Collaboration, Agility, and Redundancy: Key Strategies for Managing Global Supply Chain Disruptions
DOI:
https://doi.org/10.61978/logistica.v3i3.1064Keywords:
Global Supply Chain, Risk Management Strategies, Supply Chain Resilience, Collaborative Governance, Geopolitical Disruptions, Sustainability Risks, Strategic IntelligenceAbstract
Global supply chains have become highly vulnerable to disruptions caused by pandemics, geopolitical conflicts, trade wars, and sustainability pressures. This narrative review synthesizes existing research on risk management strategies with a focus on resilience, collaboration, sustainability, and strategic intelligence. Literature searches were conducted in Scopus, Web of Science, and Google Scholar, covering studies published between 2010 and 2024. The findings highlight resilience strategies—such as redundancy, agility, and digitalization—as essential mechanisms for mitigating disruptions. Redundancy reduces operational vulnerabilities through buffer inventories and multiple sourcing, while agility enables rapid adjustments to volatile conditions. Digitalization further enhances resilience by improving real-time monitoring and decision-making. Collaborative governance and risk-sharing contracts strengthen supply chain networks by fostering trust and distributing risks equitably. Geopolitical events and the COVID-19 pandemic illustrate the fragility of global networks, emphasizing the importance of supplier diversification, localization, and technological preparedness. Sustainability-related risks, including environmental, social, and governance (ESG) issues, require integrated frameworks that align resilience strategies with ethical and regulatory imperatives. Strategic intelligence emerges as a dynamic capability that supports proactive adaptation and recovery. This review concludes that effective supply chain risk management requires integrated and adaptive frameworks combining resilience, collaboration, and intelligence. Policy support, investment in logistics infrastructure, and targeted strategies for small and medium-sized enterprises (SMEs) are critical for building sustainable and competitive global supply chains in an increasingly uncertain environment,
References
Al-Abdelmalek, N., Küçükvar, M., Onat, N., Fares, E., Ayad, H., Bulak, M., … & Ertogral, K. (2023). Transforming challenges into opportunities for qatar’s food industry: self-sufficiency, sustainability, and global food trade diversification. Sustainability, 15(7), 5755. https://doi.org/10.3390/su15075755 DOI: https://doi.org/10.3390/su15075755
Bassett, H., Lau, J., Giordano, C., Suri, S., Advani, S., & Sharan, S. (2021). Preliminary lessons from covid-19 disruptions of small-scale fishery supply chains. World Development, 143, 105473. https://doi.org/10.1016/j.worlddev.2021.105473 DOI: https://doi.org/10.1016/j.worlddev.2021.105473
Cao, S., Bryceson, K., & Hine, D. (2021). Collaborative risk management in decentralised multi-tier global food supply chains: an exploratory study. The International Journal of Logistics Management, 32(3), 1050-1067. https://doi.org/10.1108/ijlm-07-2020-0278 DOI: https://doi.org/10.1108/IJLM-07-2020-0278
Das, D., Datta, A., Kumar, P., Kazançoğlu, Y., & Ram, M. (2021). Building supply chain resilience in the era of covid-19: an ahp-dematel approach. Operations Management Research, 15(1-2), 249-267. https://doi.org/10.1007/s12063-021-00200-4 DOI: https://doi.org/10.1007/s12063-021-00200-4
Duong, A., Vo, V., Carvalho, M., Sampaio, P., & Quang, H. (2022). Risks and supply chain performance: globalization and covid-19 perspectives. International Journal of Productivity and Performance Management, 72(7), 1962-1986. https://doi.org/10.1108/ijppm-03-2021-0179 DOI: https://doi.org/10.1108/IJPPM-03-2021-0179
Ganesh, A. and Kalpana, P. (2022). Supply chain risk identification: a real-time data-mining approach. Industrial Management & Data Systems, 122(5), 1333-1354. https://doi.org/10.1108/imds-11-2021-0719 DOI: https://doi.org/10.1108/IMDS-11-2021-0719
Gaspar, P., Ceryno, P., Ferrer, A., & Thomé, A. (2020). Phases and tools for supply chain risk management: a systematic literature review. Gestão & Produção, 27(3). https://doi.org/10.1590/0104-530x4227-20 DOI: https://doi.org/10.1590/0104-530x4227-20
Ghadge, A., Wurtmann, H., & Seuring, S. (2019). Managing climate change risks in global supply chains: a review and research agenda. International Journal of Production Research, 58(1), 44-64. https://doi.org/10.1080/00207543.2019.1629670 DOI: https://doi.org/10.1080/00207543.2019.1629670
Govindan, K., Sethi, S., Cheng, T., & Lu, S. (2023). Designing supply chain strategies against epidemic outbreaks such as covid‐19: review and future research directions. Decision Sciences, 54(4), 365-374. https://doi.org/10.1111/deci.12609 DOI: https://doi.org/10.1111/deci.12609
Gurtu, A. and Johny, J. (2021). Supply chain risk management: literature review. Risks, 9(1), 16. https://doi.org/10.3390/risks9010016 DOI: https://doi.org/10.3390/risks9010016
Handfield, R., Graham, G., & Burns, L. (2020). Coronavirus, tariffs, trade wars and supply chain evolutionary design. International Journal of Operations & Production Management, 40(10), 1649-1660. https://doi.org/10.1108/ijopm-03-2020-0171 DOI: https://doi.org/10.1108/IJOPM-03-2020-0171
Hasan, F., Islam, M., & Ishrat, F. (2022). Covid-19 pandemic impact on the supply chains of uk-based multinational manufacturing companies. Business Ethics and Leadership, 6(2), 44-67. https://doi.org/10.21272/bel.6(2).44-67.2022 DOI: https://doi.org/10.21272/bel.6(2).44-67.2022
Hsu, C., He, X., Zhang, T., Chang, A., Liu, W., & Lin, Z. (2022). Enhancing supply chain agility with industry 4.0 enablers to mitigate ripple effects based on integrated qfd-mcdm: an empirical study of new energy materials manufacturers. Mathematics, 10(10), 1635. https://doi.org/10.3390/math10101635 DOI: https://doi.org/10.3390/math10101635
Hsu, C., Li, M., Zhang, T., Chang, A., Shangguan, S., & Liu, W. (2022). Deploying big data enablers to strengthen supply chain resilience to mitigate sustainable risks based on integrated hoq-mcdm framework. Mathematics, 10(8), 1233. https://doi.org/10.3390/math10081233 DOI: https://doi.org/10.3390/math10081233
Hsu, C., Zeng, J., Chang, A., & Cai, S. (2022). Deploying industry 4.0 enablers to strengthen supply chain resilience to mitigate ripple effects: an empirical study of top relay manufacturer in china. IEEE Access, 10, 114829-114855. https://doi.org/10.1109/access.2022.3215620 DOI: https://doi.org/10.1109/ACCESS.2022.3215620
Johnson, J. and Haug, P. (2021). Modifications to global supply chain management strategies resulting from recent trade disruptions: an exploratory study. Journal of Global Operations and Strategic Sourcing, 14(4), 701-722. https://doi.org/10.1108/jgoss-12-2020-0074 DOI: https://doi.org/10.1108/JGOSS-12-2020-0074
Korucuk, S., Tırkolaee, E., Aytekin, A., Karabašević, D., & Karamaşa, Ç. (2023). Agile supply chain management based on critical success factors and most ideal risk reduction strategy in the era of industry 4.0: application to plastic industry. Operations Management Research, 16(4), 1698-1719. https://doi.org/10.1007/s12063-023-00360-5 DOI: https://doi.org/10.1007/s12063-023-00360-5
Kuizinaitė, J., Morkūnas, M., & Volkov, A. (2023). Assessment of the most appropriate measures for mitigation of risks in the agri-food supply chain. Sustainability, 15(12), 9378. https://doi.org/10.3390/su15129378 DOI: https://doi.org/10.3390/su15129378
Liu, D., Li, Z., He, C., & Wang, S. (2021). Risk-averse co-decision for lower-carbon product family configuration and resilient supplier selection. Sustainability, 14(1), 384. https://doi.org/10.3390/su14010384 DOI: https://doi.org/10.3390/su14010384
Madzík, P., Falát, L., Copuš, L., & Čarnogurský, K. (2024). Resilience in supply chain risk management in disruptive world: rerouting research directions during and after pandemic. Annals of Operations Research. https://doi.org/10.1007/s10479-024-06126-x DOI: https://doi.org/10.1007/s10479-024-06126-x
Magableh, G. and Mistarihi, M. (2023). Global supply chain nervousness (gscn). Sustainability, 15(16), 12115. https://doi.org/10.3390/su151612115 DOI: https://doi.org/10.3390/su151612115
Majumdar, A., Agrawal, R., Raut, R., & Narkhede, B. (2022). Two years of covid-19 pandemic: understanding the role of knowledge-based supply chains towards resilience through bibliometric and network analyses. Operations Management Research, 16(3), 1105-1121. https://doi.org/10.1007/s12063-022-00328-x DOI: https://doi.org/10.1007/s12063-022-00328-x
Mzougui, I., Carpitella, S., Certa, A., & Izquierdo, J. (2023). A strategic approach to safeguard global supply chains against covid‐19 disruptions. Mathematical Methods in the Applied Sciences, 48(7), 7875-7889. https://doi.org/10.1002/mma.9373 DOI: https://doi.org/10.1002/mma.9373
Narkhede, G., Samuel, C., Mahajan, S., Verma, D., Sakhare, N., & Chaudhari, T. (2024). Beyond traditional supply chain management: addressing sociopolitical challenges in increasingly turbulent global trade landscape. Business Strategy & Development, 7(2). https://doi.org/10.1002/bsd2.397 DOI: https://doi.org/10.1002/bsd2.397
Pasupuleti, V., Thuraka, B., Kodete, C., & Malisetty, S. (2024). Enhancing supply chain agility and sustainability through machine learning: optimization techniques for logistics and inventory management. Logistics, 8(3), 73. https://doi.org/10.3390/logistics8030073 DOI: https://doi.org/10.3390/logistics8030073
Pham, H., Quang, H., Sampaio, P., Carvalho, M., Tran, D., Vo, V., … & Duong, A. (2022). The impact of global risks on supply chain performance: an empirical study on construction sector in the covid-19 pandemic. International Journal of Quality & Reliability Management, 40(4), 1009-1035. https://doi.org/10.1108/ijqrm-03-2022-0084 DOI: https://doi.org/10.1108/IJQRM-03-2022-0084
Rasshyvalov, D., Portnov, Y., Sigaieva, T., Alboshchii, O., & Rozumnyi, O. (2024). Navigating geopolitical risks: implications for global supply chain management. Multidisciplinary Reviews, 7, 2024spe017. https://doi.org/10.31893/multirev.2024spe017 DOI: https://doi.org/10.31893/multirev.2024spe017
Revilla, E. and Sáenz, M. (2017). The impact of risk management on the frequency of supply chain disruptions. International Journal of Operations & Production Management, 37(5), 557-576. https://doi.org/10.1108/ijopm-03-2016-0129 DOI: https://doi.org/10.1108/IJOPM-03-2016-0129
Rezaei-Arangdad, S. and Godfrey, A. (2024). Disruptions and adaptations: covid-19's impact on textile supply chain management. Advances in Science and Technology, 146, 67-75. https://doi.org/10.4028/p-lbud8y DOI: https://doi.org/10.4028/p-LBud8y
Rhodes, O., Rostami, A., Khodadadyan, A., & Dunne, S. (2022). Response strategies of uk construction contractors to covid-19 in the consideration of new projects. Buildings, 12(7), 946. https://doi.org/10.3390/buildings12070946 DOI: https://doi.org/10.3390/buildings12070946
Safari, A., Ismail, V., Parast, M., Gölgeci, İ., & Pokharel, S. (2023). Supply chain risk and resilience in startups, smes, and large enterprises: a systematic review and directions for research. The International Journal of Logistics Management, 35(2), 680-709. https://doi.org/10.1108/ijlm-10-2022-0422 DOI: https://doi.org/10.1108/IJLM-10-2022-0422
Schutte, F., Niemann, W., & Kotzé, T. (2019). Post-shipment financial flows in supply chains: a study of small- to medium-sized enterprise importers. Journal of Transport and Supply Chain Management, 13. https://doi.org/10.4102/jtscm.v13i0.452 DOI: https://doi.org/10.4102/jtscm.v13i0.452
Seuring, S., Brandenburg, M., Sauer, P., Schünemann, D., Warasthe, R., Aman, S., … & Khalid, R. (2022). Comparing regions globally: impacts of covid-19 on supply chains – a delphi study. International Journal of Operations & Production Management, 42(8), 1077-1108. https://doi.org/10.1108/ijopm-10-2021-0675 DOI: https://doi.org/10.1108/IJOPM-10-2021-0675
Sigala, I., Sirenko, M., Comes, T., & Kovács, G. (2022). Mitigating personal protective equipment (ppe) supply chain disruptions in pandemics – a system dynamics approach. International Journal of Operations & Production Management, 42(13), 128-154. https://doi.org/10.1108/ijopm-09-2021-0608 DOI: https://doi.org/10.1108/IJOPM-09-2021-0608
Sim, M., Lee, J., Kim, Y., & Lee, C. (2024). Resilient responses to global supply chain disruptions: focusing on the stock price of global logistics companies. Applied Sciences, 14(23), 11256. https://doi.org/10.3390/app142311256 DOI: https://doi.org/10.3390/app142311256
Sun, J., Wang, H., & Cui, Z. (2023). Alleviating the bauxite maritime supply chain risks through resilient strategies: qfd-mcdm with intuitionistic fuzzy decision approach. Sustainability, 15(10), 8244. https://doi.org/10.3390/su15108244 DOI: https://doi.org/10.3390/su15108244
Um, J. and 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. https://doi.org/10.1108/scm-06-2020-0248 DOI: https://doi.org/10.1108/SCM-06-2020-0248
Völlers, P., Neise, T., Verfürth, P., Franz, M., Bücken, F., & Schumacher, K. (2023). Revisiting risk in the global production network approach 2.0 - towards a performative risk narrative perspective. Environment and Planning A: Economy and Space, 55(8), 1838-1858. https://doi.org/10.1177/0308518x231169288 DOI: https://doi.org/10.1177/0308518X231169288
Wiedmer, R., Polyviou, M., & Paraskevas, J. (2023). Does global supply chain integration payoff? the case of maritime shipping firms. Journal of Business Logistics, 45(1). https://doi.org/10.1111/jbl.12350 DOI: https://doi.org/10.1111/jbl.12350
Wu, K., Yan, B., Ren, M., Tseng, M., Wáng, Q., & Chiu, A. (2022). Reconfiguring a hierarchical supply chain model under pandemic using text mining and social media analysis. Industrial Management & Data Systems, 122(3), 622-644. https://doi.org/10.1108/imds-06-2021-0358 DOI: https://doi.org/10.1108/IMDS-06-2021-0358
Xu, X., Sethi, S., Chung, S., & Choi, T. (2023). Reforming global supply chain management under pandemics: the great‐3rs framework. Production and Operations Management, 32(2), 524-546. https://doi.org/10.1111/poms.13885 DOI: https://doi.org/10.1111/poms.13885
Xu, Z., Elomri, A., Kerbache, L., & Omri, A. (2020). Impacts of covid-19 on global supply chains: facts and perspectives. IEEE Engineering Management Review, 48(3), 153-166. https://doi.org/10.1109/emr.2020.3018420 DOI: https://doi.org/10.1109/EMR.2020.3018420
Yalçın, S. and Ayyıldız, E. (2024). Prioritizing vulnerability factors of global food supply chains by fermatean fuzzy analytical hierarchy process. Foundations of Computing and Decision Sciences, 49(3), 303-320. https://doi.org/10.2478/fcds-2024-0016 DOI: https://doi.org/10.2478/fcds-2024-0016

