Yazılım Firmalarının Finansal Performanslarının Gri İlişkisel Analiz Yöntemi Kullanılarak Değerlendirilmesi

Year 2025, Volume: 9 Issue: 17, 1 - 12, 28.02.2025

Mehmet Fatih Burak

https://doi.org/10.29064/ijma.1636032

Abstract

Yazılım sektörü birçok sektörde yaygın olarak varlığını sürdüren ve gelecekte birçok sektörde etki ve kapsam düzeyini artırması beklenen önemli sektörlerden biridir. Bu çalışmada, literatürde daha önce incelenmemiş bir kapsamda yazılım firmalarının finansal performanslarını değerlendirmek amacıyla Gri İlişkisel Analiz (GİA) yöntemi kullanılmıştır. Bu amaçla, analize dahil edilen yüksek piyasa değerine sahip beş yazılım firması için çalışma kapsamına alınan finansal oranlar üzerinde GİA analizi gerçekleştirilmiştir. Analiz sonuçlarına göre, Firma 1 2023 (n=0,8099), 2022 (n=0,8173) ve 2021 (n=0,7326) yıllarında en yüksek gri ilişkisel notla ilk sırada yer alırken, Firma 5 2024 (n=0,7834) yılında en yüksek gri ilişkisel notla ilk sırada yer almıştır. Bu çalışmanın araştırmacılara ve uygulayıcılara yararlı bilgiler sağlayabileceği düşünülmektedir.

Keywords

Yazılım, Gri İlişkisel Analiz, MCDM, Finansal Performans

Evaluation of Financial Performance of Software Firms Using Grey Relational Analysis Method

Abstract

The software sector is one of the important sectors that has been widely present in many sectors and is expected to increase its level of influence and scope in many sectors in the future. In this study, the Grey Relational Analysis (GRA) method was used to evaluate the financial performance of software firms in a scope that has not been previously examined in the literature. For this purpose, GRA analysis was performed on the financial ratios included in the scope of the study for five software firms with high market capitalization included in the analysis. According to the analysis results, Firm 1 ranked first with the highest grey relational grade in 2023 (n=0.8099), 2022 (n=0.8173) and 2021 (n=0.7326), while Firm 5 ranked first with the highest grey relational grade in 2024 (n=0.7834). It is thought that this study can provide useful information to researchers and practitioners.

Keywords

Software, Grey Relational Analysis, MCDM, Financial Performance

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