Evaluation of Airlines Performance Using an Integrated Critic and Codas Methodology: The Case of Star Alliance Member Airlines

Kiraci Kasim 1  and Bakir Mahmut 2
  • 1 Iskenderun Technical University, Department of Aviation Management, Turkey
  • 2 Eskişehir Technical University, Department of Aviation Management, Turkey


In the airline industry where intense competition has taken place, performance evaluation is vital for airlines to achieve their goals and to gain a competitive advantage. This study aims to evaluate the performance of airlines based on the role of performance evaluation in the airline industry. For this purpose, twelve FSCs (Full-Service Carriers) were evaluated based on financial and airline-specific performance indicators for the 2015-2017 period. While the sample consisted of Star Alliance member airlines, an integrated CRITIC and CODAS methodology was proposed in the study. In addition, a sensitivity analysis was performed after the application to examine the accuracy and the stability of the results. The results of the study reveal that financial indicators have a higher impact on performance compared to operational indicators. Moreover, Singapore Airline (SIA) is the best airline regardless of T change.

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  • Airline Business. (2017). Special Report Alliances. Reed Business Information Ltd.

  • Badi, İ. A., Abdulshahed, A. M., & Shetwan, A. G. (2018). A case study of supplier selection for a steelmaking company in Libya by using the Combinative Distance-Based Assessment (CODAS) Model. Decision Making: Applications in Management and Engineering, 1(1), 1-12.

  • Bellver, J. A., Royo, R. C., & Garcia, F. G. (2011). Spanish savings banks and their future transformation into private capital banks. determining their value by a multicriteria valuation methodology. European Journal of Economics, Finance and Administrative Sciences, 35, 156-164.

  • Boltürk, E. (2018). Pythagorean fuzzy CODAS and its application to supplier selection in a manufacturing firm. Journal of Enterprise Information Management, 31(4), 550-564.

  • Chao, C. C., & Kao, K. T. (2015). Selection of Strategic Cargo Alliance by Airlines. Journal of Air Transport Management(43), 29-36.

  • Çakır, S., & Perçin, S. (2013). Çok Kriterli Karar Verme Teknikleriyie Lojistik Firmalarında Performans Ölçümü. Ege Akademik Bakış, (4), 449-459.

  • Deng, H., Yeh, C. H., & Willis, R. J. (2000). Inter-company comparison using modified TOPSIS with objective weights. Computers& Operations Research, 27(10), 963-973.

  • Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770.

  • Douglas, I., & Tan, D. (2017). Global Airline Alliances and Profitability: A Difference-In-Difference Analysis. Transportation Research Part A: Policy and Practise(103), 432-443.

  • Gao, R., Nam, H. O., Ko, W. I., & Jang, H. (2017). National Options for a Sustainable Nuclear Energy System: MCDM Evaluation Using an Improved Integrated Weighting Approach. Energies(10), 1-24.

  • Garg, C. P. (2016). A Robust Hybrid Decision Model for Evaluation and Selection of the Strategic Alliance Partner in the Airline Industry. Journal of Air Transport Management(52), 55-66.

  • Ghorabaee, M. K., Amiri, M., Zavadskas, E. K., Hooshmand, R., & Antucheviciene, J. (2017). Fuzzy Extension of The CODAS Method For Multi-Criteria Market Segment Evalution. Journal of Business Economics and Management, 18(1), 1-19.

  • Ghorabaee, M. K., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2016). A New Combinative Distance-Based Assessment (CODAS) Method For Multi-Criteria Decision Making. Economic Computation and Economic Cybernetics Studies and Research, 3(50), 25-44.

  • Hsu, L. C., Ou, S. L., & Ou, Y. C. (2015). A Comprehensive performance evaluation and ranking methodology under a sustainable development perspective. Journal of Business Economics and Management, 16(1), 74-92.

  • Jahan, A., Mustapha, F., Sapuan, S. M., Ismail, M. Y., & Bahraminasab, M. (2012). A framework for weighting of criteria in ranking stage of material selection process. The International Journal of Advanced Manufacturing Technology, 58(1-4), 411-420.

  • Kalemba, N., Campa-Planas, F., Hernández-Lara, A. B., & Sánchez-Rebull, M. V. (2017). Service quality and economic performance in the US airline business. Aviation, 21(3), 102-110.

  • Kılıç, O., & Çerçioğlu, H. (2016). TCDD Iltisak Hatları Projelerinin Değerlendirilmesinde Uzlaşik Çok Kriterli Karar Verme Yöntemleri Uygulamasi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 31(1), 211-220.

  • Kuzminykh, N., & Zufan, P. (2014). Airline Alliances and Their Influence on Firm Performance. Procedia Economics and Finance(12), 329-333.

  • Lazzarini, S. G. (2007). The impact of membership in competing alliance constellations: Evidence on the operational performance of global airlines. Strategic Management Journal, 28(4), 345-367.

  • Liou, J. J., Tzeng, G. H., Tsai, C. Y., & Hsu, C. C. (2011). A Hybrid ANP Model in Fuzzy Environments for Strategic Alliance Partner Selection in the Airline Industry. Applied Soft Computing, 11(4), 3515-3524.

  • Madić, M., & Radovanović, M. (2015). Ranking of Some Most Commonly Used Non-Traditional Machining Process Using ROV and CRITIC Methods. U.P.B. Sci. Bull., Series D, 77(2), 193-204.

  • Mathew, M., & Sahu, S. (2018). Comparison of new multi-criteria decision making methods for matiral handling equipment selection. Management Science Letters, 8(3), 139-150.

  • Oum, T. H., Park, J. H., Kim, K., & Yu, C. (2004). The Effect of Horizontal Alliances on Firm Productivity and Profitability: Evidence from the Global Airline Industry. Journal of Business Research, 57(8), 844-853.

  • Pamučar, D., Badi, I., Sanja, K., & Obradović, R. (2018). A Novel Approach for the Selection of Power-Generation Technology Using a Linguistic Neutrosophic CODAS method. Energies, 11(9), 1-25.

  • Panchal, D., Chatterjee, P., Shukla, R. K., Choudhury, T., & Tamosaitiene, J. (2017). Integrated fuzzy AHP-CODAS framework for maintenance decision in urea fertilizer industry. Economic computation and economic cybernetics studies and research, 51, 179-196.

  • Park, N. K., & Cho, D. S. (1997). The Effect of Strategic Alliance on Performance: A Study of International Airline Industry. Journal of Air Transport Management, 3(3), 155-164.

  • Peng, X., & Garg, H. (2018). Algorithms for interval-valued fuzzy soft sets in emergency decision making based on WDBA and CODAS with new information measure. Computers& Industrial Engineering, 119, 439-452.

  • Rostamzadeh, R., Ghorabaee, M. K., Govindan, K., Esmaeili, A., & Nobar, H. B. (2018). Evaluation of sustainable supply chain risk management using an integrated Fuzzy TOPSIS-CRITIC approach. Journal of Cleaner Production(175), 651-669.

  • TDK. (2018). Güncel Türkçe Sözlük Retrieved Ağustos 15, 2018, from Türk Dil Kurumu: http://www.tdk.gov.tr/index.php?option=com_gts&arama=gts&guid=TDK.GTS.5b8b9f19e93a28.85094897

  • Tiernan, S., Rhoades, D., & Waguespack, B. (2008). Airline Alliance Service Quality Performance an Analysis of US and EU Member Airlines. Journal of Air Transport Management, 14(2), 99-102.

  • Trinkūniene, E., Podvezko, V., Zavadskas, E. K., Jokšiene, I., Vinogradova, I., & Trinkūnas, V. (2017). Evaluation of quality assurance in contractor contracts by multi-attribute decision-making methods. Economic Research-Ekonomska Istraživanja, 30 (1), 1152-1180.

  • Vasigh, B., Fleming, K., & Tacker, T. (2013). Introduction to Air Transport Economics: From Theory to Applications (2. ed.). Ashgate Publishing Company.

  • Wang, S. W. (2014). Do global airline alliances influence the passenger’s purchase decision? Journal of Air Transport Management, 37, 53-59.

  • Yıldız, F., Hotamışlı, M., & Eleren, A. (2011). Construction of Multi Dimensional Performance Measurement Model in Business Organizations: An Empirical Study. Journal of Economic& Social Studies, 1(1), 33-51.

  • Yimga, J. O. (2017). Airline Code-Sharing and Its Effects on On-Time Performance. Journal of Air Transport Management(58), 76-90.

  • Zardari, N. H., Ahmed, K., Shirazi, S. M., & Yusop, Z. B. (2015). Weighting Methods and Their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management. London: Springer International Publishing.

  • Zhang, J. Y., & Hao, J. F. (2015). The allocation of carbon emission intensity reduction target by 2020 among provinces in China. Natural Hazards, 79(2), 921-937.

  • Zou, L., & Chen, X. (2017). The Effect of Code-Sharing Alliances on Airline Profitability. Journal of Air Transport Management(58), 50-57.


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