Supplier Risk in Supply Chain Risk Management: An Updated Conceptual Framework
Disruptions in a single supplier’s operations can trigger cascading effects across the entire supply chain, highlighting the critical importance of effective supplier-focused risk management. While supply chain risk management (SCRM) frameworks encompass diverse dimensions—such as supply, products,...
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MDPI AG
2025-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/13/7128 |
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| author | Ciro Rodrigues dos Santos Ualison Rébula de Oliveira Vicente Aprigliano |
| author_facet | Ciro Rodrigues dos Santos Ualison Rébula de Oliveira Vicente Aprigliano |
| author_sort | Ciro Rodrigues dos Santos |
| collection | DOAJ |
| description | Disruptions in a single supplier’s operations can trigger cascading effects across the entire supply chain, highlighting the critical importance of effective supplier-focused risk management. While supply chain risk management (SCRM) frameworks encompass diverse dimensions—such as supply, products, demand, and information—risks specifically related to suppliers demand tailored strategies and analytical focus. Despite the growing volume of publications on this topic, the literature still lacks updated conceptual guidance on how to manage these risks, particularly in light of emerging challenges and practices. This study addresses this gap, with the primary objective of developing a contemporary conceptual framework for supplier risk management, reflecting recent academic and practical advances. The research methodology combines bibliometric analysis, the PRISMA systematic review protocol, and visualization tools including CiteSpace and CitNet Explorer. Key findings include the evolution of thematic clusters over time, with “supplier selection” identified as the most dominant theme, and simulation as the prevailing research method. The automotive industry emerges as the most frequently studied empirical context. Moreover, the study expands existing frameworks by introducing two emerging dimensions—environmental, social, and governance (ESG) and information technology (IT)—as key factors in supplier risk management. This framework contributes to theory and practice by offering an updated lens for understanding supplier-related risks and providing decision-makers with structured insights to enhance resilience in complex supply networks. |
| format | Article |
| id | doaj-art-5d0d491cd0184f90ab22b059422ac292 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-5d0d491cd0184f90ab22b059422ac2922025-08-20T03:28:29ZengMDPI AGApplied Sciences2076-34172025-06-011513712810.3390/app15137128Supplier Risk in Supply Chain Risk Management: An Updated Conceptual FrameworkCiro Rodrigues dos Santos0Ualison Rébula de Oliveira1Vicente Aprigliano2Programa de Pós Graduação em Administração, Universidade Federal Fluminense, Volta Redonda Campus, Volta Redonda 27213-145, BrazilPrograma de Pós Graduação em Administração, Universidade Federal Fluminense, Volta Redonda Campus, Volta Redonda 27213-145, BrazilEscuela de Ingeniería de Construcción y Transporte, Pontificia Universidad Católica de Valparaíso, Valparaíso 2362804, ChileDisruptions in a single supplier’s operations can trigger cascading effects across the entire supply chain, highlighting the critical importance of effective supplier-focused risk management. While supply chain risk management (SCRM) frameworks encompass diverse dimensions—such as supply, products, demand, and information—risks specifically related to suppliers demand tailored strategies and analytical focus. Despite the growing volume of publications on this topic, the literature still lacks updated conceptual guidance on how to manage these risks, particularly in light of emerging challenges and practices. This study addresses this gap, with the primary objective of developing a contemporary conceptual framework for supplier risk management, reflecting recent academic and practical advances. The research methodology combines bibliometric analysis, the PRISMA systematic review protocol, and visualization tools including CiteSpace and CitNet Explorer. Key findings include the evolution of thematic clusters over time, with “supplier selection” identified as the most dominant theme, and simulation as the prevailing research method. The automotive industry emerges as the most frequently studied empirical context. Moreover, the study expands existing frameworks by introducing two emerging dimensions—environmental, social, and governance (ESG) and information technology (IT)—as key factors in supplier risk management. This framework contributes to theory and practice by offering an updated lens for understanding supplier-related risks and providing decision-makers with structured insights to enhance resilience in complex supply networks.https://www.mdpi.com/2076-3417/15/13/7128supply chain risk managementsupplier managementsupplier selectionSCRMbibliometric analysissystematic literature review |
| spellingShingle | Ciro Rodrigues dos Santos Ualison Rébula de Oliveira Vicente Aprigliano Supplier Risk in Supply Chain Risk Management: An Updated Conceptual Framework Applied Sciences supply chain risk management supplier management supplier selection SCRM bibliometric analysis systematic literature review |
| title | Supplier Risk in Supply Chain Risk Management: An Updated Conceptual Framework |
| title_full | Supplier Risk in Supply Chain Risk Management: An Updated Conceptual Framework |
| title_fullStr | Supplier Risk in Supply Chain Risk Management: An Updated Conceptual Framework |
| title_full_unstemmed | Supplier Risk in Supply Chain Risk Management: An Updated Conceptual Framework |
| title_short | Supplier Risk in Supply Chain Risk Management: An Updated Conceptual Framework |
| title_sort | supplier risk in supply chain risk management an updated conceptual framework |
| topic | supply chain risk management supplier management supplier selection SCRM bibliometric analysis systematic literature review |
| url | https://www.mdpi.com/2076-3417/15/13/7128 |
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