Gelişmekte Olan Ülkelerde Dijital Lojistik Pazar Performansının Hibrit ÇKKV Yöntemleriyle İncelenmesi

Year 2023, Volume: 8 Issue: 2, 559 - 576, 30.12.2023

Hazal Ezgi Özbek , Emre Kadir Özekenci

Abstract

Bu çalışmanın amacı, gelişmekte olan ülkelerin dijital lojistik pazar performansını bütünleşik Çok Kriterli Karar Verme (ÇKKV) yöntemlerini kullanarak değerlendirmektir. Bu çalışmada kullanılan kriterler literatür taraması sonucu belirlenmiştir. Kriter ağırlıklarının hesaplanmasında LOPCOW yöntemi kullanılırken, alternatifler MAUT, TOPSIS, MARCOS ve CoCoSo gibi farklı ÇKKV yöntemlerine göre sıralanmıştı. Ayrıca, bu çalışmada Borda sayımı yöntemi kullanılarak alternatiflere ilişkin son sıralama elde edilmiştir. LOPCOW yönteminden elde edilen sonuçlar, geleceğe hazırlık (FR) ve yurt içi lojistik fırsatlarının (DLO) sırasıyla en önemli ve en az önemli kriterler olduğunu göstermiştir. MAUT, TOPSIS, MARCOS ve CoCoSo yöntemlerinden elde edilen sıralama sonuçları, Birleşik Arap Emirlikleri'nin (BAE) en yüksek dijital lojistik pazar performansına sahip olduğunu, onu Çin ve Katar'ın takip ettiğini göstermiştir. Bu çalışmanın, gelişmekte olan ülkelerdeki politika yapıcılar ve şirketlere dijital lojistik pazar performansı hakkında fikir sağlayacağı düşünülmektedir. Bu çalışmanın temel sınırlılığı, ülkelerin dijital lojistik pazar performansının AEMLI ve DCI raporlarından elde edilen verilere dayanarak değerlendirilmesidir. Gelecekteki araştırmalarda farklı kriterlerin kullanılması mümkün olabilir.

Keywords

Lojistik pazar performans, Dijitalleşme, Gelişen pazarlar, ÇKKV

Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods

Abstract

The aim of this paper is to evaluate the digital logistics market performance of developing countries using integrated MCDM methods. For this investigation, the criteria were determined based on the previous research. While the LOPCOW method was used to determine the weights of the criteria, the alternatives were ranked based on various MCDM methods, namely MAUT, TOPSIS, MARCOS, and CoCoSo. Additionally, in this study, the final ranking was obtained by the Borda count method. Results from the LOPCOW method showed that future readiness (FR) and domestic logistics opportunities (DLO) were the most and least important criteria, respectively. According to results obtained by the MAUT, TOPSIS, MARCOS and CoCoSo methods showed that, the United Arab Emirates (UAE) has the highest digital logistics market performance, followed by China and Qatar. It is thought that this study will provide insight into digital logistics market performance for policy makers and companies in developing countries. The main limitations of this study that the digital logistics market performance of countries was evaluated based on the data from the AEMLI and DCI reports. In future investigations, it might be possible to use different criteria.

Keywords

logistics market performance, digitalization, emerging markets, MCDM

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