Dergiler / Ege Akademik Bakış Dergisi / 2022 / Cilt: 22 - Sayı: 4

An EFQM-Based Self-Assessment Method for Railway Transportation Service Quality: An Application with Intuitionistic Fuzzy AHP

Sayfa
371–392
Yayın Tarihi
2022-10-03
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The study provides new insights into the long-term benefits of applying the EFQM model as a framework in railway transportation and understanding the associations between the EFQM criteria and railway transportation.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Service quality is one of the most important issues in railway transportation because it is a concept that positively affects customer satisfaction, customer loyalty, corporate image, and intention to repurchase.
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Temel Bulgular & Veri:This is the first study that integrates intuitionistic fuzzy theory in the application of the EFQM Model of railway industry in Turkey.
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Sonuç & Katkı:The study provides new insights into the long-term benefits of applying the EFQM model as a framework in railway transportation and understanding the associations between the EFQM criteria and railway transportation.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:EFQM excellence model · analytic hierarchy process · intuitionistic fuzzy sets

Abstract

Service quality is one of the most important issues in railway transportation because it is a concept that positively affects customer satisfaction, customer loyalty, corporate image, and intention to repurchase. The European Foundation of Quality Management (EFQM) Excellence Model provides an opportunity to facilitate the service quality-focused self-assessment efforts of the railway companies. This is the first study that integrates intuitionistic fuzzy theory in the application of the EFQM Model of railway industry in Turkey. As the main contribution, it is aimed to find a dedicatedly special weighting schema for the application of EFQM model in railway transportation. For this purpose, Analytic Hierarchy Process (AHP) is utilized with an integration of intuitionistic fuzzy sets that can reveal the decision-makers’ opinions, preferences, and expertise more comprehensively than traditional fuzzy sets can do. Consequently, it is found that the original model should be modified for the railway industry since the weights of all the criteria included in the model are found different than the original ones. The study provides new insights into the long-term benefits of applying the EFQM model as a framework in railway transportation and understanding the associations between the EFQM criteria and railway transportation.

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Bu Makaleye Atıf Yap

YANGINLAR, G., GÜL, S. (2022). An EFQM-Based Self-Assessment Method for Railway Transportation Service Quality: An Application with Intuitionistic Fuzzy AHP. Ege Akademik Bakış Dergisi, Cilt: 22 - Sayı: 4, 371–392. https://ajindex.com/articles/751802

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Kaynakça (13)

  1. Abdullah, L., & Najib, L. (2016). Sustainable energy planning decision using the intuitionistic fuzzy analytic hierarchy process: choosing energy technology in Malaysia. International Journal of Sustainable Energy, 35, 360-377.
  2. Akyuz, G.A. (2015). Quality excellence in complex supply networks: EFQM excellence model reconsidered. Total Quality Management and Business Excellence, 26 (12), 1282–1297.
  3. Anastasiadou, S.D., & Zirinoglou, P.A. (2015). EFQM dimensions in Greek Primary Education System. Procedia Economics and Finance, 33, 411 – 431. Ar, I.M., Erol, I., Peker, I., Özdemir, A., Medeni, T.D., & Medeni, I.T. (2020). Evaluating the feasibility of blockchain in logistics operations: A decision framework. Expert Systems with Applications, 158, 113543. Atanassov, K.T. (1986).
  4. INTUITIONISTIC FUZZY SETS, Fuzzy Sets and Systems, 20, 87-96.
  5. Babalık-Sutcliffe, E. (2007). Pro-rail policies in Turkey: A policy shift. Transport Reviews, 27(4), 485–498.
  6. Banar, M., & Özdemir, A. (2015). An evaluation of railway passenger transport in Turkey assessment and life cycle cost methods. Transportation Research Part D: Transport and Environment, 41, 88–10.
  7. Belvedere, V., Grando, A., & Legenvre, H. (2018). Testing the EFQM model as a framework to measure a company’s procurement performance. Total Quality Management and Business Excellence, 29 (6), 633–651.
  8. Boran, F.E., Genç, S., Kurt, M., & Akay, D. (2009). A Multi-criteria Intuitionistic Fuzzy Group Decision Making for Supplier Selection with TOPSIS Method. Expert Systems with Application, 36 (8), 11363-11368.
  9. Bou-Llusar, J.C., Escrig-Tena, A.B., Roca-Puig, V., & Beltran-Martin, I. (2005). To what extent do enablers explain results in the EFQM excellence model? An empirical study. International Journal of Quality and Reliability Management, 22 (4), 337-353.
  10. Brons, M.R.E., & Rietveld, P. (2009). Improving the quality of the door-to-door rail journey: A customer-oriented approach. Built Environment, 35, 30–43.
  11. Budak, A., Kaya, İ., Karaşan, A., & Erdoğan, M. (2020). Real-time location systems selection by using a fuzzy MCDM approach: An application in humanitarian relief logistics. Applied Soft Computing Journal, 92, 1-21.
  12. Burillo, P., & Bustince, H. (1996). Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets. Fuzzy Sets and Systems, 78, 305-316.
  13. Büyüközkan, G., Feyzioğlu, O., & Göçer, F. (2018). Selection of sustainable urban transportation alternatives using an integrated intuitionistic fuzzy Choquet integr