Acimovic, S., Mijušković, V. M., & Golubović, M. (2021). Military logistics vs. business logistics. Economic Analysis, 54(1), 118–138. https://doi.org/10.28934/ea.21.54.1.pp118-138
Ahmad, R. W., Hasan, H., Yaqoob, I., Salah, K., Jayaraman, R., & Omar, M. (2021). Blockchain for aerospace and defense: Opportunities and open research challenges. Computers & Industrial Engineering, 151, Article 106982. https://doi.org/10.1016/j.cie.2020.106982
Alqudah, A., Ryad Momani, H., Odeh Alshawabkeh, R., Al-Abbadi, L., Hani Al-Kassem, A., Ananzeh, H., & Alqudah, H. (2025). The impact of cyber-physical systems on logistics sustainability: The role of smart energy monitoring as a mediator in improving energy efficiency. EDPACS, 1–9.
Alshdadi, A. A., Almazroi, A. A., & Ayub, N. (2025). IoT-driven load forecasting with machine learning for logistics planning. Internet of Things, 29, Article 101441.
Arsenio, E., Aparicio, J. T., Henriques, R., & Dias, G. (2026). Assessing the co-evolution of intermodal freight transport research and patenting technology trends for advancing green and intelligent logistics. Research in Transportation Business & Management, 64, Article 101553.
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
Bennett, G., Crowder, W., & Baxter, C. (2022). Challenges and opportunities of IoT for defense and national security logistics. In IoT for Defense and National Security (pp. 83–96). Wiley. https://doi.org/10.1002/9781119892199.ch6
Canhoto, A. I., & Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. Business Horizons, 63(2), 183–193. https://doi.org/10.1016/j.bushor.2019.11.003
Colorado, H. A., Cardenas, C. A., Gutierrez-Velazquez, E. I., Escobedo, J. P., & Monteiro, S. N. (2023). Additive manufacturing in armor and military applications: Research, materials, processing technologies, perspectives, and challenges. Journal of Materials Research and Technology, 27, 3900–3913. https://doi.org/10.1016/j.jmrt.2023.11.030
Du, J., Wang, J., Liang, J., & Liang, R. (2025). Research on the impact of smart logistics on the manufacturing industry chain resilience. Scientific Reports, 15(1), Article 9052.
Dubber, T., & Lazar, S. (2025). Military AI Cyber Agents (MAICAs) constitute a global threat to critical infrastructure. arXiv. https://doi.org/10.48550/arXiv.2506.12094
Emamjomeh, S. E. (2025). Optimizing energy resource management in cities using the Internet of Things: Transition toward integrated and sustainable smart grids [In Persian]. Paper presented at the 29th National Conference on Civil Engineering, Architecture, and Urbanism, Shirvan, Iran. https://civilica.com/doc/2579127 [in Persian]
Huang, A. Q., Crow, M. L., Heydt, G. T., Zheng, J. P., & Dale, S. J. (2021). The future renewable electric energy delivery and management (FREEDM) system: The Energy Internet. Proceedings of the IEEE, 99(1), 133–148.
Ivanov, D., & Dolgui, A. (2020). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775–788. https://doi.org/10.1080/09537287.2020.1768450
Jaghouri, Y., Khoramdel, A., Fallahi Eshratabadi, R., & Azimi, M. (2025). Investigating energy management systems in sustainable smart cities based on the internet [In Persian]. Paper presented at the 28th National Conference on Civil Engineering, Architecture, and Urban Development, Babol, Iran. https://civilica.com/doc/2433398[in Persian]
Kouhizadeh, M., Saberi, S., & Sarkis, J. (2021). Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers. International Journal of Production Economics, 231, Article 107831. https://doi.org/10.1016/j.ijpe.2020.107831
Kumar, S., Patel, A., & Singh, R. (2025). Advanced supply chain analytics: Leveraging digital twins, IoT, and blockchain for resilient, data-driven business operations. World Journal of Advanced Research and Reviews, 23(2), 572–586.
Lu, X., Wang, J., Guerrero, J. M., & Zhao, D. (2015). The future development of microgrids and the Energy Internet. Proceedings of the CSEE, 35(14), 3449–3460.
Mahmoudi Koohi, M., Bagherian Dehkordi, A., & Alaee, M. H. (2025). Investigating the application of the Internet of Things in transportation [In Persian]. Paper presented at the 24th National Conference on Applied Research in Electrical, Computer, and Biomedical Engineering, Shirvan, Iran. https://civilica.com/doc/2318335[in Persian]
Mahmoudi, F., Ghanbarzadeh Nokashti, M., & Khorsandi, M. (2025). Design and simulation of intelligent energy management systems in modern cities with an IoT and artificial intelligence approach [In Persian]. Paper presented at the 1st International Conference on Management, Computer Science, and Artificial Intelligence, Tehran, Iran. https://civilica.com/doc/2599747[in Persian]
Malik, M., Kothari, A., & Pandhare, R. (2025). Smart military logistics based on Internet of Things and energy harvesting. Advances in Electrical and Electronic Engineering, 23(2), 45–58. https://doi.org/10.15598/aeee.v23i2.240907
Michalski, K., & Nowakowski, M. (2020). The use of unmanned vehicles for military logistic purposes. Ekonomika i Organizacja Logistyki, 5(4), 43–57. https://doi.org/10.22630/EIOL.2020.5.4.28
Minculete, G. (2025). Military logistics drones: The innovative solution for transportation challenges on the battlefield. Land Forces Academy Review, 30(2), 342–354. https://doi.org/10.2478/raft-2025-0033
Mobserfar, F., & Khatibi Bardsiri, A. (2025). Using the Internet of Things and smart systems for optimizing energy consumption and environmental management in industrial and commercial buildings [In Persian]. Paper presented at the 1st National Conference on Smartification in Industry, Kerman, Iran. https://civilica.com/doc/2556394[in Persian]
Nezamoleslami, A. H. (2025). Smartening the power grid (Smart Grid) and the role of the Internet of Things (IoT) [In Persian]. Paper presented at the 24th National Conference on Applied Research in Electrical, Computer, and Biomedical Engineering, Shirvan, Iran. https://civilica.com/doc/2387956[in Persian]
Popkova, E. G., Shadybekov, K. B., Orozbekov, A. A., & Studenikin, N. V. (2026). Green transition of digital economy infrastructure to support decarbonization through smart transport systems. In Smart Transport Systems and the Digital Economy Infrastructure (pp. 347–355). Springer Nature Switzerland.
Puzio, E., Drożdż, W., & Kolon, M. (2025). The role of intelligent transport systems and smart technologies in urban traffic management in Polish smart cities. Energies, 18(10), Article 2580.
Queiroz, M. M., Fosso Wamba, S., Machado, M. C., & Telles, R. (2020). Smart production systems drivers for business process management improvement: An integrative framework. Business Process Management Journal, 26(5), 1075–1092.
Rashid, A. B., Kausik, A. K., Al Hassan Sunny, A., & Bappy, M. H. (2023). Artificial intelligence in the military: An overview of the capabilities, applications, and challenges. International Journal of Intelligent Systems, 2023(1), Article 8676366. https://doi.org/10.1155/2023/8676366
Rasouli, A. R., & Shirmohammadi, M. M. (2025). Optimizing energy consumption in industry by employing smart wireless sensor networks: A systematic review [In Persian]. Paper presented at the 1st National Conference on Innovative and Sustainable Solutions for Smart Energy Management in Industry, Mining, and Agriculture, Jiroft, Iran. https://civilica.com/doc/2590674[in Persian]
Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640
Teixeira, A. R., Ferreira, J. V., & Ramos, A. L. (2025). Intelligent supply chain management: A systematic literature review on artificial intelligence contributions. Information, 16(5), Article 399. https://doi.org/10.3390/info16050399
Trif, R. (2024). The impact of emerging technologies on supply chain management in the military organization. Review of the Air Force Academy, 21(2), 189–206. https://doi.org/10.19062/1842-9238.2023.21.2.12
Walch, M., Schirrer, A., & Neubauer, M. (2025). Impact assessment of cooperative intelligent transport systems (C-ITS): A structured literature review. European Transport Research Review, 17(1), Article 11.
Wang, K., & Du, N. (2025). Real-time monitoring and energy consumption management strategy of cold chain logistics based on the Internet of Things. Energy Informatics, 8(1), Article 34.
Ye, A., Cai, J., Yang, Z., Deng, Y., & Li, X. (2025). The impact of intelligent logistics on logistics performance improvement. Sustainability, 17(2), Article 659.
Zhang, X., Shahidehpour, M., Alabdulwahab, A., & Abusorrah, A. (2017). Optimal expansion planning of Energy Hub with multiple energy infrastructures. IEEE Transactions on Smart Grid, 6(5), 2302–2311.
