Saudi Cultural Missions Theses & Dissertations
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Item Restricted A Mixed-Method Approach to Develop a Model to Manage the National Strategic Reserve for Critical Intermediate and Final Products in Saudi Arabia(Saudi Digital Library, 2023-12-11) Fadil, Aiman; Geraghty, John; Davis, PaulIn recent years, the idea of “strategic reserve” has become a prominent public policy concern. COVID-19, Brexit, war, and some other similar cases will leave/have left us with a lesson that has impacted the supply chain in almost all product types. Countries have now recognized that some goods cannot be sustained in a situation of uncertainty. This research covers the gap in developing the purchasing portfolio model from an organizational level to a national/country level to manage critical intermediate and final products. Through investigating the relationship between two factors: the casual factor supply risk (independent factor); and the impacted (dependent factors) political, economic, sociocultural, and technological (PEST) factors, this study has a significant contribution to the theoretical, empirical, and practical knowledge in terms of classifying critical intermediate and final products using the principle of Resource Dependency Theory and Portfolio Theory. A mixed-method research approach (exploratory sequential design) was determined to be the most suitable approach in order to fulfil the academic purposes of this exploratory research. The semi-structured interview was conducted with 23 experts in Saudi Arabia that have been selected for the purpose of this study. The qualitative study identified 30 key measurement variables for both factors, in which 19 variables were confirmed using the factor analysis technique. The second phase of this research is quantitative research, where a questionnaire was developed based on the qualitative research results. It was then shared with 152 experts in four critical intermediate and final products in Saudi Arabia to test the model quantitatively resulted a positive significant relationship (.297) between the model’s dimensions. A Multidimensional Scale (MDS) technique was used to classify and determine the criticality level of tested products, which resulted in rice as a leveraged product, gasoline as a non-critical product, semiconductors as a strategic product, and insulin as a bottleneck product on a “national level” which was validated by Saudi’s experts as the final step in this research. However, it’s important to note that the study is limited to one country, Saudi Arabia, and has a relatively small sample size; therefore, a number of future studies have been recommended including the context and study sample size.35 0Item Restricted A Systematic Review of the Role of Artificial Intelligence Technology in Sustainable Supply Chain(Saudi Digital Library, 2023-12-14) Abuhaimed, Noura; Touboulic, AnneIn recent years, the sustainable supply chain (SSC) has gained considerable global attention due to its incorporation of sustainability dimensions into its processes. Recent advancements in technologies have presented solutions to various issues associated with supply chain networks (SC). While the role of various technologies like blockchain, IoT, and Industry 4.0 in sustainable supply chains (SSCs) is well- established in the literature, there has been a lack of research on the role of Artificial Intelligence (AI) technology and its sub-fields in establishing SSCs. To address this gap, this paper pursues the following objectives: (1) To conduct a systematic review of the role of Artificial Intelligence technology in sustainable supply chains. For this, a total of 55 articles were searched using a set of keywords in the Scopus database in all research fields published in 45 peer-reviewed academic journals from 2010 to 2022. These papers were filtered using the title abstract keywords principle. (2) To document the association of AI technology with the social, and environmental aspects of the supply chain. (3) To highlight the AI deployments that could contribute to the enhancement of SSCs. (4) To draw attention to the gap in the literature and identify promising areas for future study. (5) To create a conceptual framework for the role of AI technology in SSC. This research is valuable for academic scholars and industry practitioners seeking insights into the role of AI in SSCs, as it is the first paper to comprehensively present all AI types in SSC. The study demonstrates that AI technology has the capacity to enhance supply chain sustainability, and it foresees a growing popularity of AI in supply chain management. By laying a strong foundation for understanding the role of AI technology in advancing sustainability, the results offer recommendations for future research directions to address the identified gaps in the literature. This study presents a research framework that integrates AI- based techniques with conventional supply chain practices to address supply chain challenges effectively. The framework outlines the incorporation of AI-enabled operations alongside operations that do not rely on AI to achieve sustainability within the supply chain. The developed framework could help researchers and professionals who want to create SSC models using AI methods38 0