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

Author

Listed:
  • Ju Mali

    (School of Economics and Management, Shihezi University, Shihezi, China)

  • Mirović Ivan

    (Faculty of Business Economics, University of East Sarajevo, Bijeljina, Bosnia and Herzegovina)

  • Petrović Vesna

    (Faculty of Business Economics, University of East Sarajevo, Bijeljina, Bosnia and Herzegovina)

  • Erceg Živko

    (Faculty of Transport and Traffic Engineering, University of East Sarajevo, Doboj, Bosnia and Herzegovina)

  • Stević Željko

    (School of Industrial Management Engineering, Korea University, Seoul, Korea)

Abstract

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.

Suggested Citation

  • Ju Mali & Mirović Ivan & Petrović Vesna & Erceg Živko & Stević Željko, 2024. "A Novel Approach for the Assessment of Logistics Performance Index of EU Countries," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-15.
    • Handle: RePEc:bpj:econoa:v:18:y:2024:i:1:p:15:n:1020
    DOI: 10.1515/econ-2022-0074
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    References listed on IDEAS

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    1. Ming-Miin Yu & Bo Hsiao, 2016. "Measuring the technology gap and logistics performance of individual countries by using a meta-DEA--AR model," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(1), pages 98-120, January.
    2. Bahadir Fatih Yildirim & Burcu Adiguzel Mercangoz, 2020. "Evaluating the logistics performance of OECD countries by using fuzzy AHP and ARAS-G," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 27-45, March.
    3. Amrita Jhawar & S.K. Garg & Shikha N. Khera, 2017. "Improving logistics performance through investments and policy intervention: a causal loop model," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 20(3), pages 363-391.
    4. Rezaei, Jafar & van Roekel, Wilco S. & Tavasszy, Lori, 2018. "Measuring the relative importance of the logistics performance index indicators using Best Worst Method," Transport Policy, Elsevier, vol. 68(C), pages 158-169.
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