Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach

dc.contributor.author Muruvvet Deniz Sezer
dc.contributor.author Melisa Ozbiltekin-Pala
dc.contributor.author Yigit Kazancoglu
dc.contributor.author Jose Arturo Garza-Reyes
dc.contributor.author Anil Kumar
dc.contributor.author Vikas Kumar
dc.date.accessioned 2025-10-06T17:49:22Z
dc.date.issued 2023
dc.description.abstract Nowadays providing information flow at every phase of a knowledge-based supply chain with technologies has become a vital issue due to rapid population growth globalisation and increases in demand in the supply chain. Knowledge-based supply chains have a critical role in increasing resilience in supply chain processes with emerging technologies. Thus it is necessary to determine the critical factors that increase SC resilience. Therefore this study aims to determine SC resilience improvement factors in knowledge-based supply chains and investigate the importance level of determining factors using the Graph Theory Matrix Approach. The results suggest that the most important supply chain resilience improvement factor is Adaptive Capacity (F3) followed by Product Prioritization (F9) and Flexibility (F1) respectively. This study is expected to benefit managers and policymakers as it provides a better understanding of critical SC resilience improvement factors that play a role in knowledge-based supply chains. In order to increase resilience in the supply chain system thinking and solutions should be encouraged by businesses to increase collaboration with stakeholders. Businesses and governments should provide collaborative long-term solutions for the uncertain environment to ensure a sustainable and resilient environment. © 2023 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1007/s12063-023-00391-y
dc.identifier.issn 19369743, 19369735
dc.identifier.issn 1936-9735
dc.identifier.issn 1936-9743
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162000263&doi=10.1007%2Fs12063-023-00391-y&partnerID=40&md5=03209a9e0013f84dbe7b95de531c5327
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8408
dc.language.iso English
dc.publisher Springer
dc.relation.ispartof Operations Management Research
dc.source Operations Management Research
dc.subject Graph Theory Matrix Approach, Knowledge-based, Resilience, Supply Chain
dc.title Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach
dc.type Article
dspace.entity.type Publication
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.endpage 1230
gdc.description.startpage 1220
gdc.description.volume 16
gdc.identifier.openalex W4381094484
gdc.index.type Scopus
gdc.oaire.accesstype HYBRID
gdc.oaire.diamondjournal false
gdc.oaire.impulse 15.0
gdc.oaire.influence 2.8247478E-9
gdc.oaire.isgreen true
gdc.oaire.keywords knowledge-based supply chain
gdc.oaire.keywords CAH17-01-02 - business studies
gdc.oaire.keywords technology
gdc.oaire.keywords CAH17-01-01 - business and management (non-specific)
gdc.oaire.keywords globalisation
gdc.oaire.keywords CAH17-01-04 - management studies
gdc.oaire.popularity 1.2709442E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
gdc.openalex.fwci 4.4917
gdc.openalex.normalizedpercentile 0.94
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 13
gdc.plumx.crossrefcites 5
gdc.plumx.mendeley 93
gdc.plumx.newscount 1
gdc.plumx.scopuscites 16
oaire.citation.endPage 1230
oaire.citation.startPage 1220
person.identifier.scopus-author-id Sezer- Muruvvet Deniz (57218375408), Ozbiltekin-Pala- Melisa (57222809402), Kazancoglu- Yigit (15848066400), Garza-Reyes- Jose Arturo (35310169200), Kumar- Anil (57001679600), Kumar- Vikas (36835614000)
publicationissue.issueNumber 3
publicationvolume.volumeNumber 16
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relation.isOrgUnitOfPublication.latestForDiscovery ac5ddece-c76d-476d-ab30-e4d3029dee37

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