EATWOS, OCRA ve REF III Teknikleriyle Ülkelerin Lojistik Performans İndeksine Dayalı Etkinliklerinin İncelenmesi

Erhan Orakçı

doi:10.25204/iktisad.1486017

Araştırma Makalesi

Examining the Efficiency of Countries Based on the Logistics Performance Index Using EATWOS, OCRA and REF III Techniques

Yıl 2024, Cilt: 9 Sayı: 25, 590 - 611, 31.10.2024

Erhan Orakçı

https://doi.org/10.25204/iktisad.1486017

Öz

This study aims to examine the economic efficiency of European Union (EU) member and candidate countries based on their logistics performance using three multi-criteria decision-making (MCDM) techniques: OCRA, EATWOS, and REF-III. In this context, Logistics Performance Index (LPI) indicators and Gross Domestic Product (GDP) data were analyzed together. The results show almost perfect concordance among these techniques. Northern European countries (e.g., Denmark, Sweden, Finland) and Luxembourg and Ireland stand out with their high logistics performance, while Southern and Eastern European countries (e.g., Greece, Italy, Bulgaria) are ranked lower. Among the EU candidate countries, Turkey performs the best but still ranks low overall. These findings highlight the need for improvement in logistics infrastructure and operations. The study confirms the effectiveness and reliability of the methodologies used in evaluating logistics performance and provides valuable insights for future logistics development strategies. The analysis also reveals a positive correlation between LPI scores and GDP, emphasizing the importance of logistics efficiency for economic growth.

Anahtar Kelimeler

Efficiency analysis, REF III, OCRA, EATWOS, MCDM

Kaynakça

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EATWOS, OCRA ve REF III Teknikleriyle Ülkelerin Lojistik Performans İndeksine Dayalı Etkinliklerinin İncelenmesi

Yıl 2024, Cilt: 9 Sayı: 25, 590 - 611, 31.10.2024

Erhan Orakçı

https://doi.org/10.25204/iktisad.1486017

Öz

Bu çalışma, Avrupa Birliği (AB) üye ve aday ülkelerinin lojistik performanslarına bağlı ekonomik etkinliklerini OCRA, EATWOS ve REF-III gibi üç Çok Kriterli Karar Verme (ÇKKV) tekniğini kullanarak incelemeyi amaçlamaktadır. Bu çerçevede, Lojistik Performans İndeksi (LPI) göstergeleri ve Gayri Safi Yurt İçi Hasıla (GSYİH) verileri birlikte değerlendirilerek analiz edilmiştir. Sonuçlar, bu teknikler arasında neredeyse mükemmel bir uyum olduğunu göstermektedir. Kuzey Avrupa ülkeleri (örneğin, Danimarka, İsveç, Finlandiya) ve Lüksemburg ile İrlanda, yüksek lojistik performansları ile öne çıkarken, Güney ve Doğu Avrupa ülkeleri (örneğin, Yunanistan, İtalya, Bulgaristan) daha düşük sıralamalarda yer almıştır. AB aday ülkeleri arasında Türkiye en iyi performansı gösteren ülke olmasına rağmen genel sıralamada düşük kalmıştır. Bu bulgular, lojistik altyapı ve operasyonların iyileştirilmesi gerektiğini vurgulamaktadır. Çalışma, lojistik performansın değerlendirilmesinde kullanılan metodolojilerin etkinliğini ve güvenilirliğini doğrulamakta ve gelecekteki lojistik geliştirme stratejileri için önemli veriler sunmaktadır. Analiz ayrıca LPI puanları ile GSYİH arasında pozitif bir korelasyon olduğunu ortaya koymakta ve lojistik etkinliğin ekonomik büyüme için önemini vurgulamaktadır.

Anahtar Kelimeler

Etkinlik Analizi, EATWOS, ÇKKV, REF III, OCRA

Kaynakça

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Parkan, C., Lam, K. ve Hang, G. (1997). Operational competitiveness analysis on software development. The Journal of the Operational Research Society, 48(9), 892-905. https://doi.org/10.1057/palgrave.jors.2600446
Pesquera, M. A. (2021). Efficiency of scale of logistics in the production of the world’s countries (2007–2018). Transportation Research Procedia, 58, 150-157. https://doi.org/10.1016/j.trpro.2021.11.021
Peters, M. L. ve Zelewski, S. (2006, 28 Nisan - 1 Mayıs). Efficiency analysis under consideration of satisficing levels for output quantities. 17th Annual Conference of the Production and Operations Management Society – Operations Management in the New World Uncertainties içinde (s. 1-18). Boston (Mass.), ABD. https://www.pomsmeetings.org/confpapers/004/004-0236.pdf
Peters, M. L., Zelewski, S. ve Bruns, A. S. (2012). Extended version of EATWOS concerning satisficing levels for input quantities. Thorsten Blecker, Wolfgang Kersten & Christian M. Ringle (Ed.), Pioneering supply chain design–a comprehensive insight into emerging trends, technologies and applications içinde (s. 303-318). Josef Eul Verlag GmbH. https://www.malte-peters.de/publi_fi/bkps_2012.pdf
Polat, M., Kara, K. ve Yalcin, G. C. (2022). Clustering countries on logistics performance and carbon dioxide (CO2) emission efficiency: An empirical analysis. Business and Economics Research Journal, 13(2), 221-238. https://doi.org/10.20409/berj.2022.370
Qazi, A. (2021). Adoption of a probabilistic network model investigating country risk drivers that influence logistics performance indicators. Environmental Impact Assessment Review, 94, 106760. https://doi.org/10.1016/j.eiar.2022.106760
Rashidi, K. ve Cullinane, K. (2019). Evaluating the sustainability of national logistics performance using Data Envelopment Analysis. Transport Policy, 74, 35-46. https://doi.org/10.1016/j.tranpol.2018.11.014
Roman-Liu, D., Groborz, A. ve Tokarski, T. (2013). Comparison of risk assessment procedures used in OCRA and ULRA methods. Ergonomics, 56(10), 1584-1598. https://doi.org/10.1080/00140139.2013.829923
Roy, V., Mitra, S. K., Chattopadhyay, M. ve Sahay, B. S. (2022). Facilitating the extraction of extended insights on logistics performance from the logistics performance index dataset: A two-stage methodological framework and its application. Research in Transportation Business & Management, 28, 23-32. https://doi.org/10.1016/j.rtbm.2017.10.001
Saini, M. ve Hrusecka, D. (2021). Comparative impact of logistics performance index, ease of doing business and logistics cost on economic development: A fuzzy QCA analysis. Journal of Business Economics and Management, 22(6), 1577-1592. https://doi.org/10.3846/jbem.2021.15586
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Sergi, B. S., D’Aleo, V., Konecka, S., Depczynska, K. S., Dembinska, I. ve Ioppolo, G. (2021). Competitiveness and the Logistics Performance Index: The ANOVA method application for Africa, Asia, and the EU regions. Sustainable Cities and Society, 69, 102845. https://doi.org/10.1016/j.scs.2021.102845
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Varma, S. ve Shah, B. (2021, 16-18 Ağustos). A Study of the relationship between logistics performance and human development. 1st Indian International Conference on Industrial Engineering and Operations Management içinde (s. 833-845). Bangalore, Hindistan. https://doi.org/10.46254/IN01.20210244
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Toplam 110 adet kaynakça vardır.

Ayrıntılar

Birincil Dil	Türkçe
Konular	Avrupa Birliği Ekonomisi, İstatistik (Diğer)
Bölüm	Araştırma Makaleleri
Yazarlar	Erhan Orakçı 0000-0001-8468-5710
Erken Görünüm Tarihi	25 Ekim 2024
Yayımlanma Tarihi	31 Ekim 2024
Gönderilme Tarihi	17 Mayıs 2024
Kabul Tarihi	8 Ekim 2024
Yayımlandığı Sayı	Yıl 2024 Cilt: 9 Sayı: 25

Kaynak Göster

APA	Orakçı, E. (2024). EATWOS, OCRA ve REF III Teknikleriyle Ülkelerin Lojistik Performans İndeksine Dayalı Etkinliklerinin İncelenmesi. İktisadi İdari Ve Siyasal Araştırmalar Dergisi, 9(25), 590-611. https://doi.org/10.25204/iktisad.1486017
AMA	Orakçı E. EATWOS, OCRA ve REF III Teknikleriyle Ülkelerin Lojistik Performans İndeksine Dayalı Etkinliklerinin İncelenmesi. İKTİSAD. Ekim 2024;9(25):590-611. doi:10.25204/iktisad.1486017
Chicago	Orakçı, Erhan. “EATWOS, OCRA Ve REF III Teknikleriyle Ülkelerin Lojistik Performans İndeksine Dayalı Etkinliklerinin İncelenmesi”. İktisadi İdari Ve Siyasal Araştırmalar Dergisi 9, sy. 25 (Ekim 2024): 590-611. https://doi.org/10.25204/iktisad.1486017.
EndNote	Orakçı E (01 Ekim 2024) EATWOS, OCRA ve REF III Teknikleriyle Ülkelerin Lojistik Performans İndeksine Dayalı Etkinliklerinin İncelenmesi. İktisadi İdari ve Siyasal Araştırmalar Dergisi 9 25 590–611.
IEEE	E. Orakçı, “EATWOS, OCRA ve REF III Teknikleriyle Ülkelerin Lojistik Performans İndeksine Dayalı Etkinliklerinin İncelenmesi”, İKTİSAD, c. 9, sy. 25, ss. 590–611, 2024, doi: 10.25204/iktisad.1486017.
ISNAD	Orakçı, Erhan. “EATWOS, OCRA Ve REF III Teknikleriyle Ülkelerin Lojistik Performans İndeksine Dayalı Etkinliklerinin İncelenmesi”. İktisadi İdari ve Siyasal Araştırmalar Dergisi 9/25 (Ekim 2024), 590-611. https://doi.org/10.25204/iktisad.1486017.
JAMA	Orakçı E. EATWOS, OCRA ve REF III Teknikleriyle Ülkelerin Lojistik Performans İndeksine Dayalı Etkinliklerinin İncelenmesi. İKTİSAD. 2024;9:590–611.
MLA	Orakçı, Erhan. “EATWOS, OCRA Ve REF III Teknikleriyle Ülkelerin Lojistik Performans İndeksine Dayalı Etkinliklerinin İncelenmesi”. İktisadi İdari Ve Siyasal Araştırmalar Dergisi, c. 9, sy. 25, 2024, ss. 590-11, doi:10.25204/iktisad.1486017.
Vancouver	Orakçı E. EATWOS, OCRA ve REF III Teknikleriyle Ülkelerin Lojistik Performans İndeksine Dayalı Etkinliklerinin İncelenmesi. İKTİSAD. 2024;9(25):590-611.

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