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An intuitive fuzzy approach for evaluating financial resiliency of supply chain

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Abstract

Since the financial crisis of 2008, financial resiliency has gradually become a crucial tools employed by supply chains worldwide to resist external risks and shocks. Risks and shocks sometimes creating a turbulent environment can vary in intensity and frequency and may be attributed to a system's internal or external factors. Resilience is defined as the capacity to withstand risks that are more significant, rapid recovery after risks, and reduced degradation by virtue of a certain number of hazards. Financial resiliency focuses on how an organization efficiently deploys the remaining financial resources and invests in maintenance and reconstruction strategies to accelerate the recovery process. This study aims to identify and classify the criteria for measuring supply chain financial resilience using the hybrid Fuzzy Delphi Method (FDM) and intuitive fuzzy DEMATEL technique with interval values (IVIF-DEMATEL). For this purpose, by reviewing the literature, 29 criteria of supply chain financial resiliency were identified, and after screening by FDM, 12 criteria were finalized. In the next step, the desired criteria were classified into two  category, and the importance of each was determined.

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Data availability

The data that support the findings of this study are available from the corresponding author, upon reasonable request.

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Acknowledgements

The authors wish to express their gratitude to the esteemed reviewers for their valuable comments in improving the quality of this research work.

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Authors and Affiliations

  1. Department of Industrial Management, University of Tehran, Tehran, Iran

    Iman Ghasemian Sahebi & Seyed Pendar Toufighi

  2. Department of Accounting and Auditing, Istanbul Commerce University, Istanbul, Turkey

    Gencay Karakaya

  3. Department of Production Management, University of Sakarya, Sakarya, Turkey

    Shahryar Ghorbani

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  1. Iman Ghasemian Sahebi
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  2. Seyed Pendar Toufighi
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IGS performed material preparation, data collection and analysis. SPT wrote the first draft of the manuscript. GK and SG verified the analytical methods and editing the final version. All authors provided critical feedback and helped shape the research, analysis and manuscript. All authors read and approved the final manuscript.

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Correspondence to Seyed Pendar Toufighi.

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Sahebi, I.G., Toufighi, S.P., Karakaya, G. et al. An intuitive fuzzy approach for evaluating financial resiliency of supply chain. OPSEARCH 59, 460–481 (2022). https://doi.org/10.1007/s12597-021-00563-z

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