Yigit KazancogluMuruvvet Deniz SezerMelisa Ozbiltekin-PalaÇisem LafciP. R.S. SarmaOzbiltekin-Pala, MelisaSezer, Muruvvet DenizLafci, CisemKazancoglu, YigitSarma, P. R. S.2025-10-06202413675567, 1469848X1367-55671469-848X10.1080/13675567.2021.20037622-s2.0-85119326545https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119326545&doi=10.1080%2F13675567.2021.2003762&partnerID=40&md5=69e98710bca4fd0d89bae362365474fehttps://gcris.yasar.edu.tr/handle/123456789/8357https://doi.org/10.1080/13675567.2021.2003762The COVID-19 outbreak has revealed weaknesses in the supply chains (SCs) and how easily it can be influenced by these disruptions. Food supply chains (FSCs) is one of the most affected SCs and it needs to be more resilient against SC disruptions because their vulnerable structure such as having perishable products. Therefore this article aims to uncover the need for resilience in FSCs during the COVID-19 outbreak. For this purpose the enablers of resilience on FSCs are determined after a detailed examination of the current literature. Then the graph theory matrix approach has been used to reveal the relationships between these enablers and investigate importance of enablers of resilience in FSCs during COVID-19 outbreak. It is significant to determine preference of enablers and rank of importance to take actions effectively. Depending on the results the rank orders of the enablers are classified as readiness collaboration with stakeholders IT alignment risk aware responsiveness flexibility appearance and sustainability respectively. Suggested implications can be provided benefits for policymakers and managers in FSCs. © 2024 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessCovid-19 Outbreak, Enablers, Food Supply Chain, Graph Theory Matrix Approach, ResilienceCOVID-19 OutbreakFood Supply ChainGraph Theory Matrix ApproachResilienceEnablersArticle