GLOBAL AIRLINE ALLIANCES BEFORE AND DURING THE COVID-19 CRISIS: EXPLORING THE CRITICAL SUCCESS FACTORS THROUGH CRITIC-CoCoSo METHODS

Year 2022, Volume: 23 Issue: 4, 177 - 203, 31.12.2022

Gökhan Tanrıverdi , Mustafa Eryaşar

https://doi.org/10.53443/anadoluibfd.1142910

Cited By: 1

Abstract

This study aims to reveal the critical success factors that provide global airline alliances success by making a comparative analysis of the performances of global airline alliances for the period before and during the pandemic. To do this, the performance data of 35 airlines that are members of Star Alliance, SkyTeam, and Oneworld alliances were analyzed for the years between 2017 and 2020 by using CRITIC-CoCoSo methods. The study benefits 7 criteria including 3 financial and 4 operational. The results reveal that the operating result and the load factor are among the critical success factors for global airline alliances when considering all years analyzed. In addition, SkyTeam alliance is in the first place during the pandemic period, while it is in the last place after Oneworld and Star Alliance in the general ranking. The study is expected to contribute to the airline management literature, executives of global airline alliances and member airlines by exploring the critical success factors that global airline alliances must have to overcome negative effects of crisis periods and to be sustainable.

Keywords

Covid-19 Pandemic, Crisis Management, Global Airline Alliances, Performance Evaluation, MCDM, CoCoSo

COVID-19 KRİZİ ÖNCESİ VE SIRASINDA KÜRESEL HAVAYOLU İTTİFAKLARI: CRITIC-CoCoSo YÖNTEMLERİ ARACILIĞIYLA KRİTİK BAŞARI FAKTÖRLERİNİN BELİRLENMESİ

Abstract

Bu araştırmanın amacı küresel havayolu ittifaklarının pandemi öncesi ve pandemi sürecindeki performanslarının karşılaştırmalı olarak analizinin yapılması yoluyla küresel havayolu ittifaklarını başarıya ulaştıran kritik başarı faktörlerini ortaya çıkarmaktır. Bu amaç doğrultusunda Star Alliance, SkyTeam ve Oneworld ittifaklarına üye 35 havayolunun 2017-2020 yıllarına ait performans verilerinin, 3 finansal ve 4 operasyonel olmak üzere toplam 7 kriter üzerinden, çok kriterli karar verme yöntemlerinden (ÇKKV) CRITIC-CoCoSo yöntemleri aracılığıyla analizi gerçekleştirilmiştir. Çalışma tüm yıllar bazında küresel havayolu ittifakları için faaliyet karı ve doluluk oranının kritik başarı faktörleri arasında yer aldığını ortaya koymaktadır. Ayrıca pandemi sürecinde SkyTeam ittifakının performans sıralamasında ilk sırada yer aldığı tespit edilirken genel sıralamada ise SkyTeam’in Oneworld ve Star Alliance’ın ardından son sırada olduğu görülmüştür. Çalışmanın küresel havayolu ittifaklarının kriz dönemlerinin olumsuz etkilerinin üstesinden gelebilmesi ve sürdürülebilir olması için sahip olması gereken kritik başarı faktörlerini ortaya koyarak literatüre ve küresel havayolu ittifakı ve üye havayolları yöneticilerine katkı sağlaması beklenmektedir.

Keywords

Covid-19 Pandemisi, Kriz Yönetimi, Küresel Havayolu İttifakları, Performans Değerlendirmesi, ÇKKV, CoCoSo

References

• Alinezhad, A., & Khalili, J. (2019). CRITIC method. In New Methods and Applications in Multiple Attribute Decision Making (MADM) (pp. 199-203). Cham: Springer.
• Annaç Göv, S. (2020). Strategic Alliances in Airline Business: Comparison of Skyteam, Oneworld, Star Alliance Groups. Yönetim Bilimleri Dergisi, 18(38), 815-837.
• Asker, V. (2021). Havayolu Stratejik İşbirliklerinde Veri Zarflama Analizi İle Finansal Performansın İncelenmesi. Journal of Aviation, 5(2), 181-191.
• Aydın, Y. (2020). Bütünleşik CRITIC ve MAIRCA Yöntemleri ile Kamu Sermayeli Bankalarının Performans Analizi. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 5(4), 829-841.
• Chang, W.-L., & Chiu, C.-L. (2016). Coopetition under alliance? Applying awareness-motivation-capability competitive dynamics perspective. Journal of Business Economics and Management, 17(5), 701-716.
• Chutiphongdech, T. (2017). Airline Economics: An Essay on International Airline Alliances. Thailand and the World Economy, 37(2), 78-95.
• Çakır, S., & Perçin, S. (2013). Çok kriterli karar verme teknikleriyle lojistik firmalarinda performans ölçümü/Performance measurement of logistics firms with multi-criteria decision making methods. Ege Akademik Bakis, 13(4), 449.
• Deveci, M., Pamucar, D., & Gokasar, I. (2021). Fuzzy Power Heronian function based CoCoSo method for the advantage prioritization of autonomous vehicles in real-time traffic management. Sustainable Cities and Society, 69, 102846.
• 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 Practice, 103, 432-443.
• Ecer, F., & Aycin, E. (2022). Novel Comprehensive MEREC Weighting-Based Score Aggregation Model for Measuring Innovation Performance: The Case of G7 Countries. Informatica, 1-31.
• Ecer, F., Pamucar, D., Zolfani, S. H., & Eshkalag, M. K. (2019). Sustainability assessment of OPEC countries: Application of a multiple attribute decision making tool. Journal of Cleaner Production, 241, 118324.
• Ecer, F., & Pamucar, D. (2020). Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with BWM-LBWA-CoCoSoOPECroni (CoCoSo’B) multi-criteria model. Journal of Cleaner Production, 266, 121981.
• Franke, M., & John, F. (2011). What comes next after recession? - Airline industry scenarios and potential end games. Journal of Air Transport Management. https://doi.org/10.1016/j.jairtraman.2010.10.005
• Gençkaya, Ö., Gündoğdu, H. G., & Aytekin, A. (2021). Büyükşehir belediyeleri web sitelerinin yönetişim ilkeleri açısından değerlendirilmesi. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 16(3), 705-726.
• Graham, B., & Vowles, T. M. (2006). Carriers within carriers: A strategic response to low-cost airline competition. Transport Reviews. https://doi.org/10.1080/01441640500179377
• Greenberg, P. (1990). The new global airlines. Europe, 297, 31-32.
• Hsu, Li-Chang; Ou, Shang-Ling; Ou, Yih-Chang (2015). A Comprehensive performance evaluation and ranking methodology under a sustainable development perspective. Journal of Business Economics and Management, 16(1), 74–92.
• IATA. (2019). World Air Traffic Statistics (WATS). International Air Transport Association. Retrieved 24.06.2022 from https://www.iata.org/en/publications/store/world-air-transport-statistics
• Iatrou, K., & Alamdari, F. (2005). The empirical analysis of the impact of alliances on airline operations. Journal of Air Transport Management, 11(3), 127-134.
• Ireland, R. D., Hitt, M. A., & Vaidyanath, D. (2002). Alliance management as a source of competitive advantage. Journal of management, 28(3), 413-446.
• Kiracı, K., & Bakır, M. (2018). Using the multi criteria decision making methods in aircraft selection problems and an application. Journal of Transportation and Logistics, 3(1), 13-24.
• Kiracı, K., & Bakır, M. (2020). Evaluation of airlines performance using an integrated CRITIC and CODAS methodology: the case of star alliance member airlines. Studies in Business and Economics, 15(1), 83-99.
• Klophaus, R., & Lordan, O. (2018). Codesharing network vulnerability of global airline alliances. Transportation Research Part A: Policy and Practice, 111, 1-10.
• Kopeć, E., & Wolanin, A. (2019). Significance of Strategic Alliances; the Case of Airline Alliances. Perspektywy Kultury, 27(4), 107-126.
• Kottas, A. (2018). Airline Alliances: Evolution, Typologies and Comparative Efficiency Analysis. Yayımlanmamış Yüksek Lisans Tezi. Thessaloniki: Aristotle University of Thessaloniki.
• Kuzminykh, N., & Zufan, P. (2014). Airline alliances and their influence on firm performance. Procedia Economics and Finance, 12, 329-333.
• Kyrylenko, O., Riazanovska, V., & Novak, V. (2019). Strategic airline alliances as a special form of company integration. Baltic Journal of Economic Studies, 5(1), 75-80.
• Lai, H., Liao, H., Wen, Z., Zavadskas, E. K., & Al-Barakati, A. (2020). An improved CoCoSo method with a maximum variance optimization model for cloud service provider selection. Engineering Economics, 31(4), 411-424.
• Lufthansa Consulting (2021). Stronger together: surviving the COVID 19 crisis with airline partnerships. Retrieved from https://www.lhconsulting.com/company/news/article/stronger-together-surviving-the-covid-19-crisis-with-airline-partnerships/
• Madić, M., & Radovanović, M. (2015). Ranking of some most commonly used nontraditional machining processes using ROV and CRITIC methods. UPB Sci. Bull., Series D, 77(2), 193-204.
• Migdadi, Y. K. A.-A. (2022). The impact of airline alliance strategy on the perceived service quality: A global survey. Journal of Quality Assurance in Hospitality & Tourism, 23(2), 415-446.
• Min, H., & Joo, S.-J. (2016). A comparative performance analysis of airline strategic alliances using data envelopment analysis. Journal of Air Transport Management, 52, 99-110.
• Morrish, S. C., & Hamilton, R. T. (2002). Airline alliances—who benefits? Journal of air transport management, 8(6), 401-407.
• Novak, V.A., Symonenko, Y. G. & Litvinenko, L. L. (2009). Peculiarities of international strategic alliances activity. International Scientific Journal, 1(3), 100-105.
• Popović, M. (2021). An MCDM approach for personnel selection using the CoCoSo method. Journal of process management and new technologies, 9(3-4), 78-88.
• Oneworld. (2022). Oneworld Member Airlines. Retrieved 24.06.2022 from https://www.oneworld.com/members
• 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.
• Payán-Sánchez, B., Pérez-Valls, M., & Plaza-Úbeda, J. A. (2019). The contribution of global alliances to airlines’ environmental performance. Sustainability, 11(17), 4606.
• Peng, I.-C., & Lu, H.-A. (2022). Coopetition effects among global airline alliances for selected Asian airports. Journal of Air Transport Management, 101, 102193.
• Seo, G.-H. (2020). Competitive advantages of international airline alliances: a critical review. HOLISTICA–Journal of Business and Public Administration, 11(1), 139-145.
• Skyteam. (2022). Our Members. Retrieved 24.06.2022 from https://www.skyteam.com/EN
• Staralliance. (2022). Star Alliance Member Airlines. Retrieved 24.06.2022 from https://www.staralliance.com
• Tanrıverdi, G. (2022). Covid-19 Pandemisinin Stratejik Havayolu İşbirlikleri Üzerine Etkisi: Twıtter Verisi İle Küresel Havayolu İttifaklarının Sürdürülebilirliklerine Yönelik Keşfedici Bir Yaklaşım. In K. Kiracı (Ed.), Hava Taşımacılığında Güncel Araştırmalar (pp. 1-16). Ankara: Detay Yayıncılık.
• Torkayesh, A. E., Ecer, F., Pamucar, D., & Karamaşa, Ç. (2021). Comparative assessment of social sustainability performance: Integrated data-driven weighting system and CoCoSo model. Sustainable Cities and Society, 71, 102975.
• Torkayesh, A. E., Pamucar, D., Ecer, F., & Chatterjee, P. (2021). An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe. Socio-Economic Planning Sciences, 78, 101052.
• Thendu, B. (2020). Influence of strategic alliances on the performance of airline carriers registered under IATA: a literature based review. African Journal of Emerging Issues, 2(2), 48-69.
• Ulutaş, A., Karakuş, C. B., & Topal, A. (2020). Location selection for logistics center with fuzzy SWARA and CoCoSo methods. Journal of Intelligent & Fuzzy Systems, 38(4), 4693-4709.
• Wan, X., Zou, L., & Dresner, M. (2009). Assessing the price effects of airline alliances on parallel routes. Transportation Research Part E: Logistics and Transportation Review, 45(4), 627-641.
• Wang, T. C., & Lee, H. D. (2009). Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert systems with applications, 36(5), 8980-8985.
• Wang, S. W. (2014). Do global airline alliances influence the passenger's purchase decision? Journal of Air Transport Management, 37, 53-59.
• Weber, M., & Dinwoodie, J. (2000). Fifth freedoms and airline alliances. The role of fifth freedom traffic in an understanding of airline alliances. Journal of Air Transport Management, 6(1), 51-60.
• Yazdani, M., Zarate, P., Zavadskas, E. K., & Turskis, Z. (2018). A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(9), 2501-2519.
• Žižović, M., Miljković, B., & Marinković, D. (2020). Objective methods for determining criteria weight coefficients: A modification of the CRITIC method. Decision Making: Applications in Management and Engineering, 3(2), 149-161.