Volume 20, Issue 1 (3-2025)
J. Mon. Ec. 2025, 20(1): 69-93 |
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Abed R, sargolzaei M, Maghsoud A, Dehghan Dehnavi M A. Evaluation of Supply Chain Finance Strategies under Credit Risk Uncertainty: A Multi-Criteria Decision-Making Approach. J. Mon. Ec. 2025; 20 (1) :69-93
URL: http://jme.mbri.ac.ir/article-1-718-en.html
URL: http://jme.mbri.ac.ir/article-1-718-en.html
1- PhD candidate, Department of Finance and Banking, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran
2- Associate Professor, Department of Finance and Banking, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran
3- Professor, Department of Management of Operations and Information Technology, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran
4- Assistant Professor, Department of Finance and Banking, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran
2- Associate Professor, Department of Finance and Banking, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran
3- Professor, Department of Management of Operations and Information Technology, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran
4- Assistant Professor, Department of Finance and Banking, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran
Abstract: (318 Views)
in today's volatile business environment, selecting an optimal supply chain finance(SCF) strategy under credit risk uncertainty has become a cretical concern for firms-particularly for small and medium-sized enterprises(SMEs).This study aims to evluate and prioritize SCF sterategies by foucusing on credit risk mitigation using a multi-criteria decision-making(MCDM) approach. After identifying key evaluation criteria through expert consultation and Delphi methodology, the Analytic Hierarchy Process(AHP) was employed to assign weights to these criteria. Subsequently, the technique for order preference by similarity to ideal solution(TOPSIS) was used to rank five majore SCF strategies. Finding indicate that fintech-based strategies have highest effectiveness in mitigating credit risk due to features such as enhanced tranparency, felexibility and the ability to transfer risk to thirdparty financial institutions. in contrast, traditional receivable-based financing methods, such as factoring, ranked lowest in effectiveness. the study offers a structured and empirically validated framework for decision-makers aiming to improve financial resilience in supply chains, especially under credit uncertainty.
Keywords: Supply Chain Finance, Credit Risk, AHP, TOPSIS, Fintech, Multi-Criteria Decision Making (MCDM)
Type of Study: Original Research - Empirical |
Subject:
Economics
Received: 26 Jul 2025 | Accepted: 28 Sep 2025 | Published: 5 Oct 2025
Received: 26 Jul 2025 | Accepted: 28 Sep 2025 | Published: 5 Oct 2025
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