Saudi Cultural Missions Theses & Dissertations
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Item Restricted Evaluating the Effectiveness of Lean Manufacturing Practices in Enhancing Supply Chain Resilience with AI Applications in the Manufacturing Industry in Saudi Arabia(University of Gloucestershire, 2024-08) Alshubayki, Khalid Abdullah; Plummer, DavidThis study investigates the effectiveness of integrating lean manufacturing practices with artificial intelligence (AI) to enhance supply chain resilience (SCR) within Saudi Arabia's manufacturing sector. Prompted by the disruptions of the Covid-19 pandemic, the research addresses the critical need for resilient supply chains. Using a quantitative research approach with a survey design, data was collected from professionals across Saudi manufacturing companies. The study explores key lean practices, AI technologies, current adoption levels, and readiness for AI integration. Descriptive statistics, Pearson correlation, regression analysis, and independent sample t-tests were employed to analyse the data. Findings reveal a proactive interest in AI and lean practices, with 34.9% in the planning phase and 29.2% considering AI implementation. However, only 2.8% have fully integrated AI, highlighting execution gaps. A significant skills gap was identified, with 56.6% lacking specific training in AI and lean methodologies, and 44.4% perceiving insufficient workforce skills. Additionally, 62.2% of companies lack a clear AI strategy, and 48.2% perceive insufficient managerial support. Based on these insights, recommendations include developing comprehensive AI integration strategies, investing in workforce training, and promoting strong managerial support for AI initiatives. The study highlights the importance of strategic clarity, skill development, and leadership commitment in leveraging AI and lean practices to enhance SCR. By addressing these gaps, Saudi manufacturing companies can better anticipate and respond to supply chain disruptions, ensuring operational continuity and competitive advantage. The findings contribute valuable insights for both academia and industry, guiding future efforts to bolster supply chain resilience in the face of global uncertainties.7 0Item Restricted INVESTIGATING THE IMPACT OF LEAN SIX SIGMA PRINCIPLES ON ESTABLISHING AND MAINTAINING DATA GOVERNANCE SYSTEMS IN SMES: AN EXPLORATORY STUDY USING GROUNDED THEORY AND ISM APPROACH(2023) Alduraibi, Manal; Laux, Chad; Springer, John; Dietz, Eric; Laux, DawnData Governance and Data Privacy are critical aspects of organizational management that are widely utilized across all organizational scales. However, this research focused specifically on the significance of Data Governance and Data Privacy in Small and Medium Enterprises (SMEs). While the importance of maintaining these systems is paramount across all organizations, the challenges faced by SMEs in maintaining these systems are greater due to their limited resources. These challenges include potential errors such as data leaks, use of corrupted data, or insufficient data, as well as the difficulty in identifying clear roles and responsibilities regarding data handling. To address these challenges, this research investigated the impact of utilizing Lean Six Sigma (LSS) tools and practices to overcome the anticipated gaps and challenges in SMEs. The qualitative methodology utilized is a grounded theory design, chosen due to the limited understanding of the best LSS practices for achieving data governance and data privacy in SMEs and how LSS can improve the adoption of data governance concerning privacy in SMEs. Data were collected using semi-structured interview questions that were reviewed by an expert panel and pilot tested. The sampling method included purposive, snowballing, and theoretical sampling, resulting in 20 participants being selected for interviews. Open, axial, and selective coding were performed, resulting in the development of a grounded theory. The obtained data were imported into NVivo, a qualitative analysis software program, to compare responses, categorize them into themes and groups, and develop a conceptual framework for Data Governance and Data Privacy. An iterative data collection and analysis approach was conducted to ensure that all aspects were considered. The applied grounded theory resulted in retrieving the themes used to generate a theory from the participants’ descriptions of LSS, SMEs, data governance, and data privacy. Finally, ISM technique has been applied to identify the relationships between the concepts and factors resulted from the grounded theory. It helps arranging the levels the criteria, drawing the relationships in a flowchart, and providing valuable insights to the researcher.27 0