Application of Fuzzy AHP and Fuzzy MARCOS Approach for the Evaluation of E-Service Quality in the Airline Industry

  • Mahmut Bakır Department of Aviation Management, School of Civil Aviation, Samsun University, Samsun, Turkey
  • Özlem Atalık Department of Aviation Management, Faculty of Aeronautics and Astronautics, Eskişehir Technical University, Eskişehir, Turkey
Keywords: E-service quality, Airlines, Fuzzy AHP, Fuzzy MARCOS, Fuzzy sets theory


Airlines today use e-services extensively for marketing activities and the distribution of services. Monitoring and evaluating e-service quality are essential for customers’ satisfaction and thus the success of airlines. This study aims to evaluate e-service quality in the airline industry from the point of view of the consumers. To achieve this, an integrated Fuzzy Analytical Hierarchy Process (F-AHP) and Fuzzy Measurement Alternatives and Ranking according to Compromise Solution (F-MARCOS) approach was proposed to handle the uncertain and imprecise nature of e-service evaluation. In the first stage, e-service quality criteria were prioritized using the F-AHP method. Then, a real-world case study was carried out on scheduled airlines to demonstrate the applicability of the proposed approach using the F-MARCOS method, utilizing a total sample of 395 airline passengers in Turkey. As a result, the top three e-service criteria were found as reliability, understandability and security. A three-stage sensitivity analysis was also conducted to examine the credibility and stability of the results. This study is the first study to integrate F-AHP and F-MARCOS methods for the first time in literature.


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Abbasi, R., Rezaei, N., Esmaili, S., & Abbasi, Z. (2018). Website quality and evaluation: a perspective of Iranian airline industry. International Journal of Electronic Business, 14(2), 103–127.

Adenso-Díaz, B., Álvarez, N. G., & Alba, J. A. L. (2019). A fuzzy AHP classification of container terminals. Maritime Economics and Logistics, 22, 218–238.

Alptekin, N., Hall, E. E., & Sevim, N. (2015). Evaluation of Websites Quality Using Fuzzy TOPSIS Method. International Journal of Academic Research in Business and Social Sciences, 5(8), 221–242.

Anagnostopoulos, K. P., Gratziou, M., & Vavatsikos, A. P. (2007). Using the fuzzy Analytic Hierarchy Process for selecting wastewater facilities at prefecture level. European Water, 19(20), 15–24.

Badi, I., & Abdulshahed, A. (2019). Ranking the Libyan airlines by using full consistency method (FUCOM) and analytical hierarchy process (AHP). Operational Research in Engineering Sciences: Theory and Applications, 2(1), 1–14.

Badi, I., & Pamucar, D. (2020). Supplier selection for steelmaking company by using combined Grey-Marcos methods. Decision Making: Applications in Management and Engineering, 3(2), 37–48.

Bakır, M., & Atalık, Ö. (2019). Havayolu İşletmelerinde E-hizmet Kalitesi Boyutlarının Önem Düzeylerinin Belirlenmesi. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 14(1), 149–168.

Bigné, E., Sanz, S., Ruiz, C., & Aldás, J. (2010). Why Some Internet Users Don’t Buy Air Tickets Online. In U. Gretzel, R. Law, & M. Fuchs (Eds.), Information and Communication Technologies in Tourism 2010 (pp. 209–221). Springer-Verlag.

Blut, M. (2016). E-Service Quality: Development of a Hierarchical Model. Journal of Retailing, 92(4), 500–517.

Blut, M., Chowdhry, N., Mittal, V., & Brock, C. (2015). E-Service Quality: A Meta-Analytic Review. Journal of Retailing, 91(4), 679–700.

Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233–247.

Büyüközkan, G., Havle, C. A., & Feyzioğlu, O. (2020). A new digital service quality model and its strategic analysis in aviation industry using interval-valued intuitionistic fuzzy AHP. Journal of Air Transport Management, 86.

Ceballos Hernandez, C., Paios-Sánchez, P., & Rios, M. A. (2020). Website quality assessment: A case study of chinese airlines. Indian Journal of Marketing, 50(1), 42–64.

Çelik, P., & Gök Kısa, A. C. (2017). Fuzzy AHP-Fuzzy Promethee Approach in Evaluation of E-Service Quality: Case of Airline Web Sites. The Journal of International Social Research, 10(52), 1003–1013.

Chakraborty, S., Chattopadhyay, R., & Chakraborty, S. (2020). An integrated D-MARCOS method for supplier selection in an iron and steel industry. Decision Making: Applications in Management and Engineering, 3(2), 49–69.

Cheng, Y. H. (2011). Evaluating web site service quality in public transport: Evidence from Taiwan High Speed Rail. Transportation Research Part C: Emerging Technologies, 19(6), 957–974.

Chong, S., & Law, R. (2019). Review of studies on airline website evaluation. Journal of Travel and Tourism Marketing, 36(1), 60–75.

Chou, W. C., & Cheng, Y. P. (2012). A hybrid fuzzy MCDM approach for evaluating website quality of professional accounting firms. Expert Systems with Applications, 39(3), 2783–2793.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30.

Díaz, E., & Martín-Consuegra, D. (2016). A latent class segmentation analysis of airlines based on website evaluation. Journal of Air Transport Management, 55, 20–40.

Dominic, P. D. D., & Khan, H. (2014). Performance measure of airline websites using analytical hierarchy process & fuzzy analytical hierarchy process. Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014, 530–535.

Ecer, F. (2014). A hybrid banking websites quality evaluation model using AHP and COPRAS-G: A turkey case. Technological and Economic Development of Economy, 20(4), 758–782.

Economides, A. A., & Apostolou, G. (2009). User-centred evaluation of airlines’ websites. International Journal of Digital Culture and Electronic Tourism, 1(4), 280–301.

Ekşioǧlu, M., Kiriş, E., Çakir, T., Güvendik, M., Koyutürk, E. D., & Yilmaz, M. (2013). A user experience study of airline websites. Lecture Notes in Computer Science, 8015 LNCS(PART 4), 173–182.

Elkhani, N., Soltani, S., & Jamshidi, M. H. M. (2014). Examining a hybrid model for e-satisfaction and e-loyalty to e-ticketing on airline websites. Journal of Air Transport Management, 37, 36–44.

Fassnacht, M., & Koese, I. (2006). Quality of electronic services: Conceptualizing and testing a hierarchical model. Journal of Service Research, 9(1), 19–37.

Güreş, N., Arslan, S., & Yılmaz, H. (2015). E-Service Quality, Passenger Satisfaction and Passenger Loyalty Relationship in Airline Industry. Journal of Management, Marketing and Logistics, 2(1), 44–56.

Harison, E., & Boonstra, A. (2008). Reaching new altitudes in e-commerce: Assessing the performance of airline websites. Journal of Air Transport Management, 14(2), 92–98.

Havle, C. A., & Kılıç, B. (2019). A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights. Journal of Air Transport Management, 76, 21–30.

Hofstede, G., & Bond, M. H. (1984). Hofstede’s culture dimensions: An Independent Validation Using Rokeach’s Value Survey. Journal of Cross-Cultural Psychology, 15(4), 417–433.

Hsu, T. H., Hung, L. C., & Tang, J. W. (2012). A hybrid ANP evaluation model for electronic service quality. Applied Soft Computing Journal, 12(1), 72–81.

Hu, Y. C., & Liao, P. C. (2011). Finding critical criteria of evaluating electronic service quality of Internet banking using fuzzy multiple-criteria decision making. Applied Soft Computing Journal, 11(4), 3764–3770.

Kahraman, C., Onar, S. Ç., & Öztayşi, B. (2018). B2C Marketplace Prioritization Using Hesitant Fuzzy Linguistic AHP. International Journal of Fuzzy Systems, 20(7), 2202–2215.

Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2018). A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations. Archives of Civil and Mechanical Engineering, 18(1), 32–49.

Kim, S., & Stoel, L. (2004). Dimensional hierarchy of retail website quality. Information and Management, 41(5), 619–633.

Kurtulmuşoğlu, F. B., Can, G. F., & Tolon, M. (2016). A voice in the skies: Listening to airline passenger preferences. Journal of Air Transport Management, 57, 130–137.

Lee, F. H., & Wu, W. Y. (2011). Moderating effects of technology acceptance perspectives on e-service quality formation: Evidence from airline websites in Taiwan. Expert Systems with Applications, 38(6), 7766–7773.

Lee, G. G., & Lin, H. F. (2005). Customer perceptions of e-service quality in online shopping. International Journal of Retail and Distribution Management, 33(2), 161–176.

Lee, K. F., Haque, A., Maulan, S., & Abdullah, K. (2019). Determining intention to buy air e-tickets in Malaysia. Management Science Letters, 9(6), 933–944.

Lee, Y., & Kozar, K. A. (2006). Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach. Decision Support Systems, 42(3), 1383–1401.

Li, W., Yu, S., Pei, H., Zhao, C., & Tian, B. (2017). A hybrid approach based on fuzzy AHP and 2-tuple fuzzy linguistic method for evaluation in-flight service quality. Journal of Air Transport Management, 60, 49–64.

Lin, H. F. (2010). An application of fuzzy AHP for evaluating course website quality. Computers and Education, 54(4), 877–888.

Lionello, R. L., Slongo, L. A., & Matos, C. A. de. (2020). Electronic service quality: a meta-analysis. Marketing Intelligence and Planning.

Llach, J., Marimon, F., Alonso-Almeida, M. del M., & Bernardo, M. (2013). Determinants of online booking loyalties for the purchasing of airline tickets. Tourism Management, 35, 23–31.

Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2002). WebQual: A measure of website quality. Marketing Theory and Applications, 13(3), 432–438.

Mardani, A., Jusoh, A., Zavadskas, E. K., Khalifah, Z., & Nor, K. M. D. (2015). Application of multiple-criteria decision-making techniques and approaches to evaluating of service quality: a systematic review of the literature. Journal of Business Economics and Management, 16(5), 1034–1068.

Murillo, B., Vargas, S., Moquillaza, A., Fernández, L., & Paz, F. (2017). Usability testing as a complement of heuristic evaluation: A case study. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10288 LNCS, 434–444.

Nilashi, M., Bagherifard, K., Ibrahim, O., Janahmadi, N., & Ebrahimi, L. (2012). Ranking parameters on quality of online shopping websites using multi-criteria method. Research Journal of Applied Sciences, Engineering and Technology, 4(21), 4380–4396.

Pamucar, D., & Ecer, F. (2020). Prioritizing the weights of the evaluation criteria under fuzziness: The fuzzy full consistency method – fucom-f. Facta Universitatis, Series: Mechanical Engineering, 18(3), 419–437.

Pamucar, D., Stević, Ž., & Zavadskas, E. K. (2018). Integration of interval rough AHP and interval rough MABAC methods for evaluating university web pages. Applied Soft Computing Journal, 67, 141–163.

Pandey, M. M., & Shukla, D. (2019). Evaluating the human performance factors of air traffic control in Thailand using Fuzzy Multi Criteria Decision Making method. Journal of Air Transport Management, 81.

Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL a multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–233.

Puška, A., Stojanović, I., Maksimović, A., & Osmanović, N. (2020). Evaluation software of project management used measurement of alternatives and ranking according to compromise solution (MARCOS) method. Operational Research in Engineering Sciences: Theory and Applications, 3(1), 89–102.

Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. MacGraw-Hill.

Shankar, A., & Datta, B. (2020). Measuring e-service quality : a review of literature. International Journal of Services Technology and Management, 26(1), 77–100.

SHGM. (2020). Sivil Havacılık Genel Müdürlüğü Faaliyet Raporu.

Singh, A., & Prasher, A. (2019). Measuring healthcare service quality from patients’ perspective: using Fuzzy AHP application. Total Quality Management and Business Excellence, 30(3–4), 284–300.

SITA. (2019). Air Transport IT Insights 2019. Surveys & Reports.

Stanković, Milan, Gladović, P., & Popović, V. (2019). Determining the importance of the criteria of traffic accessibility using fuzzy AHP and rough AHP method. Decision Making: Applications in Management and Engineering, 2(1), 86–104.

Stanković, Miomir, Stević, Ž., Das, D. K., Subotić, M., & Pamucar, D. (2020). A New Fuzzy MARCOS Method for Road Traffic Risk Analysis. Mathematics, 8(3), 1–18.

Stević, Ž., & Brković, N. (2020). A Novel Integrated FUCOM MARCOS Model for Evaluation of Human Resources in a Transport Company. Logistics, 4(1), 1–14.

Stević, Ž., Pamucar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers and Industrial Engineering, 140.

Tarkang, M. M. E. M., Alola, U. V., Nange, R. Y., & Ozturen, A. (2020). Investigating the factors that trigger airline industry purchase intention. Current Psychology.

Tsai, W. H., Chou, W. C., & Leu, J. Der. (2011). An effectiveness evaluation model for the web-based marketing of the airline industry. Expert Systems with Applications, 38(12), 15499–15516.

Ustasüleyman, T. (2013). Bankacılık Sektöründe İnternet Sitesi Kalitesi Boyutlarının (Kriterlerinin) Önem Derecesinin Belirlenmesi. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 11(1), 146–162.

Vatansever, K., & Akgül, Y. (2018). Performance evaluation of websites using entropy and grey relational analysis methods: The case of airline companies. Decision Science Letters, 7(2), 119–130.

Vuthisopon, S., & Srinuan, C. (2017). Low-cost carrier passenger repurchase intention: A structural equation model analysis. Asia-Pacific Social Science Review, 17(2), 249–266.

Williams, G. (2011). Comparing the Economic and Operating Characteristics of Charter and Low-cost Scheduled Airlines. In J. F. O’Connell & G. Williams (Eds.), Air Transport in the 21st Century (pp. 185–195). Ashgate Publishing.

Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: Dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183–198.

Yazdani, M., Chatterjee, P., Pamucar, D., & Abad, M. D. (2019). A risk-based integrated decision-making model for green supplier selection. Kybernetes, 49(4), 1229–1252.

Yoo, B., & Donthu, N. (2001). Developing a scale to measure the perceived quality of an Internet shopping site (SITEQUAL). Quarterly Journal of Electronic Commerce, 2(1), 31–45.

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.

How to Cite
Bakır, M., & Atalık, Özlem. (2021). Application of Fuzzy AHP and Fuzzy MARCOS Approach for the Evaluation of E-Service Quality in the Airline Industry. Decision Making: Applications in Management and Engineering, 4(1), 127-152.