Journals / Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty / 2023 / Cilt: 10 Sayı: 3

MEASURING THE EFFICIENCY OF TRADITIONAL AIRLINE COMPANIES WITH DATA ENVELOPMENT ANALYSIS BEFORE AND AFTER THE PANDEMIC

GELENEKSEL HAVAYOLU FİRMALARININ PANDEMİ ÖNCESİ VE SONRASI ETKİNLİĞİNİN VERİ ZARFLAMA ANALİZİ İLE ÖLÇÜLMESİ

Pages
1976–1987
Publication Date
2023-11-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the results of the analysis, Aegean Airlines was fully efficient both before and after the pandemic.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The Covid-19 pandemic has affected traditional airlines, the largest passenger segment of which is international traffic.
📊
Key Findings & Data:The closure of borders due to the pandemic has significantly reduced passenger numbers of traditional airlines.
💡
Conclusion & Impact:According to the results of the analysis, Aegean Airlines was fully efficient both before and after the pandemic.
🔬Design:Research Article
📍Scope:2019-2020 Verileri
⚙️Variables:Geleneksel Havayolu Stratejisi · Havayolu Firmaları · Covid-19

Abstract

The Covid-19 pandemic has affected traditional airlines, the largest passenger segment of which is international traffic. The closure of borders due to the pandemic has significantly reduced passenger numbers of traditional airlines. The aim of this study is to reveal the pre-pandemic and post-pandemic performances of the nine largest traditional airlines in Europe by using Data Envelopment Analysis (DEA). For this purpose, the efficiency of airline companies was compared before and after the pandemic by using aviation data between the years 2019-2020. In this context, “Available seat kilometer”, “number of employees” and “number of aircraft” were used as input variables, "passenger number" was used as output variable. According to the results of the analysis, Aegean Airlines was fully efficient both before and after the pandemic.

Özet

Covid-19 pandemisi dünyada en çok, en büyük yolcu segmenti uluslararası trafik olan geleneksel havayolu firmalarını etkilemiştir. Pandemi nedeniyle sınırların kapanması geleneksel havayolu firmalarının yolcu sayılarını önemli ölçüde azaltmıştır. Bu çalışmanın amacı, Veri Zarflama Analizi (VZA) kullanılarak 2020 yolcu sayısına göre Avrupa’daki en büyük dokuz geleneksel havayolu firmasının pandemi öncesi ve sonrası dönemdeki performanslarını ortaya koymaktır. Bunun için, araştırmada 2019-2020 yılları arasındaki havacılık verilerinden yararlanılarak pandemi öncesi ve sonrası için havayolu firmalarının etkinliklerinin karşılaştırılması yapılmıştır. Bu kapsamda girdi olarak; “arz edilen koltuk kilometre”, “çalışan sayısı” ve “uçak sayısı”, çıktı olarak ise; “yolcu sayısı” kullanılmıştır. Analiz sonuçlarına göre hem pandemi öncesi hem de pandemi sonrasında Aegean Airlines havayolu firması tam etkin çıkmıştır.

🔖

Cite This Article

KELEŞ, M. K. (2023). MEASURING THE EFFICIENCY OF TRADITIONAL AIRLINE COMPANIES WITH DATA ENVELOPMENT ANALYSIS BEFORE AND AFTER THE PANDEMIC. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, Cilt: 10 Sayı: 3, 1976–1987. https://ajindex.com/articles/1019755

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (7)

  1. Aegean Group (2019). 2019 Sustainable Development Reports. 22 Kasım 2022 tarihinde https://en.about.aegeanair.com/corporate-responsibility/csr-report/ adresinden erişildi. Aegean Group (2020). 2020 Sustainable Development Reports. 22 Kasım 2022 tarihinde https://en.about.aegeanair.com/corporate-responsibility/csr-report/ adresinden erişildi. Aeroflot (2019). Annual report 2019. 22 Kasım 2022 tarihinde https://ir.aeroflot.ru/en/reporting/annual-reports/ adresinden erişildi. Aeroflot (2020). Annual report 2020. 22 Kasım 2022 tarihinde https://ir.aeroflot.ru/en/reporting/annual-reports/ adresinden erişildi. Air France-KLM Group (2019). 2019 Annual report. 22 Kasım 2022 tarihinde https://www.airfranceklm.com/sites/default/files/q4_2019_press_release_en_8855736.pdf adresinden erişildi. Air France-KLM Group (2020). 2020 Annual report. 22 Kasım 2022 tarihinde https://www.airfranceklm.com/sites/default/files/2022-09/q4_2020_press_release_en_final%20%281%29.pdf adresinden erişildi. Asker, V. (2018). Veri zarflama analizi ile finansal ve operasyonel etkinlik ölçümü: Geleneksel havayolu işletmelerinde bir uygulama. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 8(18), 153-172.
  2. Asker, V. (2021a). Havayolu işletmelerinde iki aşamalı veri zarflama analizi ile etkinlik ölçümü. MANAS Sosyal Araştırmalar Dergisi, 10(4), 2373-2385.
  3. Asker, V. (2021b). Havayolu stratejik işbirliklerinde veri zarflama analizi ile finansal performansın incelenmesi. Journal of Aviation, 5(2), 181-191. DOI: 10.30518/jav.988297. Auerbach, S., & Delfmann, W. (2017). Consolidating the network carrier business model in the European airline industry. In Strategie Management in the Aviation Industry içinde, 65-96.
  4. Routledge Bingelli, U., & Pompeo, L. (2002). Hyped hopes for Europe's low-cost airlines: Europe's most successful no-frills carriers are making a lot of money. But as they mature, they will have problems expanding. The McKinsey Quarterly, 87-99.
  5. Cao, Q., Lv, J., & Zhang, J. (2015). Productivity efficiency analysis of the airlines in China after deregulation. Journal of Air Transport Management, 42, 135-140. https://doi.org/10.1016/j.jairtraman.2014.09.009.
  6. Charnes, A., Cooper, W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8.
  7. Chen, Y., Cheng, S. & Zhu, Z. (2021). Exploring the operational and environmental performance of Chinese airlines: A two-stage undesirable SBM-