A Novel Approach for the Assessment of Logistics Performance Index of EU Countries

被引:4
|
作者
Ju, Mali [2 ,3 ]
Mirovic, Ivan [4 ]
Petrovic, Vesna [4 ]
Erceg, Zivko [5 ]
Stevic, Zeljko [1 ]
机构
[1] Korea Univ, Sch Ind Management Engn, Seoul, South Korea
[2] Shihezi Univ, Sch Econ & Management, Shihezi, Peoples R China
[3] West Anhui Univ, Econ & Management Coll, Luan, Peoples R China
[4] Univ East Sarajevo, Fac Business Econ, Bijeljina, Bosnia & Herceg
[5] Univ East Sarajevo, Fac Transport & Traff Engn, Doboj, Bosnia & Herceg
关键词
logistics performance index; Fuzzy ROV method; EU; logistics; AGGREGATION;
D O I
10.1515/econ-2022-0074
中图分类号
F [经济];
学科分类号
02 ;
摘要
The impact of logistics performance in the era of sustainable mobility on the overall economic development of a country is inevitable. It can even be said to represent an extremely important component in identifying economic conditions and provides the possibility of defining adequate strategies. In this article, the evaluation of the member countries of the European Union was carried out on the basis of the logistics performance index (LPI) according to the latest report of the World Bank (WB). A unique and original Multiple-Criteria Decision Making (MCDM) approach has been created, and it involves the application of four methods: Criteria Importance Through Intercriteria Correlation, Method based on the Removal Effects of Criteria, and Entropy and Fuzzy ROV (Range of Value). The weighting coefficients of six factors were obtained with the first three methods in crisp form, so they were converted into Triangular Fuzzy Number. The Fuzzy ROV method has been created for the first time in the literature and represents a great contribution from the methodological aspect. The results of the developed model and the applied steps show that there are certain differences in the rankings compared to the World Bank report, with a note that the best-ranked countries have maintained their positions. In addition, verification tests of the originally obtained results were created, with an emphasis on the importance of evaluation parameter values and their impact on the LPI ranking.
引用
收藏
页数:15
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