Saudi Cultural Missions Theses & Dissertations
Permanent URI for this communityhttps://drepo.sdl.edu.sa/handle/20.500.14154/10
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Item Restricted AN EXPLORATORY STUDY OF EMPLOYEE PERCEPTIONS OF BIG DATA ANALYTICAL COMPETENCY AMONG LEADERS AND ITS IMPACTS ON DECISION- MAKING QUALITY(Saudi Digital Library, 2025) Alqahtani, Amal; Vaccaro, Christian AThe requirement for leaders to have strong abilities in data analysis has increased due to the growing integration of big data analytics in corporate decision-making. This study explores the leaders' and data scientists' perceptions of data analytical competency among leaders and its relationship to the quality of decision-making in enterprises with a particular emphasis on quickly changing technology environments around the globe. Leaders are concentrating more on using big data to improve the ability of their firms to make decisions (Dahiya, 2021). The true value of big data lies in its effective utilization, requiring leaders to orchestrate multiple resources, thereby fostering dynamic capabilities and enhancing the company's capacity for big data decision-making. I conducted a qualitative study that involved interviews with leaders and data scientists. To investigate the perspectives of data scientists and leaders, three study questions were created regarding their respective roles and responsibilities, as well as the importance of collaboration, data literacy, and adapting to new technology. The data were collected from interviews with 10 Saudi participants, including 4 leaders and 6 data scientists from different big data organizations. Preliminary findings suggest that both leaders and data scientists perceive the importance of having analytical competencies, and they agree that leaders should focus on hiring experts to provide them with data-driven insights to inform their decision making as the ability to lead their organizations within the context of a data analytic environment. Both leaders and data scientists perceive it is important for data scientists to analyze incoming data regularly and to gain knowledge of the mission and vision of the organization.10 0Item Restricted 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 JoThis 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.62 0Item Restricted Factors Affecting Supply Chain Resilience in COVID-19 Pandemic.(Saudi Digital Library, 2023-12-06) Alqahtani, Amal; Hossein, SharifiThis 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 event10 0