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dc.contributor.authorGonzález Zapatero Redondo, Carmen 
dc.contributor.authorGonzález Benito, Javier 
dc.contributor.authorSon, Byung-Gak
dc.contributor.authorHillmer, Canan Kocabasoglu
dc.date.accessioned2026-01-20T13:22:47Z
dc.date.available2026-01-20T13:22:47Z
dc.date.issued2025
dc.identifier.citationGonzalez-Zapatero, C., Gonzalez-Benito, J., Son, B.-G., & Hillmer, C. K. (2025). Risk Mitigation Deficit Measure to Control Risks in Supply Chains: An SMEs Perspective. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2025.3646968es_ES
dc.identifier.issn0018-9391
dc.identifier.urihttp://hdl.handle.net/10366/169071
dc.description.abstract[[EN] The misalignment between the external risks a company faces, such as natural disasters or macroeconomic shocks, and the supply chain risk mitigation efforts it undertakes has received limited attention, particularly from the perspective of small and medium-sized enterprises (SMEs). Using contingency theory as a theoretical underpinning, this research introduces a novel fit measure, the risk mitigation deficit (RMD), to capture this misalignment. It then examines the impact of RMD on operational risk (OR), which refers to the failure of the supply chain to achieve key objectives such as cost efficiency, quality, and sustainability. SMEs face unique challenges, as risk mitigation efforts are resource-intensive, requiring careful alignment of mitigation measures with risk exposure. This study contributes by analyzing data from 213 SMEs in the Spanish agri-food supply chain. The results suggest that both upstream and in-house RMD positively influence output OR, while downstream RMD shows no such relationship. Similarly, upstream RMD does not appear to influence input OR. A robustness test examining the effect of mere risk mitigation effort (RME) on OR confirmed that RMD possesses explanatory power over OR that RME alone does not. These findings underscore that a one-size-fits-all approach to supply chain risk management (SCRM) is ineffective, especially for resource-constrained SMEs. Instead, tailored, context-specific solutions are needed to help SMEs efficiently balance risk profiles and mitigation efforts.es_ES
dc.description.sponsorshipThis paper has been developed within the framework of Grant PID2022-136496NB-I00, funded by the Spanish Ministry of Science and Innovation (MCIN), the State Research Agency (AEI/10.13039/501100011033), and the European Union. Additional financial support was provided by the Department of Education of the Junta de Castilla y León and the European Regional Development Fund (FEDER) under Grants CLU-2025-2-03 and SA070G24.es_ES
dc.language.isoenges_ES
dc.publisherIEEE Xplorees_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFit analysises_ES
dc.subjectProfile deviationes_ES
dc.subjectRisk assessmentes_ES
dc.subjectRisk mitigationes_ES
dc.subjectSupply chain risk managementes_ES
dc.titleRisk Mitigation Deficit Measure to Control Risks in Supply Chains: An SMEs Perspectivees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://ieeexplore.ieee.org/document/11316280es_ES
dc.subject.unesco5311 Organización y Dirección de Empresases_ES
dc.identifier.doi10.1109/TEM.2025.3646968
dc.relation.projectIDPID2022-136496NB-I00es_ES
dc.relation.projectIDAEI/10.13039/501100011033es_ES
dc.relation.projectIDCLU-2025-2-03 and SA070G24es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.essn1558-0040
dc.journal.titleIEEE Transactions on Engineering Managementes_ES
dc.page.initial1es_ES
dc.page.final14es_ES
dc.type.hasVersioninfo:eu-repo/semantics/draftes_ES


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