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      A framework for understanding the path to achieve high resilience of maritime supply chain

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          Abstract

          In recent years, a significant rise in international sudden risk events has resulted in impacts and disruptions to maritime supply chains (MSC). The resilience of maritime supply chains has garnered attention from the academic, industrial, and government sectors. The paper proposes a methodological framework based on the structural equation model (SEM), Necessary Condition Analysis (NCA), fuzzy set qualitative comparative analysis (fsQCA), and utilizes questionnaire data from the maritime industry in China to evaluate the resilience in MSC. The computational results indicate that: (1) The high resilience of MSC is the result of the synergistic interaction among multiple factors, and these factors boost MSC resilience through diverse paths; (2) There are four pathways for high MSC resilience: the ‘collaboration + carbon reduction + digitization’ path, the ‘early warning + collaboration’ path, the ‘agility + early warning’ path, and the ‘carbon reduction’ path; (3) Digitization level can play a catalytic role in increasing the resilience of MSC by helping other factors. This paper reveals the multiple routes to enhance the resilience of MSC, which can instruct MSC members to choose the correct resilience management strategies based on their existing resources and situations and can help both practitioners and researchers to understand in more detail of the various dimensions and nuances of resilience in the context of MSC.

          Supplementary Information

          The online version contains supplementary material available at 10.1038/s41598-025-86906-y.

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                Author and article information

                Contributors
                chuliangyong@163.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                20 January 2025
                20 January 2025
                2025
                : 15
                : 2472
                Affiliations
                [1 ]College of Navigation, Jimei University, ( https://ror.org/03hknyb50) Xiamen, 361021 Fujian China
                [2 ]Fujian Shipping Research Institute, Xiamen, 361021 China
                Article
                86906
                10.1038/s41598-025-86906-y
                11746985
                39833261
                18dbdb6d-675f-476e-9c55-2b8744e787f6
                © The Author(s) 2025

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

                History
                : 28 August 2024
                : 14 January 2025
                Funding
                Funded by: National Social Science Fund of China
                Award ID: 24BGL282
                Award ID: 24BGL282
                Award ID: 24BGL282
                Award ID: 24BGL282
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2025

                Uncategorized
                maritime supply chain resilience,configuration perspective,structural equation model,necessary condition analysis,fuzzy set qualitative comparative analysis,statistics,ocean sciences

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