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  Citation Number 2
 Views 73
 Downloands 27
GRİ İLİŞKİSEL ANALİZ VE MULTİ MOORA YÖNTEMLERİ İLE BORSA İSTANBUL’DA İŞLEM GÖREN SAVUNMA SANAYİ SEKTÖRÜNÜN FİNANSAL PERFORMANSININ DEĞERLENDİRİLMESİ
2021
Journal:  
Düzce Üniversitesi Sosyal Bilimler Dergisi
Author:  
Abstract:

Türkiye savunma sanayi, ulusal ve uluslararası alanlarda yaptığı önemli hamlelerle kendisinin üretimini etkileyen direk ve dolaylı alt kuruluşların arzını kabul ederek Türkiye ekonomisine önemli katkılar sunmaktadır. Savunma sektöründeki işletmenin faaliyetlerine devam etmesi için paydaşları tarafından mali durumunun sürekli kontrol edilmesi gerekmektedir. Bu nedenle çalışmada Borsa İstanbul (BIST)’da finansal faaliyetleri gözlemlenen ASELSAN adlı işletmenin son 12 yıllık finansal verileri Kamu Aydınlatma Platformu (KAP)’dan alınarak Çok Kriterli Karar Verme Yöntemleri (ÇKKV) ile değerlendirilmiştir. Çalışmada, 2008-2019 yılları arasında ASELSAN’a ait finansal veriler Gri ilişkisel Analiz ve Multi MOORA yöntemleri ile ayrı ayrı değerlendirilmiş ve Spearman Sıra Korelasyon Analizi uygulandığında ilgili işletmenin finansal oranlar açısından en iyi olduğu yılların sırası ile 2018, 2017 ve 2009 olduğu görülmüştür.

Keywords:

GREY RELATIONAL ANALYSIS AND MULTY MOORA MULTY MOORA MULTY MOORA MULTY MOORA MULTY MOORA MULTY MOORA MULTY MOORA MULTY MOORA MULTY MOORA MULTY MOORA MULTY MOORA
2021
Author:  
Abstract:

Turkey offers significant contributions to the Turkey economy by accepting the supply of direct and indirect sub-organisms that influence its production with its important movements in national and international fields. The financial situation must be continuously controlled by its stakeholders in order for the company in the defense sector to continue its activities. Therefore, the last 12 years of financial data of the company named ASELSAN, which observed financial activities at the Borsa Istanbul (BIST) in the study, were taken from the Public Lighting Platform (KAP) and evaluated with Multi-Critical Decision Methods (CKKV). In the study, the financial data of ASELSAN between the years 2008-2019 were evaluated separately with the Grey Relational Analysis and Multi MOORA methods, and it was found that when the Spearman Order Correlation Analysis was implemented, the relevant business was the best in terms of financial rates in 2018, 2017 and 2009 in a row of years.

Keywords:

0
2021
Author:  
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Düzce Üniversitesi Sosyal Bilimler Dergisi

Field :   Eğitim Bilimleri; Filoloji; Güzel Sanatlar; Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Ulusal

Metrics
Article : 200
Cite : 563
2023 Impact : 0.209
Düzce Üniversitesi Sosyal Bilimler Dergisi