Supply chain risks and mitigation strategies in Turkey automotive industry: findings from a mixed-method approach

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dc.authoridCIKMAK, Sinan/0000-0002-4704-3409
dc.authoridungan, mustafa/0000-0003-2041-1344
dc.contributor.authorÇıkmak, Sinan
dc.contributor.authorUngan, Mustafa Cahit
dc.date.accessioned2023-07-26T11:59:11Z
dc.date.available2023-07-26T11:59:11Z
dc.date.issued2022
dc.departmentDÜ, Akçakoca Meslek Yüksekokulu, Yönetim ve Organizasyon Bölümüen_US
dc.description.abstractThis research aims to develop an assessment model to determine appropriate risk mitigation strategies for the automotive supply chain risks. A two-phased mixed-method approach is adapted, whereas a quantitative one follows qualitative research. Data were collected from 20 supply chain experts of 15 different automotive companies in Turkey. Interviews were conducted with supply chain experts to identify the risks, risk mitigation strategies, and probabilities. Then, a Bayesian network model was created to determine the probabilities of risks and risk mitigation strategies. Scenario and sensitivity analyses were performed to assess the robustness of the model. Operational risk, on the other hand, is ranked the last. Collaboration and flexible transport emerged as the most effective risk mitigation strategies to deal with supply chain risks. This study is expected to contribute significantly to the literature as it is the first to address the risks, risk factors, and risk mitigation strategies in the automotive sector using Bayesian networks.en_US
dc.identifier.doi10.1080/16258312.2022.2060694
dc.identifier.issn1625-8312
dc.identifier.issn1624-6039
dc.identifier.scopus2-s2.0-85129167451en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1080/16258312.2022.2060694
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13651
dc.identifier.wosWOS:000782702700001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÇıkmak, Sinan
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofSupply Chain Forumen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectSupply Chain Risks; Supply Chain Risk Mitigation Strategies; Automotive Industry; Bayesian Networksen_US
dc.subjectBayesian-Belief-Network; Scale Development; Management; Model; Performance; Flexibility; Collaboration; Integration; Dimensions; Selectionen_US
dc.titleSupply chain risks and mitigation strategies in Turkey automotive industry: findings from a mixed-method approachen_US
dc.typeArticleen_US

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