THE ASSESSMENT OF THE LOGISTICS PERFORMANCE INDEX OF CEE COUNTRIES WITH THE NEW COMBINATION OF SV AND MABAC METHODS

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dc.authoridISIK, Ozcan/0000-0003-2230-8738
dc.contributor.authorIsik, Ozcan
dc.contributor.authorAydin, Yuksel
dc.contributor.authorKosaroglu, S. Merve
dc.date.accessioned2024-10-26T18:02:05Z
dc.date.available2024-10-26T18:02:05Z
dc.date.issued2020
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractBackground: The increase in global trade has caused logistics activities to be an important tool in providing strategic competitive advantage on a global scale. The logistics industry, which helps to facilitate the activities related to the movement of goods in the supply chain, is one of the fastest-growing sectors and has important effects on the economic performance of the countries. Measuring and evaluating the logistics performance of countries can enable them to reach their goals of achieving sustainable competitive advantage by revealing the strengths and weaknesses of logistics services in the entire supply chain. In this regard, the purpose of this study is to analyze and rank logistics performance in terms of selected 11 Central and Eastern European Countries (CEECs). Methods: In this study, the SV (Statistical Variance) and the MABAC (Multi-Attributive Border Approximation area Comparison) methods are used to form a decision-making model in evaluating the logistic performance. In logistics performance evaluation, the SV method is used to weight the selected performance criteria, whereas the MABAC method is employed to evaluate and rank the logistics performance of CEECs. Results: The results obtained from the SV method demonstrates that timeliness and infrastructure are the most and least significant performance criteria, respectively. According to the performance ranking of the countries by the MABAC method, the countries in the top three rankings are the Czech Republic, Poland and Hungary, respectively. Conclusions: The fact that the ranking of the proposed hybrid model is the same as the original logistics performance index (LPI) ranking of the selected countries suggests that the proposed model is consistent.
dc.identifier.doi10.17270/J.LOG.2020.504
dc.identifier.endpage559
dc.identifier.issn1895-2038
dc.identifier.issn1734-459X
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85091300069
dc.identifier.scopusqualityQ2
dc.identifier.startpage549
dc.identifier.urihttps://doi.org/10.17270/J.LOG.2020.504
dc.identifier.urihttps://hdl.handle.net/20.500.12418/27942
dc.identifier.volume16
dc.identifier.wosWOS:000574455200006
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPoznan Sch Logistics
dc.relation.ispartofLogforum
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSV
dc.subjectMABAC
dc.subjectLogistics Performance
dc.subjectCEECs
dc.subjectMulti Criteria Decision Making
dc.titleTHE ASSESSMENT OF THE LOGISTICS PERFORMANCE INDEX OF CEE COUNTRIES WITH THE NEW COMBINATION OF SV AND MABAC METHODS
dc.typeArticle

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