THE ROLE OF DIGITALIZATION AND AI USE IN MANAGING UNCERTAIN SUPPLY CHAIN MANAGEMENT IN WAR ZONES & CONFLICT AREAS
Main Article Content
Abstract
The study investigates the impact of uncertain supply chain management (SCM), artificial intelligence (AI), and digitalization on enhancing digital efficacy and improving operational performance within the Kingdom of Saudi Arabia (KSA) in war zones. Data was collected from a sample of 300 students and faculty members from the fields of International Relations and Computer Sciences. The results indicate significant relationships between these factors, with SCM strongly influencing AI adoption (β = 0.582, p < 0.001) and digital tools at the workplace (β = 0.743, p < 0.001). Additionally, digital tools were found to significantly enhance digital efficacy (β = 0.421, p < 0.001), which, in turn, improved operational performance (β = 0.659, p < 0.001). The study highlights the importance of integrating AI and digitalization strategies in SCM to boost efficiency and effectiveness in challenging environments. These findings contribute to understanding how digital transformation can be leveraged in conflict-affected areas to optimize humanitarian operations and resource management.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Aral, S., & Weill, P. (2007). IT assets, organizational capabilities, and firm performance: How resource allocations and organizational capabilities can shape IT-related outcomes. Journal of Management Information Systems, 24(1), 169-198.
Bag, A., Mishra, P., Nande, S., &Athreya, S. H. (2023). Blockchain-enabled supply chain management: Embracing the 4th industrial revolution and digital transformation for competitive advantage. In New Perspectives and Possibilities in Strategic Management in the 21st Century: Between Tradition and Modernity (pp. 45-68). IGI Global.
Chatterjee, S., Chaudhuri, R., Vrontis, D., &Giovando, G. (2023). Digital workplace and organization performance: Moderating role of digital leadership capability. Journal of Innovation & Knowledge, 8(1), 100334.
Chui, M., & Francisco, S. (2017). Artificial intelligence the next digital frontier. McKinsey and Company Global Institute, 47(3.6), 6-8.
Considine, J., Botti, M., & Thomas, S. (2005). Design, format, validity and reliability of multiple choice questions for use in nursing research and education. Collegian, 12(1), 19-24.
Cortright, D., Fairhurst, R., & Wall, K. (Eds.). (2017). Drones and the future of armed conflict: Ethical, legal, and strategic implications. University of Chicago Press.
Fornell, C., &Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40, 414-433.
Jauhar, S. K., Jani, S. M., Kamble, S. S., Pratap, S., Belhadi, A., & Gupta, S. (2024). How to use no-code artificial intelligence to predict and minimize the inventory distortions for resilient supply chains. International Journal of Production Research, 62(15), 5510-5534.
Kankaew, K. (Ed.). (2023). Strategic Human Resource Management in the Hospitality Industry: A Digitalized Economic Paradigm: A Digitalized Economic Paradigm. IGI Global.
Maran, T. K., Liegl, S., Davila, A., Moder, S., Kraus, S., &Mahto, R. V. (2022). Who fits into the digital workplace? Mapping digital self-efficacy and agility onto psychological traits. Technological Forecasting and Social Change, 175, 121352.
Reaidy, P. J., Gunasekaran, A., &Spalanzani, A. (2015). Bottom-up approach based on Internet of Things for order fulfillment in a collaborative warehousing environment. International Journal of Production Economics, 159, 29-40.
Schneider, C., Jimenez, R. M., &Kyriazi, S. (2023). Artificial Intelligence-Based Predictive Analytics in the Humanitarian Sector: The Case of Project Jetson. HARNESSING DATA INNOVATION FOR MIGRATION POLICY, 66.
Selimović, J., Pilav-Velić, A., &Krndžija, L. (2021). Digital workplace transformation in the financial service sector: Investigating the relationship between employees' expectations and intentions. Technology in Society, 66, 101640.
Sharma, R., Shishodia, A., Gunasekaran, A., Min, H., &Munim, Z. H. (2022). The role of artificial intelligence in supply chain management: mapping the territory. International Journal of Production Research, 60(24), 7527-7550.
Ulfert-Blank, A. S., & Schmidt, I. (2022). Assessing digital self-efficacy: Review and scale development. Computers & Education, 191, 104626.
Vuori, V., Helander, N., &Okkonen, J. (2019). Digitalization in knowledge work: the dream of enhanced performance. Cognition, Technology & Work, 21(2), 237-252.
Wu, H., Cao, J., Yang, Y., Tung, C. L., Jiang, S., Tang, B., ...& Deng, Y. (2019, July). Data management in supply chain using blockchain: Challenges and a case study. In 2019 28th international conference on computer communication and networks (ICCCN) (pp. 1-8). IEEE.
Younis, H., Sundarakani, B., &Alsharairi, M. (2022). Applications of artificial intelligence and machine learning within supply chains: systematic review and future research directions. Journal of Modelling in Management, 17(3), 916-940.
Zutshi, A., Grilo, A., &Nodehi, T. (2021). The value proposition of blockchain technologies and its impact on Digital Platforms. Computers & industrial engineering, 155, 107187.