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, , 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

Ababou, M. ve Benomar, I. (2024). Insights into the interplay between macroeconomic factors and logistics performance index. Journal of Namibian Studies: History Politics Culture, 40, 413-435. https://doi.org/10.59670/jsf7q813 https://doi.org/10.59670/jsf7q813
Aksungur, M. ve Bekmezci, M. (2020). Türkiye’nin lojistik performansının değerlendirilmesi boylamsal bir araştırma. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi, 7(12), 19-40. https://dergipark.org.tr/tr/pub/iisbf/issue/54695/647883
Alnıpak, S. (2022). Liman operasyonel verimliliğinin karlılık ile ilişkisi: TCDD limanları üzerine bir araştırma. Maliye ve Finans Yazıları, (118), 239-256. https://doi.org/10.33203/mfy.1150928
Alnıpak, S., Isikli, E. ve Apak, S. (2023). The propellants of the Logistics Performance Index: an empirical panel investigation of the European region. International Journal of Logistics Research and Applications, 26(7), 894-916. https://doi.org/10.1080/13675567.2021.1998397
Aytekin, A. (2020). Çok kriterli karar problemine uzaklık ve referans temelli çözüm yaklaşımı. https://hdl.handle.net/11494/2558
Aytekin, A. (2020). Türkiye’de önde gelen şirketlerin etkinlik, farklılık ve performans ölçümü. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 21(4), 19-35. https://dergipark.org.tr/tr/pub/anadoluibfd/issue/59038/827385
Aytekin, A. (2022). Çok kriterli karar analizi. https://hdl.handle.net/11494/4808
Aytekin, A. ve Durucasu, H. (2021). Nearest solution to references method for multicriteria decision-making problems. Decision Science Letters, 10(2), 111-128. https://hdl.handle.net/11494/2830
Aytekin, A., Ecer, F., Korucuk, S. ve Karamaşa, Ç. (2022). Global innovation efficiency assessment of EU member and candidate countries via DEA-EATWIOS multi-criteria methodology. Technology in Society, 68, 101896. https://doi.org/10.1016/j.techsoc.2022.101896
Aytekin, A., Görçün, Ö. F., Ecer, F., Pamucar, D. ve Karamaşa, Ç. (2023b). Foreign market selection of suppliers through a novel REF-Sort technique. Kybernetes, 52(11), 4958-4992. https://doi.org/10.1108/K-03-2022-0459
Aytekin, A., Korucuk, S. ve Karamaşa, Ç. (2023). Ranking countries according to logistics and international trade efficiencies via REF-III. J. Intell. Manag. Decis, 2, 74-84. https://doi.org/10.56578/jimd020204
Bakucs, Z., Fertő, I., Fogarasi, J., Tóth, J. ve Latruffe, L. (2011, February). Assessment of the impact of EU accession upon farms’ performance in the New Member States with special emphasis on the farm type. (FACEPA Deliverable No. D 5.3). http://prodinra.inra.fr/ft/47343A34-EC0F-4B67-AA00-11C5788D3248
Bansal, A., Kr. Singh, R., Issar, S. ve Varkey, J. (2014). Evaluation of vendors ranking by EATWOS approach. Journal of Advances in Management Research, 11(3), 290-311. https://doi.org/10.1108/JAMR-02-2014-0009
Barakat, M., Madkour, T. ve Moussa, A. M. (2023). The role of logistics performance index on trade openness in Europe. International Journal of Economics and Business Research, 25(3), 379-394. https://doi.org/10.1504/IJEBR.2023.129967
Beškovnik, B. (2010). Managing and organizational changes of intermodal network in transition regions: the case of South-East Europe. Transport problems, 5(2), 37-47.
Beškovnik, B. ve Twrdy, E. (2015). Developing regional approach for transport industry: the role of port system in the Balkans. Transport, 30(4), 437-447. https://doi.org/10.3846/16484142.2014.938696
Beysenbaev, R. ve Dus, Y. (2020). Proposals for improving the Logistics Performance Index. Asian Journal of Shipping and Logistics, 36(1), 34-42. https://doi.org/10.1016/j.ajsl.2019.10.001
Bilgin, T. ve Sunaoğlu, Ş. K. (2022). Lojistik performans ve uluslararası ticaret ilişkisi üzerine alanyazın incelemesi. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (53), 325-344. https://doi.org/10.30794/pausbed.1105239
Bozkurt, C. ve Mermertaş, F. (2019). Türkiye ve G8 ülkelerinin lojistik performans endeksine göre karşılaştırılması. İşletme ve İktisat Çalışmaları Dergisi, 7(2), 107-117. https://dergipark.org.tr/tr/download/article-file/840193
Bugarčić, F. Ž., Mićić, V. ve Stanišić, N. (2023). The role of logistics in economic growth and global competitiveness. Zbornik Radova Ekonomski Fakultet u Rijeka, 41(2), 499-520. https://doi.org/10.18045/zbefri.2023.2.499
Cakranegara, P. A., Budiastuti, A. ve Simanjorang, T. M. (2022). Determining the company marketing sales perfomance using the operational competitiveness rating analysis (OCRA) method. Enrichment: Journal of Management, 12(5), 3996-4002. https://doi.org/10.35335/enrichment.v12i5.986
Chatterjee, P. (2013). Applications of preference ranking-based methods for decision-making in manufacturing environment. PhD Thesis, Jadavpur University. Kolkata. http://hdl.handle.net/10603/175990
Chatterjee, P. ve Chakraborty, S. (2012). Material selection using preferential ranking methods. Material and Design, 35, 384-393. https://doi.org/10.1016/j.matdes.2011.09.027
Chatterjee, P. ve Chakraborty, S. (2014). Flexible manufacturing system selection using preference ranking methods: A comparative study. International Journal of Industrial Engineering Computations, 5, 315–338. http://dx.doi.org/10.14743/apem2014.1.172
Coto-Millán, P., Agüeros, M., Casares-Hontañón, P. ve Pesquera, M. Á. (2013). Impact of logistics performance on world economic growth (2007–2012). World Review of Intermodal Transportation Research, 4(4), 300-310. https://doi.org/10.1504/WRITR.2013.059857
Çaloğlu Büyükselçuk, E. ve Tozan, H. (2022). Elektrikli araçların performanslarının CRITIC-EATWIOS ile değerlendirilmesi. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 10(4), 1670-1688. https://dergipark.org.tr/tr/pub/dubited/issue/73115/1002851
Çanakçıoğlu, M. (2019). Borsa İstanbul’da işlem gören çimento firmalarının Entropi-EATWIOS bütünleşik yaklaşımı ile finansal performanslarının değerlendirmesi. Yaşar Üniversitesi E-Dergisi, 14(56), 407-421. https://dergipark.org.tr/tr/pub/jyasar/issue/49978/570324
Çelebi, Ü., Civelek, M. E., ve Çemberci, M. (2015). The mediator effect of foreign direct investments on the relation between logistics performance and economic growth. Journal of Global Strategic Management, 17. https://ssrn.com/abstract=3338308
Çilek, A. ve Karavardar, A. (2023). Hibrit Entropi ve EATWIOS teknikleri ile Türk kamu bankalarının verimlilik analizi. Business & Management Studies: An International Journal, 11(1), 136-151. https://doi.org/10.15295/bmij.v11i1.2185
Darji, V. P. ve Rao, R. V. (2014). Intelligent multi criteria decision making methods for material selection in sugar industry. Procedia Materials Science, 5, 2585-2594. https://doi.org/10.1016/j.mspro.2014.07.519
Doğan, H. (2020). Türkiye ve AB ülkelerinin AR-GE verimliliklerinin ENTROPİ-EATWOS yöntemleri ile karşılaştırılması. Karadeniz Sosyal Bilimler Dergisi, 12(23), 515-533. https://doi.org/10.38155/ksbd.792763
Duleba, S. ve Moslem, S. (2018). Sustainable urban transport development with stakeholder participation, an AHP-Kendall model: A case study for Mersin. Sustainability, 10(10), 3647. https://doi.org/10.3390/su10103647
Emirkadı, Ö. ve Balcı, H. (2018). Lojistik sektörü ve Türkiye dış ticaretine etkileri. Journal of Institute of Economic Development and Social Researches, 4(8), 123-132. https://dergipark.org.tr/tr/pub/iksad/issue/51695/671144
Erdoğan, A. (2024). Türkiye’de lojistik sektörünün SWOT analizi. The Journal of Social Sciences, (47), 108-116. http://dx.doi.org/10.29228/SOBIDER.45558
Eurostat. (2024, 7 Mayıs). Real GDP per capita. https://doi.org/10.2908/SDG_08_10
Gani, A. (2017). The logistics performance effect in international trade. The Asian journal of shipping and logistics, 33(4), 279-288. https://doi.org/10.1016/j.ajsl.2017.12.012
Göçer, A., Özpeynirci, Ö. ve Semiz, M. (2022). Logistics performance index-driven policy development: An application to Turkey. Transport Policy, 124, 20-32. https://doi.org/10.1016/j.tranpol.2021.03.007
Görçün, Ö. F. (2019). Orta Asya Türk Cumhuriyetlerinin lojistik ve taşımacılık performansları ve verimliliklerinin analizi için hibrid birçok kriterli karar verme modeli. MANAS Sosyal Araştırmalar Dergisi, 8(3), 2775-2798. https://doi.org/10.33206/mjss.511522
Gürler, H. E., Özçalıcı, M. ve Pamucar, D. (2024). Determining criteria weights with genetic algorithms for multi-criteria decision making methods: The case of logistics performance index rankings of European Union countries. Socio-Economic Planning Sciences, 91, 101758. https://doi.org/10.1016/j.seps.2023.101758
Jayathilaka, R., Jayawardhana, C., Embogama, N., Jayasooriya, S., Karunarathna, N., Gamage, T. ve Kuruppu, N. (2021). Gross domestic product and logistics performance index drive the world trade: A study based on all continents. PLoS ONE, 17(2), e0264474. https://doi.org/10.1371/journal.pone.0264474
Kahsai, M. S. ve Eyob, E. (2022). Causal relationship of logistics performance gross domestic product and governance. Journal of Applied Business and Economics, 24(4). https://articlearchives.co/index.php/JABE/article/view/5264/5225
Kalansuriya, N., De Silva, S., Perera, N., Wanigarathna, B., Jayathilaka, R., Paranavitana, P. ve Arachchige, S. C. (2023). Analysing the influence of logistics, corruption, FDI and GDP on global competitiveness: A cross-sectional study. Journal of the Knowledge Economy, 1-20. https://doi.org/10.1007/s13132-023-01615-z
Kálmán, B. ve Tóth, A. (2021). Links between the economy competitiveness and logistics performance in the Visegrád Group countries: Empirical evidence for the years 2007-2018. Entrepreneurial Business and Economics Review, 9(3), 169-190. https://doi.org/10.15678/eber.2021.090311
Karaman Kabadurmuş, F. N. (2019). The relationship between logistics performance and innovation: An empirical study of Turkish firms. Alphanumeric Journal, 7(2), 157-172. https://doi.org/10.17093/alphanumeric.614170
Karp, P. (2024). Components of the polish LPI in relation to macroeconomic variables. Cointegration analysis. Zeszyty Naukowe. Organizacja i Zarządzanie/Politechnika Śląska. http://dx.doi.org/10.29119/1641-3466.2024.191.17
Kendall, M. G. (1948). Rank correlation methods. https://doi.org/10.2307/2333282
Khan, S. A. R., Qianli, D., SongBo, W., Zaman, K. ve Zhang, Y. (2017). Travel and tourism competitiveness index: The impact of air transportation, railways transportation, travel and transport services on international inbound and outbound tourism. Journal of Air Transport Management, 58, 125-134. https://doi.org/10.1016/j.jairtraman.2016.10.006
Koç, E., Desticioğlu, B. ve Şimşek, A. İ. (2021). ABD konteyner limanlarının toplam faktör verimliliklerinin karşılaştırılması. Avrupa Bilim ve Teknoloji Dergisi, (27), 823-831. https://doi.org/10.31590/ejosat.992850
Kumari, M. ve Bharti, N. (2021). Trade and logistics performance: does country size matter?. Maritime Economics & Logistics, 23, 401-423. https://doi.org/10.1057/s41278-021-00188-5
Kundakcı, N. (2019). A comparative analyze based on EATWOS and OCRA methods for supplier evaluation. Alphanumeric Journal, 7(1), 103-112. https://doi.org/10.17093/alphanumeric.477322
Küçük, Ü. (2022). Lojistik faaliyetlerde yaşanan sorunlar ve çözüm önerileri gıda firması örneği. Eğitim Yayınevi.
Larson, P. D. (2021). Relationships between logistics performance and aspects of sustainability: A cross-country analysis. Sustainability, 13(1), 623. https://doi.org/10.3390/su13020623
Leal, E. (2011). Logistics platforms as a pivotal element in competitiveness and sustainability. Facilitation of Transport and Trade in Latin America and the Caribbean, FAL Bulletin, 302(10), 1–9. https://repositorio.cepal.org/server/api/core/bitstreams/6eaaa54b-5761-4750-a119-46e84817b5ed/content
Lukić, R. (2024). Application of the REF method in the evaluation of trade efficiency in Serbia. Review of International Comparative Management, 25(1), 51-69. https://doi.org/10.24818/RMCI.2024.1.51
Lukić, R. ve Zekić, B. H. (2021, 7-8 Ekim). Evaluation of transportation and storage efficiency in Serbia based on ratio analysis and the OCRA method. 21st International Scientific Conference Business Logistics in Modern Management içinde (s. 189-200). Osijek, Croatia. https://www.efos.unios.hr/repec/osi/bulimm/PDF/BusinessLogisticsinModernManagement21/blimm2111.pdf
Madić, M., Petković, D. ve Radovanović, M. (2015). Selection of non-conventional machining processes using the OCRA method. Serbian Journal of Management, 10(1), 61-73. https://doi.org/10.5937/sjm10-6802
Martí, L., Puertas, R. ve García, L. (2014). The importance of the logistics performance index in international trade. Applied Economics, 46(24), 2982-2992. https://doi.org/10.1080/00036846.2014.916394
Mhlanga, S, T. ve Lall, M. (2021, 3-6 Aralık). Influence of normalization technique on multi-criteria decision-making methods. 2nd International Symposium on Automation, Information and Computing (ISAIC 2021) içinde (s. 1-12). Online. https://doi.org/10.1088/1742-6596/2224/1/012076
Mishra, A. R., Rani, P., Cavallaro, F., Hezam, I. M. ve Lakshmi, J. (2023). An integrated intuitionistic fuzzy closeness coefficient-based OCRA method for sustainable urban transportation options selection. Axioms, 12(2), 144. https://doi.org/10.3390/axioms12020144
Nguyen, T. C. ve Le, T. H. (2024). Financial crises and the national logistics performance: Evidence from emerging and developing countries. International Journal of Finance & Economics, 29(2), 1834-1855. https://doi.org/10.1002/ijfe.2768
Özbek, A. (2015a). Performance analysis of public banks in Turkey. International Journal of Business Management and Economic Research, 6(3), 178-186. https://www.ijbmer.com/docs/volumes/vol6issue3/ijbmer2015060303.pdf
Özbek, A. (2015b). Efficiency analysis of foreign-capital banks in Turkey by OCRA and MOORA environment. Research Journal of Finance and Accounting, 6(13), 21-31. https://core.ac.uk/download/pdf/234630854.pdf
Özbek, A. (2015c). Efficiency analysis of the Turkish red crescent between 2012 and 2014. International Journal of Economics and Finance, 7(9), 322-334. http://dx.doi.org/10.5539/ijef.v7n9p322
Özbek, A. Ş. I. R. (2015c). Operasyonel rekabet değerlendirmesi (OCRA) yöntemiyle mevduat bankalarının etkinlik ölçümü. Social Sciences, 10(3), 120-134. https://doi.org/10.12739/nwsa.2015.10.3.3c0132
Özdağoğlu, A. (2018). BİST sınai işletmelerinin Gri Entropi-EATWIOS bütünleşik yaklaşımı ile performans değerlendirmesi. Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi, 19(2), 271-299. https://doi.org/10.24889/ifede.415061
Özdemir, M. H. (2021). Effizienzanalyse für laptops mit der integrierten Entropie-EATWIOS-methode. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 11(2), 717-736. http://hdl.handle.net/20.500.11787/6055
Özgür, M. I., Demirtaş, C., Bağcı, H., Yıldırım, E. S. ve Ertuğrul, G. (2023). Türk kamu ve özel şeker fabrikalarının etkinlik ve verimlilik analizi: CRITIC VE EATWIOS Yönteminden Kanıtlar1. https://acikerisim.aksaray.edu.tr/dx.doi.org/10.25287/ohuiibf.1160049
Pala, O. (2023). MEREC-CORR ve SAW temelli lojistik performans değerlendirme. Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(25), 117-135. https://doi.org/10.53092/duiibfd.1130928
Parkan, C. (1994). Operational competitiveness ratings of production units. Managerial and Decision Economics, 15(3), 201-221. https://doi.org/10.1002/mde.4090150303
Parkan, C. (1996a). Performance measurement for a subway system in Hong Kong. The Georgia Productivity Workshop II, Athens, GA.
Parkan, C. (1996b). Measuring the performance of hotel operations. Socio-Economic Planning Sciences, 30(4), 257–292. https://doi.org/10.1108/01443570210427695
Parkan, C. (2002). Measuring the operational performance of public transit company. International Journal of Operations & Production Management, 22(6), 693-720. https://doi.org/10.1108/01443570210427695
Parkan, C. (2003). Measuring the effect of a new point of sale system on the performance of drugstore operations. Computers & Operations Research, 30(4), 729-744. https://doi.org/10.1016/S0305-0548(02)00047-3
Parkan, C. (2005). Benchmarking operational performance: the case of two hotels. International Journal of Productivity and Performance Management, 54(8), 679-696. https://doi.org/10.1108/17410400510627525
Parkan, C. ve Wu, M. L. (1996, 18-20 Ağustos). Selection of a manufacturing process with multiple benefit attributes. International Conference on Engineering and Technology Management. Managing Virtual Enterprises: A Convergence of Communications, Computing, and Energy Technologies (IEMC) içinde (s. 447-452). Vancouver, Canada. https://doi.org/10.1109/IEMC.1996.547858
Parkan, C. ve Wu, M. L. (1997). On the equivalence of operational performance measurement and multiple attribute decision making. International Journal of Production Research, 35(11), 2963-2988. https://doi.org/10.1080/002075497194246
Parkan, C. ve Wu, M. L. (1997). On the equivalence of operational performance measurement and multiple attribute decision making. International Journal of Production Research, 35(11), 2963-2988. https://doi.org/10.1080/002075497194246
Parkan, C. ve Wu, M.L. (1998). Process selection with multiple objective and subjective attributes. Production Planning & Control, 9(2), 189–200. https://doi.org/10.1080/095372898234415
Parkan, C. ve Wu, M.L. (1999a). Measurement of the performance of an investment bank using the operational competitiveness rating procedure. Omega, 27(2), 201-217. https://doi.org/10.1016/S0305-0483(98)00041-3
Parkan, C. ve Wu, M.L. (1999b). Measuring the performance of operations of Hong Kong’s manufacturing industries. European Journal of Operational Research, 118(2), 235-258. https://doi.org/10.1016/S0377-2217(99)00023-5
Parkan, C. ve Wu, M.L. (1999c). Decision-making and performance measurement models with applications to robot selection. Computers & Industrial Engineering, 36(3), 503–523. https://doi.org/10.1016/S0360-8352(99)00146-1
Parkan, C. ve Wu, M.L. (2000). Comparison of three modern multicriteria decision-making tools. International Journal of Systems Science, 31(4), 497-517. https://doi.org/10.1080/002077200291082
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
Saputri, E. G. ve Widodo, W. (2023). The effect of logistics performance on manufacturing exports: a case study of Asia Pacific Economic Cooperation (APEC) countries 2010-2018. Jurnal Ilmu Ekonomi Terapan, 8(1), 116-128. https://doi.org/10.20473/jiet.v8i1.42638
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
Shepherd, B. ve Sriklay, T. (2021). Extending and understanding: An application of machine learning to the World Bank’s logistics performance index. International Journal of Physical Distribution & Logistics Management, 53(8), 985-1014. https://doi.org/10.1108/IJPDLM-06-2022-0180
Sofyalıoğlu, Ç. ve Kartal, B. (2013, 17-18 Eylül). Türkiye ve Avrasya ekonomik topluluğu ülkelerinin lojistik performans indekslerinin karşılaştırılması ve bazı çıkarımlar. International Conference on Eurasian Economies içinde (s. 524-531). St. Petersburg, Rusya. https://doi.org/10.36880/C04.00766
Song, M. J. ve Lee, H. Y. (2022). The relationship between international trade and logistics performance: A focus on the South Korean industrial sector. Research in Transportation Business & Management, 44, 100786. https://doi.org/10.1016/j.rtbm.2022.100786
Stanujkic, D., Zavadskas, E. K., Liu, S., Karabasevic, D. ve Popovic, G. (2017). Improved OCRA method based on the use of interval grey numbers. The Journal of Grey System, 29(4), 49-60.
Stojanovic, D. ve Ivetic, J. (2020). Possibilities of using Incoterms clauses in a country logistics performance assessment and benchmarking. Transportation Policy, 98, 217-228. https://doi.org/10.1016/j.tranpol.2020.03.012
Tuş Işık, A. ve Aytaç Adalı, E. (2016). A new integrated decision making approach based on SWARA and OCRA methods for the hotel selection problem. International Journal of Advanced Operations Management, 8(2), 140-151. https://doi.org/10.1504/IJAOM.2016.079681
Türkoğlu, M. ve Duran, G. (2023). G20 ülkelerinin lojistik performanslarının CRITIC tabanlı GİA ve WASPAS uygulaması ile değerlendirilmesi. Hukuk ve İktisat Araştırmaları Dergisi, 15(1), 50-72. https://doi.org/10.53881/hiad.1247196
Uca, N., Civelek, M. E. ve Çemberci, M. (2015). The effect of the components of logistics performance index on gross domestic product: conceptual model proposal. Eurasian Academy of Sciences Eurasian Business & Economic Journal, 1, 86-93. https://dx.doi.org/10.17740/eas.econ.2015-V1-04
Ulkhaq, M. M. (2023). Clustering countries according to the logistics performance index. Journal of Technical Informatics and System Information, 10(4), 1010-1018. https://doi.org/10.35957/jatisi.v10i1.4755.
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
Wang, M. L. ve Choi, C. H. (2018). How logistics performance promote the international trade volume? A comparative analysis of developing and developed countries. International Journal of Logistics Economics and Globalisation, 7(1), 49-70. https://doi.org/10.1504/IJLEG.2018.090504
World Bank. (2024, 7 Mayıs). Logistic performance index (LPI). https://lpi.worldbank.org/sites/default/files/2023-04/LPI_2023_report_with_layout.pdf
Yurdakul, E. M. (2020). Türkiye’de lojistik sektörü ve ekonomik büyüme arasındaki ilişkinin VAR analizi ile incelenmesi. Sosyal Ekonomik Araştırmalar Dergisi, 20(40), 174-185. https://doi.org/10.30976/susead.707425
Yusufkhonov, Z., Ravshanov, M., Kamalov, A. ve Kamalov, E. (2021). Improving the position of the logistics performance index of Uzbekistan. E3S Web of Conferences, 264, 05028. https://doi.org/10.1051/e3sconf/202126405028
Yüksekyıldız, E. (2021). ENTROPİ ve EATWOS yöntemleri ile Türkiye konteyner limanlarının verimlilik analizi. Verimlilik Dergisi, (2), 3-24. https://doi.org/10.51551/verimlilik.660708
Zolfani, S. H., Görçün, Ö. F., Çanakçıoğlu, M. ve Tirkolaee, E. B. (2023). Efficiency analysis technique with input and output satisficing approach based on Type-2 Neutrosophic Fuzzy Sets: A case study of container shipping companies. Expert Systems with Applications, 218: 119596. https://doi.org/10.1016/j.eswa.2023.119596

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

Yıl 2024, , 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

Ababou, M. ve Benomar, I. (2024). Insights into the interplay between macroeconomic factors and logistics performance index. Journal of Namibian Studies: History Politics Culture, 40, 413-435. https://doi.org/10.59670/jsf7q813 https://doi.org/10.59670/jsf7q813
Aksungur, M. ve Bekmezci, M. (2020). Türkiye’nin lojistik performansının değerlendirilmesi boylamsal bir araştırma. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi, 7(12), 19-40. https://dergipark.org.tr/tr/pub/iisbf/issue/54695/647883
Alnıpak, S. (2022). Liman operasyonel verimliliğinin karlılık ile ilişkisi: TCDD limanları üzerine bir araştırma. Maliye ve Finans Yazıları, (118), 239-256. https://doi.org/10.33203/mfy.1150928
Alnıpak, S., Isikli, E. ve Apak, S. (2023). The propellants of the Logistics Performance Index: an empirical panel investigation of the European region. International Journal of Logistics Research and Applications, 26(7), 894-916. https://doi.org/10.1080/13675567.2021.1998397
Aytekin, A. (2020). Çok kriterli karar problemine uzaklık ve referans temelli çözüm yaklaşımı. https://hdl.handle.net/11494/2558
Aytekin, A. (2020). Türkiye’de önde gelen şirketlerin etkinlik, farklılık ve performans ölçümü. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 21(4), 19-35. https://dergipark.org.tr/tr/pub/anadoluibfd/issue/59038/827385
Aytekin, A. (2022). Çok kriterli karar analizi. https://hdl.handle.net/11494/4808
Aytekin, A. ve Durucasu, H. (2021). Nearest solution to references method for multicriteria decision-making problems. Decision Science Letters, 10(2), 111-128. https://hdl.handle.net/11494/2830
Aytekin, A., Ecer, F., Korucuk, S. ve Karamaşa, Ç. (2022). Global innovation efficiency assessment of EU member and candidate countries via DEA-EATWIOS multi-criteria methodology. Technology in Society, 68, 101896. https://doi.org/10.1016/j.techsoc.2022.101896
Aytekin, A., Görçün, Ö. F., Ecer, F., Pamucar, D. ve Karamaşa, Ç. (2023b). Foreign market selection of suppliers through a novel REF-Sort technique. Kybernetes, 52(11), 4958-4992. https://doi.org/10.1108/K-03-2022-0459
Aytekin, A., Korucuk, S. ve Karamaşa, Ç. (2023). Ranking countries according to logistics and international trade efficiencies via REF-III. J. Intell. Manag. Decis, 2, 74-84. https://doi.org/10.56578/jimd020204
Bakucs, Z., Fertő, I., Fogarasi, J., Tóth, J. ve Latruffe, L. (2011, February). Assessment of the impact of EU accession upon farms’ performance in the New Member States with special emphasis on the farm type. (FACEPA Deliverable No. D 5.3). http://prodinra.inra.fr/ft/47343A34-EC0F-4B67-AA00-11C5788D3248
Bansal, A., Kr. Singh, R., Issar, S. ve Varkey, J. (2014). Evaluation of vendors ranking by EATWOS approach. Journal of Advances in Management Research, 11(3), 290-311. https://doi.org/10.1108/JAMR-02-2014-0009
Barakat, M., Madkour, T. ve Moussa, A. M. (2023). The role of logistics performance index on trade openness in Europe. International Journal of Economics and Business Research, 25(3), 379-394. https://doi.org/10.1504/IJEBR.2023.129967
Beškovnik, B. (2010). Managing and organizational changes of intermodal network in transition regions: the case of South-East Europe. Transport problems, 5(2), 37-47.
Beškovnik, B. ve Twrdy, E. (2015). Developing regional approach for transport industry: the role of port system in the Balkans. Transport, 30(4), 437-447. https://doi.org/10.3846/16484142.2014.938696
Beysenbaev, R. ve Dus, Y. (2020). Proposals for improving the Logistics Performance Index. Asian Journal of Shipping and Logistics, 36(1), 34-42. https://doi.org/10.1016/j.ajsl.2019.10.001
Bilgin, T. ve Sunaoğlu, Ş. K. (2022). Lojistik performans ve uluslararası ticaret ilişkisi üzerine alanyazın incelemesi. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (53), 325-344. https://doi.org/10.30794/pausbed.1105239
Bozkurt, C. ve Mermertaş, F. (2019). Türkiye ve G8 ülkelerinin lojistik performans endeksine göre karşılaştırılması. İşletme ve İktisat Çalışmaları Dergisi, 7(2), 107-117. https://dergipark.org.tr/tr/download/article-file/840193
Bugarčić, F. Ž., Mićić, V. ve Stanišić, N. (2023). The role of logistics in economic growth and global competitiveness. Zbornik Radova Ekonomski Fakultet u Rijeka, 41(2), 499-520. https://doi.org/10.18045/zbefri.2023.2.499
Cakranegara, P. A., Budiastuti, A. ve Simanjorang, T. M. (2022). Determining the company marketing sales perfomance using the operational competitiveness rating analysis (OCRA) method. Enrichment: Journal of Management, 12(5), 3996-4002. https://doi.org/10.35335/enrichment.v12i5.986
Chatterjee, P. (2013). Applications of preference ranking-based methods for decision-making in manufacturing environment. PhD Thesis, Jadavpur University. Kolkata. http://hdl.handle.net/10603/175990
Chatterjee, P. ve Chakraborty, S. (2012). Material selection using preferential ranking methods. Material and Design, 35, 384-393. https://doi.org/10.1016/j.matdes.2011.09.027
Chatterjee, P. ve Chakraborty, S. (2014). Flexible manufacturing system selection using preference ranking methods: A comparative study. International Journal of Industrial Engineering Computations, 5, 315–338. http://dx.doi.org/10.14743/apem2014.1.172
Coto-Millán, P., Agüeros, M., Casares-Hontañón, P. ve Pesquera, M. Á. (2013). Impact of logistics performance on world economic growth (2007–2012). World Review of Intermodal Transportation Research, 4(4), 300-310. https://doi.org/10.1504/WRITR.2013.059857
Çaloğlu Büyükselçuk, E. ve Tozan, H. (2022). Elektrikli araçların performanslarının CRITIC-EATWIOS ile değerlendirilmesi. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 10(4), 1670-1688. https://dergipark.org.tr/tr/pub/dubited/issue/73115/1002851
Çanakçıoğlu, M. (2019). Borsa İstanbul’da işlem gören çimento firmalarının Entropi-EATWIOS bütünleşik yaklaşımı ile finansal performanslarının değerlendirmesi. Yaşar Üniversitesi E-Dergisi, 14(56), 407-421. https://dergipark.org.tr/tr/pub/jyasar/issue/49978/570324
Çelebi, Ü., Civelek, M. E., ve Çemberci, M. (2015). The mediator effect of foreign direct investments on the relation between logistics performance and economic growth. Journal of Global Strategic Management, 17. https://ssrn.com/abstract=3338308
Çilek, A. ve Karavardar, A. (2023). Hibrit Entropi ve EATWIOS teknikleri ile Türk kamu bankalarının verimlilik analizi. Business & Management Studies: An International Journal, 11(1), 136-151. https://doi.org/10.15295/bmij.v11i1.2185
Darji, V. P. ve Rao, R. V. (2014). Intelligent multi criteria decision making methods for material selection in sugar industry. Procedia Materials Science, 5, 2585-2594. https://doi.org/10.1016/j.mspro.2014.07.519
Doğan, H. (2020). Türkiye ve AB ülkelerinin AR-GE verimliliklerinin ENTROPİ-EATWOS yöntemleri ile karşılaştırılması. Karadeniz Sosyal Bilimler Dergisi, 12(23), 515-533. https://doi.org/10.38155/ksbd.792763
Duleba, S. ve Moslem, S. (2018). Sustainable urban transport development with stakeholder participation, an AHP-Kendall model: A case study for Mersin. Sustainability, 10(10), 3647. https://doi.org/10.3390/su10103647
Emirkadı, Ö. ve Balcı, H. (2018). Lojistik sektörü ve Türkiye dış ticaretine etkileri. Journal of Institute of Economic Development and Social Researches, 4(8), 123-132. https://dergipark.org.tr/tr/pub/iksad/issue/51695/671144
Erdoğan, A. (2024). Türkiye’de lojistik sektörünün SWOT analizi. The Journal of Social Sciences, (47), 108-116. http://dx.doi.org/10.29228/SOBIDER.45558
Eurostat. (2024, 7 Mayıs). Real GDP per capita. https://doi.org/10.2908/SDG_08_10
Gani, A. (2017). The logistics performance effect in international trade. The Asian journal of shipping and logistics, 33(4), 279-288. https://doi.org/10.1016/j.ajsl.2017.12.012
Göçer, A., Özpeynirci, Ö. ve Semiz, M. (2022). Logistics performance index-driven policy development: An application to Turkey. Transport Policy, 124, 20-32. https://doi.org/10.1016/j.tranpol.2021.03.007
Görçün, Ö. F. (2019). Orta Asya Türk Cumhuriyetlerinin lojistik ve taşımacılık performansları ve verimliliklerinin analizi için hibrid birçok kriterli karar verme modeli. MANAS Sosyal Araştırmalar Dergisi, 8(3), 2775-2798. https://doi.org/10.33206/mjss.511522
Gürler, H. E., Özçalıcı, M. ve Pamucar, D. (2024). Determining criteria weights with genetic algorithms for multi-criteria decision making methods: The case of logistics performance index rankings of European Union countries. Socio-Economic Planning Sciences, 91, 101758. https://doi.org/10.1016/j.seps.2023.101758
Jayathilaka, R., Jayawardhana, C., Embogama, N., Jayasooriya, S., Karunarathna, N., Gamage, T. ve Kuruppu, N. (2021). Gross domestic product and logistics performance index drive the world trade: A study based on all continents. PLoS ONE, 17(2), e0264474. https://doi.org/10.1371/journal.pone.0264474
Kahsai, M. S. ve Eyob, E. (2022). Causal relationship of logistics performance gross domestic product and governance. Journal of Applied Business and Economics, 24(4). https://articlearchives.co/index.php/JABE/article/view/5264/5225
Kalansuriya, N., De Silva, S., Perera, N., Wanigarathna, B., Jayathilaka, R., Paranavitana, P. ve Arachchige, S. C. (2023). Analysing the influence of logistics, corruption, FDI and GDP on global competitiveness: A cross-sectional study. Journal of the Knowledge Economy, 1-20. https://doi.org/10.1007/s13132-023-01615-z
Kálmán, B. ve Tóth, A. (2021). Links between the economy competitiveness and logistics performance in the Visegrád Group countries: Empirical evidence for the years 2007-2018. Entrepreneurial Business and Economics Review, 9(3), 169-190. https://doi.org/10.15678/eber.2021.090311
Karaman Kabadurmuş, F. N. (2019). The relationship between logistics performance and innovation: An empirical study of Turkish firms. Alphanumeric Journal, 7(2), 157-172. https://doi.org/10.17093/alphanumeric.614170
Karp, P. (2024). Components of the polish LPI in relation to macroeconomic variables. Cointegration analysis. Zeszyty Naukowe. Organizacja i Zarządzanie/Politechnika Śląska. http://dx.doi.org/10.29119/1641-3466.2024.191.17
Kendall, M. G. (1948). Rank correlation methods. https://doi.org/10.2307/2333282
Khan, S. A. R., Qianli, D., SongBo, W., Zaman, K. ve Zhang, Y. (2017). Travel and tourism competitiveness index: The impact of air transportation, railways transportation, travel and transport services on international inbound and outbound tourism. Journal of Air Transport Management, 58, 125-134. https://doi.org/10.1016/j.jairtraman.2016.10.006
Koç, E., Desticioğlu, B. ve Şimşek, A. İ. (2021). ABD konteyner limanlarının toplam faktör verimliliklerinin karşılaştırılması. Avrupa Bilim ve Teknoloji Dergisi, (27), 823-831. https://doi.org/10.31590/ejosat.992850
Kumari, M. ve Bharti, N. (2021). Trade and logistics performance: does country size matter?. Maritime Economics & Logistics, 23, 401-423. https://doi.org/10.1057/s41278-021-00188-5
Kundakcı, N. (2019). A comparative analyze based on EATWOS and OCRA methods for supplier evaluation. Alphanumeric Journal, 7(1), 103-112. https://doi.org/10.17093/alphanumeric.477322
Küçük, Ü. (2022). Lojistik faaliyetlerde yaşanan sorunlar ve çözüm önerileri gıda firması örneği. Eğitim Yayınevi.
Larson, P. D. (2021). Relationships between logistics performance and aspects of sustainability: A cross-country analysis. Sustainability, 13(1), 623. https://doi.org/10.3390/su13020623
Leal, E. (2011). Logistics platforms as a pivotal element in competitiveness and sustainability. Facilitation of Transport and Trade in Latin America and the Caribbean, FAL Bulletin, 302(10), 1–9. https://repositorio.cepal.org/server/api/core/bitstreams/6eaaa54b-5761-4750-a119-46e84817b5ed/content
Lukić, R. (2024). Application of the REF method in the evaluation of trade efficiency in Serbia. Review of International Comparative Management, 25(1), 51-69. https://doi.org/10.24818/RMCI.2024.1.51
Lukić, R. ve Zekić, B. H. (2021, 7-8 Ekim). Evaluation of transportation and storage efficiency in Serbia based on ratio analysis and the OCRA method. 21st International Scientific Conference Business Logistics in Modern Management içinde (s. 189-200). Osijek, Croatia. https://www.efos.unios.hr/repec/osi/bulimm/PDF/BusinessLogisticsinModernManagement21/blimm2111.pdf
Madić, M., Petković, D. ve Radovanović, M. (2015). Selection of non-conventional machining processes using the OCRA method. Serbian Journal of Management, 10(1), 61-73. https://doi.org/10.5937/sjm10-6802
Martí, L., Puertas, R. ve García, L. (2014). The importance of the logistics performance index in international trade. Applied Economics, 46(24), 2982-2992. https://doi.org/10.1080/00036846.2014.916394
Mhlanga, S, T. ve Lall, M. (2021, 3-6 Aralık). Influence of normalization technique on multi-criteria decision-making methods. 2nd International Symposium on Automation, Information and Computing (ISAIC 2021) içinde (s. 1-12). Online. https://doi.org/10.1088/1742-6596/2224/1/012076
Mishra, A. R., Rani, P., Cavallaro, F., Hezam, I. M. ve Lakshmi, J. (2023). An integrated intuitionistic fuzzy closeness coefficient-based OCRA method for sustainable urban transportation options selection. Axioms, 12(2), 144. https://doi.org/10.3390/axioms12020144
Nguyen, T. C. ve Le, T. H. (2024). Financial crises and the national logistics performance: Evidence from emerging and developing countries. International Journal of Finance & Economics, 29(2), 1834-1855. https://doi.org/10.1002/ijfe.2768
Özbek, A. (2015a). Performance analysis of public banks in Turkey. International Journal of Business Management and Economic Research, 6(3), 178-186. https://www.ijbmer.com/docs/volumes/vol6issue3/ijbmer2015060303.pdf
Özbek, A. (2015b). Efficiency analysis of foreign-capital banks in Turkey by OCRA and MOORA environment. Research Journal of Finance and Accounting, 6(13), 21-31. https://core.ac.uk/download/pdf/234630854.pdf
Özbek, A. (2015c). Efficiency analysis of the Turkish red crescent between 2012 and 2014. International Journal of Economics and Finance, 7(9), 322-334. http://dx.doi.org/10.5539/ijef.v7n9p322
Özbek, A. Ş. I. R. (2015c). Operasyonel rekabet değerlendirmesi (OCRA) yöntemiyle mevduat bankalarının etkinlik ölçümü. Social Sciences, 10(3), 120-134. https://doi.org/10.12739/nwsa.2015.10.3.3c0132
Özdağoğlu, A. (2018). BİST sınai işletmelerinin Gri Entropi-EATWIOS bütünleşik yaklaşımı ile performans değerlendirmesi. Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi, 19(2), 271-299. https://doi.org/10.24889/ifede.415061
Özdemir, M. H. (2021). Effizienzanalyse für laptops mit der integrierten Entropie-EATWIOS-methode. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 11(2), 717-736. http://hdl.handle.net/20.500.11787/6055
Özgür, M. I., Demirtaş, C., Bağcı, H., Yıldırım, E. S. ve Ertuğrul, G. (2023). Türk kamu ve özel şeker fabrikalarının etkinlik ve verimlilik analizi: CRITIC VE EATWIOS Yönteminden Kanıtlar1. https://acikerisim.aksaray.edu.tr/dx.doi.org/10.25287/ohuiibf.1160049
Pala, O. (2023). MEREC-CORR ve SAW temelli lojistik performans değerlendirme. Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(25), 117-135. https://doi.org/10.53092/duiibfd.1130928
Parkan, C. (1994). Operational competitiveness ratings of production units. Managerial and Decision Economics, 15(3), 201-221. https://doi.org/10.1002/mde.4090150303
Parkan, C. (1996a). Performance measurement for a subway system in Hong Kong. The Georgia Productivity Workshop II, Athens, GA.
Parkan, C. (1996b). Measuring the performance of hotel operations. Socio-Economic Planning Sciences, 30(4), 257–292. https://doi.org/10.1108/01443570210427695
Parkan, C. (2002). Measuring the operational performance of public transit company. International Journal of Operations & Production Management, 22(6), 693-720. https://doi.org/10.1108/01443570210427695
Parkan, C. (2003). Measuring the effect of a new point of sale system on the performance of drugstore operations. Computers & Operations Research, 30(4), 729-744. https://doi.org/10.1016/S0305-0548(02)00047-3
Parkan, C. (2005). Benchmarking operational performance: the case of two hotels. International Journal of Productivity and Performance Management, 54(8), 679-696. https://doi.org/10.1108/17410400510627525
Parkan, C. ve Wu, M. L. (1996, 18-20 Ağustos). Selection of a manufacturing process with multiple benefit attributes. International Conference on Engineering and Technology Management. Managing Virtual Enterprises: A Convergence of Communications, Computing, and Energy Technologies (IEMC) içinde (s. 447-452). Vancouver, Canada. https://doi.org/10.1109/IEMC.1996.547858
Parkan, C. ve Wu, M. L. (1997). On the equivalence of operational performance measurement and multiple attribute decision making. International Journal of Production Research, 35(11), 2963-2988. https://doi.org/10.1080/002075497194246
Parkan, C. ve Wu, M. L. (1997). On the equivalence of operational performance measurement and multiple attribute decision making. International Journal of Production Research, 35(11), 2963-2988. https://doi.org/10.1080/002075497194246
Parkan, C. ve Wu, M.L. (1998). Process selection with multiple objective and subjective attributes. Production Planning & Control, 9(2), 189–200. https://doi.org/10.1080/095372898234415
Parkan, C. ve Wu, M.L. (1999a). Measurement of the performance of an investment bank using the operational competitiveness rating procedure. Omega, 27(2), 201-217. https://doi.org/10.1016/S0305-0483(98)00041-3
Parkan, C. ve Wu, M.L. (1999b). Measuring the performance of operations of Hong Kong’s manufacturing industries. European Journal of Operational Research, 118(2), 235-258. https://doi.org/10.1016/S0377-2217(99)00023-5
Parkan, C. ve Wu, M.L. (1999c). Decision-making and performance measurement models with applications to robot selection. Computers & Industrial Engineering, 36(3), 503–523. https://doi.org/10.1016/S0360-8352(99)00146-1
Parkan, C. ve Wu, M.L. (2000). Comparison of three modern multicriteria decision-making tools. International Journal of Systems Science, 31(4), 497-517. https://doi.org/10.1080/002077200291082
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
Saputri, E. G. ve Widodo, W. (2023). The effect of logistics performance on manufacturing exports: a case study of Asia Pacific Economic Cooperation (APEC) countries 2010-2018. Jurnal Ilmu Ekonomi Terapan, 8(1), 116-128. https://doi.org/10.20473/jiet.v8i1.42638
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
Shepherd, B. ve Sriklay, T. (2021). Extending and understanding: An application of machine learning to the World Bank’s logistics performance index. International Journal of Physical Distribution & Logistics Management, 53(8), 985-1014. https://doi.org/10.1108/IJPDLM-06-2022-0180
Sofyalıoğlu, Ç. ve Kartal, B. (2013, 17-18 Eylül). Türkiye ve Avrasya ekonomik topluluğu ülkelerinin lojistik performans indekslerinin karşılaştırılması ve bazı çıkarımlar. International Conference on Eurasian Economies içinde (s. 524-531). St. Petersburg, Rusya. https://doi.org/10.36880/C04.00766
Song, M. J. ve Lee, H. Y. (2022). The relationship between international trade and logistics performance: A focus on the South Korean industrial sector. Research in Transportation Business & Management, 44, 100786. https://doi.org/10.1016/j.rtbm.2022.100786
Stanujkic, D., Zavadskas, E. K., Liu, S., Karabasevic, D. ve Popovic, G. (2017). Improved OCRA method based on the use of interval grey numbers. The Journal of Grey System, 29(4), 49-60.
Stojanovic, D. ve Ivetic, J. (2020). Possibilities of using Incoterms clauses in a country logistics performance assessment and benchmarking. Transportation Policy, 98, 217-228. https://doi.org/10.1016/j.tranpol.2020.03.012
Tuş Işık, A. ve Aytaç Adalı, E. (2016). A new integrated decision making approach based on SWARA and OCRA methods for the hotel selection problem. International Journal of Advanced Operations Management, 8(2), 140-151. https://doi.org/10.1504/IJAOM.2016.079681
Türkoğlu, M. ve Duran, G. (2023). G20 ülkelerinin lojistik performanslarının CRITIC tabanlı GİA ve WASPAS uygulaması ile değerlendirilmesi. Hukuk ve İktisat Araştırmaları Dergisi, 15(1), 50-72. https://doi.org/10.53881/hiad.1247196
Uca, N., Civelek, M. E. ve Çemberci, M. (2015). The effect of the components of logistics performance index on gross domestic product: conceptual model proposal. Eurasian Academy of Sciences Eurasian Business & Economic Journal, 1, 86-93. https://dx.doi.org/10.17740/eas.econ.2015-V1-04
Ulkhaq, M. M. (2023). Clustering countries according to the logistics performance index. Journal of Technical Informatics and System Information, 10(4), 1010-1018. https://doi.org/10.35957/jatisi.v10i1.4755.
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
Wang, M. L. ve Choi, C. H. (2018). How logistics performance promote the international trade volume? A comparative analysis of developing and developed countries. International Journal of Logistics Economics and Globalisation, 7(1), 49-70. https://doi.org/10.1504/IJLEG.2018.090504
World Bank. (2024, 7 Mayıs). Logistic performance index (LPI). https://lpi.worldbank.org/sites/default/files/2023-04/LPI_2023_report_with_layout.pdf
Yurdakul, E. M. (2020). Türkiye’de lojistik sektörü ve ekonomik büyüme arasındaki ilişkinin VAR analizi ile incelenmesi. Sosyal Ekonomik Araştırmalar Dergisi, 20(40), 174-185. https://doi.org/10.30976/susead.707425
Yusufkhonov, Z., Ravshanov, M., Kamalov, A. ve Kamalov, E. (2021). Improving the position of the logistics performance index of Uzbekistan. E3S Web of Conferences, 264, 05028. https://doi.org/10.1051/e3sconf/202126405028
Yüksekyıldız, E. (2021). ENTROPİ ve EATWOS yöntemleri ile Türkiye konteyner limanlarının verimlilik analizi. Verimlilik Dergisi, (2), 3-24. https://doi.org/10.51551/verimlilik.660708
Zolfani, S. H., Görçün, Ö. F., Çanakçıoğlu, M. ve Tirkolaee, E. B. (2023). Efficiency analysis technique with input and output satisficing approach based on Type-2 Neutrosophic Fuzzy Sets: A case study of container shipping companies. Expert Systems with Applications, 218: 119596. https://doi.org/10.1016/j.eswa.2023.119596

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

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.

Makale Dosyaları

Tam Metin

Bu dergide yayınlanan tüm makaleler Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı ile lisanslanmıştır.