Araştırma Makalesi

Assessing Food and Beverage Companies During a Time of Crisis: A Comparative MCDA Approach

Cilt: 8 Sayı: 3 27 Eylül 2024
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Assessing Food and Beverage Companies During a Time of Crisis: A Comparative MCDA Approach

Abstract

Financial performance analysis plays a pivotal role in assisting companies achieve their future goals more decisively and in identifying the shortcomings in their competition with their rivals. Multi-Criteria Decision Analysis (MCDA) methods are used in complex scenarios where decisions can be made in different variations based on more than one criterion. During the pandemic, uncertainty increased in all capital markets and the volatility of financial instruments was intensely felt. To that end, the performance of 23 companies listed in the Food and Beverage index of Borsa Istanbul, which is an emerging market, between the years 2020 and 2022, corresponding to the pandemic period, will be analyzed in this study. In the research, where 6 accounting and valuation-based ratios were used as criteria, CRITIC objective weighting technique was integrated and analyzes were made with VIKOR, GRA, TOPSIS, SAW, FUCA, ELECTRE III and COPRAS methods. The results of this research are noteworthy as it is the first study on the relevant index that includes 7 different methods comparatively. Interestingly, as a result of the study, the VIKOR method provided the most sustainable success in this period of historical uncertainty, while the FUCA method took the second place.

Keywords

Kaynakça

  1. Akbulut, R. & Rencber, O. F. (2015). BİST’te İmalat Sektöründeki İşletmelerin Finansal Performansları Üzerine Bir Araştırma. Muhasebe ve Finansman Dergisi, (65), 117-136. https://doi.org/10.25095/mufad.396520
  2. Akbulut, O. Y. & Şenol, Z. (2021). Bütünleşik SD ve PROMETHEE ÇKKV Yöntemleri ile Portföy Optimizasyonu: BIST Gıda, İçecek ve Tütün Sektöründe Ampirik Bir Uygulama. Muhasebe ve Finansman Dergisi, (92), 161-182.
  3. Akkoç, S. & Vatansever, K. (2013). Fuzzy Performance Evaluation with AHP and TOPSIS Methods: Evidence from Turkish Banking Sector After the Global Financial Crisis. Eurasian Journal of Business and Economics, 6(11), 53-74.
  4. Aktan, B. & Bulut, C. (2008). Financial Performance Impacts of Corporate Entrepreneurship in Emerging Markets: A Case of Turkey. European Journal of Economics, Finance and Administrative Sciences, 12(8), 1530-2275.
  5. Ali, A. M., Abdelhafeez, A., Soliman, T. H. & ELMenshawy, K. (2024). A probabilistic hesitant fuzzy MCDM approach to selecting treatment policy for COVID-19. Decision Making: Applications in Management and Engineering, 7(1), 131-144.
  6. Almeida-Filho, A. T. D., de Lima Silva, D. F. & Ferreira, L. (2020). Financial Modelling with Multiple Criteria Decision Making: A Systematic Literature Review. Journal of the Operational Research Society, 72(10), 2161-2179.
  7. Amiri, M., Zandieh, M., Soltani, R. & Vahdani, B. (2009). A Hybrid Multi-Criteria Decision-Making Model for Firms’ Competence Evaluation. Expert Systems with Applications, 36(10), 12314-12322.
  8. Antil, P. & Singh, M. (2013). Performance Measurement of an Industry Using Simple Additive Weight. International Journal for Research in Applied Science and Engineering Technology, 1(3), 1-3.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Finans , Finansal Piyasalar ve Kurumlar

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

20 Eylül 2024

Yayımlanma Tarihi

27 Eylül 2024

Gönderilme Tarihi

25 Kasım 2023

Kabul Tarihi

20 Ağustos 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 8 Sayı: 3

Kaynak Göster

APA
Elma, O. E. (2024). Assessing Food and Beverage Companies During a Time of Crisis: A Comparative MCDA Approach. Fiscaoeconomia, 8(3), 1568-1598. https://doi.org/10.25295/fsecon.1394998
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