Journals / Bartın Orman Fakültesi Dergisi / 2019 / Cilt: 21 - Sayı: 1

The Comparison of Financial Performance of the Forest Products Enterprises Using the Entropy-Based TOPSIS Method: A Case of Artvin

Orman Ürünleri İşletmelerinin Finansal Performanslarının Entropi Temelli TOPSIS Yöntemi ile Karşılaştırılması: Artvin Örneği

Pages
136–146
Publication Date
2019-04-15
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In terms of weights of the criteria, it was found that the criteria of the equity turnover rate for 2014, 2015 and 2017 and the acid-test rate for 2016 are more important.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the financial performances of forest products enterprises operating in Artvin province were evaluated and compared using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method.
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Key Findings & Data:Six enterprises were included in the scope of this study and the data in 2014-2017 were used to determine their financial performance.
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Conclusion & Impact:In terms of weights of the criteria, it was found that the criteria of the equity turnover rate for 2014, 2015 and 2017 and the acid-test rate for 2016 are more important.
🔬Design:Research Article
📍Scope:2014-2017 Verileri
⚙️Variables:Forest products · financial performance · entropy

Abstract

In this study, the financial performances of forest products enterprises operating in Artvin province were evaluated and compared using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Six enterprises were included in the scope of this study and the data in 2014-2017 were used to determine their financial performance. In this paper were used 11 financial ratios obtained from the balance sheet and income statements. First, the weights of the criteria were determined by using the entropy method and then, the performances of the enterprises were ranked by TOPSIS method. In terms of weights of the criteria, it was found that the criteria of the equity turnover rate for 2014, 2015 and 2017 and the acid-test rate for 2016 are more important. When we evaluate the financial performances of the enterprises, it was found that the “E” enterprise has the best financial performance and the enterprises, which have the worst performance, varied from year to year.

Özet

Bu çalışmada, Artvin ilinde faaliyet gösteren orman ürünleri işletmelerinin finansal performansları TOPSIS yöntemi kullanılarak değerlendirilmiş ve karşılaştırılmıştır. Bu çalışma kapsamına 6 adet işletme alınmıştır ve finansal performanslarının belirlenmesi için 2014-2017 yıllarına ait veriler kullanılmıştır. Çalışmada 11 adet finansal oran (kriter) kullanılmış olup, bu kriterler mali tablolar yardımıyla hesaplanmıştır. İlk olarak Entropi yöntemi kullanılarak kriterlerin ağırlıkları belirlenmiş ve daha sonra Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) yöntemi ile işletmelerin performansları sıralanmıştır. Kriterlerin ağırlıkları bakımından 2014, 2015 ve 2017 yılları için özkaynak devir hızı kriterinin ve 2016 yılı için asit-test oranı kriterinin daha önemli olduğu bulunmuştur. İşletmelerin finansal performansları değerlendirildiğinde ise genel olarak “E” işletmesinin en iyi finansal performans sergilediği, en kötü finansal performans sergileyen işletmelerin yıllara göre farklılık gösterdiği bulunmuştur.

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Cite This Article

AKYÜZ, İ., AYDEMİR, B., BAYRAM, B. Ç., AKYÜZ, K. C. (2019). The Comparison of Financial Performance of the Forest Products Enterprises Using the Entropy-Based TOPSIS Method: A Case of Artvin. Bartın Orman Fakültesi Dergisi, Cilt: 21 - Sayı: 1, 136–146. https://ajindex.com/articles/109856

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References (13)

  1. Athawale VM, Chakraborty S (2010). A TOPSIS Method-Based Approach to Machine Tool Selection, Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management Dhaka, Bangladesh. Akyüz KC (2006). Competition of Forest Products Industry during to European Union Membership. ZKÜ Bartın Journal of Faculty of Forest, 8/9: 83-94.
  2. Akyüz KC, Ersen N, Akyüz İ (2017). Borsa İstanbul’da Faaliyet Gösteren Kağıt ve Kağıt Ürünleri Sanayi Sektörü Firmalarının Performanslarının Gri İlişkisel Analiz Yöntemiyle Değerlendirilmesi. Akademik Sosyal Araştırmalar Dergisi, 51: 139-151.
  3. Bulgurcu B (2013). Financial Performance Ranking of The Automotive Industry Firms in Turkey: Evidence From an Entropy-Weighted Technique. International Journal of Economics and Financial Issues, 3(4): 844-851.
  4. Cantürk ŞF (2018).
  5. Furniture, Paper and Forest Products Sector: Export Figures Appraisal. (http://www.akib.org.tr/files/downloads/ArastirmaRaporlari/Agac/ocak-2018.PDF, Access date: 04/04/2018).
  6. Chen J, Zihang Y, Chen Z, Nie Z (2015). Improving Assessment of Groundwater Sustainability with Analytic Hierarchy Process and Information Entropy Method: A Case Study of The Hohhot Plain, China. Environ Earth Sci, 73: 2353-2363.
  7. Dai L, Wang J (2011). Evaluation of The Profitability of Power Listed Companies Based on Entropy Improved TOPSIS Method. Procedia Engineering. 15: 4728 – 4732. Deng H, Yeh CH, Willis RJ (2000). Inter-Company Comparison Using Modified TOPSIS with Objective Weights. Computers & Operations Research, 27(10): 963-973.
  8. Dumanoğlu S. (2010). İMKB’de İşlem Gören Çimento Şirketlerinin Mali Performansının TOPSIS Yöntemi ile Değerlendirilmesi. Marmara Üniversitesi İ.İ.B.F. Dergisi, XXIX(II): 323-339.
  9. Ersen N, Akyüz İ, Bayram BÇ, Akyüz KC, Üçüncü T. (2018). Measurement of Financial Performance of Forest Products Industry: MULTIMOORA Method, II. Uluslararası Multidisipliner Çalışmaları Kongresi, 281-301,
  10. Adana. Feng CM, Wang RT (2000). Performance Evaluation For Airlines Including The Consideration of Financial Ratios. Journal of Air Transport Management, 6(3): 133-142.
  11. Huang J (2008). Combining Entropy Weight and TOPSIS Method For Information System Selection, Proceedings of the IEEE International Conference on Automation and Logistics Qingdao, 1965-1968,
  12. China. Hwang CL, Lai YJ, Liu TY (1993). A New Approach For Multiple Objective Decision Making. Computers and Operational Research, 20: 889–899.
  13. Hwang CL, Yoon K (1981). Multiple Attribute Decision Making