How to cite this paper
APA: Javadi, R., Ghanbari, H & Seiti, H. (2025). A bibliometric analysis on supply chain disruptions: Current status, development, and future directions. Journal of Future Sustainability, 5(2), 107-126.
Chicago/Turabian: Javadi, R., Ghanbari, H & Seiti, H. 2025. "A bibliometric analysis on supply chain disruptions: Current status, development, and future directions." Journal of Future Sustainability 5, no. 2 (2025): 107-126.
AMA: Javadi, R., Ghanbari, H & Seiti, H. A bibliometric analysis on supply chain disruptions: Current status, development, and future directions. Journal of Future Sustainability. 2025;5(2):107-126.
References
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Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2024). Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investi-gation. Annals of Operations Research, 333(2), 627-652.
Blanchard, D. (2021). Supply chain management best practices: John Wiley & Sons.
Eskorouchi, A., Ghanbari, H., & Mohammadi, E. (2023). A Scientometric Analysis of Robust Portfolio Optimization. Iranian Journal of Accounting, Auditing and Finance. doi:10.22067/IJAAF.2023.84137.1402
Garfield, E. (1970). Citation indexing for studying science. Nature, 227(5259), 669-671.
Ghanbari, H., Safari, M., Ghousi, R., Mohammadi, E., & Nakharutai, N. (2023). Bibliometric analysis of risk measures for portfolio optimization. Accounting, 9(2), 95-108. doi:10.5267/J.AC.2022.12.003
Gohil, D., & Thakker, S. V. (2021). Blockchain-integrated technologies for solving supply chain challenges. Modern Supply Chain Research and Applications, 3(2), 78-97.
Hassija, V., Chamola, V., Gupta, V., Jain, S., & Guizani, N. (2020). A survey on supply chain security: Application areas, security threats, and solution architectures. IEEE Internet of Things Journal, 8(8), 6222-6246.
Helo, P., & Hao, Y. (2022). Artificial intelligence in operations management and supply chain management: An explora-tory case study. Production Planning & Control, 33(16), 1573-1590.
Hendricks, K. B., & Singhal, V. R. (2005). An empirical analysis of the effect of supply chain disruptions on long‐run stock price performance and equity risk of the firm. Production and Operations Management, 14(1), 35-52.
Kleindorfer, P. R., & Saad, G. H. (2005). Managing disruption risks in supply chains. Production and Operations Man-agement, 14(1), 53-68.
Larni-Fooeik, A., Ghanbari, H., Sadjadi, S. J., & Mohammadi, E. (2024). Behavioral Finance biases: A Comprehensive Review on regret approach studies in portfolio optimization. International Journal of Industrial Engineering & Pro-duction Research, 35(1), 1-23. doi:10.22068/IJIEPR.35.1.1909
Moral-Munoz, J. A., Arroyo-Morales, M., Herrera-Viedma, E., & Cobo, M. J. (2018). An overview of thematic evolution of physical therapy research area from 1951 to 2013. Frontiers in Research Metrics and Analytics, 3, 13.
Nozari, H., Szmelter-Jarosz, A., & Ghahremani-Nahr, J. (2022). Analysis of the challenges of artificial intelligence of things (AIoT) for the smart supply chain (case study: FMCG industries). Sensors, 22(8), 2931.
Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The international journal of logistics management, 20(1), 124-143.
Swan, M. (2018). Blockchain for business: Next-generation enterprise artificial intelligence systems. In Advances in computers (Vol. 111, pp. 121-162): Elsevier.
Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451-488.
Tomlin, B. (2006). On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Science, 52(5), 639-657.
Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of in-formetrics, 11(4), 959-975.
Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2024). Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investi-gation. Annals of Operations Research, 333(2), 627-652.
Blanchard, D. (2021). Supply chain management best practices: John Wiley & Sons.
Eskorouchi, A., Ghanbari, H., & Mohammadi, E. (2023). A Scientometric Analysis of Robust Portfolio Optimization. Iranian Journal of Accounting, Auditing and Finance. doi:10.22067/IJAAF.2023.84137.1402
Garfield, E. (1970). Citation indexing for studying science. Nature, 227(5259), 669-671.
Ghanbari, H., Safari, M., Ghousi, R., Mohammadi, E., & Nakharutai, N. (2023). Bibliometric analysis of risk measures for portfolio optimization. Accounting, 9(2), 95-108. doi:10.5267/J.AC.2022.12.003
Gohil, D., & Thakker, S. V. (2021). Blockchain-integrated technologies for solving supply chain challenges. Modern Supply Chain Research and Applications, 3(2), 78-97.
Hassija, V., Chamola, V., Gupta, V., Jain, S., & Guizani, N. (2020). A survey on supply chain security: Application areas, security threats, and solution architectures. IEEE Internet of Things Journal, 8(8), 6222-6246.
Helo, P., & Hao, Y. (2022). Artificial intelligence in operations management and supply chain management: An explora-tory case study. Production Planning & Control, 33(16), 1573-1590.
Hendricks, K. B., & Singhal, V. R. (2005). An empirical analysis of the effect of supply chain disruptions on long‐run stock price performance and equity risk of the firm. Production and Operations Management, 14(1), 35-52.
Kleindorfer, P. R., & Saad, G. H. (2005). Managing disruption risks in supply chains. Production and Operations Man-agement, 14(1), 53-68.
Larni-Fooeik, A., Ghanbari, H., Sadjadi, S. J., & Mohammadi, E. (2024). Behavioral Finance biases: A Comprehensive Review on regret approach studies in portfolio optimization. International Journal of Industrial Engineering & Pro-duction Research, 35(1), 1-23. doi:10.22068/IJIEPR.35.1.1909
Moral-Munoz, J. A., Arroyo-Morales, M., Herrera-Viedma, E., & Cobo, M. J. (2018). An overview of thematic evolution of physical therapy research area from 1951 to 2013. Frontiers in Research Metrics and Analytics, 3, 13.
Nozari, H., Szmelter-Jarosz, A., & Ghahremani-Nahr, J. (2022). Analysis of the challenges of artificial intelligence of things (AIoT) for the smart supply chain (case study: FMCG industries). Sensors, 22(8), 2931.
Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The international journal of logistics management, 20(1), 124-143.
Swan, M. (2018). Blockchain for business: Next-generation enterprise artificial intelligence systems. In Advances in computers (Vol. 111, pp. 121-162): Elsevier.
Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451-488.
Tomlin, B. (2006). On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Science, 52(5), 639-657.