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      Hybrid MCDM Solutions for Evaluation of the Logistics Performance Index of the Western Balkan Countries

      1 , 1 , 1 , 2
      ECONOMICS
      Walter de Gruyter GmbH

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          Abstract

          The Logistics Performance Index (LPI) performed by the World Bank is an indicator of the logistics environment quality of a country in which logistics operators act. The LPI is an interactive tool designed to help countries identify challenges, innovative solutions, and opportunities they face in their work in the field of trade and logistics. The aim of this paper is to conduct a comparative analysis and ranking of the LPI of the countries in the Western Balkans (Bosnia and Herzegovina, North Macedonia, Albania, Serbia and Montenegro), calculated by the World Bank for 2018, using an integrated Criteria Importance Through Intercriteria Correlation (CRITIC)-Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) model and thus show the real picture of the logistics environment. In order to determine the performance of countries and show the overall logistics performance, six key dimensions are used: customs, infrastructure, international transport, logistics capability, tracking and tracing of goods and shipment delivery within scheduled or expected times. Using the CRITIC method, the weight values of the previously mentioned six criteria were calculated, whereby the criterion related to shipment delivery within scheduled times was singled out as the most significant criterion. Then, by applying the MARCOS method, the countries of the Western Balkans were ranked on the basis of the six defined criteria. Based on the results obtained, the best-ranked country is Serbia. The analysis of the sensitivity of the results to changes in the significance of the criteria does not show significant changes in the ranking.

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          Determining objective weights in multiple criteria problems: The critic method

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            Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)

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              A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company

              The application of different evaluation approaches in logistics requires considering many factors with different significance for making the final decision. Multi-criteria decision-making (MCDM) methods are often applied in logistics to create different strategies and evaluations. In this paper, research has been carried out in a transport system of an international transport company. An MCDM model has been created for the purpose of human resource evaluation, on which the overall efficiency of the company depends. A total of 23 drivers were evaluated on the basis of five crucial criteria in order to increase employees’ motivation through their periodic remuneration. The Full Consistency Method (FUCOM) was applied to determine the significance of the criteria, while the evaluation of potential solutions was performed using Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). After the results had been obtained, the created model was validated throughout comparisons with seven other MCDM methods.
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                Author and article information

                Journal
                ECONOMICS
                Walter de Gruyter GmbH
                2303-5013
                June 01 2022
                July 04 2022
                June 01 2022
                June 01 2022
                July 04 2022
                June 01 2022
                : 10
                : 1
                : 13-34
                Affiliations
                [1 ]University of East Sarajevo , Faculty of Transport and Traffic Engineering , Doboj , Bosnia and Herzegovina
                [2 ]University of East Sarajevo , Faculty of Business Economics , Bijeljina , Bosnia and Herzegovina
                Article
                10.2478/eoik-2022-0004
                f8538d13-36f8-480c-aa31-f991b694a70b
                © 2022

                http://creativecommons.org/licenses/by-nc-nd/4.0

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