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ANALYSIS OF THE FINANCIAL PERFORMANCE OF AIRLINE COMPANIES IN STAR ALLIANCE IN THE PERIOD 2018-2022 USING LOPCOW-TOPSIS METHODS

Cilt: 24 Sayı: 4 1 Kasım 2024
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ANALYSIS OF THE FINANCIAL PERFORMANCE OF AIRLINE COMPANIES IN STAR ALLIANCE IN THE PERIOD 2018-2022 USING LOPCOW-TOPSIS METHODS

Öz

This study aims to comparatively evaluate the financial performance of the airlines included in Star Alliance for the period 2018-2022 for pre-COVID-19, COVID-19 and post-COVID-19 periods. For the performance evaluation, 5 criteria and a total of 9 financial performance ratios were used. LOPCOW method was used to determine the criteria (importance) weights of the calculated financial performance ratios and TOPSIS method was used to determine the performance rankings. According to the results of LOPCOW analysis, the most important criterion was determined as net profit/total assets (PR3) for 2018, net profit/total equity (PR2) for 2019 and 2021, short-term debt/total assets (FSR3) for 2020 and net profit/net sales (PR1) for 2022. The criterion with the lowest importance weight is net balance sheet position/equity (CA) for 2018, 2019 and 2021, net sales/ current assets (AT) for 2020, and short-term debt/total assets (FSR3) for 2022. According to TOPSIS performance evaluation results, the best performing airline was Shenzhen Airlines in 2018, 2019 and 2020, Thai Airways International in 2021 and Aegean in 2022. The airline that ranked last in the performance ranking was Croatia Airlines in 2018, Asian Airlines in 2019, Thai Airways International in 2020, Air Canada in 2021 and Air China in 2022.

Anahtar Kelimeler

Kaynakça

  1. Avcı, T., & Çınaroğlu, E. (2018). AHP Temelli TOPSIS Yaklaşımı İle Havayolu İşletmelerinin Finansal Performans Değerlemesi. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 19(1), 316-335.
  2. Bae, K., Gupta, A., & Mau, R. (2021). Comparative Analysis of Airline Financial and Operational Performances: A fuzzy AHP and TOPSIS Integrated Approach. Decision Science Letters, 10(3), 361-374. http://dx.doi.org/10.5267/j.dsl.2021.2.002.
  3. Bakır, M., Akan, Ş., Kiracı, K., Karabasevic, D., Stanujkic, D., & Popovic, G. (2020). Multiple-Criteria Approach of the Operational Performance Evaluation in the Airline Industry: Evidence from the Emerging Markets. Romanian Journal of Economic Forecasting, 23(2), 149-172.
  4. Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A State-of the-Art Survey of TOPSIS Applications. Expert Systems with Applications, 39(17), 13051-13069, https://doi.org/10.1016/j.eswa.2012.05.056.
  5. Bektaş, S. (2023). Özel Sermayeli Bir Mevduat Bankasının Sürdürülebilirlik Performansının Hibrit ÇKKV Modeliyle Değerlendirilmesi: 2009-2021 Dönemi Akbank Örneği. İzmir İktisat Dergisi, 38(4), 884-907, https://dx.doi.org/10.24988/ije.1216968.
  6. Bektaş, S. (2022). Türk Sigorta Sektörünün 2002-2021 Dönemi için MEREC, LOPCOW, COCOSO, EDAS ÇKKV Yöntemleri ile Performansının Değerlendirilmesi. BDDK Bankacılık ve Finansal Piyasalar Dergisi, 16 (2), 247-283, https://dx.doi.org/10.46520/bddkdergisi.1178359.
  7. Belton, V., & Stewart, T. (2002). Multiple Criteria Decision Analysis: An Integrated Approach. Springer Science & Business Media.
  8. Chang, Y. H., & Yeh, C. H. (2001). Evaluating Airline Competitiveness Using Multi Attribute Decision Making. Omega, 29(5), 405-415.

Ayrıntılar

Birincil Dil

İngilizce

Konular

İşletme

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

17 Ekim 2024

Yayımlanma Tarihi

1 Kasım 2024

Gönderilme Tarihi

27 Şubat 2024

Kabul Tarihi

28 Temmuz 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 24 Sayı: 4

Kaynak Göster

APA
Yavuz, İ. (2024). ANALYSIS OF THE FINANCIAL PERFORMANCE OF AIRLINE COMPANIES IN STAR ALLIANCE IN THE PERIOD 2018-2022 USING LOPCOW-TOPSIS METHODS. Ege Academic Review, 24(4), 531-562. https://doi.org/10.21121/eab.20240404
AMA
1.Yavuz İ. ANALYSIS OF THE FINANCIAL PERFORMANCE OF AIRLINE COMPANIES IN STAR ALLIANCE IN THE PERIOD 2018-2022 USING LOPCOW-TOPSIS METHODS. eab. 2024;24(4):531-562. doi:10.21121/eab.20240404
Chicago
Yavuz, İbrahim. 2024. “ANALYSIS OF THE FINANCIAL PERFORMANCE OF AIRLINE COMPANIES IN STAR ALLIANCE IN THE PERIOD 2018-2022 USING LOPCOW-TOPSIS METHODS”. Ege Academic Review 24 (4): 531-62. https://doi.org/10.21121/eab.20240404.
EndNote
Yavuz İ (01 Kasım 2024) ANALYSIS OF THE FINANCIAL PERFORMANCE OF AIRLINE COMPANIES IN STAR ALLIANCE IN THE PERIOD 2018-2022 USING LOPCOW-TOPSIS METHODS. Ege Academic Review 24 4 531–562.
IEEE
[1]İ. Yavuz, “ANALYSIS OF THE FINANCIAL PERFORMANCE OF AIRLINE COMPANIES IN STAR ALLIANCE IN THE PERIOD 2018-2022 USING LOPCOW-TOPSIS METHODS”, eab, c. 24, sy 4, ss. 531–562, Kas. 2024, doi: 10.21121/eab.20240404.
ISNAD
Yavuz, İbrahim. “ANALYSIS OF THE FINANCIAL PERFORMANCE OF AIRLINE COMPANIES IN STAR ALLIANCE IN THE PERIOD 2018-2022 USING LOPCOW-TOPSIS METHODS”. Ege Academic Review 24/4 (01 Kasım 2024): 531-562. https://doi.org/10.21121/eab.20240404.
JAMA
1.Yavuz İ. ANALYSIS OF THE FINANCIAL PERFORMANCE OF AIRLINE COMPANIES IN STAR ALLIANCE IN THE PERIOD 2018-2022 USING LOPCOW-TOPSIS METHODS. eab. 2024;24:531–562.
MLA
Yavuz, İbrahim. “ANALYSIS OF THE FINANCIAL PERFORMANCE OF AIRLINE COMPANIES IN STAR ALLIANCE IN THE PERIOD 2018-2022 USING LOPCOW-TOPSIS METHODS”. Ege Academic Review, c. 24, sy 4, Kasım 2024, ss. 531-62, doi:10.21121/eab.20240404.
Vancouver
1.İbrahim Yavuz. ANALYSIS OF THE FINANCIAL PERFORMANCE OF AIRLINE COMPANIES IN STAR ALLIANCE IN THE PERIOD 2018-2022 USING LOPCOW-TOPSIS METHODS. eab. 01 Kasım 2024;24(4):531-62. doi:10.21121/eab.20240404

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