Araştırma Makalesi

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

Cilt: 8 Sayı: 2 30 Aralık 2023
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Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods

Öz

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.

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. http://dx.doi.org/10.2139/ssrn.3815764
  2. Adıgüzel Mercangöz, B., Yıldırım, B. F., & Kuzu Yıldırım, S. (2020). Time period based COPRAS-G method: application on the Logistics Performance Index. LogForum, 16(2), 239-250. http://doi.org/10.17270/J.LOG.2020.432
  3. Agility. (2023). Agility Emerging Markets Logistics Index (AEMLI). Available at: https://www.agility.com/en/emerging-markets-logistics-index/ (07.08.2023)
  4. Akyüz, G., & Aka, S. (2017). An Additive Approach With Multi-Criteria Decision Making Methods On Evaluation Of Supplier Performance. Journal Of Management & Economics Research, 15(2), 28-46. https://doi.org/10.11611/yead.277893
  5. Bensassi, S., Márquez-Ramos, L., Martínez-Zarzoso, I., & Suárez-Burguet, C. (2015). Relationship between logistics infrastructure and trade: Evidence from Spanish regional exports. Transportation research part A: policy and practice, 72, 47-61. https://doi.org/10.1016/j.tra.2014.11.007
  6. Borgogna, A., Sheikh, H., & Raad, M. (2022). Modernizing logistics through digitization. Available at: https://www.strategyand.pwc.com/m1/en/strategic-foresight/sector-strategies/transport-logistics management/modernizing-logistics.html (04.12.2023)
  7. Bugarčić, F. Ž., Skvarciany, V., & Stanišić, N. (2020). Logistics performance index in international trade: Case of Central and Eastern European and Western Balkans countries. Business: Theory and Practice, 21(2), 452-459. http://dx.doi.org/10.3846/btp.2020.12802
  8. Çakir, S., & Perçin, S. (2013). Çok kriterli karar verme teknikleriyle lojistik firmalarinda performans ölçümü/Performance measurement of logistics firms with multi-criteria decision making methods. Ege Akademik Bakis, 13(4), 449-459.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Lojistik

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

23 Aralık 2023

Yayımlanma Tarihi

30 Aralık 2023

Gönderilme Tarihi

11 Ekim 2023

Kabul Tarihi

23 Aralık 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 8 Sayı: 2

Kaynak Göster

APA
Özbek, H. E., & Özekenci, E. K. (2023). Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods. JOEEP: Journal of Emerging Economies and Policy, 8(2), 559-576. https://izlik.org/JA52PC33ML
AMA
1.Özbek HE, Özekenci EK. Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods. JOEEP. 2023;8(2):559-576. https://izlik.org/JA52PC33ML
Chicago
Özbek, Hazal Ezgi, ve Emre Kadir Özekenci. 2023. “Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods”. JOEEP: Journal of Emerging Economies and Policy 8 (2): 559-76. https://izlik.org/JA52PC33ML.
EndNote
Özbek HE, Özekenci EK (01 Aralık 2023) Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods. JOEEP: Journal of Emerging Economies and Policy 8 2 559–576.
IEEE
[1]H. E. Özbek ve E. K. Özekenci, “Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods”, JOEEP, c. 8, sy 2, ss. 559–576, Ara. 2023, [çevrimiçi]. Erişim adresi: https://izlik.org/JA52PC33ML
ISNAD
Özbek, Hazal Ezgi - Özekenci, Emre Kadir. “Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods”. JOEEP: Journal of Emerging Economies and Policy 8/2 (01 Aralık 2023): 559-576. https://izlik.org/JA52PC33ML.
JAMA
1.Özbek HE, Özekenci EK. Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods. JOEEP. 2023;8:559–576.
MLA
Özbek, Hazal Ezgi, ve Emre Kadir Özekenci. “Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods”. JOEEP: Journal of Emerging Economies and Policy, c. 8, sy 2, Aralık 2023, ss. 559-76, https://izlik.org/JA52PC33ML.
Vancouver
1.Hazal Ezgi Özbek, Emre Kadir Özekenci. Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods. JOEEP [Internet]. 01 Aralık 2023;8(2):559-76. Erişim adresi: https://izlik.org/JA52PC33ML

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