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Koberg, E., & Longoni, A. (2019). A systematic review of sustainable supply chain management in global supply chains. Journal of cleaner production, 207, 1084-1098.Search in Google Scholar
Baldwin, R., & Freeman, R. (2022). Risks and global supply chains: What we know and what we need to know. Annual Review of Economics, 14(1), 153-180.Search in Google Scholar
LeBaron, G., & Lister, J. (2021). The hidden costs of global supply chain solutions. Review of International Political Economy, 29(3), 669-695.Search in Google Scholar
Ghadge, A., Wurtmann, H., & Seuring, S. (2020). Managing climate change risks in global supply chains: a review and research agenda. International Journal of Production Research, 58(1), 44-64.Search in Google Scholar
Bednarski, L., Roscoe, S., Blome, C., & Schleper, M. C. (2024). Geopolitical disruptions in global supply chains: a state-of-the-art literature review. Production Planning & Control, 1-27.Search in Google Scholar
Chang, Y., Iakovou, E., & Shi, W. (2020). Blockchain in global supply chains and cross border trade: a critical synthesis of the state-of-the-art, challenges and opportunities. International Journal of Production Research, 58(7), 2082-2099.Search in Google Scholar
Nnaji, U. O., Benjamin, L. B., Eyo-Udo, N. L., & Etukudoh, E. A. (2024). Strategies for enhancing global supply chain resilience to climate change. International Journal of Management & Entrepreneurship Research, 6(5), 1677-1686.Search in Google Scholar
Atadoga, A., Osasona, F., Amoo, O. O., Farayola, O. A., Ayinla, B. S., & Abrahams, T. O. (2024). The role of IT in enhancing supply chain resilience: a global review. International Journal of Management & Entrepreneurship Research, 6(2), 336-351.Search in Google Scholar
Boone, T., Ganeshan, R., Jain, A., & Sanders, N. R. (2019). Forecasting sales in the supply chain: Consumer analytics in the big data era. International journal of forecasting, 35(1), 170-180.Search in Google Scholar
Ruhmkorf, A. (2018). Global supply chain governance: The search for’what works’. Deakin Law Review, 23, 63-82.Search in Google Scholar
Cadavid, J. P. U., Lamouri, S., & Grabot, B. (2018, July). Trends in machine learning applied to demand & sales forecasting: A review. In International conference on information systems, logistics and supply chain.Search in Google Scholar
Perera, H. N., Hurley, J., Fahimnia, B., & Reisi, M. (2019). The human factor in supply chain forecasting: A systematic review. European Journal of Operational Research, 274(2), 574-600.Search in Google Scholar
Thürer, M., Tomašević, I., Stevenson, M., Blome, C., Melnyk, S., Chan, H. K., & Huang, G. Q. (2020). A systematic review of China’s belt and road initiative: Implications for global supply chain management. International Journal of Production Research, 58(8), 2436-2453.Search in Google Scholar
Seyedan, M., & Mafakheri, F. (2020). Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities. Journal of Big Data, 7(1), 53.Search in Google Scholar
Mediavilla, M. A., Dietrich, F., & Palm, D. (2022). Review and analysis of artificial intelligence methods for demand forecasting in supply chain management. Procedia CIRP, 107, 1126-1131.Search in Google Scholar
Gurtu, A., & Johny, J. (2021). Supply chain risk management: Literature review. Risks, 9(1), 16.Search in Google Scholar
Babai, M. Z., Boylan, J. E., & Rostami-Tabar, B. (2022). Demand forecasting in supply chains: a review of aggregation and hierarchical approaches. International Journal of Production Research, 60(1), 324-348.Search in Google Scholar
Eglite, L., & Birzniece, I. (2022). Retail sales forecasting using deep learning: Systematic literature review. Complex Systems Informatics and Modeling Quarterly, (30), 53-62.Search in Google Scholar
Marano, V., Wilhelm, M., Kostova, T., Doh, J., & Beugelsdijk, S. (2024). Multinational firms and sustainability in global supply chains: scope and boundaries of responsibility. Journal of International Business Studies, 1-16.Search in Google Scholar
Ingle, C., Bakliwal, D., Jain, J., Singh, P., Kale, P., & Chhajed, V. (2021, July). Demand forecasting: Literature review on various methodologies. In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.Search in Google Scholar
Browning, T., Kumar, M., Sanders, N., Sodhi, M. S., Thürer, M., & Tortorella, G. L. (2023). From supply chain risk to system-wide disruptions: research opportunities in forecasting, risk management and product design. International Journal of Operations & Production Management, 43(12), 1841-1858.Search in Google Scholar
Eyo-Udo, N. L., Odimarha, A. C., & Ejairu, E. (2024). Sustainable and ethical supply chain management: The role of HR in current practices and future directions. Magna Scientia Advanced Research and Reviews, 10(2), 181-196.Search in Google Scholar
Gupta, A., & Agarwal, P. (2024, May). Enhancing Sales Forecasting Accuracy through Integrated Enterprise Resource Planning and Customer Relationship Management using Artificial Intelligence. In 2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT) (pp. 1-6). IEEE.Search in Google Scholar
Quadrat A.. (2022). An Integro-differential-delay Operator Approach to Transformations of Linear Differential Time-delay Systems. IFAC PapersOnLine(34),13-18.Search in Google Scholar
Saurabh Dhankhar,Nidhi Dhankhar,Vikram Sandhu & Sunita Mehla. (2024). Forecasting Electric Vehicle Sales with ARIMA and Exponential Smoothing Method: The Case of India. Transportation in Developing Economies(2),32-32.Search in Google Scholar
Yuqi Zhang,Jie Luo,Siyao Feng,Xinying Ke,Heran Jia & Qiaohui Zhu. (2024). Prediction of the fluoride contents of different crop species via the random forest algorithm. Environmental geochemistry and health(10),418.Search in Google Scholar
