Determination of Financial Performance in Electric Power Enterprises with Entropy Weighted WASPAS Analysis Method

In this study, Entropy weighted WASPAS method is applied to measure the financial performance of 11 electric power enterprises operating in Borsa Istanbul (BIST) for the period of 2022. 7 financial ratios for the year 2022 were accepted as criteria and the financial success ranking of 11 electric power enterprises was made. The financial ratios used in the study were selected among the ratios that can provide information about the liquidity and profitability status of the enterprises. In the first stage of the application, Entropy method was used to determine the criteria weights. The determined criteria weights were prioritized and used in the WASPAS (Weighted Aggregated Sum Product Assessment) method. Then, the financial performance of electric energy enterprises was ranked by making an evaluation with the WASPAS method.

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Publication Details

Journal
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi
Published
2024-10-03
DOI
https://doi.org/10.21605/cukurovaumfd.1560478
Citations
2
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.98
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article

Determination of Financial Performance in Electric Power Enterprises with Entropy Weighted WASPAS Analysis Method

Zahide Figen Antmen, Ayşe Kökyıldırım
2 citations
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi
Multi-Criteria Decision Making
0.98
article

Determination of Financial Performance in Electric Power Enterprises with Entropy Weighted WASPAS Analysis Method

Zahide Figen Antmen, Ayşe Kökyıldırım
article en
2 citations

Abstract

In this study, Entropy weighted WASPAS method is applied to measure the financial performance of 11 electric power enterprises operating in Borsa Istanbul (BIST) for the period of 2022. 7 financial ratios for the year 2022 were accepted as criteria and the financial success ranking of 11 electric power enterprises was made. The financial ratios used in the study were selected among the ratios that can provide information about the liquidity and profitability status of the enterprises. In the first stage of the application, Entropy method was used to determine the criteria weights. The determined criteria weights were prioritized and used in the WASPAS (Weighted Aggregated Sum Product Assessment) method. Then, the financial performance of electric energy enterprises was ranked by making an evaluation with the WASPAS method.

Çukurova Üniversitesi Mühendislik Fakültesi DergisiVol. 39(3)
Cukurova University (TR)
Openalex Percentile: Top 21%
Multi-Criteria Decision Making
0.98
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