AN ANALYSIS OF THE LOGISTICS PERFORMANCE INDEX OF EU COUNTRIES WITH AN INTEGRATED MCDM MODEL
AN ANALYSIS OF THE LOGISTICS PERFORMANCE INDEX OF EU COUNTRIES WITH AN INTEGRATED MCDM MODEL

Summary/Abstract: Countries can check the performance of their logistics’ activities to determinetheir competitiveness in trade logistics. One way to check these performancesis to analyze the country’s LPI value in detail which is released by the WB every twoyears. When calculating the LPI, six indicators (criteria) are taken into account. Theweights (importance level) of these criteria are important for countries which wouldlike to focus more on the most important criteria and move their ranking up in theLPI list. However the WB takes into account indicators (criteria) weights equally whencalculating LPI values. In order to overcome this problem some studies have used subjectiveweighting methods and others have used objective weighting methods. Bothmethods have advantages and disadvantages. The aim of this study is to integrate twoweighting methods (subjective (SWARA) and objective (CRITIC)) in determining theweights of criteria in order to balance the two weighting methods. Unlike other studiesin the literature this study combines two weighting methods. Additionally the PIVmethod, which is seldom used to address any MCDM problem, is used in this studyand a new integrated MCDM model is introduced to literature. In this respect thisstudy contributes to the literature.

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