Supply chain resilience: the case of bibliometric analysis
DOI:
https://doi.org/10.59476/mtt2026.v2i22.774Keywords:
supply chain, resilience, bibliometric analysis, clustersAbstract
Today, resilience in supply chains is essential to business processes, enabling companies to adapt, manage change, and decide on recovery strategies in an uncertain, highly interconnected global environment. The aim of this article is to assess the historical development and conceptual evolution of supply chain resilience and to summarize the current state of research. This is achieved by: (1) thematically selecting and summarizing studies, (2) identifying key factors, and (3) conducting bibliometric analysis, describing research gaps, and suggesting further research. Supply chain resilience is examined using an integrated approach, combining a theoretical review with a bibliometric analysis of the existing literature to identify the key factors of resilience. Attention is focused on internal and external capabilities, organizational and systemic flexibility, inter-organizational collaboration, and the adoption of advanced technologies. Using the Web of Science and Scopus databases and specific keywords, peer-reviewed empirical and conceptual articles on the links between resilience and the supply chain are selected. A dynamic systematic literature network analysis methodology is applied, combining systematic review procedures and bibliographic network analysis to reveal key research trends, thematic clusters, and major contributions. The selected articles were used to develop a reference framework encompassing the dimensions of supply chains and resilience. This article develops a reference framework for “supply chain resilience,” defining its application procedures and guidelines. Research findings indicate that despite the abundance of literature, many publications still fail to provide clear practical insights into the implementation of specific “Supply Chain Resilience” initiatives. This is important for both academia and practice: it is highlighted that resilient supply chains are not an added value but a strategic necessity that ensures business continuity and long-term competitive advantage. The results contribute to the development of a more coherent conceptual framework and define key guidelines for further research and managerial decision-making.
References
1. Piprani, A. Z., Jaafar, N. I., Ali, S. M., Mubarik, M. S., & Shahbaz, M. (2022). Multi-dimensional supply chain flexibility and supply chain resilience: the role of supply chain risks exposure. Operations Management Research, 15(1), 307–325. https://doi.org/10.1007/s12063-021-00232-w
2. Drozdibob, A., Sohal, A., Nyland, C., & Fayezi, S. (2023). Supply chain resilience in relation to natural disasters: Framework development. Production Planning & Control, 34(16), 1603–1617. https://doi.org/10.1080/09537287.2022.2035446
3. Skenderi, N., & Krasniqi, S. (2025). Exploring the Impact of Dynamic Managerial Capabilities and Supply Chain Orientation on Supply Chain Resilience: A Structural Equation Modeling Approach. International Review of Management and Marketing, 15(5), 401–413. https://doi.org/10.32479/irmm.18687
4. Ali, A., Mahfouz, A., & Arisha, A. (2017). Analysing supply chain resilience: integrating the constructs in a concept mapping framework via a systematic literature review. Supply chain management: an international journal, 22(1), 16–39. https://doi.org/10.1108/SCM-06-2016-0197
5. Adobor, H., & McMullen, R. S. (2018). Supply chain resilience: a dynamic and multidimensional approach. The International Journal of Logistics Management, 29(4), 1451–1471. https://doi.org/10.1108/IJLM-04-2017-0093
6. Geske, A. M., & Novoszel, L. (2022). Definition and development of supply chain resilience. In Supply Chain Resilience: Insights from Theory and Practice (pp. 3–23). Springer International Publishing. https://doi.org/10.1007/978-3-030-95401-7_1
7. Zaman, S. A. A., Qazi, H., Zafar, A., & Jiang, Y. (2025). Emerging Technologies and Smart Supply Chain Management: A Roadmap for Future Success. Smart Supply Chain Management: Design, Methods and Impacts, 135–156. https://doi.org/10.1007/978-981-96-1333-5_8
8. Al-Qasimi, M., Khudari, M., & Al Balushi, Z. (2024). A review on mitigating disruptions and improving resilience in supply chain logistics. WSEAS Transactions on Business and Economics, 21, 2551–2577. https://doi.org/10.37394/23207.2024.21.210
9. Iftikhar, A., & Vlachos, I. (2025). Supply chain resilience in the face of geopolitical turmoil. In Global Value Chains and Geopolitical Uncertainty (pp. 142–156). Routledge.
10. Tukamuhabwa, B. R., Stevenson, M., Busby, J., & Zorzini, M. (2015). Supply chain resilience: definition, review and theoretical foundations for further study. International journal of production research, 53(18), 5592–5623. https://doi.org/10.1080/00207543.2015.1037934
11. Maheshwari, S., & Jaggi, C. K. (2025). Enhancing supply chain resilience through industry-specific approaches to mitigating disruptions. Opsearch, 62(4), 1687–1720. https://doi.org/10.1007/s12597-024-00872-z
12. Hu, Y., & Ghadimi, P. (2025). Developing Supply Chain Resilience with Advanced Digital Technology: A Review. IFAC-PapersOnLine, 59(10), 2880–2885. https://doi.org/10.1016/j.ifacol.2025.09.484
13. Ceptureanu, E. G., Ferraro, G., Ceptureanu, S. I., Lazar, R., Florescu, M., & Matei, A. (2025). Impact of artificial intelligence and blockchain on supply chain resilience under influence of change management. Soft Computing, 29, 3617–3625. https://doi.org/10.1007/s00500-025-10564-5 .(0123456789().,-volV)(0123456789,-().volV)
14. Irfan, M., Verma, J., Parameswaran, S., & Sheikh, I. A. (2025). Integrating emerging technologies: Enhancing supply chain optimization through AI, IoT, and Blockchain. In Enhancing social sustainability in manufacturing supply chains (pp. 199–220). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-9740-4.ch007
15. Wu, L., Huang, J., Wang, M., & Kumar, A. (2024). Unleashing supply chain agility: Leveraging data network effects for digital transformation. International Journal of Production Economics, 277, 109402. https://doi.org/10.1016/j.ijpe.2024.109402
16. de Oliveira, V. F., Matiolli, G., Júnior, C. J. B., Gaspar, R., & Lins, R. G. (2024). Digital twin and cyber-physical system integration in commercial vehicles: Latest concepts, challenges and opportunities. IEEE Transactions on Intelligent Vehicles, 9(4), 4804–4819. https://doi.org/10.1109/TIV.2024.3378579
17. Muralidhar, L. B., Sathyanarayana, N., Swapna, H. R., Hukkeri, S. V., & Sultana, P. R. (2025). Industry 4.0 in Supply Chains: Enhancing Collaboration Through IoT, Blockchain, Big Data, and AI. In Multi-Stakeholder Collaboration for Sustainable Supply Chain (pp. 291–312). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-8925-6.ch013
18. Abudu, R., Thompson, E. A., Dzawu, F. S., & Roa-Henriquez, A. (2025). A meta-analysis assessment of adaptive and transformative approaches to supply chain resilience. Supply Chain Analytics, 10, 100124. https://doi.org/10.1016/j.sca.2025.100124
19. Namdar, J., Blackhurst, J., & Azadegan, A. (2022). On synergistic effects of resilience strategies: developing a layered defense approach. International Journal of Production Research, 60(2), 661–685. https://doi.org/10.1080/00207543.2021.2013561
20. Femano, A. L., & Breitbach, T. (2025). Measuring supply chain resilience for informed resilience strategy investment. Transportation Journal, 64(1), e12037. https://doi.org/10.1002/tjo3.12037
21. Shasha, L., Zimeng, T., Zhihao, Z., & Xingyu, L. (2025). Research on the Vulnerability and Resilience of Supply Chain Based on Complex Networks. In 2025 37th Chinese Control and Decision Conference (CCDC) (pp. 2938–2943), IEEE. https://doi.org/10.1109/CCDC65474.2025.11091172
22. Pavlov, A., Pavlov, D., & Zakharov, V. (2019). Possible ways of assessing the resilience of supply chain networks in conditions of unpredictable disruptions. IFAC-PapersOnLine, 52(13), 1283–1288. https://doi.org/10.1016/j.ifacol.2019.11.375
23. Agarwal, N., Seth, N., & Agarwal, A. (2022). Evaluation of supply chain resilience index: a graph theory based approach. Benchmarking: An International Journal, 29(3), 735–766. https://doi.org/10.1108/BIJ-09-2020-0507
24. Quttainah, M. A., Kumar, A., & Kanwal, P. (2025). Knowledge management (KM) and supply chain agility: Investigating how KM practices contribute to supply chain agility in entrepreneurial contexts. In Impacts of Entrepreneurial Orientation on Supply Chain Management (pp. 291–320). IGI Global. https://doi.org/10.4018/979-8-3693-3386-0.ch011
25. Fayezi, S., & Ghaderi, H. (2022). What are the mechanisms through which inter-organizational relationships contribute to supply chain resilience?. Asia Pacific Journal of Marketing and Logistics, 34(1), 159–174. https://doi.org/10.1108/APJML-06-2019-0363
26. Stephens, A. R., Kang, M., & Robb, C. A. (2022). Linking supply chain disruption orientation to supply chain resilience and market performance with the stimulus–organism–response model. Journal of Risk and Financial Management, 15(5), 227. https://doi.org/10.3390/jrfm15050227
27. Ahmed, Q., Sumbal, M. S., Lee, C., & Tsui, E. (2025). Supply chain resilience and soft organizational factors–a bibliometric analysis and systematic literature review. Industrial Management & Data Systems, 125(4), 1360–1389. https://doi.org/10.1108/IMDS-08-2024-0810
28. Azadegan, A., & Jayaram, J. (2017). Resiliency in supply chain systems: A triadic framework using family resilience model. In Supply chain risk management: Advanced tools, models, and developments (pp. 269–288). Springer Singapore. https://doi.org/10.1007/978-981-10-4106-8_16
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