundation courses. Using a quantitative correlational approach, the research analyzed data from 300 students to assess the relationship between placement test scores and subsequent course grades. Findings indicate that test scores moderately predict course performance, explaining about 38.4% and 36.2% of the variance in grades for two core courses. However, significant variability in test effectiveness across different academic disciplines suggests that the exams may not consistently capture diverse academic needs and language proficiencies. The study recommends targeted refinements in the exam structure and scoring to enhance fairness and accuracy in student placements, addressing specific disparities found across disciplines. These adjustments are crucial for better aligning placement procedures with the educational demands and language competencies at the university.
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    Factors Affecting Supply Chain Resilience in COVID-19 Pandemic.
    (Saudi Digital Library, 2023-12-06) Alqahtani, Amal; Hossein, Sharifi
    This study aims to explore the factors affecting SCR during the COVID-19 pandemic. The study adopted a qualitative research design and applied narrative analysis to evaluate secondary data. The study aimed to answer four key research questions using this methodology, i.e., the most sensitive area of the supply chain affected during the COVID-19 pandemic, suitable supply chain resilience strategies to manage similar events, such as pandemics in future, suitable supply chain risk management strategies to manage similar events, such as pandemics, in future and assessing how SCOR model be applied to implement agile supply chain management to enhance supply chain resilience and supply chain risk management in pandemics or similar crises. The study findings reveal that flexibility, adaptability, and awareness are significant factors affecting supply chain resilience, and the most suitable supply chain resilience-improving strategy is effective supply chain risk management. Supply chain risk management can be enhanced by integrating industry 4.0 waste technology, such as AI and blockchain, and these technologies are a must to map and model to establish an agile SC with a higher resilience level during disruptions and catastrophic event
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