Exploring service quality of low-cost airlines in Europe: An integrated MCDM approach

Bakır, Mahmut; Akan, Şahap; Durmaz, Emrah

doi:10.18559/ebr.2019.2.6

Abstract

This study aims to evaluate service quality performance of major LCCs (Low Cost Carriers) in Europe by the MCDM (Multi-Criteria Decision Making) methodology. In addition it focuses on managerial business models and includes the international airline service providers that have applied the cost leadership strategy. In the study passenger reviews based on customer-rating systems are adopted as an alternative data source. For this purpose 24,971 passenger reviews, including 7 evaluation criteria, are analyzed. In this integrated methodology the Entropy method is used to weight the service quality criteria and the WASPAS method is used to rank the airlines. A sensitivity analysis is also applied and the robustness and stability of the application are confirmed. Consequently Jet2.com demonstrates the best service performance overall and legroom is the most important evaluation criterion.

References

Adalı, E. A., & Işık, A. T. (2017). Bir Tedarikçi Seçim Problemi İçin SWARA ve WASPAS Yöntemlerine Dayanan Karar Verme Yaklaşımı. International Review of Economics and Management, 5(4), 56-77.10.18825/iremjournal.335408
Search in Google Scholar Back to article
Atilgan, E., Akinci, S., & Aksoy, S. (2003). Mapping service quality in the tourism industry. Managing Service Quality: An International Journal, 13(5), 412-422.10.1108/09604520310495877
Open DOI Search in Google Scholar Back to article
Baker, D. (2013). Service quality and customer satisfaction in the airline industry: A comparison between legacy airlines and low-cost airlines. American Journal of Tourism Research, 2(1), 67-77.10.11634/216837861302317
Search in Google Scholar Back to article
Cento, A. (2009). The airline industry challenges in the 21st century. Heidelberg: Physica-Verlag.10.1007/978-3-7908-2088-1
Search in Google Scholar Back to article
Chakraborty, S., Bhattacharyya, O., Zavadskas, E. K., & Antucheviciene, J. (2015). Application of WASPAS method as an optimization tool in non-traditional machining processes. Information Technology and Control, 44(1), 77-88.
Search in Google Scholar Back to article
Chakraborty, S., & Zavadskas, E. K. (2014). Applications of WASPAS method in manufacturing decision making. Informatica, 25(1), 1-20.10.15388/Informatica.2014.01
Open DOI Search in Google Scholar Back to article
Chen, Y., Tseng, M., & Lin, R. (2011). Evaluating the customer perceptions on in-flight service quality. African Journal of Business Management, 5(7), 2854-2864.
Search in Google Scholar Back to article
Cox, C., Burgess, S., Sellitto, C., & Buultjens, J. (2009). The role of user-generated content in tourists’ travel planning behavior. Journal of Hospitality Marketing and Management, 18(8), 743-764.10.1080/19368620903235753
Search in Google Scholar Back to article
Cunningham, L., Young, C., & Lee, M. (2004). Perceptions of airline service quality: Pre and post 9/11. Public Works Management & Policy, 9(1), 10-25.10.1177/1087724X04265135
Search in Google Scholar Back to article
Curtis, T., Rhoades, D., & Waguespack, B. P. (2012). Satisfaction with airline service quality: Familiarity breeds contempt. International Journal of Aviation Management, 1(4), 242-256.10.1504/IJAM.2012.050472
Search in Google Scholar Back to article
Eroğlu, E. (2005). Müşteri Memnuniyeti Ölçüm Modeli. İ.Ü. İşletme Fakültesi İşletme Dergisi, 34(1), 7-25.
Search in Google Scholar Back to article
Gal-Tzur, A., Rechavi, A., Beimel, D., & Freund, S. (2018). An improved methodology for extracting information required for transport related decisions from Q & A forums: A case study of TripAdvisor. Travel Behaviour and Society, 10, 1-9.10.1016/j.tbs.2017.08.001
Open DOI Search in Google Scholar Back to article
Ghorabaee, M. K., 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), 32-49.10.1016/j.acme.2017.04.011
Search in Google Scholar Back to article
Ghorabaee, M. K., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2017). A new hybrid simulation-based assignment approach for evaluating airlines with multiple service quality criteria. Journal of Air Transport Management, 63, 45-60.10.1016/j.jairtraman.2017.05.008
Search in Google Scholar Back to article
Gupta, H. (2018). Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35-47.10.1016/j.jairtraman.2017.06.001
Search in Google Scholar Back to article
Gümüş, S., & Göker, E. Ü. (2012). Hizmet kalitesinin hizmet performansına etkisi: bir hastanede uygulama. İstanbul: Hiperlink Yayınları.
Search in Google Scholar Back to article
Han, H. (2013). Effects of in-flight ambience and space/function on air travelers’ decision to select a low-cost airline. Tourism Management, 37, 125-135.10.1016/j.tourman.2013.01.008
Search in Google Scholar Back to article
Heskett, J. L., Jones, T. O., Loveman, G. W., Sasser, W. E., & Schlesinger, L. A. (1994). Putting the service-profit chain to work. Harvard Business Review, 72(2), 164-174.
Search in Google Scholar Back to article
Huang, C. Y., Chou, C. J., & Lin, P. C. (2010). Involvement theory in constructing bloggers’ intention to purchase travel products. Tourism Management, (31), 513-526.10.1016/j.tourman.2009.06.003
Open DOI Search in Google Scholar Back to article
IATA. (2017). World Air Transport Statistics. IATA.
Search in Google Scholar Back to article
IATA. (2018). Traveler numbers reach new heights. Retrieved Ekim 12, 2018 from Pressroom Releases: https://www.iata.org/pressroom/pr/Pages/2018-09-06-01.aspx
Search in Google Scholar Back to article
ICAO. (2017). List of low-cost-carriers (LCCs). Retrieved November 18, 2017 from https://www.icao.int/sustainability/Documents/LCC-List.pdf
Search in Google Scholar Back to article
Karami, A., & Johansson, R. (2014). Utilization of multi attribute decision making techniques to integrate automatic and manual ranking of options. Journal of Information Science and Engineering, (30), 519-534.
Search in Google Scholar Back to article
Koklic, M., Kinney, M., & Vegelj, S. (2017). An investigation of customer satisfaction with low-cost and full-service airline companies. Journal of Business Research, 80, 188-196.10.1016/j.jbusres.2017.05.015
Open DOI Search in Google Scholar Back to article
Kotler, P., Kartajaya, H., & Setiawan, I. (2017). Marketing 4.0 moving from traditional to digital. New Jersey: Wiley.
Search in Google Scholar Back to article
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, 130-137.10.1016/j.jairtraman.2016.07.017
Search in Google Scholar Back to article
Lashgari, S., Antuchevičienė, J., Delavari, A., & Kheirkhah, O. (2014). Using QSPM and WASPAS methods for determining outsourcing strategies. Journal of Business Economics and Management, 15(4), 729-743.10.3846/16111699.2014.908789
Open DOI Search in Google Scholar Back to article
Lee, D., & Luengo-Prado, M. J. (2004). Are passengers willing to pay more for additional legroom?. Journal of Air Transport Management, 10(6), 377-383.10.1016/j.jairtraman.2004.06.005
Search in Google Scholar Back to article
Li, X., Wang, K., Liu, L., Xin, J., Yang, H., & Gao, C. (2011). Application of the entropy weight and TOPSIS method in safety evaluation of coal mines. I. International Symposium on Mine Safety Science and Engineering (pp. 2085-2091). Procedia Engineering.10.1016/j.proeng.2011.11.2410
Search in Google Scholar Back to article
Lim, S. S., & Tkaczynski, A. (2017). Origin and money matter: The airline service quality expectations of international students. Journal of Hospitality and Tourism Management, 31, 244-252.10.1016/j.jhtm.2017.03.001
Search in Google Scholar Back to article
Miguéns, J., Baggio, R., & Costa, C. (2008). Social media and tourism destinations: TripAdvisor case study. Advances in Tourism Research, 1-6.
Search in Google Scholar Back to article
O’Connell, J. F., & Williams, G. (2005). Passengers’ perceptions of low cost airlines and full service carriers: A case study involving Ryanair, Aer Lingus, Air Asia and Malaysia Airlines. Journal of Air Transport Management, 11, 259-272.10.1016/j.jairtraman.2005.01.007
Search in Google Scholar Back to article
O’Connor, P. (2010). Managing a hotel’s image on TripAdvisor. Journal of Hospitality Marketing & Management, 19, 754-772.10.1080/19368623.2010.508007
Search in Google Scholar Back to article
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-ıtem scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
Search in Google Scholar Back to article
Park, J. W., Robertson, R., & Wu, C. L. (2004). The effect of airline service quality on passengers’ behavioural intentions: A Korean case study. Journal of Air Transport Management, 10, 435-439.10.1016/j.jairtraman.2004.06.001
Search in Google Scholar Back to article
Perçin, S. (2017). Evaluating airline service quality using a combined fuzzy decision-making approach. Journal of Air Transport Management, 1-13.
Search in Google Scholar Back to article
Rao, R. V. (2007). Decision making in the manufacturing environment: Using graph theory and fuzzy multiple attribute decision making methods. London: Springer.
Search in Google Scholar Back to article
Rhoades, D., & Waguespack, B. (2008). Twenty years of service quality performance in the US airline industry. Managing Service Quality: An International Journal, 18(1), 20-33.10.1108/09604520810842821
Open DOI Search in Google Scholar Back to article
Saha, G., & Theingi. (2009). Service quality, satisfaction, and behavioural intentions: A study of low-cost airline carriers in Thailand. Managing Service Quality: An International Journal, 19(3), 350-372.10.1108/09604520910955348
Search in Google Scholar Back to article
Sandada, M., & Matibiri, B. (2016). An investigation into the impact of service quality, frequent flier programs and safety perception on satisfaction and customer loyalty in the airline industry in Southern Africa. South East European Journal of Economics and Business, 11(1), 41-53.10.1515/jeb-2016-0006
Search in Google Scholar Back to article
Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, (27), 379-423.10.1002/j.1538-7305.1948.tb01338.x
Open DOI Search in Google Scholar Back to article
Stamps, A. E. (2003). Advances in visual diversity and entropy. Environment and Planning B: Planning and Design, 30(3), 449-463.10.1068/b12986
Open DOI Search in Google Scholar Back to article
Sultan, F., & Simpson, M. (2000). International service variants: Airline passenger expectations and perceptions of service quality. Journal of Services Marketing, 14(3), 188-216.10.1108/08876040010327211
Open DOI Search in Google Scholar Back to article
TripAdvisor. (2018). Airlines. Retrieved January 1, 2018 from https://www.tripadvisor.com
Search in Google Scholar Back to article
Tsafarakis, S., Kokotas, T., & Pantouvakis, A. (2018). A multiple criteria approach for airline passenger satisfaction measurement and service quality Improvement. Journal of Air Transport Management, 68, 61-75.10.1016/j.jairtraman.2017.09.010
Search in Google Scholar Back to article
Tsantoulis, M., & Palmer, A. (2008). Quality convergence in airline co-brand alliances. Managing Service Quality: An International Journal, 18(1), 34-64.10.1108/09604520810842830
Open DOI Search in Google Scholar Back to article
Tsaur, S. H., Chang, T. Y., & Yen, C. H. (2002). The evaluation of airline service quality by fuzzy MCDM. Tourism Management, 23(2), 107-115.10.1016/S0261-5177(01)00050-4
Open DOI Search in Google Scholar Back to article
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.
Search in Google Scholar Back to article
Wu, J., Sun, J., Liang, L., & Zha, Y. (2011). Determination of weights for ultimate cross efficiency using Shannon entropy. Expert Systems with Applications, 38(5), 5162-6165.10.1016/j.eswa.2010.10.046
Open DOI Search in Google Scholar Back to article
Yoo, K. H., & Gretzel, U. (2008). What motivates consumers to write online travel reviews?. Information Technology & Tourism, 10(4), 283-295.10.3727/109830508788403114
Search in Google Scholar Back to article
Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2012). Optimization of weighted aggregated sum product assessment. Electronics and Electrical Engineering, 122(6), 3-6.10.5755/j01.eee.122.6.1810
Search in Google Scholar Back to article
Zeithaml, V., Berry, L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31-46.10.2307/1251929
Open DOI Search in Google Scholar Back to article
Zhang, H., Gu, C. L., Gu, L. W., & Zhang, Y. (2011). The evaluation of tourism destination competitiveness by TOPSIS & information entropy–A case in the Yangtze River Delta of China. Tourism Management, 32(2), 443-451.10.1016/j.tourman.2010.02.007
Open DOI Search in Google Scholar Back to article

Exploring service quality of low-cost airlines in Europe: An integrated MCDM approach

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