Financial Performance Analysis of Enterprises in The Energy Sector with The Entropy Based Aras and GRI Method
Abstract
In the energy sector, which is a high-risk sector, it is important for enterprises to have financially strong infrastructure in order to sustain energy production. The sustainability of the enterprises is ensured by making financial performance measurements in reducing the risks related to the performance of the companies and examining the soundness of their financial infrastructures. In this context, it is aimed to evaluate the financial performance of enterprises in the energy sector with Entropy-based ARAS and GRI methods. In the study, eight enterprises operating in the Borsa İstanbul Electricity, Gas and Steam Sector were selected as a sample and the financial data used within the scope of the evaluation criteria are obtained from the Public Disclosure Platform (KAP) data distribution system. According to the results of ARAS and GRI method, in which the weights obtained by Entropy are used where the criterion weights are determined, Enerjisa Enerji A.Ş. was the company with the highest performance; it is found that the company with the lowest performance is PAMEL Renewable Electricity Generation Inc.
References
- Metin S., Yaman, S. ve Kormaz, T. 2017. Finansal Performansın TOPSIS ve MOORA Yöntemleri İle Belirlenmesi: BIST Enerji Firmaları Üzerine Karşılaştırmalı Bir Uygulama, KSÜ Sosyal bilimler Dergisi, 14(2), 371-394.
- Özdemir, A. İ., Deste, M. (2009). Gri İlişkisel analiz ile çok kriterli tedarikçi seçimi: Otomotiv Sektöründe bir uygulama. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 38(2), 147-156.
Financial Performance Analysis of Enterprises in The Energy Sector with The Entropy Based Aras and GRI Method
Abstract
In the energy sector, which is a high-risk sector, it is important for enterprises to have financially strong infrastructure in order to sustain energy production. The sustainability of the enterprises is ensured by making financial performance measurements in reducing the risks related to the performance of the companies and examining the soundness of their financial infrastructures. In this context, it is aimed to evaluate the financial performance of enterprises in the energy sector with Entropy-based ARAS and GRI methods. In the study, eight enterprises operating in the Borsa İstanbul Electricity, Gas and Steam Sector were selected as a sample and the financial data used within the scope of the evaluation criteria are obtained from the Public Disclosure Platform (KAP) data distribution system. According to the results of ARAS and GRI method, in which the weights obtained by Entropy are used where the criterion weights are determined, Enerjisa Enerji A.Ş. was the company with the highest performance; it is found that the company with the lowest performance is PAMEL Renewable Electricity Generation Inc.
References
- Metin S., Yaman, S. ve Kormaz, T. 2017. Finansal Performansın TOPSIS ve MOORA Yöntemleri İle Belirlenmesi: BIST Enerji Firmaları Üzerine Karşılaştırmalı Bir Uygulama, KSÜ Sosyal bilimler Dergisi, 14(2), 371-394.
- Özdemir, A. İ., Deste, M. (2009). Gri İlişkisel analiz ile çok kriterli tedarikçi seçimi: Otomotiv Sektöründe bir uygulama. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 38(2), 147-156.
Details
| Primary Language | Turkish |
|---|---|
| Journal Section | Research Articles |
| Authors | |
| Publication Date | July 31, 2022 |
| Acceptance Date | July 24, 2022 |
| Published in Issue | Year 2022 Volume: 4 Issue: 3 |
Cite
Cited By
MEREC VE MABAC YÖNTEMLERİ İLE BİST 100’DE İŞLEM GÖREN ENERJİ FİRMALARININ FİNANSAL PERFORMANSLARININ DEĞERLENDİRİLMESİ
Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi
https://doi.org/10.24889/ifede.1340829
BILTÜRK Journal of Economics and Related Studies Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) altında çalışmaktadır.