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Symmetry: Culture and Science
Volume 33, Number 4, pages 387-408 (2022)
 https://doi.org/10.26830/symmetry_2022_4_387

DETERMINATION OF LOGISTICS INNOVATION PERFORMANCE INDEX WITH ENTROPY AND COMBINED COMPROMISE SOLUTION TECHNIQUES

Karahan Kara1* Galip Cihan Yalçın2 Esra Gökçen Kaygısız3

1 Artvin Çoruh University, Hopa Vocational School, Logistics Program, Lise Street, Hopa, Artvin, PC 08300. Turkey.
Email: karahan.kara@artvin.edu.tr
ORCID: 0000-0001-9348-0709

2 Kırıkkale University, Institute of Science and Technology, Campus, Kırıkkale, PC 71050.Turkey.
Email: pgcy2014@gmail.com
Web: http://shbostanci.cv.nku.edu.tr/
ORCID: 0000-0001-9348-0709

3 Giresun University, Department of Business and Management, Gaziler, Giresun, PC 28200.Turkey.
Email: esra.kaygisiz@giresun.edu.tr
ORCID: 0000-0002-4950-9508

* corresponding author

Abstract: Logistics innovation performance is the resultant force of countries' logistics and innovation performance. Indices show the logistics performance and innovation performance of countries. However, the countries' logistics innovation performance index (LIPI) has not yet developed. The primary purpose of this research is to create the LIPI of developing countries for 2021. The global innovation index (GII) and Agility Emerging Market Logistics Index (AEMLI) scores of 48 developing countries were used. Ten criteria of the research have been used. Three criteria (domestic logistics opportunities, international logistics opportunities, business fundamentals) are from AEMLI, and seven criteria (institutions, human capital, research, infrastructure, market sophistication, business sophistication, knowledge and technology outputs, and creative outputs) are from GII. The criteria are weighted using the Entropy technique. The Combined Compromise Solution (CoCoSo) technique is used to determine LIPI scores. As a result of the research, 2021 LIPI scores and rankings of developing countries have been created. Both AEMLI and GII scores have been compared with LIPI scores. In comparison, symmetric and asymmetric rank distributions are presented. In addition, suggestions have been shown to developing countries and researchers based on the implications.

Keywords: Logistics Innovation Performance Index, Developing countries, Symmetric and asymmetric comparison, MCDM, Entropy Technique, CoCoSo Technique.
MSC 2010: 03E20, 03E75.

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