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Evaluation of Supply Chain Resilience in N-11 Countries by MEREC Based EDAS, MARCOS, WASPAS Integrated Method

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  • Zafer DURAN

    (Department of Management and Organization, School of Gazipaşa Mustafa Rahmi Büyükballı Vocational, Alanya Alaaddin Keykubat University, Antalya, Türkiye)

Abstract

Supply chain resilience is an important factor in ensuring the growth and development of economies, as well as profitable operations in businesses. Because, unstable supply chains can cause an increase in operational costs, loss of workforce, and a decrease in economic mobility as a result of possible disruptions. In this study, supply chain resilience was evaluated consider-ing the potential of N-11 countries. The Global Resilience Index data published by FM Global was used in the evaluation process, and the weights of the indicators related to the resilience of the supply chain were determined by the MEREC method. The relative rankings of the coun-tries were then determined by the EDAS, MARCOS, and WASPAS methods. The resulting rankings were combined with the BORDA counting method to form the final rankings for supply chain resilience of N-11 countries. The focus on the subject and the methods used have given the research a unique identity. As a result of the calculations, Supply Chain Visibility and Corporate Governance indicators stand out as the most important indicators affecting supply chain resilience in N-11 countries, while South Korea and Türkiye are the two best countries in terms of supply chain resilience among N-11 countries. Various suggestions were made to researchers and practitioners in line with the findings.

Suggested Citation

  • Zafer DURAN, 2023. "Evaluation of Supply Chain Resilience in N-11 Countries by MEREC Based EDAS, MARCOS, WASPAS Integrated Method," Yildiz Social Science Review, Yildiz Technical University, vol. 9(1), pages 1-15.
    • Handle: RePEc:aye:journl:v:9:y:2023:i:1:p:1-15
    DOI: 10.51803/yssr.1246243
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    References listed on IDEAS

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    1. Alireza Alinezhad & Javad Khalili, 2019. "New Methods and Applications in Multiple Attribute Decision Making (MADM)," International Series in Operations Research and Management Science, Springer, number 978-3-030-15009-9, June.
    2. Chih-Hung Hsu & Ming-Ge Li & Ting-Yi Zhang & An-Yuan Chang & Shu-Zhen Shangguan & Wan-Ling Liu, 2022. "Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework," Mathematics, MDPI, vol. 10(8), pages 1-35, April.
    3. Shima Lashgari & Jurgita Antuchevičienė & Alireza Delavari & Omid Kheirkhah, 2014. "Using QSPM and WASPAS methods for determining outsourcing strategies," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(4), pages 729-743, September.
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    Keywords

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    JEL classification:

    • F00 - International Economics - - General - - - General
    • F30 - International Economics - - International Finance - - - General
    • G00 - Financial Economics - - General - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • K00 - Law and Economics - - General - - - General (including Data Sources and Description)
    • K20 - Law and Economics - - Regulation and Business Law - - - General
    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General
    • M20 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - General
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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