SavedAdd your journal

Journals / Verimlilik Dergisi / 2026 / Sayı: PRODUCTIVITY FOR LOGISTICS Özel Sayı

How Criteria Weights Influence Performance in Evaluating Logistic Productivity: An Application in the Emerging Markets Logistics Index

Lojistik Verimliliğini Değerlendirmede Kriter Ağırlıkları Performansı Nasıl Etkiliyor: Yeni Gelişen Pazarlar Lojistik Endeksinde Bir Uygulama

Elif Bulut(ONDOKUZ MAYIS ÜNİVERSİTESİ)0000-0001-8278-1821
Seda Abacıoğlu(ONDOKUZ MAYIS ÜNİVERSİTESİ)0000-0002-3150-2770
Pages
1–28
Publication Date
2025-02-03
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Findings: In the study, it was concluded that the weighted values of the criteria are more consistent with the literature.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Purpose: The differences between the criteria affecting the logistics performance of countries and their importance levels are meaningful in terms of policy development processes.
📊
Key Findings & Data:Orginality: It is important that emerging markets provide an opportunity to develop infrastructure to increase logistics productivity and provide a platform for the implementation of new technologies in logistics operations.
💡
Conclusion & Impact:Findings: In the study, it was concluded that the weighted values of the criteria are more consistent with the literature.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Lojistik Verimliliği · AEMLI · MEREC

Abstract

Purpose: The differences between the criteria affecting the logistics performance of countries and their importance levels are meaningful in terms of policy development processes. It has been determined that the criteria are weighted equally in the emerging markets logistics index. For this reason, the study reweighted the criteria of the Emerging Markets Logistics Index and investigated the effects of weighting on the ranking. In this respect, the study aims to make the index more objective. Methodology: In the study, Multi-Criteria Decision Making methods were utilized. Within this context, MEREC (Method Based on the Removal Effects of Criteria) was used to determine the criteria weights, while MABAC (Multi Attributive Border Approximation Area Comparison) and MAIRCA (Multi Attributive Ideal Real Comparative Analysis) methods were preferred to rank the alternatives. Findings: In the study, it was concluded that the weighted values of the criteria are more consistent with the literature. Additionally, the new weights obtained have an effect on the ranking values of the countries. Orginality: It is important that emerging markets provide an opportunity to develop infrastructure to increase logistics productivity and provide a platform for the implementation of new technologies in logistics operations. Furthermore, these markets enable the diversification and development of logistics services through the expanding consumer demand. This study differs from other studies in the literature because it preferred the Agility Emerging Markets Logistics Index (AEMLI) instead of the Logistic Performance Index (LPI) and used MEREC-based MABAC-MAIRCA methods.

Özet

Amaç: Ülkelerin lojistik performanslarını etkileyen kriterler arasındaki farklılıklar ve önem dereceleri politika geliştirme süreçleri açısından anlam ifade etmektedir. Yeni gelişen pazarlar lojistik endeksinde kriterlere eşit düzeyde ağırlık verildiği tespit edilmiştir. Bu nedenle çalışmada Yeni Gelişen Pazarlar Lojistik Endeksi’ne ait kriterler yeniden ağırlıklandırılarak, ağırlıklandırmanın sıralamaya olan etkileri araştırılmıştır. Bu yönüyle çalışma incelemeye aldığı endeksi daha objektif hale getirmeyi amaçlamaktadır. Yöntem: Çalışmada ÇKKV yöntemlerinden faydalanılmıştır. Bu çalışmada kriter ağırlıklarının belirlenmesinde MEREC, alternatiflerin sıralanmasında ise MABAC ve MAIRCA yöntemleri tercih edilmiştir. Bulgular: Çalışmada kriterlerin ağırlıklandırılmış değerlerinin literatür ile daha uyumlu olduğu sonucuna ulaşılmıştır. Ayrıca elde edilen yeni ağırlıkların ise ülkelerin sıra değerleri üzerinde etkisi olduğu görülmüştür. Özgünlük: Yeni gelişen pazarlar, lojistik verimliliği artırmak için altyapı geliştirme ve yeni teknolojilerin uygulanmasına zemin sağlamaktadır. Ayrıca, genişleyen tüketici talebi ile lojistik hizmetlerin çeşitlenmesine ve gelişmesine olanak tanımaktadır. Bu çalışma, Logistic Performance Index (LPI) yerine Agility Emerging Markets Logistics Index (AEMLI)'yi tercih etmesi ve MEREC tabanlı MABAC-MAIRCA yöntemlerini kullanmasıyla literatürdeki diğer çalışmalardan ayrılmaktadır.

🔖

Cite This Article

Bulut, E., Abacıoğlu, S. (2025). How Criteria Weights Influence Performance in Evaluating Logistic Productivity: An Application in the Emerging Markets Logistics Index. Verimlilik Dergisi, Sayı: PRODUCTIVITY FOR LOGISTICS Özel Sayı, 1–28. https://doi.org/10.51551/verimlilik.1518693

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (127)

  1. Agility (2022). “Agility Emerging Markets Logistics Index”. https://www.agility.com/wp-content/uploads/2022/02/Agility-Emerging-Markets-Logistics-Index2022.pdf, (Access Date: 09.07.2024).
  2. Agility (2023). “Agility Emerging Markets Logistics Index”. https://www.agility.com/wp-content/uploads/2023/02/Agility-Emerging-Markets-Logistics-Index-2023-EN.pdf, (Access Date: 09.07.2024).
  3. Agility (2024). “Agility Emerging Markets Logistics Index”. https://emli.agility.com/wp-content/uploads/2024/02/Agility-Emerging-Markets-Logistics-Index-2024.pdf, (Access Date: 09.07.2024).
  4. Al-Ababneh, H.A., Dumanska, I., Derkach, E., Sokhetska, A. and Kemarska, L. (2021). “Integration of Logistics Systems of Developing Countries into International Logistics Channels”, Acta Logistica, 8(4), 329-340. https://doi.org/10.22306/al.v8i4.234
  5. Alazzawi, A. and Żak, J. (2020). “MCDM/A Based Design of Sustainable Logistics Corridors Combined with Suppliers Selection: The Case Study of Freight Movement to Iraq”, Transportation Research Procedia, 47, 577-584. https://doi.org/10.1016/j.trpro.2020.03.134
  6. Alıcı, S.Y and Ertuğrul, İ. (2024). “Human Resources Management Application Selection with Fuzzy MAIRCA Method Based on Fuzzy PIPRECIA”, Pamukkale Üniversitesi İşletme Araştırmaları Dergisi, 11(1), 67-81. https://doi.org/10.47097/piar.1427355
  7. Almalki, M. and Alkahtani, M. (2022). “Allocation of Regional Logistics Hubs and Assessing Their Contribution to Saudi Arabia’s Logistics Performance Index Ranking”, Sustainability, 14(12), 7474.
  8. Altıntaş, F.F. (2021). “Avrupa Birliği Ülkelerinin Lojistik Performanslarının CRITIC Tabanlı WASPAS ve COPRAS Teknikleri ile Analizi”, Türkiye Sosyal Araştırmalar Dergisi, 25(1), 117-146.
  9. Argyrou, K. (2014). “Exploring the Logistics Sector in Bangladesh: Opportunities, Threats and Practical Information”, Netherlands Bangladesh Business Platform Published, Breukelen.
  10. Arsu, T. and Ayçin, E. (2021). “Evaluation of OECD Countries with Multicriteria Decision-Making Methods in Terms of Economic, Social and Environmental Aspects”, Operational Research in Engineering Sciences: Theory and Applications, 4(2), 55-78. https://doi.org/10.31181/oresta20402055a
  11. Arvis,J.F., Wiederer, C.K., Ojala, L.M., Shepherd, B.A., Raj, A.U.L., Dairabayeva, K.S. and Kiiski, T.M.M. (2018) “Connecting to Compete 2018: Trade Logistics in the Global Economy - The Logistics Performance Index and Its Indicators: Connecting to Compete 2018: Trade Logistics in the Global Economy - The Logistics Performance Index and Its Indicators (English)”, World Bank Group, Washington, D.C.
  12. Ayçin, E. (2020). “Personel Seçim Sürecinde CRITIC ve MAIRCA Yöntemlerinin Kullanılması”, İşletme, 1(1), 1-12.
  13. Azhigali, A.B. (2023). “Digitalization and Digital Literacy in Logistics: Preparedness of the Employees for a Digital Transformation”, Doctoral dissertation. Åbo Akademi University, Åbo.
  14. Bakan, İ. and Şekkeli, Z.H. (2017). “Lojistik Yönetimi”, Seçkin Yayıncılık, Ankara.
  15. Baker, D., Bridges, D., Hunter, R., Johnson, G., Krupa, J., Murphy, J. and Sorenson, K. (2002). “Guidebook to Decision Making Methods”, WSRC-IM-2002-00002. Department of Energy, USA.
  16. Bamyacı, M. (2008). “Modern Lojistik Yönetimi: Organize Lojistik Bölgeleri için Bir Yer Seçim Modeli”, Unpublished PhD Thesis. İstanbul University Institute Of Graduate Studies In Sciences, İstanbul.
  17. Barasin, A.M., Alqahtani, A.Y. and Makki, A.A. (2024). “Performance Evaluation of Retail Warehouses: A Combined MCDM Approach Using G-BWM and RATMI”, Logistics, 8(1), 10. https://doi.org/10.3390/logistics8010010
  18. Barilla, D., Carlucci, F., Cirà, A., Ioppolo, G. and Siviero, L. (2020). “Total Factor Logistics Productivity: A Spatial Approach to the ITALIAN Regions”, Transportation Research Part A: Policy and Practice, 136, 205-222. https://doi.org/10.1016/j.tra.2020.03.033
  19. Bayraktutan, Y. and Özbilgin, M. (2015). “Lojistik Maliyetler ve Lojistik Performans Ölçütleri”, Maliye Araştırmaları Dergisi, 1(1), 95-112.
  20. Beysenbaev, R. (2018). “The Importance of Country-Level Logistics Efficiency Assessment to the Development of International Trade”, British Journal for Social and Economic Research, 3(6), 13-20. https://doi.org/10.22406/bjser-18-3.6-13-20
  21. Candemir, Y. and Çelebi, D. (2017). “An Inquiry into the Analysis of the Transport & Logistics Sectors’ Role in Economic Development”, Transportation Research Procedia, 25, 4692-4707. https://doi.org/10.1016/j.trpro.2017.05.317
  22. Chejarla, K.C., Vaidya, O.S. and Kumar, S. (2022). “MCDM Applications in Logistics Performance Evaluation: A Literature Review” Journal of Multi‐Criteria Decision Analysis, 29(3-4), 274-297. https://doi.org/10.1002/mcda.1774
  23. Chen, C.L. (2020). “Cross-Disciplinary Innovations by Taiwanese Manufacturing SMEs in the Context of Industry 4.0”, Journal of Manufacturing Technology Management, 6(31), 1145-1168. https://doi.org/10.1108/JMTM-08-2019-0301
  24. Cheng, S.P. and Peng, Q.Y. (2006). “Empirical Analysis on the Effect of Anhui Logistics Industry and Economic Development”, Jiatong Standardization, 2, 186-189.
  25. Choi, T.M. (2021). “Risk Analysis in Logistics Systems: A Research Agenda during and after the COVID-19 Pandemic”, Transportation Research Part E: Logistics and Transportation Review, 145, 102190. https://doi.org/10.1016/j.tre.2020.102190
  26. Chopra, S. and Sodhi, M.S. (2004). “Managing Risk to Avoid Supply-Chain Breakdown”. MIT Sloan Management Review, 46(1), 53-61.
  27. Chu, Z. (2012). “Logistics and Economic Growth: A Panel Data Approach”, The Annals of Regional Science, 49(1), 87-102. https://doi.org/10.1007/s00168-010-0434-0
  28. Clausen, U., De Bock, J. and Lu, M. (2016). “Logistics Trends, Challenges, and Needs for Further Research and Innovation”, Sustainable Logistics and Supply Chains: Innovations and Integral Approaches, (Editors: M. Lu and J.D. Bock), 1-13, Springer Cham. https://doi.org/10.1007/978-3-319-17419-8
  29. Çalık, A., Erdebilli, B. and Özdemir, Y.S. (2023). “Novel Integrated Hybrid Multi-Criteria Decision-Making Approach for Logistics Performance Index”, Transportation Research Record, 2677(2), 1392-1400. https://doi.org/10.1177/036119812211133
  30. Çınaroğlu, E. (2020). “Yenilikçi Girişimlere Ait Faaliyetlerin ENTROPI Destekli MABAC Yöntemi İle Değerlendirilmesi”, Girişimcilik ve İnovasyon Yönetimi Dergisi, 9(1), 111-135.
  31. Demir, G. and Bircan, H. (2020). “Kriter Ağırlıklandırma Yöntemlerinden BWM ve FUCOM Yöntemlerinin Karşılaştırılması ve Bir Uygulama”, Sivas Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 21(2), 170-185. https://doi.org/10.37880/cumuiibf.616766
  32. Démurger, S. (2001). “Infrastructure Development and Economic Growth: An Explanation for Regional Disparities in China”, Journal of Comparative Economics, 29(1), 95-117.
  33. Ecer, F. and Aycin, E. (2023). “Novel Comprehensive MEREC Weighting-Based Score Aggregation Model for Measuring Innovation Performance: The Case of G7 Countries”, Informatica, 34(1), 53-83. https://doi.org/10.15388/22-INFOR494
  34. Eren, H. (2021). “MULTIMOORA Yöntemi İle Lojistik Sektöründe Faaliyet Gösteren Işletmelerin Performans Analizi”, International Başkent Congress on Physical, Social and Health Sciences, 122-134.
  35. Erkan, B. (2014). “Türkiye’de Lojistik Sektörü ve Rekabet Gücü”, ASSAM Uluslararası Hakemli Dergi, 1(1), 44-65.
  36. Ersoy, N. (2022). “OECD ve AB Üyesi Ülkelerin İnovasyon Performanslarının MEREC-MARCOS Bütünleşik Modeli İle Ölçümü”, Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 24(3), 1039-1063. https://doi.org/10.16953/deusosbil.1106249
  37. Eskandaripour, H. and Boldsaikhan, E. (2023). “Last-Mile Drone Delivery: Past, Present, and Future”, Drones, 7(2), 77. https://doi.org/10.3390/drones7020077
  38. Esmeray, M. and Özveri, O. (2023). “Tedarikçi Seçiminde Farklı Çok Kriterli Karar Verme Yöntemlerinden Elde Edilen Sonuçların Karşılaştırılması”, Yaşar Üniversitesi E-Dergisi, 18(72). 587-602. https://doi.org/10.19168/jyasar.1273595
  39. Fan, L. (2019). “The Spatial-Temporal Analysis of the Green Total Factor Productivity of Logistics Industry in China”, 16th International Conference on Service Systems and Service Management (ICSSSM). 1-4.
  40. Galan, N. and Torsein, E. (2021). “Identification of International Opportunities: A Study of Mature Firms in Mature Industries”, Journal of International Entrepreneurship, 19, 53-103. https://doi.org/10.1007/s10843-020-00277-1
  41. 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
  42. Gigović, L., Pamučar, D., Bajić, Z. and Milićević, M. (2016). “The Combination of Expert Judgment and GIS-MAIRCA Analysis for the Selection of Sites for Ammunition Depots”, Sustainability, 8(4), 1-30. https://doi.org/10.3390/su8040372
  43. Goel, R.K., Saunoris, J.W. and Goel, S.S. (2021). “Supply Chain Performance and Economic Growth: The Impact of COVID-19 Disruptions”, Journal of Policy Modeling, 43(2), 298-316. https://doi.org/10.1016/j.jpolmod.2021.01.003
  44. Gülenç, İ.F. and Karagöz, B. (2008). “E-lojistik ve Türkiye’de E-Lojistik Uygulamaları”, Kocaeli Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 15, 73-91.
  45. Gürler, H.E., Özçalıcı, M. and 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
  46. 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.
  47. Işık, Ö. (2022). “Covid-19 Salgının Katılım Bankacılığı Sektörünün Performansına Etkisinin MEREC-PSI-MAIRCA Modeliyle Incelenmesi”, Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 10(2), 363-385. https://doi.org/10.52122/nisantasisbd.1167829
  48. Jusufbašić, A. (2023). “MCDM Methods for Selection of Handling Equipment in Logistics: A Brief Review”, Spectrum of Engineering and Management Sciences, 1(1), 13-24. https://doi.org/10.31181/sems1120232j
  49. Kailaku, S.I., Arkeman, Y., Purwanto, Y.A. and Udin, F. (2022). “Logistics Network Configuration: The Solution for Quality-Related Problems in long-Distance Transportation of Mango in Indonesia”, IOP Conference Series: Earth and Environmental Science, 1063(1), 012057, IOP Publishing. https://doi.org/10.1088/1755-1315/1063/1/012057
  50. Kara, K. (2022). “Relationship between Domestic Logistics Opportunity Effiency and International Logistics Opportunity Efficiency Based on Market Potential: Empirical Research on Developing Countries”, Journal of Management Marketing and Logistics, 9(2), 79-89. https://doi.org/10.17261/Pressacademia.2022.1555
  51. Kara, K., Bentyn, Z. and Yalçın, G.C. (2022). “Determining the Logistics Market Performance of Developing Countries by Entropy and MABAC Methods”, LogForum, 18(4), 421-434. https://doi.org/10.17270/J.LOG.2022.752
  52. Kara, M., Tayfur, L. and Basık, H. (2009). “Küresel Ticarette Lojistik Üsleri Önemi ve Türkiye”, Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 6(11), 69-84.
  53. Kaya, S.K. (2020). “Evaluation of the Effect of COVID-19 on Countries’ Sustainable Development Level: A Comparative MCDM Framework”, Operational Research in Engineering Sciences: Theory and Applications, 3(3), 101-122. DOI:10.31181/oresta20303101k
  54. Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E.K., Turskis, Z. and Antucheviciene, J. (2021). “Determination of Objective Weights Using A New Method Based on the Removal Effects of Criteria (MEREC)”, Symmetry, 13(4), 2-20. https://doi.org/10.3390/sym13040525
  55. Khadim, Z., Batool, I., Akbar, A., Poulova, P. and Akbar, M. (2021). “Mapping the Moderating Role of Logistics Performance of Logistics Infrastructure on Economic Growth in Developing Countries”, Economies, 9(4), 177. https://doi.org/10.3390/economies9040177
  56. Khan, S.A.R., Jian, C., Zhang, Y., Golpîra, H., Kumar, A. and Sharif, A. (2019). “Environmental, Social and Economic Growth Indicators Spur Logistics Performance: From the Perspective of South Asian Association for Regional Cooperation Countries”, Journal of Cleaner Production, 214, 1011-1023. https://doi.org/10.1016/j.jclepro.2018.12.322
  57. Khanzode, A.G., Sarma, P.R.S., Mangla, S.K. and Yuan, H. (2021). “Modeling the Industry 4.0 Adoption for Sustainable Production in Micro, Small & Medium Enterprises”, Journal of Cleaner Production, 279, 123489. https://doi.org/10.1016/j.jclepro.2020.123489
  58. Каlischuк, E.L. and Nebelyuk, V.V. (2021). “Productivity of Logistics Business Processes in the Conditions of Sustainable Development of Economic Systems”, Repository of Brest State Technical University, 2021(C), 209-214.
  59. Korucuk, S. (2021). “Ordu ve Giresun Illerinde Kentsel Lojistik Performans Unsurlarina Yönelik Karşilaştirmali Bir Analiz”, Dicle Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 26, 141-155.
  60. Kuković, D., Topolšek, D., Rosi, B. and Jereb, B. (2014). “A Comparative Literature Analysis of Definitions for Logistics: Between General Definition and Definitions of Subcategories”, Business Logistics in Modern Management, 14th International Scientific Conference - Osijek, Croatia.
  61. Lai, K.H., Ngai, E.W.T. and Cheng, T.C.E. (2004). “An Empirical Study of Supply Chain Performance in Transport Logistics”, International Journal of Production Economics, 87(3), 321-331. https://doi.org/10.1016/j.ijpe.2003.08.002
  62. Lambert, D., Stock, J.R. and Ellram, L.M. (1998). “Fundamentals of Logistics Management”, McGraw-Hill. Lassnig, M., Müller, J. M., Klieber, K., Zeisler, A. and Schirl, M. (2022). “A Digital Readiness Check for the Evaluation of Supply Chain Aspects and Company Size for Industry 4.0”, Journal of Manufacturing Technology Management, 33(9), 1-18. https://doi.org/10.1108/JMTM-10-2020-0382
  63. Lean, H.H., Huang, W. and Hong, J. (2014). “Logistics and Economic Development: Experience from China”, Transport Policy, 32, 96-104. https://doi.org/10.1016/j.tranpol.2014.01.003
  64. Liang, Z., Chiu, Y.H., Li, X., Guo, Q. and Yun, Y. (2020). “Study on the Effect of Environmental Regulation on the Green Total Factor Productivity of Logistics Industry from the Perspective of Low Carbon”, Sustainability, 12(1), 175. https://doi.org/10.3390/su12010175
  65. Luyen, L.A. and Thanh, N.V. (2022). “Logistics Service Provider Evaluation and Selection: Hybrid SERVQUAL–FAHP–TOPSIS Model”, Processes, 10(5), 1024. https://doi.org/10.3390/pr10051024
  66. Majerčák, P., Masárová, G., Buc, D. and Majerčáková, E. (2013). “System Approach of Logistic Costs Optimization Solution in Supply Chain”, NAŠE MORE: znanstveni časopis za more i pomorstvo, 60(5-6), 95-98.
  67. Martyn, K. and Kadzinski, M. (2023). “Deep Prefence Learning for Multiple Criteria Decision Analysis”, European Journal of Operational Research, 305(2), 781-805. https://doi.org/10.1016/j.ejor.2022.06.053
  68. Masood, T. and Sonntag, P. (2020). “Industry 4.0: Adoption Challenges and Benefits for SMEs”, Computers in Industry, 121, 103261. https://doi.org/10.1016/j.compind.2020.103261
  69. Mešić, A., Miškić, S., Stević, Ž. and Mastilo, Z. (2022). “Hybrid MCDM Solutions for Evaluation of the Logistics Performance Index of the Western Balkan Countries”, Economics, 10(1), 13-34. https://doi.org/10.2478/eoik20220004
  70. Milosavljević, M., Bursać, M. and Trićković, G. (2018). “Selection of the Railroad Container Terminal in Serbia Based on Multi Criteria Decision Making Methods”, Decision Making: Applications in Management and Engineering, 1(2), 1-15. https://doi.org/10.31181/dmame1802001m
  71. Mino, P. and Austin, L. (2022). “A Cocreational Approach to Nation Branding: The Case of Chile”, Public Relations Inquiry, 11(2), 293-313. https://doi.org/10.1177/2046147X221081179
  72. Miškić, S., Stević, Ž., Tadić, S., Alkhayyat, A. and Krstić, M. (2023). “Assessment of the LPI of the EU Countries Using MCDM Model with An Emphasis on the Importance of Criteria”, World Review of Intermodal Transportation Research, 11(3), 258-279. https://doi.org/10.1504/WRITR.2023.132501
  73. Montoya-Torres, J.R., Muñoz-Villamizar, A. and Mejia-Argueta, C. (2023). “Mapping Research in Logistics and Supply Chain Management during COVID-19 Pandemic”, International Journal of Logistics Research and Applications, 26(4), 421-441. https://doi.org/10.1080/13675567.2021.1958768
  74. Nekhoroshkov, V., Aroshidze, A., Majercak, P. and Kurenkov, P. (2021). “Features of Logistics Development in the BRICS Countries”, SHS Web of Conferences, EDP Sciences.
  75. Nguyen, N.A.T., Wang, C.N., Dang, L.T.H., Dang, L.T.T. and Dang, T.T. (2022). “Selection of Cold Chain Logistics Service Providers Based on a Grey AHP and Grey COPRAS Framework: A Case Study in Vietnam”, Axioms, 11(4), 154. https://doi.org/10.3390/axioms11040154
  76. Noyan, E. (2023). “Banka Personeli Seçiminin Çok Kriterli Karar Verme Yöntemleri Ile Ele Alınması”, Kapanaltı Dergisi, 4. 112-121.
  77. Nurprihatin, F., Regina, T. and Rembulan, G.D. (2021). “Optimizing Rice Distribution Routes in Indonesia Using A Two-Step Linear Programming Considering Logistics Costs”, Journal of Physics: Conference Series, 1811(1), 012010. https://doi.org/10.1088/1742-6596/1811/1/012010
  78. Ohh, W.G. (2012). “Analysis on Productivity of Logistics Providers Focusing on the Warehouses Industry”, Journal of Korea Port Economic Association, 28(2), 113-128.
  79. Opricovic, S. and Tzeng, G. (2004). “Compromise Solution by MCDM Methods: A Comparative Analysis of VIKOR and TOPSIS”, European Journal of Operational Research, 156, 445-455. https://doi.org/10.1016/S0377-2217(03)00020-1
  80. Özbek, H.E. and Özekenci, E.K (2023). “Investigation of Digital Logistics Market Performance in Developing Countries with Hybrid MCDM Methods”, Journal of Emerging Economies and Policy, 8(2), 559-576.
  81. Özçalıcı, M. (2022). “Asset Allocation with Multi-Criteria Decision Making Techniques”, Decision Making: Applications in Management and Engineering, 5(2), 78-119. https://doi.org/10.31181/dmame0305102022o
  82. Özdağoğlu, A., Ulutaş, A. and Keleş, M.K. (2022). “Lojistik Değerlendirme Ölçütlerine göre Ülke Sıralamaları: Farklı Yöntemlerin Sıralama Üzerindeki Etkisi”, Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 9(1), 512-541. https://doi.org/10.30798/makuiibf.913369
  83. Özekenci, E.K. (2023). “Assessing the Logistics Market Performance of Developing Countries by SWARA-CRITIC based CoCoSo Methods”, LogForum, 19(3), 375-394. https://doi.org/10.17270/J.LOG.2023.857
  84. 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
  85. Pamućar, D. and Ćirović, G. (2015). “The Selection of Transport and Handling Resources in Logistics Centers Using Multi-Attributive Border Approximation Area Comparison (MABAC)”, Expert Systems with Applications, 42(6), 3016-3028. https://doi.org/10.1016/j.eswa.2014.11.057
  86. Pamučar, D., Mihajlović, M., Obradović, R. and Atanasković, P. (2017). “Novel Approach to Group Multicriteria Decision Making Based on Interval Rough Numbers: Hybrid DEMATEL-ANP-MAIRCA Model”, Expert Systems with Applications, 88, 58-80. https://doi.org/10.1016/j.eswa.2017.06.037
  87. Pamucar, D.S., Tarle, S.P. and Parezanovic, T. (2018). “New Hybrid Multi-Criteria Decision-Making DEMATEL-MAIRCA Model: Sustainable Selection of A Location for the Development of Multimodal Logistics Centre”, Economic Research-Ekonomska Istraživanja, 31(1), 1641-1665. https://doi.org/10.1080/1331677X.2018.1506706
  88. Patella, S.M., Grazieschi, G., Gatta, V., Marcucci, E. and Carrese, S. (2021). “The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review”, Sustainability, 13(1), 6. https://doi.org/10.3390/su13010006
  89. Pehlivan, N.Y. (2024). “A Novel Integrated FCM/MCDM Methodology for Evaluating Logistic Performance Index”, Data-Driven Modelling with Fuzzy Sets, 305-328. CRC Press.
  90. Pfohl, H.C. (2022). “Logistics Systems”, Springer, Berlin Heidelberg.
  91. Pfohl, H.C. (2023). “Logistics as A Success Factor”. Logistics Management, Springer, Berlin Heidelberg. https://doi.org/10.1007/978-3-662-66564-0_3
  92. Pham, T.H. and Doan, T.D.U. (2020). “Supply Chain Relationship Quality, Environmental Uncertainty, Supply Chain Performance and Financial Performance of High-Tech Agribusinesses in Vietnam”, Uncertain Supply Chain Management, 8, 663-674. https://doi.org/10.5267/j.uscm.2020.8.006
  93. Popescu, A. and Sipos, C. (2014). “Logistics Performance and Economic Development-A Comparison within the European Union”, Proceedings of “MAC-EMM”, Prague, Czech Republic.
  94. Pradhan, R.P.I. and Bagchi, T.P. (2013). “Effect of Transportation Infrastructure on Economic Growth in India: The VECM Approach”, Research in Transportation Economics, 38(1), 139-148.
  95. Rezaei, J., van Roekel, W.S. and Tavasszy, L. (2018). “Measuring the Relative Importance of the Logistics Performance Index Indicators Using Best Worst Method”, Transport Policy, 68, 158-169. https://doi.org/10.1016/j.tranpol.2018.05.007
  96. Rokicki, T., Bórawski, P., Bełdycka-Bórawska, A., Szeberényi, A., and Perkowska, A. (2022). “Changes in Logistics Activities in Poland as A Result of the COVID-19 Pandemic”, Sustainability, 14(16), 10303. https://doi.org/10.3390/su141610303
  97. Rostek, M. (2022). “Productivity and Improvement of Logistics Processes in the Company Manufacturing Vehicle Semi-Trailers Case Study”, Production Engineering Archives, 28(4), 309-318. https://doi.org/10.30657/pea.2022.28.39
  98. Salvatore, D. (2020). “Growth and Trade in the United States and the World Economy: Overview”, Journal of Policy Modeling, 42(4), 750-759. https://doi.org/10.1016/j.jpolmod.2020.03.001
  99. Savytska N., Zhehus O., Chmil H., Uchakova N., Androsova T. and Priadko O. (2022). “Applied Research of Digital Readiness of Retails”, WSEAS Transactions on Environment and Development, 18, 798-809.
  100. Sawant, P.B. (2013). “Analysis of Logistics Infrastructure in India”, Doctoral Dissertation, University of Mumbai, India.
  101. Sereda, A.E. (2021). “Digitalization of Logistics Processes as A Factor of Enhancing Productivity of Logistics”, Стратегии и Инструменты Управления Экономикой: Отраслевой и Региональный Аспект,138-142.
  102. Shanmugasundar, G., Sapkota, G., Čep, R. and Kalita, K. (2022). “Application of MEREC in Multi-Criteria Selection of Optimal Spray-Painting Robot”, Processes, 10(6), 1172. https://doi.org/10.3390/pr10061172
  103. Shikur, Z.H. (2022). “Logistics Performance, Export, Agricultural, Manufacturing, and Aggregate Economic Growth: A Focus on Sectoral Perspectives”, Journal of Economic Development, 47(3), 107-123.
  104. Singh, M. and Pant, M. (2021). “A Review of Selected Weighing Methods in MCDM with A Case Study”, International Journal of System Assurance Engineering and Management, 12, 126-144. https://doi.org/10.1007/s13198-020-01033-3
  105. Somohano-Rodríguez, F.M., Madrid-Guijarro, A. and López-Fernández, J.M. (2022). “Does Industry 4.0 Really Matter for SME Innovation”, Journal of Small Business Management, 60(4), 1001-1028. https://doi.org/10.1080/00472778.2020.1780728
  106. Stainer, A. (1997). “Logistics‐A Productivity and Performance Perspective”, Supply Chain Management: An International Journal, 2(2), 53-62. https://doi.org/10.1108/13598549710166104
  107. Stević, Ž., Tanackov, I., Puška, A., Jovanov, G., Vasiljević, J. and Lojaničić, D. (2021). “Development of Modified SERVQUAL–MCDM Model for Quality Determination in Reverse Logistics”, Sustainability, 13(10), 5734. https://doi.org/10.3390/su13105734
  108. Štimac, H., Freimann, A. and Glavaš, J. (2021). “Logistical Challenges in the Process of Internationalization of Companies in the Wine Industry”, 21st International Scientific Conference Business Logistics in Modern Management (BLMM 2021), 245-258.
  109. T.C. Dış İşleri Bakanlığı. (2023). “Dış Politika, Bölgeler, Latin Amerika Şili’nin Ekonomisi.” https://www.mfa.gov.tr/sili-ekonomisi.tr.mfa, (Accessed Date: 01.07.2023).
  110. The World Bank (2018). “Connecting to compete 2018: Trade Logistics in the Global Economy”. https://openknowledge.worldbank.org/bitstream/handle/10986/29971/LPI2018.pdf, (Accessed Date: 09.07.2024).
  111. Tian, G., Lu, W., Zhang, X., Zhan, M., Dulebenets, M.A., Aleksandrov, A., Fathollahi-Fard, A.M. and Ivanov, M. (2023). “A Survey of Multi-Criteria Decision-Making Techniques for Green Logistics and Low-Carbon Transportation Systems”, Environmental Science and Pollution Research, 30(20), 57279-57301. https://doi.org/10.1007/s11356-023-26577-2
  112. Tomassian, G.C., Perrotti, D. and Sánchez, R. (2014). “Desarrollo Económico y Desempeño Logístico. Un Enfoque Probabilístico”, Revista de Economía Mundial, 38, 27-48.
  113. Top, M. and Bulut, T. (2022). “Yeni Bir Çok Kriterli Karar Verme Yöntemi: Bulut Endeks- Beta (BE-β)”, Verimlilik Dergisi, 3, 393-414. https://doi.org/10.51551/verimlilik.1031366
  114. Torkayesh, A.E., Tirkolaee, E.B., Bahrini, A., Pamucar, D. and Khakbaz, A. (2023). “A Systematic Literature Review of MABAC Method and Applications: An Outlook for Sustainability and Circularity”, Informatica, 34(2), 415-448. https://doi.org/10.15388/23-INFOR511
  115. Trung, D.D. and Thinh, H.X. (2021). “A Multi-Criteria Decision-Making in Turning Process Using the MAIRCA, EAMR, MARCOS and TOPSIS Methods: A Comparative Study”, Advances in Production Engineering & Management, 16(4), 443-456. https://doi.org/10.14743/apem2021.4.412
  116. Ulutaş, A. and Karaköy, Ç. (2019). “An Analysis of the Logistics Performance Index of EU Countries with An Integrated MCDM Model”, Economics and Business Review, 5(4), 49-69.
  117. Ulutaş, A. and Karaköy, Ç. (2021). “Evaluation of LPI Values of Transition Economies Countries with A Grey MCDM Model”, Handbook of Research on Applied AI for International Business and Marketing Applications, 499-511. IGI Global. https://doi.org/10.4018/978-1-7998-5077-9.ch024
  118. Wang, M. (2018). “Impacts of Supply Chain Uncertainty and Risk on the Logistics Performance”, Asia Pacific Journal of Marketing and Logistics, 30(3), 689-704. https://doi.org/10.1108/APJML-04-2017-0065
  119. Widodo, K.H., Parikesit, D., Purwoto, H., Soemardjito, J. and Eriadi. (2018). “Issues and Challenges in URBAN Logistics Planning in Indonesia”, City Logistics 3: Towards Sustainable and Liveable Cities, 317-327. https://doi.org/10.1002/9781119425472.ch18
  120. Wilson, M.C. (2007). “The Impact of Transportation Disruptions on Supply Chain Performance”, Transportation Research Part E: Logistics and Transportation Review, 43(4), 295-320. https://doi.org/10.1016/j.tre.2005.09.008
  121. Wong, W.P. and Tang, C.F. (2018). “The Major Determinants of Logistic Performance in A Global Perspective: Evidence from Panel Data Analysis”, International Journal of Logistics Research and Applications, 21(4), 431-443. https://doi.org/10.1080/13675567.2018.1438377
  122. Xu, F., Song, Y. and Hu, H. (2012). “Application of Cycle-Based Simulation to Estimate Loss of Logistics Productivity on Construction Sites”, Computational Logistics: Third International Conference, ICCL 2012, Shanghai, China, September 24-26, 2012, Springer, Berlin Heidelberg. https://doi.org/10.1007/978-3-642-33587- 7_12
  123. Xu, X. and Wang, Y. (2017). “Study on Spatial Spillover Effects of Logistics Industry Development for Economic Growth in the Yangtze River Delta City Cluster Based on Spatial Durbin Model”, International Journal of Environmental Research and Public Health, 14(12), 1508. https://doi.org/10.3390/ijerph14121508
  124. Yalçın, B. and Ayvaz, B. (2020). “Çok Kriterli Karar Verme Teknikleri Ile Lojistik Performansın Değerlendirilmesi”, İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 19(38), 117-138.
  125. Zhang, X., Lu, J. and Peng, Y. (2021). “Hybrid MCDM Model for Location of Logistics Hub: A Case in China under the Belt and Road Initiative”, IEEE Access, 9, 41227-41245. https://doi.org/10.1109/ACCESS.2021.3065100
  126. Arvis,J.F., Wiederer, C.K., Ojala, L.M., Shepherd, B.A., Raj, A.U.L., Dairabayeva, K.S. and Kiiski, T.M.M. (2018) “Connecting to Compete 2018: Trade Logistics in the Global Economy - The Logistics Performance Index and Its Indicators: Connecting to Compete 2018: Trade Logistics in the Global Economy - The Logistics Performance Index and Its Indicators (English)”, World Bank Group, Washington, D.C.
  127. Clausen, U., De Bock, J. and Lu, M. (2016). “Logistics Trends, Challenges, and Needs for Further Research and Innovation”, Sustainable Logistics and Supply Chains: Innovations and Integral Approaches, (Editors: M. Lu and J.D. Bock), 1-13, Springer Cham. https://doi.org/10.1007/978-3-319-17419-8