Araştırma Makalesi

Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis

Cilt: 18 Sayı: 69 3 Şubat 2023
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Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis

Öz

Logistics performance indicators are important in determining the market development levels of countries. Especially the logistics markets of developing countries play an active role in increasing the country's economy and trade volumes. In this research, it is aimed to cluster the developing countries according to their level of logistics market development in 2022. For this reason, fuzzy clustering and discriminant analyzes have been applied in the research. The sample area of the study consists of 50 developing countries. The data of the research have been taken from The Agility Emerging Markets Logistics Index reports. The research has been carried out in two phases. In the first phase, developing countries are classified by fuzzy cluster analysis. According to the analysis findings, 2 clusters have been obtained as high and low logistics market development cluster. In the second phase, discriminant analysis has been conducted to test the cluster membership of clustered countries. According to the discriminant analysis findings, all cluster memberships have been confirmed. As a result of the research, the cluster membership status of the developing countries and cluster centers according to the variables have been determined and the obtained implications have been presented.

Anahtar Kelimeler

Kaynakça

  1. Aboul-Dahab, K., & Ibrahim, M. A. (2020). Investigating the efficiency of the logistics performance index (LPI) weighting system using the technique for order of preference by similarity to ideal solution (TOPSIS) method. International Journal of Science and Research, 9, 269-277.
  2. AEMLI (2022), Agility Emerging Markets Logistics Index 2022, available from https://www.agility.com/en/emerging-markets-logistics index/#:~:text=They%20offer%20insights%20into%20strategic,business%20conditions%20and%20digital%20readiness, access date: 12.05.2022.
  3. Alyoubi, B. A. (2021). Clustering Analysis of Logistics Performance in Saudi Arabia: A Roadmap to Cloud Computing and IoT & Blockchain Solutions. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(7), 1-14.
  4. Anuşlu, M. D., & Fırat, S. Ü. (2019). Clustering analysis application on Industry 4.0-driven global indexes. Procedia Computer Science, 158, 145-152.
  5. Ari, E., & Yildiz, A. (2018). OECD ülkelerinin göç istatistikleri bakimindan bulanik kümeleme analizi ile incelenmesi. Pamukkale University Journal of Social Sciences Institute/Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 33, 17-28.
  6. Beysenbaev, R. (2018). The importance of country-level logistics efficiency assessment to the development of international trade. British Journal for Social and Economic Research, 3(6), 13-20.
  7. Beysenbaev, R., & Dus, Y. (2020). Proposals for improving the logistics performance index. The Asian Journal of Shipping and Logistics, 36(1), 34-42.
  8. Burmaoglu, S., & Sesen, H. (2011). Analyzing the dependency between national logistics performance and competitiveness: Which logistics competence is core for national strategy?. Journal of competitiveness, 3(4), 4-21.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

3 Şubat 2023

Gönderilme Tarihi

28 Temmuz 2022

Kabul Tarihi

12 Aralık 2022

Yayımlandığı Sayı

Yıl 2023 Cilt: 18 Sayı: 69

Kaynak Göster

APA
Kara, K. (2023). Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis. Yaşar Üniversitesi E-Dergisi, 18(69), 19-40. https://doi.org/10.19168/jyasar.1149970
AMA
1.Kara K. Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis. Yaşar Üniversitesi E-Dergisi. 2023;18(69):19-40. doi:10.19168/jyasar.1149970
Chicago
Kara, Karahan. 2023. “Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis”. Yaşar Üniversitesi E-Dergisi 18 (69): 19-40. https://doi.org/10.19168/jyasar.1149970.
EndNote
Kara K (01 Şubat 2023) Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis. Yaşar Üniversitesi E-Dergisi 18 69 19–40.
IEEE
[1]K. Kara, “Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis”, Yaşar Üniversitesi E-Dergisi, c. 18, sy 69, ss. 19–40, Şub. 2023, doi: 10.19168/jyasar.1149970.
ISNAD
Kara, Karahan. “Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis”. Yaşar Üniversitesi E-Dergisi 18/69 (01 Şubat 2023): 19-40. https://doi.org/10.19168/jyasar.1149970.
JAMA
1.Kara K. Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis. Yaşar Üniversitesi E-Dergisi. 2023;18:19–40.
MLA
Kara, Karahan. “Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis”. Yaşar Üniversitesi E-Dergisi, c. 18, sy 69, Şubat 2023, ss. 19-40, doi:10.19168/jyasar.1149970.
Vancouver
1.Karahan Kara. Clustering of Developing Countries in Terms of Logistics Market Development with Fuzzy Clustering and Discriminant Analysis. Yaşar Üniversitesi E-Dergisi. 01 Şubat 2023;18(69):19-40. doi:10.19168/jyasar.1149970

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