Rodyti trumpą aprašą

dc.contributor.authorUlutaş, Alptekin
dc.contributor.authorMeidutė-Kavaliauskienė, Ieva
dc.contributor.authorTopal, Ayşe
dc.contributor.authorDemir, Ezgi
dc.date.accessioned2023-09-18T16:09:37Z
dc.date.available2023-09-18T16:09:37Z
dc.date.issued2021
dc.identifier.issn2305-6290
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/111945
dc.description.abstractBackground: Uncertainty is the major source of hazards, and it is present in a wide range of business activities. Due to the high level of unpredictability in logistics operations, the logistics sector has traditionally operated in a high-risk environment. These risks have become considerably more complicated as the corporate environment has changed in recent years, such as globalization, environmental concerns, and changes in demand. As a result, in order for a logistics firm to thrive, it is necessary to evaluate and assess the risks associated with logistics. Methods: The Plithogenic Stepwise Weight Assessment Ratio Analysis (SWARA) has been used in this study to assess the logistics risks. The logistics risk considered in this study is transportation-related risks, purchasing-related risks, inventory-related risks, information-related risks, packaging-related risks, operational-related risks, geographical location-related risks, natural disaster-related risks, and organization-related risks. Results: The most significant logistics risk is found as inventory-related Risks and the least significant one as Geographical Location-Related Risks. When compared to the standard SWARA approach, the Plithogenic SWARA method may be employed in group decision-making issues without losing information. Conclusion: The proposed technique will help logistics professionals make informed decisions and manage and analyze risks more efficiently. This study will also contribute to the literature as it is the first time that logistical risks have been addressed by utilizing the Plithogenic SWARA technique.eng
dc.formatPDF
dc.format.extentp. 1-14
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyEmerging Sources Citation Index (Web of Science)
dc.relation.isreferencedbyGale's Academic OneFile
dc.relation.isreferencedbyJ-Gate
dc.relation.isreferencedbyEconBiz
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.mdpi.com/2305-6290/5/4/82/htm
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:110825354/datastreams/MAIN/content
dc.titleAssessment of collaboration-based and non-collaboration-based logistics risks with plithogenic SWARA method
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references84
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionSivas Cumhuriyet University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionNiğde Ömer Halisdemir University
dc.contributor.institutionGebze Technical University
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.studydirectionL02 - Vadyba / Management studies
dc.subject.vgtuprioritizedfieldsEV03 - Dinamiškoji vadyba / Dynamic Management
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enlogistics risks
dc.subject.enMCDM
dc.subject.enplithogenic SWARA
dcterms.sourcetitleLogistics: Special issue: Logistics cooperation: Integrated logistics services
dc.description.issueiss. 4
dc.description.volumevol. 5
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000738409900001
dc.identifier.doi10.3390/logistics5040082
dc.identifier.elaba110825354


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