An analysis of the logistics performance index of EU countries with an integrated MCDM model
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DOI: 10.18559/ebr.2019.4.3
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References listed on IDEAS
- Luisa Mart𓐊Author-X-Name-First: Luisa & Leandro Garc𨀍, 2014. "The importance of the Logistics Performance Index in international trade," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2982-2992, August.
- Edmundas Kazimieras Zavadskas & Valentinas Podvezko, 2016. "Integrated Determination of Objective Criteria Weights in MCDM," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 267-283, March.
- 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.
- Luisa Martí & Juan Carlos Martín & Rosa Puertas, 2017. "A DEA-logistics performance index," Journal of Applied Economics, Universidad del CEMA, vol. 20, pages 169-192, May.
- Rajesh Kr. Singh & Angappa Gunasekaran & Pravin Kumar, 2018. "Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach," Annals of Operations Research, Springer, vol. 267(1), pages 531-553, August.
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More about this item
Keywords
CRITIC; SWARA; PIV; MCDM; LPI; logistics; performance;All these keywords.
JEL classification:
- M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
- M19 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Other
- C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
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