Submitted:
04 July 2024
Posted:
05 July 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Literature Review
3. Materials and Method
4. Results and Findings




5. Discussion
6. Conclusion
References
- Alvarez, R., & Poler, R. (2021). Managing supply chain disruptions: A resilience perspective. International Journal of Production Research, 59(5), 1387-1407.
- Bevilacqua, M., Ciarapica, F. E., & Giacchetta, G. (2020). Supply chain management for disaster relief: A multi-criteria decision-making model based on fuzzy logic. International Journal of Production Economics, 221, 107467.
- Chae, B. K., Olson, D. L., & Sheu, C. (2020). Mitigating supply chain disruption risks through strategic flexibility: A study of resource dependence perspective. International Journal of Production Economics, 229, 107733. [CrossRef]
- Chopra, S., & Sodhi, M. S. (2004). Managing risk to avoid supply-chain breakdown. MIT Sloan Management Review, 46(1), 53-61. https://sloanreview.mit.edu/article/managing-risk-to-avoid-supply-chain-breakdown/.
- Christopher, M., & Peck, H. (2004). Building the resilient supply chain. International Journal of Logistics Management, 15(2), 1-14. [CrossRef]
- Christopher, M., & Peck, H. (2004). Building the resilient supply chain. International Journal of Logistics Management, 15(2), 1-14. [CrossRef]
- Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfield, R. B. (2007). The severity of supply chain disruptions: Design characteristics and mitigation capabilities. Decision Sciences, 38(1), 131-156. [CrossRef]
- Dey, P. K., Hariharan, S., & Xu, K. (2021). Decision-making framework for supply chain risk management in the oil and gas industry. International Journal of Production Research, 59(5), 1417-1439.
- Dubey, R., Altay, N., & Gunasekaran, A. (2019). Big data analytics capability in supply chain agility and organizational performance. Computers in Industry, 103, 3-15. [CrossRef]
- Dubey, R., Gunasekaran, A., & Ali, S. S. (2015). Exploring the relationship between leadership, operational practices, institutional pressures and environmental performance: A framework for green supply chain. International Journal of Production Economics, 160, 120-132. [CrossRef]
- Emon, M. H. (2023). A systematic review of the causes and consequences of price hikes in Bangladesh. Review of Business and Economics Studies, 11(2), 49-58. [CrossRef]
- Emon, M. M. H., & Chowdhury, M. S. A. (2024). Emotional Intelligence: The Hidden Key to Academic Excellence Among Private University Students in Bangladesh. Malaysian Mental Health Journal, 3(1), 12–21.
- Emon, M.M.H., Khan, T., & Siam, S.A.J. (2024). Quantifying the influence of supplier relationship management and supply chain performance: an investigation of Bangladesh’s manufacturing and service sectors. Brazilian Journal of Operations & Production Management, 21(2), 2015. [CrossRef]
- Faisal, M. N., Banwet, D. K., & Shankar, R. (2006). Supply chain risk mitigation: Modeling the enablers. Business Process Management Journal, 12(4), 535-552. [CrossRef]
- Ivanov, D. (2020). Viable supply chain model: Integrating agility, resilience, and sustainability perspectives—Lessons from and thinking beyond the COVID-19 pandemic. Annals of Operations Research, 291(1-2), 293-315. [CrossRef]
- Ivanov, D., & Dolgui, A. (2020). A digital supply chain twin for managing the disruptions risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 760-774. [CrossRef]
- Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruptions risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 760-774.
- Iyer, A. V., Germain, R., & Sueyoshi, T. (2021). A risk management framework for global supply chains: Impact on supply chain performance. Omega, 101, 102216.
- Jabbarzadeh, A., Fahimnia, B., & Seuring, S. (2014). Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application. Transportation Research Part E: Logistics and Transportation Review, 70, 225-244. [CrossRef]
- Kamalahmadi, M., & Parast, M. M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International Journal of Production Economics, 171, 116-133. [CrossRef]
- Khan, S. A., & Burnes, B. (2007). Risk and supply chain management: Creating a research agenda. International Journal of Operations & Production Management, 27(12), 1144-1165. [CrossRef]
- Khan, T., Emon, M. M. H., & Siam, S. A. J. (2024). Impact of Green Supply Chain Practices on Sustainable Development in Bangladesh. Malaysian Business Management Journal, 3(2), 73–83.
- Khan, T., Emon, M. M. H., Rahman, M. A., & Hamid, A. B. A. (2024). Internal Branding Essentials: The Roadmap to Organizational Success. Notion Press.
- Khan, T., Khanam, S. N., Rahman, M. H., & Rahman, S. M. (2019). Determinants of microfinance facility for installing solar home system (SHS) in rural Bangladesh. Energy Policy, 132, 299–308. [CrossRef]
- Khan, T., Rahman, S. M., & Hasan, M. M. (2020). Barriers to Growth of Renewable Energy Technology in Bangladesh. Proceedings of the International Conference on Computing Advancements, 1–6. [CrossRef]
- Kumar, M., Chauhan, S., & Garg, D. (2020). Multi-criteria decision-making methods in supply chain management: A literature review. International Journal of Logistics Research and Applications, 23(1), 67-93. [CrossRef]
- Li, S., Rao, S. S., Ragu-Nathan, T. S., & Ragu-Nathan, B. S. (2005). Development and validation of a measurement instrument for studying supply chain management practices. Journal of Operations Management, 23(6), 618-641. [CrossRef]
- Natarajarathinam, M., Capar, I., & Narayanan, A. (2009). Supply chain vulnerability and resilience: A state of the art review. International Journal of Supply Chain Management, 14(1), 43-52. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.415.1718&rep=rep1&type=pdf.
- Pagell, M., & Shevchenko, A. (2014). Why research in sustainable supply chain management should have no future. Journal of Supply Chain Management, 50(1), 44-55. [CrossRef]
- Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010). Ensuring supply chain resilience: Development and implementation of an assessment tool. Journal of Business Logistics, 31(1), 1-21. [CrossRef]
- Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124-143. [CrossRef]
- Ramezankhani, M. J., & Arab, M. (2019). A decision support system for resilient and sustainable supply chain network design considering social responsibility. Annals of Operations Research, 283(1-2), 985-1012.
- Schoenherr, T., & Swink, M. (2012). Revisiting the arcs of integration: Cross-validations and extensions. Journal of Operations Management, 30(1-2), 99-115. [CrossRef]
- Sheffi, Y. (2005). The resilient enterprise: Overcoming vulnerability for competitive advantage. MIT Press. [Book].
- Sheffi, Y. (2007). The resilient enterprise: Overcoming vulnerability for competitive advantage. MIT Press. [Book].
- Srivastava, S. K., & Srivastava, R. K. (2020). Green supply chain management under disruption risks using multi-objective optimization. Annals of Operations Research, 291(1-2), 317-347.
- Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451-488. [CrossRef]
- Van der Vorst, J. G. A. J., Beulens, A. J. M., & van Beek, P. (2007). Modelling and simulating multi-actor logistics networks for perishable goods. International Journal of Production Economics, 107(1), 189-198. [CrossRef]
- Vereecke, A., & Muylle, S. (2006). Performance improvement through supply chain collaboration in Europe. International Journal of Operations & Production Management, 26(11), 1176-1198. [CrossRef]
- Wagner, S. M., & Bode, C. (2008). An empirical examination of supply chain performance along several dimensions of risk. Journal of Business Logistics, 29(1), 307-325. [CrossRef]
- Wagner, S. M., & Bode, C. (2008). An empirical examination of supply chain performance along several dimensions of risk. Journal of Business Logistics, 29(1), 307-325. [CrossRef]
- Wang, T. F., Ng, A. K. Y., & Law, C. H. (2016). Supplier selection in agile supply chains: An information-processing model and an illustration. Decision Sciences, 47(3), 451-487. [CrossRef]
- Wang, W., Chien, C. F., & Trappey, A. J. C. (2015). A systematic approach to managing supply and demand risks. Omega, 53, 1-18. [CrossRef]
- Xie, X., Chen, J., & Wang, L. (2019). A multi-criteria decision making model for supply chain risk assessment. Annals of Operations Research, 283(1-2), 1013-1033.
- Zhao, X., & Zhang, W. (2018). Supply chain disruption management: A bibliometric and content-based literature review. International Journal of Production Research, 56(1-2), 582-605.
- Zsidisin, G. A., & Ellram, L. M. (2003). An analysis of supply risk assessment techniques. International Journal of Physical Distribution & Logistics Management, 33(5), 427-445.
- Zsidisin, G. A., & Wagner, S. M. (2010). Do perceptions become reality? The moderating role of supply chain resiliency on disruption occurrence. Journal of Business Logistics, 31(2), 1-21. [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).