Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector with Multi-Criteria Decision-Making Techniques

This study calculates the profitability, growth rates, and financial performance of BIST Transport and Storage Sector enterprises between 2013 and 2022, using financial statement values obtained from the Public Disclosure Platform (KAP). In this context, the importance of the criteria was determined by the Entropy method, using eight evaluation criteria, and then both individual and sectoral financial performance scores of the companies were determined using MAIRCA (Multi Attributive Ideal-Real Comparative Analysis) and MABAC (Multi-Attributive Border Approximation Area Comparison) methods. The findings showed that the companies' profit-loss status was affected by the increase or decrease in their assets, equity, sales and other items in both individual and sectoral financial success rankings, and the particular situation notifications of the companies were also effective.

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Publication Details

Journal
Sosyoekonomi
Published
2025-04-24
DOI
https://doi.org/10.17233/sosyoekonomi.2025.02.07
Citations
1
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
2.11
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article

Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector with Multi-Criteria Decision-Making Techniques

Azize Kahramani Koç, Seyhan ÖZTÜRK
1 citations
Sosyoekonomi
Efficiency Analysis Using DEA
2.11
article

Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector with Multi-Criteria Decision-Making Techniques

Azize Kahramani Koç, Seyhan ÖZTÜRK
article en
1 citations

Abstract

This study calculates the profitability, growth rates, and financial performance of BIST Transport and Storage Sector enterprises between 2013 and 2022, using financial statement values obtained from the Public Disclosure Platform (KAP). In this context, the importance of the criteria was determined by the Entropy method, using eight evaluation criteria, and then both individual and sectoral financial performance scores of the companies were determined using MAIRCA (Multi Attributive Ideal-Real Comparative Analysis) and MABAC (Multi-Attributive Border Approximation Area Comparison) methods. The findings showed that the companies' profit-loss status was affected by the increase or decrease in their assets, equity, sales and other items in both individual and sectoral financial success rankings, and the particular situation notifications of the companies were also effective.

SosyoekonomiVol. 33(64)
Kafkas University (TR)
Openalex Percentile: Top 14%
Efficiency Analysis Using DEA
2.11
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