References

• The World Bank (2023), The International Bank for Reconstruction and Development, website https://lpi.worldbank.org/. google scholar
• Hayaloğlu, P. (2015). The impact of developments in the logistics sector on economic growth: the case of OECD countries. International Journal of Economics and Financial Issues, 5(2), 523-530. google scholar
• Kisa, A. C. G., & Ayçin, E. (2019). Evaluation of logistics performances of OECD countries with SWARA-based EDAS method. Journal of Çankırı Karatekin University Faculty of Economics and Administrative Sciences, 9(1), 301-325. google scholar
• TÜRKOĞLU, M., & DURAN, G. (2023). ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ İLE BÖLGESEL KAPSAMLI EKONOMİK ORTAKLIK (RCEP) ÜLKELERİNİN LOJİSTİK PERFORMANSLARININ DEĞERLENDİRİLMESİ. Ekonomi Bilimleri Dergisi, 15(1), 45-69. google scholar
• Zolfani, S. H., Aghdaie, M. H., Derakhti, A., Zavadskas, E. K., & Varzandeh, M. H. M. (2013). Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert systems with applications, 40(17), 7111-7121. google scholar
• Civelek, M. E., Çemberci, M., Artar, O. K., & Uca, N. (2015). Key factors of sustainable firm performance: A strategic approach. google scholar
• Sh Shang, K. C., & Marlow, P. B. (2007). The effects of logistics competency on performance. Journal of international logistics and Trade, 5(2), 45-66. google scholar
• Gergin, R. E., & Baki, B. (2015). Evaluation by integrated AHP and TOPSIS Method of Logistics Performance in Turkey’s Regions. Business and economics research Journal, 6(4), 115. google scholar
• Ojala, L., & Celebi, D. (2015). The World Bank’s Logistics Performance Index (LPI) and drivers of logistics performance. Proceeding of MAC-EMM, OECD, 3-30. google scholar
• Kunadhamraks, P., & Hanaoka, S. (2008). Evaluating the logistics performance of intermodal transportation in Thailand. Asia Pacific Journal of Marketing and Logistics, 20(3), 323-342. google scholar
• Wu, X., & Liao, H. (2018). An approach to quality function deployment based on probabilistic linguistic term sets and ORESTE method for multi-expert multi-criteria decision making. Information Fusion, 43, 13-26. google scholar
• Gavin, M., & Rodrik, D. (1995). The World Bank in historical perspective. The American Economic Review, 85(2), 329-334. google scholar
• Marti, L., Puertas, R., & Garrfa, L. (2014). The importance of the Logistics Performance Index in International trade. Applied economics, 46(24), 2982-2992. google scholar
• Faria, R. N. D., Souza, C. S. D., & Vieira, J. G. V. (2015). Evaluation of logistic performance indexes of brazil in the international trade. RAM. Revista de Admmistraçao Mackenzie, 16, 213-235. google scholar
• Beysenbaev, R., & Dus, Y. (2020). Proposals for improving the logistics performance index. The Asian Journal of Shipping and Logistics, 36(1), 34-42. google scholar
• Yusufkhonov, Z., Ravshanov, M., Kamolov, A., & Kamalova, E. (2021). Improving the position of the logistics performance index of Uzbekistan. In E3S Web of Conferences (Vol. 264, p. 05028). EDP Sciences. google scholar
• Jafari, H. (2013). Identification and prioritization of grain discharging operations risks by using ORESTE method. American Journal of Public Health Research, 1(8), 214-220. google scholar
• Liao, H., Wu, X., Liang, X., Xu, J., & Herrera, F. (2018). A new hesitant fuzzy linguistic ORESTE method for hybrid multicriteria decision making. IEEE Transactions on Fuzzy Systems, 26(6), 3793-3807. google scholar
• Luo, S., Liang, W., & Zhao, G. (2020). Likelihood-based hybrid ORESTE method for evaluating the thermal comfort in underground mines. Applied Soft Computing, 87, 105983. google scholar
• Adali, E. A., & IŞIK, A. T. (2017). Ranking web design firms with the ORESTE method. Ege Academic Review, 17(2), 243-254. google scholar
• Boer, E. R., & Rakauskas, J. E. (2005, June). Steering entropy revisited. In Driving Assessment Conference (Vol. 3, No. 2005). University of Iowa. google scholar
• Mannor, S., Peleg, D., & Rubinstein, R. (2005, August). The cross-entropy method for classification. In Proceedings of the 22nd international conference on Machine learning (pp. 561-568). google scholar
• Szita, I., & Lörincz, A. (2006). Learning Tetris using the noisy cross-entropy method. Neural computation, 18(12), 2936-2941. google scholar
• Levy, R., LeBlanc, J. P. F., & Gull, E. (2017). Implementation of the maximum entropy method for analytic continuation. Computer Physics Communications, 215, 149-155. google scholar
• Rezaei, J., van Roekel, W. S., & Tavasszy, L. (2018). Measuring the relative importance of the logistics performance index indicators using Best Worst Method. Transport Policy, 68, 158-169. google scholar
• Çetinkaya, C., Özceylan, E., Erbaş, M., & Kabak, M. (2016). GIS-based fuzzy MCDA approach for siting refugee camp: A case study for southeastern Turkey. International Journal of Disaster Risk Reduction, 18, 218-231. google scholar
• Bozkurt, C., & Mermertaş, F. (2019). Türkiye ve G8 ülkelerinin lojistik performans endeksine göre karşılaştırılması. İşletme ve İktisat Çalışmaları Dergisi, 7(2), 107-117. google scholar
• Ulutaş, A., & Karaköy, Ç. (2019). An analysis of the logistics performance index ofEU countries with an integrated MCDM model. Economics and Business Review, 5(4), 49-69. google scholar
• Karaköy, Ç., & Ölmez, U. (2019). Balkan ülkelerinde lojistik performans endeksi değerlendirilmesi. Uluslararası Sosyal, Beşeri ve İdari Bilimlerde Yenilikçi Yaklaşımlar Sempozyumu, 178-180. google scholar
• Özdemir, L. (2017). Relationship between financial development and logistics performance and their effects on the competitiveness: an empirical cross-country study. google scholar
• Marti, L., Puertas, R., & Garrfa, L. (2014). The importance of the Logistics Performance Index in International trade. Applied economics, 46(24), 2982-2992. google scholar
• Guner, S., & Coskun, E. (2012). Comparison of impacts of economic and social factors on countries’ logistics performances: a study with 26 OECD countries. Research in logistics & production, 2(4), 330-343. google scholar

Citations