• بختیاری، ایرج. (1401). تحلیلی برکاربرد اینترنت اشیاء در شبکه پدافند هوایی از منظر آسیب‌ها و تهدیدها. علوم و فنون نظامی، 18(61)، 82-55.
• بهرامی، ساره؛ خدیور، آمنه. (1399). ارائه مدل انتخاب استراتژی مدیریت دانش در زنجیره تأمین.فصلنامه مدیریت دانش سازمانی.2(3). 136-97.
• راه­چمنی، سیدمحمد؛ حیدریه، سید عبدالله؛ زرگر، سیدمحمد. (1401). طراحی مدلی برای زنجیرة تأمین هوشمند خدمات با روش داده‌بنیاد (مورد مطالعه: صندوق کارآفرینی امید).چشم‌انداز مدیریت صنعتی. 12(2)، 111-89.
• زارعی، قاسم؛ قاسمی همدانی، ایمان. (1401). ارائه مدلی برای هوشمندسازی کسب‌وکارها (موردمطالعه: صنعت بیمه). فصلنامه مدیریت دانش سازمانی، 5(2)، 76-49.
• سلیمی زاویه، سید قاسم؛ شمس، سعیده. (1402). واکاوی مدیریت زنجیرة تأمین دیجیتال (روند توسعه آینده).صنعت لاستیک ایران. 25(102)،62-49. 
• ضرغامی، حمیدرضا، غلامی، محمود، صادقی، امیر،و محققی، جعفر. (1401). الزامات امنیتی کاربست لجستیک هوشمند در سازمان‌های دفاعی. علوم و فنون نظامی، 18(62)، 101-75.
• عابدی، صادق؛اصلانی لیائی، ولی اله؛ احتشام راثی، رضا,؛ ایرج پور، علی رضا. (1399). طراحی سیستم خبره هوشمند برای شناسایی توان مندی‌های چندگانه زنجیرة تأمین پایدار.نشریه علمی پژوهشی مهندسی و مدیریت کیفیت. 10(2)، 133-121.
• فرهنگ، سجاد؛ آروند، حمید. (1402). تأثیر کاربرد فناوری‌های شبیه‌سازی دیجیتال بر یادگیری شناختی اجتماعی رفتار اخلاقی در سازمان‌های نظامی. آینده‌پژوهی دفاعی. 8(28):160-135.
• گودرزی، غلامرضا؛ اجلالی، محمدمهدی. (1400). تحلیل روندهای آینده فناوری‌های دفاعی در افق ده ساله. آینده‌پژوهی دفاعی. 6(23): 57-37.
• مرشدی، احمد؛ نظافتی،نوید. (1400). طراحی و تبیین چالش‌ها و راهکارهای اجرای مدیریت دانش در زنجیره تأمین (نمونه پژوهش: صنایع فولادی). فصلنامه مدیریت دانش سازمانی، 4(3).223-175.
• Abedi, S., Aslani Liaie, V., Ehtesham Rasi, R., & Irajpour, A. (2020). Designing an intelligent expert system for identification of sustainable supply chain multi capabilities . Journal of Quality Engineering and Management, 10(2), 121-133.(In Persian).
• Abeyratne, S. A., & Monfared, R. P. (2016). Blockchain ready manufacturing supply chain using distributed ledger. International Journal of Renewable Energy Technology, 5(9), 1–10.
• Agyabeng-Mensah, Y., Afum, E., Agnikpe, C., Cai, J., Ahenkorah, E. and Dacosta, E. (2021), "Exploring the mediating influences of total quality management and just in time between green supply chain practices and performance", Journal of Manufacturing Technology Management, Vol. 32 No. 1, pp. 156-175.
• Akbari, M., Ha, N. and Kok, S. (2022), "A systematic review of AR/VR in operations and supply chain management: maturity, current trends and future directions", Journal of Global Operations and Strategic Sourcing, Vol. 15 No. 4, pp. 534-565.
• Al-Ayed, S & Al-Tit, A. (2023). The effect of supply chain risk management on supply chain resilience: The intervening part of Internet-of-Things.Uncertain Supply Chain Management, 11(1), 179-186.
• Alpala, L. O., Quiroga-Parra, D. J., Torres, J. C., and PeluffoOrdó nez, D. H. (2022). Smart Factory Using Virtual Reality and Online Multi-User: Towards a Metaverse for Experimental Frameworks. Applied Sciences, pages 1–12.
• Al-Rwaidan, R., Aldossary, N., Eldahamsheh, M., Al-Azzam, M., Al-Quran, A., & Al-Hawary, S. (2023). The impact of cloudbased solutions on digital transformation of HR practices. International Journal of Data and Network Science, 7(1), 83-90.
• Al-Shorman, H., Eldahamsheh, M., Attiany, M., Al-Azzam, M & Al-Quran, A. (2023). Potential effects of smart innovative solutions for supply chain performance.Uncertain Supply Chain Management, 11(1), 103-110.
• AlTaweel, I. R., & Al-Hawary, S. I. (2021). The Mediating Role of Innovation Capability on the Relationship between Strategic Agility and Organizational Performance. Sustainability, 13(14), 7564.
• Al-Tit, A. A. (2016). The Impact of Lean Supply Chain on Productivity of Saudi Manufacturing Firms in AL-QASSIM Region. Polish Journal of Management Studies, 14(1), 18-27.
• Anirudh, A. & Pandey, V.K. & Sodhi, J.S. & Bagga, Teena. (2017). Next generation indian campuses going SMART. International Journal of Applied Business and Economic Research. 15. 385-398.
• M.,(2020). Digital technology enablers and their implications for supply chain management, Supply Chain Forum, Taylor and Francis Ltd., available at.
• Attiany, M., Al-kharabsheh, S., Abed-Qader, M., Al-Hawary, S., Mohammad, A., & Rahamneh, A. (2023). Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling. Uncertain Supply Chain Management, 11(1), 299-306.
• Bahrami, S., & Khadivar, A. (2020). A Model for Selecting the Knowledge Management Strategy in a Supply Chain. Scientific Journal of Strategic Management of Organizational Knowledge, 3(2), 97-136.(In Persian).
• Bakhtiari, I. (2022). An analysis of the use of the Internet of Things in an air defense integrated network in terms of vulnerabilities and threats. Military Science and Tactics, 18(61), 55-82. .(In Persian).
• Ball, M. (2022). The metaverse and how it will revolutionize everything. NY: Liveright Publiching Co.
• Ben-Daya, M., Hassini, E. and Bahroun, Z. (2019), “Internet of things and supply chain management: a literature review”, International Journal of Production Research, Vol. 57 Nos 15-16, pp. 4719-4742.
• Ben-Daya, M., Hassini, E., & Bahroun, Z. (2022). A Conceptual Framework for Understanding the Impact of Internet of Things on Supply Chain Management. Operations and Supply Chain Management: An International Journal, 15(2), 251- 268.
• Benzidia, S., Makaoui, N., & Bentahar, O. (2021). The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance. Technological Forecasting and Social Change, 165, 120557.
• Bhatia, C. (2021). Augmented Reality Based Supply Chain Management System. In Sharma, N., Chakrabarti, A., Balas, V.E., Bruckstein, A.M. (Eds.). Data Management, Analytics and Innovation. Lecture Notes on Data Engineering and Communications Technologies (pp. 325–336). Springer, Singapore.
• Bigliardi, B., Filippelli, S., Petroni, A. and Tagliente, L. (2022), “The digitalization of supply chain: a review”, Procedia Computer Science, Vol. 200 No. 2022, pp. 1806-1815.
• Chauhan, C. and Singh, A. (2020), "A review of Industry 4.0 in supply chain management studies", Journal of Manufacturing Technology Management, Vol. 31 No. 5, pp. 863-886.
• Chen, D. Q., D. S. Preston, and M. Swink. (2015). “How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management.” Journal of Management Information Systems 32 (4): 4–39.
• Cheng, R., Wu, N., Varvello, M., Chen, S., & Han, B. (2022). Are We Ready for Metaverse? A Measurement Study of Social Virtual Reality Platforms. Paper presented at the Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC.
• Crowell, B. (2022). Blockchain-based metaverse platforms: Augmented analytics tools, interconnected decision-making processes, and computer vision algorithms. Linguistic and Philosophical Investigations, 21, 121–136.
• Cui, L., Gao, M., Dai, J. and Mou, J. (2022), "Improving supply chain collaboration through operational excellence approaches: an IoT perspective", Industrial Management & Data Systems, Vol. 122 No. 3, pp. 565-591.
• Darnall, N., Jolley, G. J., & Handfield, R. (2008). Environmental management systems and green supply chain management: complements for sustainability?. Business strategy and the environment, 17(1), 30-45.
• Demir, S., Yilmaz, I., & Paksoy, T. (2020). Augmented Reality in Supply Chain Management. In Paksoy, T., Kochan, C.G., & Ali, S.S. (Eds.), Logistics 4.0: Digital Transformation of Supply Chain Management (pp. 136–145). CRC Press.
• Durach, C.F., Kembro, J.H. and Wieland, A. (2021), "How to advance theory through literature reviews in logistics and supply chain management", International Journal of Physical Distribution & Logistics Management, Vol. 51 No. 10, pp. 1090-1107.
• Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., RibeiroNavarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cmk, C., Conboy, K., Doyle, R., Rr, D., Dutot, V., Felix, R., Goyal, D. P., Gustafsson, A., Hinsch, C., Jebabli, I., Janssen, M., Kim, Y., Kim, J., Koos, S., Kreps, D., Kshetri, N., Kumar, V., Ooi, K., Papagiannidis, S., Pappas, I., Polyviou, A., Park, S., Pandey, N., Queiroz, M. M., Raman, R., Rauschnabel, P. A., Shirish, A., Sigala, M., Spanaki, K., Wei-Han Tan, G., Tiwari, M. K., Viglia, G., and SF., W. (2022). Metaverse Beyond the Hype: Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy. International Journal of Information Management, 66(10254):2.
• Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2019). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management.
• Edirisinghe, R. (2019), "Digital skin of the construction site: Smart sensor technologies towards the future smart construction site", Engineering, Construction and Architectural Management, Vol. 26 No. 2, pp. 184-223.
• Esmaeilian, B., Sarkis, J., Lewis, K., & Behdad, S. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, Conservation and Recycling, 163, 105064.
• Fabbe-Costes, N. and Lechaptois, L. (2022), “Chapter 17 - automotive supply chain digitalization: lessons and perspectives”, in MacCarthy, B.L. and Ivanov, D. (Eds), The Digital Supply Chain, Elsevier, Amsterdam, NL, pp. 289-308.
• Farhang, S., & Arvand, H. (2023). The effect of using digital simulation technologies on social cognitive learning of ethical behavior in military organizations. Defensive Future Studies, 8(29), 135-160.(In Persian)
• Gagliardi, A.R., Festa, G., Usai, A., Dell'Anno, D. and Rossi, M. (2023), "The impact of knowledge management on the digital supply chain – a bibliometric literature review", International Journal of Physical Distribution & Logistics Management, Vol. ahead-of-print No. ahead-of-print.
• Gerami, M., & Sarihi, S. (2020). The impacts of Internet of Things (IOT) in supply chain management. Journal of Management and Accounting Studies, 8(3), 31-37.
• Ghadge, A., Er Kara, M., Moradlou, H. and Goswami, M. (2020), "The impact of Industry 4.0 implementation on supply chains", Journal of Manufacturing Technology Management, Vol. 31 No. 4, pp. 669-686.
• Govindan, K., Fattahi, M. and Keyvanshokooh, E. (2017), “Supply chain network design under uncertainty: a comprehensive review and future research directions”, European Journal of Operational Research, Vol. 263 No. 1, pp. 108-141.
• Gudarzi, G., & Ejlali, M. M. (2022). Analysis of future trends in defense technologies over a ten-year horizon. Defensive Future Studies, 6(23), 37-57. doi: 10.22034/dfsr.2022.530777.1497 .(In Persian).
• Gunasekaran, A., Papadopoulos, T., Dubey, R., Fosso Wamba, S., Childe, S. J., Hazen, B. & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70 308-317.
• Guzman, A. L., & Lewis, S. C. (2020). Artificial intelligence and communication: A Human– Machine Communication research agenda. New Media & Society, 22(1), 70-86.
• Hadavi, C. (2022), “The Metaverse of supply chain planning: creating virtual supply chains”, Forbes, available at: https://www.forbes.com/sites/forbestechcouncil/2022/07/12/the-metaverse-ofsupply-chain-planning-creating-virtual-supply-chains/?sh5541226822434.
• Han, D. I. D., Bergs, Y., & Moorhouse, N. (2022). Virtual reality consumer experience escapes: preparing for the metaverse. Virtual Reality, 26(4), 1443–1458.
• Hazen, Benjamin T., Boone, Christopher A., Ezell, Jeremy D. and Jones-Farmer, L. Allison, (2014), Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications, International Journal of Production Economics, 154, issue C, p. 72-80.
• Huang, M. H., & Rust, R. T. (2020). Engaged to a Robot? The Role of AI in Service. Journal of Service Research.
• (2022). Metaverse may be $800 billion market, next tech platform. Retrieved from.
• Ivanov, D. and Dolguib, A. (2021). A Digital Supply Chain Twin for Managing the Disruption Risks and Resilience in the Era of Industry 4.0. Production Planning & Control, pages 775–788.
• Ivanov, D., Dolgui, A. and Sokolov, B. (2018), “The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics”, International Journal of Production Research, Vol. 57 No. 3, pp. 1-18.
• Joshua, J. (2017). Information Bodies: Computational Anxiety in Neal Stephenson’s Snow Crash. Interdisciplinary Literary Studies, pages 17–47.
• E.K., V., Nadeem, S.P., Meledathu Sunil, S., Suresh, G., Sanjeev, N. and Kandasamy, J. (2022), "Modelling the strategies for improving maturity and resilience in medical oxygen supply chain through digital technologies", Journal of Global Operations and Strategic Sourcing, Vol. 15 No. 4, pp. 566-595.
• Kache, F. and Seuring, S. (2017), "Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management", International Journal of Operations & Production Management, Vol. 37 No. 1, pp. 10-36.
• Kafeel, H., Kumar, V., & Duong, L. (2023). Blockchain in Supply Chain Management: A Synthesis of Barriers and Enablers for Managers. International Journal of Mathematical, Engineering and Management Sciences, 8(1), 15-42.
• Kalbouneh, N., Bataineh, K., Al-Hamad, A., Dwakat, M., Abualoush, S., Almasarweh, M & Al-Smadi, R. (2023). The effects of the blockchain technology and big data analytics on supply chain performance: The mediating effect supply chain risk management.Uncertain Supply Chain Management, 11(3), 903-914.
• Kamble, S., Gunasekaran, A., & Arha, H. (2019). Understanding the Blockchain technology adoption in supply chains-Indian context. International Journal of Production Research, 57(7), 2009–2033.
• Kamble, Sachin S. & Gunasekaran, Angappa & Sharma, Rohit, (2020). "Modeling the blockchain enabled traceability in agriculture supply chain," International Journal of Information Management, Elsevier, vol. 52(C).
• Kaya, S. K., Paksoy, T., & Garza-Reyes, J. A. (2020). The Impact of the Internet of Things on Supply Chain 4.0: A Review and Bibliometric Analysis. In Paksoy, T., Kochan, C.G., & Ali, S.S. (Eds.), Logistics 4.0: Digital Transformation of Supply Chain Management (pp. 35–50). CRC Press.
• Khanuja, A., & Jain, R. K. (2022). The mediating effect of supply chain flexibility on the relationship between supply chain integration and supply chain performance. Journal of Enterprise Information Management, 35(6), 1548-1569.
• Kim H. M. Laskowski M. (2018). Toward an ontology-driven blockchain design for supply-chain provenance.Intelligent Systems in Accounting, Finance & Management, 25(1), 18–27.
• Kouhizadeh, M., Saberi, S., & Sarkis, J. (2021). Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers. International journal of production economics, 231, 107831.
• Kshetri, N., (2018). 1 Blockchain’s roles in meeting key supply chain management objectives. J. Inf. Manag. 39, 80–89.
• Kunrath, T. L., Dresch, A., Veit, D. R. (2023), “Supply chain management and industry 4.0: a theoretical approach”, Brazilian Journal of Operations and Production Management, Vol. 20, No. 1, e20231263.
• Lee, S. H., Lee, H., and Kim, J. H. (2022). Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning. Computers, Materials & Continua, pages 4983–4997.
• Litke, A., Anagnostopoulos, D., Varvarigou, T., (2019). Blockchains for supply chain management: Architectural elements and challenges towards a global scale deployment. Logistics 3 (1), 5.
• Lund, S., Manyika, J., Woetzel, J., Bughin, J., Krishnan, M., Jeongmin, S., and Muir, M. (2019). Globalization in Transition: The Future of Trade and Value Chains. McKinsey Global Institute, Chicago.
• Mageto, J. (2021). Big Data Analytics in Sustainable Supply Chain Management: A Focus on Manufacturing Supply Chains. Sustainability, 13(13), 7101.
• Maio, R., Santos, A., Marques, B. et al. (2023). Pervasive Augmented Reality to support logistics operators in industrial scenarios: a shop floor user study on kit assembly. Int J Adv Manuf Technol 127, 1631–1649.
• Marmolejo-Saucedo, J.A. (2022). Digital Twin Framework for Large-Scale Optimization Problems in Supply Chains: A Case of Packing Problem. Mobile Netw Appl 27, 2198–2214.
• Marsal-Llacuna, M.L., (2018). Future living framework: is blockchain the next enabling network? Forecast. Soc. Chang. 128, 226–234.
• McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (1955). A proposal for the Dartmouth summer research project on artificial intelligence. Stanford University.
• Modgil, S, Singh, RK and Hannibal, C (2021) Artificial Intelligence for Supply Chain Resilience: Learning from Covid-19. The International Journal of Logistics Management. ISSN 0957-4093.
• Morshedi, A., & Nezafati, N. (2021). The Interpretation of Knowledge Management Implementation Challenges and the Design of Relevant Solutions in Supply Chains (Case study: Steel Industry). Scientific Journal of Strategic Management of Organizational Knowledge, 4(3), 175-223.(In Persian)
• Muda, I., Sivaraman, R., Al-Hawary, S. I. S., Rahardja, U., Bader, R. S., Kadarsyah, D., ... & Chaudhary, P. (2022). Hub Location allocation in Computer-based Networks under Disruption Using Whale Optimization Algorithm. Industrial Engineering & Management Systems, 21(3), 503-515.
• C. Wu, M.A. Nystrom, T.R. Lin, H.C. Yu, (2006). Challenges to global RFID adoption,Technovation,Volume 26, Issue 12,Pages 1317-1323,ISSN 0166-4972.
• Nayeri, S., Sazvar, Z. and Heydari, J. (2022), “Towards a responsive supply chain based on the Industry 5.0 dimensions: a novel decision-making method”, Expert Systems with Applications, Vol. 213 No. Part C, pp. 1-35, (p. 119267 as starting page).
• Pan, X. (2008). Information Technology in Logistics and Supply Chain Management. In IEEE International Conference on Automation and Logistics, ICAL 2008, pages 2185–2188, Qingdao. IEEE.
• Plakas, George & Ponis, Stavros & Agalianos, K. & Aretoulaki, Eleni & Gayialis, Sotiris. (2020). Augmented Reality in Manufacturing and Logistics: Lessons Learnt from a Real-Life Industrial Application. Procedia Manufacturing. 51. 1629-1635.
• Rahchamani, S. M., Heydariyeh, S. A., & Zargar, S. M. (2022). Designing a Model for Intelligent Service Supply Chain Based on Grounded Theory (Case Study: Omid Entrepreneurship Fund). Journal of Industrial Management Perspective, 12(Issue 2, Summer 2022), 89-111.(In Persian).
• Rahman, M., Wahab, S., & Latiff, A. (2022). Organizational sustainability: Issues, challenges and the future of Bangladesh pharmaceutical industry. Journal of Future Sustainability, 2(4), 157-166.
• Ramirez-Peña, M., Mayuet, P. F., Vazquez-Martinez, J. M., & Batista, M. (2020). Sustainability in the aerospace, naval, and automotive supply chain 4.0: Descriptive review. Materials, 13(24), 1-23.
• Rejeb, A., Simske, S., Rejeb, K.,  Treiblmaier, H.,  Zailani, S. (2020). Internet of Things research in supply chain management and logistics: A bibliometric analysis, Internet of Things,Volume 12,100318,ISSN 2542-6605.
• Richter, S. Richter, A.(2023). What is novel about the Metaverse?. International Journal of Information Management,Volume 73,102684.
• Saberi, S., Kouhizadeh, M., Sarkis, J., Shen, L., (2018): Blockchain technology and its relationships to sustainable supply chain management, International Journal of Production Research.
• Salimi Zawiya, Seyyed Ghasem, and Shams, Saeeda. (2021). Analysis of digital supply chain management (future development trend). Iran Rubber Industry, 25(102), 49-62. (In Persian).
• Scaff, R. (2022), “4 ways the metaverse will benefit supply chain networks”, Accenture, available at: https://www.accenture.com/us-en/blogs/business-functions-blog/metaverse-supply-chainnetworks.
• Schniederjans, D. G., Curado, C., & Khalajhedayati, M. (2020). Supply chain digitization trends: An integration of knowledge management. International Journal of Production Economics.
• Scott, B., Loonam, J., & Kumar, V. (2017). Exploring the rise of blockchain technology: Towards distributed collaborative organisations. Strategic Change, 26(5), 423-428.
• Sharifpour, H., Ghaseminezhad, Y., Hashemi-Tabatabaei, M., & Amiri, M. (2022). Investigating cause-and-effect relation- ships between supply chain 4.0 technologies. Engineering Management in Production and Services, 14(4), 22-46.
• Sillanpää, I. (2015). Empirical study of measuring supply chain performance. Benchmarking: An International Journal, 22(2), 290-308.
• Silva, Carollina & Eloanne, Gabriela & Fontana, Marcele. (2021). Modal infoviário na logística da informação: estudo da sua importância e competências de futuros profissionais. JPM - Journal of Perspectives in Management. 59.
• Sobb, T., Turnbull, B., & Moustafa, N. (2020). Supply chain 4.0: A survey of cyber security challenges, solutions and future directions, Electronics, 9(11), 1-31.
• Solís-Quinteros, M.M., Ávila-López, L.A., Zayas-Márquez, C., Arredondo-Soto, K.C. (2022). Digital Evolution in Supply Chain Management with Industry 4.0. In: García Alcaraz, J.L., Realyvásquez Vargas, A. (eds) Algorithms and Computational Techniques Applied to Industry. Studies in Systems, Decision and Control, vol 435. Springer, Cham.
• Tan, G.W.-H., Aw, E.C.-X., Cham, T.-H., Ooi, K.-B., Dwivedi, Y.K., Alalwan, A.A., Balakrishnan, J., Chan, H.K., Hew, J.-J., Hughes, L., Jain, V., Lee, V.H., Lin, B., Rana, N.P. and Tan, T.M. (2023), "Metaverse in marketing and logistics: the state of the art and the path forward", Asia Pacific Journal of Marketing and Logistics, Vol. ahead-of-print No. ahead-of-print.
• Toan-Vu Le, Hiep-Hung Pham, and Van Binh Tran.(2022). "A Bibliometric Analysis of Studies on ‘Start-up Success’ Covering the Period 1981-2019", Journal of Scientometric Research, 11,2,212-225.
• Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021). Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research, 122, 502-517.
• Trivedi, S. (2022). Procurement/Supply Chain Management: Management Enthusiast.
• Trivedi, S., & Negi, S. (2023). The Metaverse in Supply Chain Management: Application and Benefits . International Journal of Advanced Virtual Reality, 1(1), 36–43.
• Um, J., & Han, N. (2020). Understanding the relationships between global supply chain risk and supply chain resilience: the role of mitigating strategies. Supply Chain Management: An International Journal, 26(2), 240-255.
• Valaskova, K., Vochozka, M., & L˘ az˘ aroiu, G. (2022). Immersive 3D technologies, spatial computing and visual perception algorithms, and event modeling and forecasting tools on blockchain-based metaverse platforms. Analysis and Metaphysics, 21, 74–90.
• Venkatesan, M., Mohan, H., Ryan, J. R., Schürch, C. M., Nolan, G. P., Frakes, D. H., & Coskun, A. F. (2021). Virtual and augmented reality for biomedical applications. Cell Reports Medicine, 2(7), 1-13.
• Vincent, Ch, & Ali, E, & Tatiana, Gh. (2023). "A critical analysis of the integration of blockchain and artificial intelligence for supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 7-47, August.
• Vyas, N., Beije, A., & Krishnamachari, B. (2019). Blockchain and the supply chain: concepts, strategies and practical applications. Kogan Page Publishers, New York.
• Waller,   A.,  &  Fawcett,  S.  E.  (2013).  Data  science,  predictive  analytics,  and  big  data:  a revolution  that  will  transform  supply  chain  design  and  management. Journal  of  Business Logistics, 34(2), 77-84.
• Wamba, S.F., & Queiroz, M.M. (2020). Blockchain in the operations and supply chain management: Benefits, challenges and future research opportunities. International Journal of Information Management, 52, 102064.
• Weber, P. (2023). Unrealistic Optimism Regarding Artificial Intelligence Opportunities in Human Resource Management. International Journal of Knowledge Management (IJKM), 19(1), 1-19.
• Yontar, E.(2023). The role of blockchain technology in the sustainability of supply chain management: Grey based dematel implementation, Cleaner Logistics and Supply Chain, Volume 8, 100113, ISSN 2772-3909,
• Zarei, G., & Ghasemi hamedani, I. (2022). Presenting a Model for Business Intelligence: A Case Study on the Insurance Industry. Scientific Journal of Strategic Management of Organizational Knowledge, 5(2), 49-76..(In Persian).
• Zarghami, H. R., Gholami, M., Sadeghi, A., & Mohagheghi, J. (2023). Minimum Requirements for using Intelligent Logistics in Defense Organizations. Military Science and Tactics, 18(62), 75-101. doi: 10.22034/qjmst.2023.539824.1593.

Zhang, X., & Zhao, J. (2019). The Impact of Big Data on Supply Chain Resilience: the Moderating Effect of Supply Chain Complexity. In Proceedings of The Eighteenth Wuhan International Conference on E-Business (WHICEB), (Vol. 22, pp. 479- 486).