Saudi Cultural Missions Theses & Dissertations
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Item Restricted An Alternative Land Transport Strategy for Achieving Saudi Vision 2030's Direct and Indirect Goals(Swansea University, 2024-09-25) Alarifi, Abdulrahman; Samaras, VasileiosThis dissertation presents a comprehensive analysis and alternative strategy for developing Saudi Arabia’s land transport sector, aligning with the broader goals of Vision 2030. The research aims to address key challenges in the sector, explore global best practices, and propose strategies to enhance Saudi Arabia’s competitiveness as a global logistics hub. The study begins by contextualising the historical and strategic importance of Saudi Arabia's land transport infrastructure, emphasising its role in economic diversification and global connectivity. Informed by a literature review, the research identifies critical programmes under Vision 2030, such as the National Industrial Development and Logistics Programme (NIDLP), which focuses on modernising infrastructure and integrating advanced technologies to foster sustainable growth. The methodological approach leverages several analytical tools—Porter's Five Forces, PESTEL analysis, SWOT, and the TOWS matrix—to assess both external and internal factors affecting the land transport sector. This multi-faceted analysis leads to the identification of 24 strategic objectives, which are prioritised using a Decision Matrix to align with Vision 2030's direct and indirect goals. These objectives are categorised into themes such as technological innovation and modernisation, sustainability and environmental challenges, and public-private partnerships. The discussion highlights key findings, such as the importance of integrating advanced technologies, fostering public-private partnerships, and improving multimodal transport solutions. The adoption of digital platforms, the use of innovative safety measures, and the implementation of sustainable practices are highlighted as critical factors in ensuring the sector's long-term growth and resilience. Furthermore, the dissertation identifies challenges such as regulatory barriers, high costs, and the need for continuous technological upgrades. In conclusion, the research underscores the strategic importance of the land transport sector in achieving Saudi Arabia’s Vision 2030. The recommended strategies, including increased investments in infrastructure, enhanced governance frameworks, and the adoption of global best practices, are essential for transforming Saudi Arabia into a global logistics hub. The findings and recommendations provide a roadmap for policymakers and stakeholders to implement a well-aligned, future-ready transport system, driving economic diversification and sustainability.14 0Item Restricted Impact of Strategic Knowledge Management Practices on ERP Systems in Saudi Arabia Business Organizations(Hunan University, 2024-06-15) Baslom, Mohammed Majdy M; Shu, TongMany organizations are currently implementing enterprise resource planning (ERP) to address their operational challenges. Despite its appeal, ERP implementation is fraught with obstacles and complications, particularly in developing nations. Recent studies indicate that the implementation of EM-ERP has significantly enhanced production, services, revenues, and employee well-being. Both developed and developing nations have witnessed the emergence of novel management levels and innovative concepts. The "Saudi Vision 2030" initiative is a significant national undertaking with substantial economic implications for Saudi Arabia. Knowledge management (KM) is assuming new, crucial responsibilities in advancing the industrial business environment, especially in the face of globalization and intense corporate competition. Organizations are increasingly focusing on the development and application of knowledge as a strategic asset. In 2017, the industrial sector contributed approximately 45% of Saudi Arabia's gross domestic product (GDP), a figure expected to rise as KM-ERP programs are integrated into Saudi business organizations, particularly in the manufacturing sector. This Dissertation investigates the critical factors influencing the adoption of ERP systems for effective KM in the Saudi Arabian manufacturing sector. The study aims to determine how KM can be utilized as a strategic resource to optimize ERP systems, consequently enhancing organizational competitiveness. Additionally, it assesses the role of support teams, providing a novel perspective on how human resources and team interactions can substantially influence ERP and KM processes. The integration of ERP systems and KM is essential for improving the performance, efficiency, and competitiveness of industrial businesses in Saudi Arabia. ERP systems automate and integrate business operations, including human resources, accounting, inventory, production, and sales. KM connects the generation, dissemination, and implementation of knowledge within an organization to achieve its goals. Thus, it is crucial for manufacturing companies to develop and implement contemporary strategies. Given the global impact of AI on research and implementation, expanding Saudi Arabia's research program is vital. By monitoring and analyzing data from machinery and shop floor processes, manufacturers can detect patterns to predict or prevent malfunctions. ERP systems are critical digital infrastructures that link operations throughout manufacturing enterprises. With the rapid development of AI capabilities, ERP platforms are poised for transformation. The integration of intelligent features can provide unprecedented connectivity, visibility, efficiency, and insight, revolutionizing the manufacturing sector in Saudi Arabia and enhancing the nation's economic status. This investigation achieves several essential contributions. First, it identifies critical factors influencing the success or failure of an ERP-KM environment within Saudi Arabian manufacturing organizations. The study focuses on organizational learning readiness, change management, ERP adoption scenarios, and KM methods used by Saudi enterprises. Second, it integrates information management and decision-making by examining knowledge alignment, collaboration, and communication. The study uses quantitative methods, including logistic regression and partial least squares SEM, followed by CFA and structural model assessment using Python. Third, it evaluates the impact of ERP and KM systems on support teams within business organizations, quantifying this impact with statistical metrics such as goodness of fit, R-squared, Chi-square, RMSEA, CFI, and TLI. The study identifies adoption barriers and explores how social, political, economic, and cultural factors influence KM and ERP implementation. Lastly, the research implements the PLS-SEM model and demonstrates that strategic business information distribution significantly impacts AI awareness in KM. It highlights the necessity of instruction and training in novel technologies and examines the role of learning environments and AI awareness in organizational structures. By exploring interdepartmental collaboration and information exchange, it provides a comprehensive perspective on organizational dynamics impacting ERP and KM systems. Incorporating strategic KM practices into the ERP systems of Saudi Arabian manufacturing companies will optimize ERP capabilities and reveal both financial and non-financial benefits. This Dissertation contributes to organizational learning readiness, change management, and technological adoption, providing insights into the optimization of ERP and KM systems in Saudi Arabia.24 0