-Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review.
Information Systems Frontiers, 24(5), 1709-1734.
doi.org/10.1007/s10796-021-10186-w
-Ganesh, A. D., & Kalpana, P. (2022). Future of artificial intelligence and its influence on supply chain risk management–A systematic review. Computers & Industrial Engineering, 169, 108206.
-Ganin, A. A., Kitsak, M., Marchese, D., Keisler, J. M., Seager, T., & Linkov, I. (2017). Resilience and efficiency in transportation networks.
Science Advances, 3(12), e1701079.
doi: 10.1126/sciadv.1701079
-Hassanpour, M., Fatahi, A., & Khalili, N. (2024). Multimodal transportation: Approaches, formation process, advantages, disadvantages, and limitations of implementation. Supply Chain Management, 25(81), 117-132.
doi.org/10.1108/SCM-01-2023-001
-Hastig, G. M., & Sodhi, M. S. (2020). Blockchain for supply chain traceability: Business requirements and critical success factors.
Production and Operations Management, 29(4), 935-945.
doi: org/10.1111/poms.13147
-Hejazi, S. J., Taghizadeh, A., & Mostafavi, H. (2023). Investigation of the needs and infrastructure of transportation and distribution of imported goods to Iran. In National Conference of Applied Civil Engineering and New Achievements, Karaj.
-Hohma, E., Boch, A., Trauth, R., & Lütge, C. (2023). Investigating accountability for artificial intelligence through risk governance: A workshop-based exploratory study. Frontiers in Psychology, 14, 1073686.
-Humayun, M., Jhanjhi, N. Z., Hamid, B., & Ahmed, G. (2020). Emerging smart logistics and transportation using IoT and blockchain. IEEE Internet of Things Magazine, 3(2), 58-62.
doi: 10.1109/IOTM.0001.1900097
-Hwang, C. L., & Masud, A. S. M. (2012). Multiple objective decision making—methods and applications: a state-of-the-art survey (Vol. 164). Springer Science & Business Media. doi: 10.1007/978-3-642-45511-7
-Jahin, M. A., Naife, S. A., Saha, A. K., & Mridha, M. F. (2023). AI in Supply Chain Risk Assessment: A Systematic Literature Review and Bibliometric Analysis.
arXiv preprint arXiv:2401.10895.
doi.org/10.48550/arXiv.2401.10895
-Kaskaoutis, D. G., Rashki, A., Houssos, E. E., Mofidi, A., Goto, D., Bartzokas, A. & Legrand, M. (2015). Meteorological aspects associated with dust storms in the Sistan region, southeastern Iran. Climate Dynamics, 45, 407-424.
-Khadim, Z., Batool, I., Akbar, A., Poulova, P., & Akbar, M. (2021). Mapping the moderating role of logistics performance of logistics infrastructure on economic growth in developing countries. Economies, 9(4), 177.
-Malek Mahmoudi, N. (2018). Capabilities and limitations of land development in the Makran region based on Iran's macro strategy. Maritime Transport Industry, 5(2), 75-82.
doi.org/10.22111/mtj.2018.25557
-Mohamed, M. (2023). Toward smart logistics: hybrization of intelligence techniques of machine learning and multi-criteria decision-making in logistics 5.0. Multicriteria Algorithms with Applications, 1, 42-57.
-Odu, G. O. (2019). Weighting methods for multi-criteria decision making technique.
Journal of Applied Sciences and Environmental Management, 23(8), 1449-1457.
doi: 10.4314/jasem.v23i8.7
-Patella, S. M., Grazieschi, G., Gatta, V., Marcucci, E., & Carrese, S. (2020). The adoption of green vehicles in last mile logistics: A systematic review.
Sustainability, 13(1), 6.
doi.org/10.3390/su13010006
-Pan, S., Ballot, E., Huang, G. Q., & Montreuil, B. (2017). Physical Internet and interconnected logistics services: research and applications. International Journal of Production Research, 55(9), 2603-2609.
-Pournader, M., Ghaderi, H., Hassanzadegan, A., & Fahimnia, B. (2021). Artificial intelligence applications in supply chain management.
International Journal of Production Economics, 241, 108250.
doi.org/10.1016/j.ijpe.2021.108250
-SCHAEFER, S. (2018). Artificial intelligence in logistics. SSI Schafer IT Solutions GmbH Jacqueline Fauland.
-Sirina, N., & Zubkov, V. (2021). Transport services management on transport and logistic methods.
Transportation Research Procedia, 54, 263-273.
doi.org/10.1016/j.trpro.2021.02.072
-Soltani, Z. K. (2021). The applications of artificial intelligence in logistics and supply chain. Turkish
Journal of Computer and Mathematics Education (TURCOMAT), 12(13), 4488-4499.
doi.org/10.17762/turcomat.v12i13.9617
-Surden, H. (2019). Artificial intelligence and law: An overview. Georgia State University Law Review, 35(4).
doi.org/10.31219/osf.io/gwv42
-Villanueva-Eslava, A., Riega-Virú, Y., Nilupu-Moreno, K., & Salas-Riega, J. L. (2023, December). Artificial intelligence and logistics services: a systematic literature review.
In 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education & Research (ICALTER) IEEE. 1-4.
doi: 10.1109/ICALTER61411.2023.10372911
-Xu, Z., Li, Y., Chau, S. N., Dietz, T., Li, C., Wan, L., & Liu, J. (2020). Impacts of international trade on global sustainable development.
Nature Sustainability, 3(11), 964-971.
doi.org/10.1038/s41893-020-0572-z
-Yang, Y., Pan, S., & Ballot, E. (2017). Mitigating supply chain disruptions through interconnected logistics services in the Physical Internet. International Journal of Production Research, 55(14), 3970-3983.
-Zhang, Y. (2019, October). The application of artificial intelligence in logistics and express delivery. In Journal of Physics: Conference Series, Vol. 1325, No. 1. IOP Publishing. 012085-012086. doi: 10.1088/1742-6596/1325/1/01208
