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Lojistik Performans Endeksinde Önde Gelen Ülkelerin Dijitalleşme Düzeylerinin Belirlenmesi: CRITIC-TOPSIS Yaklaşımı ile Bir Uygulama

Year 2025, Volume: 59 Issue: 2, 431 - 450, 16.04.2025

Burcu Yılmaz

https://doi.org/10.51551/verimlilik.1541480

Abstract

Amaç: Bu çalışma, 2023 yılı verilerini temel alarak Lojistik Performans Endeksi'nde (LPI) önde gelen ülkelerin dijitalleşme düzeylerinin analiz edilmesini amaçlamaktadır.
Yöntem: Dijitalleşme indeksleri ile ülkelerin lojistik performansları arasındaki ilişkiyi değerlendirmek için altı dijitalleşme endeksi kriterler olarak, LPI’de ön sıralarda yer alan 23 ülke ise alternatifler olarak analize dahil edilmiştir. Çalışmada, kriterleri ağırlıklandırmak için CRITIC yöntemi kullanılmış, karar alternatiflerinin sıralanması ise TOPSIS yöntemiyle gerçekleştirilmiştir.
Bulgular: Araştırmanın bulguları, LPI’de ilk sıralarda yer alan ülkelerin dijitalleşme endekslerinde de yüksek skorlara sahip olduğunu göstermektedir. Kriterlerin önem düzeylerini belirlemek için CRITIC yöntemi kullanılarak yapılan analizde LPI'deki ilk 23 ülke için en önemli üç endeksin önem sırasına göre IDI, WCI ve GII olduğu ortaya koyulmuştur. LPI'de önde gelen ülkelerin dijitalleşme seviyelerine göre TOPSIS yöntemiyle yapılan sıralamadaysa dijitalleşme seviyesi en yüksek ülkelerin sırasıyla Singapur, ABD ve Hollanda olduğu belirlenmiştir.
Özgünlük: Literatürde, bu çalışmada sunulan endeksler temel alınarak LPI sıralamasındaki lider ülkelerin dijitalleşme düzeylerini değerlendiren herhangi bir araştırmaya rastlanmamıştır. Dijital teknolojilerin ülkelerin lojistik performansını etkilemedeki kritik rolü ve LPI ile dijitalleşme endekslerini bütüncül bir bakış açısıyla kapsamlı bir şekilde değerlendiren bir çalışmanın yokluğu göz önüne alındığında, bu araştırmanın mevcut literatüre önemli bir katkı sağlaması beklenmektedir.

Keywords

Lojistik Performans Endeksi Dijitalleşme Çok Kriterli Karar Verme ÇKKV Dijitalleşme Endeksleri

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Determining The Digitalization Levels of Leading Countries in Logistics Performance Index: An Application with CRITIC-TOPSIS Approach

Year 2025, Volume: 59 Issue: 2, 431 - 450, 16.04.2025

Burcu Yılmaz

https://doi.org/10.51551/verimlilik.1541480

Abstract

Purpose: This study aims to analyze the digitalization levels of leading countries in the Logistics Performance Index (LPI) based on 2023 data.
Methodology: Six digitalization indices were utilized as criteria, and the top 23 countries in the LPI were included as alternatives to evaluate the relationship between digitalization indices and the logistics performance of these countries. In the study, the CRITIC method was employed to weight the criteria, while the ranking of decision alternatives was carried out using the TOPSIS method.
Findings: The findings of the research indicate that countries ranked high in the LPI also have high ranking in digitalization indices. Using the CRITIC method to determine the importance of the criteria, the analysis revealed that the three most significant indices for the top 23 countries in the LPI, in order of importance, are IDI, WCI, and GII. The ranking of the leading countries in the LPI based on their levels of digitalization, determined using the TOPSIS method, showed that Singapore, the United States, and the Netherlands are the top three countries with the highest levels of digitalization, respectively.
Originality: The literature lacks any research evaluating the digitalization levels of the leading countries in the LPI ranking based on the indices introduced in this study. Given the critical role of digital technologies in influencing the logistics performance of countries, and the absence of a study that comprehensively evaluates LPI and digitalization indices from a holistic perspective, this research is expected to contribute significantly to the existing literature.

Keywords

Logistics Performance Index Digitalization Multi Criteria Decision Making MCDM Digitalization Indices

References

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  • Ayçin, E. (2020). “Çok Kriterli Karar Verme: Bilgisayar Uygulamalı Çözümler”, Nobel Yayınevi, Ankara.
  • Aytekin, A., Ecer, F., Korucuk, S. and Karamaşa, Ç. (2022). “Global Innovation Efficiency Assessment of EU Member and Candidate Countries via DEA-EATWIOS Multi-criteria Methodology”, Technology in Society, 68, 101896. https://doi.org/10.1016/j.techsoc.2022.101896
  • Bánhidi, Z. and Dobos, I. (2024). “Measuring Digital Development: Ranking Using Data Envelopment Analysis (DEA) and Network Readiness Index (NRI)”, Central European Journal of Operations Research. https://doi.org/10.1007/s10100-024-00919-y
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  • Chejarla, K.C. and Vaidya, O.S. (2024). “A Hybrid Multi-Criteria Decision-Making Approach for Longitudinal Data”, OPSEARCH, 61(3), 1013-1060. https://doi.org/10.1007/s12597-023-00736-y
  • Çakır, S. (2017). “Measuring Logistics Performance of OECD Countries via Fuzzy Linear Regression”, Journal of Multi-Criteria Decision Analysis, 24(3-4), 177-186. https://doi.org/10.1002/mcda.1601
  • Çakir, S. and Perçin, S. (2013). “Çok Kriterli Karar Verme Teknikleriyle Lojistik Firmalarında Performans Ölçümü”, Ege Akademik Bakış, 13(4), 449-459.
  • Çalık, A., Erdebilli, B. and Özdemir, Y. S. (2023). “Novel Integrated Hybrid Multi-Criteria Decision-Making Approach for Logistics Performance Index”, Transportation Research Record, 2677(2), 1392-1400. https://doi.org/10.1177/0361198122111331
  • Deng, Y. and Chan, F.T. (2011). “A New Fuzzy Dempster MCDM Method and Its Application in Supplier Selection”, Expert Systems with Applications, 38(8), 9854-9861.
  • Diakoulaki, D., Mavrotas, G. and Papayannakis, L. (1995). “Determining Objective Weights in Multiple Criteria Problems: The CRITIC Method”, Computers & Operations Research, 22(7), 763-770.
  • Erdin, C. and Çağlar, M. (2023). “National Innovation Efficiency: A DEA-Based Measurement of OECD Countries”, International Journal of Innovation Science, 15(3), 427-456. https://doi.org/10.1108/IJIS-07-2021-0118
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There are 63 citations in total.

Details

Primary Language English
Subjects Logistics
Journal Section Araştırma Makalesi
Authors

Burcu Yılmaz 0000-0002-6004-0640

Publication Date April 16, 2025
Submission Date September 1, 2024
Acceptance Date March 20, 2025
Published in Issue Year 2025 Volume: 59 Issue: 2

Cite

APA Yılmaz, B. (2025). Determining The Digitalization Levels of Leading Countries in Logistics Performance Index: An Application with CRITIC-TOPSIS Approach. Verimlilik Dergisi, 59(2), 431-450. https://doi.org/10.51551/verimlilik.1541480
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