Journals / Verimlilik Dergisi / 2026 / Cilt: 60 Sayı: 1

Determining the Impact of Digitalization Applications on Performance Indicators Using Multi-Criteria Decision-Making Techniques: The Case of Logistics Service Providers

Dijitalleşme Uygulamalarının Performans Göstergelerine Etkisinin Çok Kriterli Karar Verme Teknikleri ile Belirlenmesi: Lojistik Hizmet İşletmeleri Örneği

Hüseyin Balci(KARADENİZ TEKNİK ÜNİVERSİTESİ)0000-0002-9135-3551
Hasan Ayyıldız(KARADENİZ TEKNİK ÜNİVERSİTESİ)0000-0003-1954-6719
Pages
61–82
Publication Date
2026-01-28
🏛️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)

Fuzzy TOPSIS results show that IoT is a key determinant in digital transformation.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Purpose: This study aims to examine the effects of digitalization on business performance in the logistics sector and to determine the sectoral adaptation level of digital transformation.
📊
Key Findings & Data:First, the importance levels of digitalization criteria were determined through the Fuzzy DEMATEL method, and these weights were subsequently used in the Fuzzy TOPSIS and Fuzzy VIKOR methods to rank the alternatives based on performance indicators.
💡
Conclusion & Impact:Fuzzy TOPSIS results show that IoT is a key determinant in digital transformation.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Dijitalleşme · Tedarik Zinciri Yönetimi · Lojistik 4.0

Abstract

Purpose: This study aims to examine the effects of digitalization on business performance in the logistics sector and to determine the sectoral adaptation level of digital transformation. Method: Data were collected through survey and analyzed using multi-criteria decision-making methods. First, the importance levels of digitalization criteria were determined through the Fuzzy DEMATEL method, and these weights were subsequently used in the Fuzzy TOPSIS and Fuzzy VIKOR methods to rank the alternatives based on performance indicators. Moreover, a sensitivity analysis was conducted to evaluate the impact of weight changes on the rankings. Findings: The analyses indicate that the “Internet of Things (IoT)” is the most important criterion. Fuzzy TOPSIS results show that IoT is a key determinant in digital transformation. Fuzzy VIKOR analyses identify “Flexibility/Transparency,” “Quality,” and “Profitability” as the leading performance factors. The rankings from both methods are consistent. In the sensitivity analysis, rankings remained stable under limited weight changes, while significant weight variations led to shifts in the results. Originality: The study presents a holistic approach by examining the impact of digitalization on performance through cause–effect relationships and alternative rankings. The combined use of Fuzzy DEMATEL, TOPSIS, and VIKOR fills a gap in the literature and provides decision-support insights for practitioners.

Özet

Amaç: Bu çalışma, lojistik sektöründe dijitalleşmenin işletme performansı üzerindeki etkilerini incelemeyi ve dijital dönüşümün sektörel uyum düzeyini belirlemeyi amaçlamaktadır. Yöntem: Veriler, anketlerle toplanmış ve çok kriterli karar verme yöntemleriyle analiz edilmiştir. Öncelikle Bulanık DEMATEL ile dijitalleşme kriterlerinin önem düzeyleri belirlenmiş, ardından bu ağırlıklar Bulanık TOPSIS ve Bulanık VIKOR yöntemlerinde kullanılarak alternatifler performans göstergelerine göre sıralanmıştır. Ayrıca duyarlılık analizi ile ağırlık değişimlerinin sıralamalara etkisi değerlendirilmiştir. Bulgular: Analizler sonucunda “Nesnelerin İnterneti (IoT)” en yüksek öneme sahip kriter olarak belirlenmiştir. Bulanık TOPSIS sonuçları IoT’nin dijital dönüşümde belirleyici bir unsur olduğunu göstermiştir. Bulanık VIKOR analizlerinde ise “Esneklik/Şeffaflık”, “Kalite” ve “Karlılık” performans açısından öne çıkan faktörlerdir. Her iki yöntemin sıralamaları tutarlılık göstermektedir. Duyarlılık analizinde, sınırlı ağırlık değişimlerinde sıralamalar sabit kalırken, büyük ağırlık farklılıklarında değişimler ortaya çıkmıştır. Özgünlük: Çalışma, dijitalleşmenin performansa etkisini neden-sonuç ilişkileri ve alternatif sıralamaları üzerinden inceleyen bütüncül bir yaklaşım sunmaktadır. Bulanık DEMATEL, TOPSIS ve VIKOR’un birlikte kullanımı literatürdeki bir boşluğu doldurmakta ve uygulayıcılara karar desteği sağlamaktadır.

🔖

Cite This Article

Balci, H., Ayyıldız, H. (2026). Determining the Impact of Digitalization Applications on Performance Indicators Using Multi-Criteria Decision-Making Techniques: The Case of Logistics Service Providers. Verimlilik Dergisi, Cilt: 60 Sayı: 1, 61–82. https://doi.org/10.51551/verimlilik.1740576

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (24)

  1. Altan, Ş., Aydın, E.K. (2015). “Bulanık DEMATEL ve Bulanık TOPSIS Yöntemleri İle Üçüncü Parti Lojistik Firma Seçimi İçin Bütünleşik Bir Model Yaklaşımı”, Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 20(3), 99-119.
  2. Asrol, M. (2024). “Industry 4.0 Adoption in Supply Chain Operations: A Systematic Literature Review”, International Journal of Technology, 15(3), 544–560. https://doi.org/10.14716/ijtech.v15i3.5958
  3. Aylak, B.L., Kayıkcı, Y. ve Taş, M.A. (2020). “Türkiye’de Lojistik Sektöründe Faaliyet Gösteren İşletmelerin Dijital Trendlerinin İncelenmesi”, Yaşar Üniversitesi E-Dergisi, 15 (57), 98-116. https://doi.org/10.19168/jyasar.569599
  4. Bielecki, M., Wisniewski, Z., Dukic, G. ve Dujak, D. (2024). Supply Chain 4.0: What the Supply Chains of the Future Might Look Like”, Engineering Management in Production and Services, 16(1), 77–92. https://doi.org/10.2478/emj-2024-0006
  5. Büyüközkan, G. ve Göçer, F. (2018). “Digital Supply Chain: Literature Review and A Proposed Framework for Future Research”, Computers in Industry, 97, 157-177. https://doi.org/10.1016/j.compind.2018.02.010
  6. Chen, C. (2009). “A Decision Model of Field Depot Location Based on the Centrobaric Method and Analytic Hierarchy Process (AHP),” International Journal of Business and Managament, vol.4, no.7, p. 71-75.
  7. Demir, G., Chatterjee, P. ve Pamucar, D. (2024). “Sensitivity Analysis in Multi-Criteria Decision Making: A State-of-the-Art Research Perspective Using Bibliometric Analysis”, Expert Systems with Applications, 237, 121660. https://doi.org/10.1016/j.eswa.2023.121660
  8. Edirisuriya, A., Weerabahu, S. ve Wickramarachchi, R. (2018). “Applicability of Lean and Green Concepts in Logistics 4.0: A Systematic Review of Literature”, 2018 International Conference on Production and Operations Management Society (POMS), 1-8, https://doi.org/10.1109/POMS.2018.8629443
  9. Görçün, Ö.F. (2018). “Lojistikte Teknoloji Kullanımı Ve Robotik Sistemler - Technology Utilization in Logistics and robotic Systems”, Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 10(24), 351-368. https://doi.org/10.20875/makusobed.397373
  10. Gültaş, M. P. (2024). The Impact Of Logıstıcs 4.0 On Smart Warehouse Management: Examples From Companıes In Türkiye And A Bıblıometrıc Analysıs For Future Trends*. Yönetim Bilimleri Dergisi, 22(Özel Sayı: Endüstri 4.0 ve Dijitalleşmenin Sosyal Bilimlerde Yansımaları), 1946-1969. https://doi.org/10.35408/comuybd.1516355
  11. Hwang, C.L. ve Yoon, K. (1981). “Methods for Multiple Attribute Decision Making. In: Multiple Attribute Decision Making”, Lecture Notes in Economics and Mathematical Systems, 186. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48318-9_3
  12. Kumar, A., Mangla, S.K., Luthra, S. ve Rana, N.P. (2020). "Key Enablers of Sustainability in Manufacturing Supply Chains: A Fuzzy DEMATEL-VIKOR Approach", Benchmarking: An International Journal, 27(3), 1063–1091. https://doi.org/10.1108/BIJ-09-2019-0414
  13. Li, C. W. ve Tzeng, G. H. (2009). "Identification of A Threshold Value for the DEMATEL Method Using the Maximum Mean De-Entropy Algorithm to Find Critical Services Provided by A Semiconductor Intellectual Property Mall", Expert Systems with Applications, 36, 9891-9898.
  14. Li, C.C., Tzeng, G.H. ve Chang, C.W. (2009). "Using Fuzzy DEMATEL to Evaluate the Green Supply Chain Management Practices", Journal of Cleaner Production, 17(5), 701–713. https://doi.org/10.1016/j.jclepro.2008.11.009
  15. Lin, H.Y., Hsu, P.Y. ve Shen, G. J. (2007). "A Fuzzy-Based Decision-Making Procedure for Data Warehouse System Selection", Expert Systems with Applications, 32(3), 939-953.
  16. Maslarić, M., Nikoličić, S. ve Mirčetić, D. (2016). "Logistics Response to the Industry 4.0: The Physical Internet", Open Engineering, 6(1). https://doi.org/10.1515/eng-2016-0073
  17. Müller, J. M., Kiel, D. ve Voigt, K. I. (2018). "What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability", Sustainability, 10(1), 247. https://doi.org/10.3390/su10010247
  18. Opricovic, S. ve Tzeng, G.H. (2004). "Compromise Solution by MCDM Methods: A Comparative Analysis of VIKOR and TOPSIS", European Journal of Operational Research, 156(2), 445-455.
  19. Özbek, A. (2017). "Çok Kriterli Karar Verme Yöntemleri ve Excel ile Problem Çözümü", Şeçkin Akademik ve Mesleki Yayınlar, Ankara.
  20. Reaidya, P., Alaeddini, M., Gunasekaran, A., Lavastre, O. ve Shahzad, M. (2024). "Unveiling the Impact of Industry 4.0 on Supply Chain Performance: The Mediating Role of Integration and Visibility", Production Planning & Control, 1-22. https://doi.org/10.1080/09537287.2024.2440454
  21. Seçme, N.Y., Bayrakdaroğlu, A. ve Kahraman, C. (2009). "Fuzzy Performance Evaluation in Turkish Banking Sector Using Analytic Hierarchy Process and TOPSIS", Expert Systems with Applications, 36(9), 11699-11709.
  22. Tseng, M. L. ve Lin, Y. H. (2008). "Application of Fuzzy DEMATEL to Develop A Cause and Effect Model of Municipal Solid Waste", Environmental Monitoring and Assessment, 158, 519-533. https://doi.org/10.1007/s10661-008-0601-2
  23. Wu, W.W. ve Lee, Y.T. (2007). "Developing Global Managers’ Competencies Using the Fuzzy DEMATEL Method", Expert Systems with Applications, 32(2), 499–507. https://doi.org/10.1016/j.eswa.2005.12.005
  24. Zhou, K., Liu, T. ve Zhou, L. (2015). "Industry 4.0: Towards Future Industrial Opportunities and Challenges", 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2147-2152.