Financial Analysis Of Small, Medium And Large-Scale Companies With The Moora Method

Abstract

The aim of the study is to analyze the financial performances of small, medium and large-scale companies operating in various sectors with the MOORA method. The MOORA method provides reliable information with the characteristics of efficiency in determining the financial performance of the company. According to the MOORA method, large-scale and medium-scale companies are in the top three rankings. This is a sign that large and medium-scale companies operate more effectively than small companies. Large and medium-scale companies approach their real market values more than small-scale companies. This shows that investors have more information about the company

Keywords

• Multi Criteria Decision Making
• MOORA Method
• Small
• Medium and Large-Scale Companies
• Financial Analysis
• Efficient Market Hypothesis

MOORA Yöntemiyle Küçük, Orta Ve Büyük Ölçekli Şirketlerin Finansal Analizi

Abstract

Çalışmanın amacı çeşitli sektörlerde faaliyet gösteren küçük, orta ve büyük ölçekli şirketlerin finansal performanslarının MOORA yöntemiyle analizidir. MOORA yöntemi şirketin finansal performansının belirlenmesi konusunda etkinlik özelliğine sahip güvenilir bilgiler sağlar. MOORA yöntemine göre, en iyi performans gösteren ilk üç sıralamasında büyük ölçekli ve orta ölçekli şirketler yer almaktadır. Bu durum, büyük ve orta ölçekli şirketlerin küçük şirketlere göre daha etkin çalıştığını gösteren bir işarettir. Büyük ve orta ölçekli şirketler küçük ölçekli şirketlere göre gerçek piyasa değerlerine daha fazla yaklaşmaktadırlar. Bu durum, yatırımcıların şirket hakkında daha fazla bilgiye sahip olduğunu gösterir. Abstract The aim of the study is to analyze the financial performances of small, medium and large companies operating in various sectors using the MOORA method. Financial analysis provides important information about the company's liquidity, long-term solvency and determination of its healthy financial structure. In this framework, financial analysis is the evaluation of the data produced by the accounting information system. As a result of the evaluation, the decision-making process starts by the company and its stakeholders. The objectivity and correctness of the decision positively affect the performance of the company. The MOORA method is recommended for analyzing the financial performance of companies. According to the results, it is seen that large and medium sized companies have better performance. When this situation is associated with the efficient market hypothesis, it shows that large and medium-sized companies operate more effectively than small companies.

Keywords

• Çok Kriterli Karar Verme
• MOORA Yöntemi
• Küçük
• Orta ve Büyük Ölçekli Şirketler
• Finansal Analiz
• Etkin Piyasa Hipotezi

References

1. Achebo, J., ve Odinikuku, W. E. (2015). Optimization of gas metal arc welding process parameters using standard deviation (SDV) and multi-objective optimization on the basis of ratio analysis (MOORA). Journal of Minerals and Materials Characterization and Engineering, 3(04), 298.
2. Alnıpak, S., ve Yorulmaz, M. (2019). Tersane Yöneticilerinin Bakış Açısından Bütünleştirilmiş Ahs-Topsıs Ve Ahs-Moora Yöntemleri İle Tersane Kuruluş Yeri Seçimi: Akdeniz Bölgesi Örneği. Beykoz Akademi Dergisi, 7(2), 106-125.
3. Arabsheybani, A., Paydar, M. M., ve Safaei, A. S. (2018). An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier's risk. Journal of cleaner production, 190, 577-591.
4. Brauers, W. K. M. (2008). Multi-objective contractor’s ranking by applying the MOORA method. Journal of Business Economics and management, (4), 245-255.
5. Brauers, W. K. M., Ginevičius, R., ve Podvezko, V. (2010). Regional development in Lithuania considering multiple objectives by the MOORA method. Technological and Economic Development of Economy, 16(4), 613-640.
6. Brauers, W. K. M., Zavadskas, E. K., Peldschus, F., ve Turskis, Z. (2008). Multi-objective optimization of road design alternatives with an application of the MOORA method.
7. Brauers, W. K., ve Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and cybernetics, 35, 445-469.
8. Brauers, W. K., ve Zavadskas, E. K. (2009). Robustness of the multi‐objective MOORA method with a test for the facilities sector. Technological and economic development of economy, 15(2), 352-375.

9. Chawla, S., Agrawal, S., ve Singari, R. M. (2019). Integrated Topsis-Moora Model for Prioritization of New Bike Selection. In Advances in Engineering Design (pp. 755-765). Springer, Singapore.
10. Dey, B., Bairagi, B., Sarkar, B., ve Sanyal, S. (2012). A MOORA based fuzzy multi-criteria decision making approach for supply chain strategy selection. International Journal of Industrial Engineering Computations, 3(4), 649-662.
11. Dincer, H. (2015). Profit-based stock selection approach in banking sector using Fuzzy AHP and MOORA method. Global Business and Economics Research Journal, 4(2), 1-26.
12. Fadli, S., ve Imtihan, K. (2019). Implementation of MOORA Method in Evaluating Work Performance of Honorary Teachers. SinkrOn, 4(1), 128-135.
13. Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The journal of Finance, 25(2), 383-417.
14. Gadakh, V. S. (2010). Application of MOORA method for parametric optimization of milling process. International Journal of Applied Engineering Research, 1(4), 743.
15. Gadakh, V. S., Shinde, V. B., ve Khemnar, N. S. (2013). Optimization of welding process parameters using MOORA method. The International Journal of Advanced Manufacturing Technology, 69(9-12), 2031-2039.
16. Genc, E. G., ve Basar, O. D. (2019). Comparison of country ratings of credit rating agencies with moora method. Business and Economics Research Journal, 10(2), 391-404.
17. Gorener, A., Dinçer, H., ve Hacioglu, U. (2013). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for bank branch location selection. International Journal of Finance ve Banking Studies (2147-4486), 2(2), 41-52.
18. Hamzaçebi, C., İmamoğlu, G., ve Ahmet, A. L. Ç. I. (2016). Selection of logistics center location with MOORA method for Black Sea Region of Turkey. Journal of Economics Bibliography, 3(1S), 74-82.
19. Hieu, T. T., ve Thao, N. X. (2019). Fuzzy entropy based MOORA model for selecting material for mushroom in Vietnam. I.J. Information Engineering and Electronic Busines, 5, 1-10.
20. Jayant, A., Chandan, A. K., ve Singh, S. (2019). Sustainable supplier selection for battery manufacturing industry: A MOORA and WASPAS Based Approach. In Journal of Physics: Conference Series (Vol. 1240, No. 1, p. 012015). IOP Publishing.
21. Kalibatas, D., ve Turskis, Z. (2008). Multicriteria evaluation of inner climate by using MOORA method. Information technology and control, 37(1).
22. Karakaş, S., ve Kırmızı, M. (2019). Multı-Purpose Tugboat/Aht Selectıon For Northern Caspıan Sea Wıth Topsıs And Moora Methods. Journal Of Naval Sciences And Engineering, 15(1), 21-38.
23. Karande, P., ve Chakraborty, S. (2012). A Fuzzy-MOORA approach for ERP system selection. Decision Science Letters, 1(1), 11-21.
24. Karande, P., ve Chakraborty, S. (2012). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials ve Design, 37, 317-324.
25. Kaşak, A. E., ve Erdal, M. (2019). Moora Çok Kriterli Karar Verme Yöntemi ile Ceza İnfaz Kurumu Yer Seçimi: Sivas İli Örneği. Bayburt Üniversitesi Fen Bilimleri Dergisi, 2(1), 34-42.
26. Khan, A., Maity, K., ve Jhodkar, D. (2020). An integrated fuzzy-MOORA method for the selection of optimal parametric combination in turing of commercially pure titanium. In Optimization of Manufacturing Processes (pp. 163-184). Springer, Cham.
27. Kundakçı, N. (2016). Combined multi-criteria decision making approach based on MACBETH and MULTI-MOORA methods. Alphanumeric Journal, 4(1), 17-26.
28. Mandal, U. K., ve Sarkar, B. (2012). Selection of best intelligent manufacturing system (ims) under fuzzy moora conflicting mcdm environment. International Journal of Emerging Technology and Advanced Engineering, 2(9), 301-310.
29. Ozcelik, G., Aydogan, E. K., ve Gencer, C. (2014). A hybrid moora-fuzzy algorithm for special education and rehabilitation center selection. Journal of Management and Information Science, 2(3), 53-61.
30. Ömürbek, N., ve Hande, E (2016). Promethee, MOORA ve COPRAS yöntemleri ile oran analizi sonuçlarının değerlendirilmesi: Bir uygulama: An application. Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 8(16), 174-187.
31. Önay, O. (2018). MOORA. (Ed. Bahadır F. Yıldırım ve Emrah Önder), Operasyonel, Yönetsel ve Stratejik Problemlerin Çözümünde Çok Kriterli Karar Verme Yöntemleri. 245-253. Dora Yayıncılık, 3. Baskı. Bursa
32. Özçelik, T. O., ve Eryılmaz, S. A. (2019). Traktör İmalatında Çok Kriterli Karar Verme Yöntemleri ile Tedarikçi Seçimi. Avrupa Bilim ve Teknoloji Dergisi, 498-512.
33. Pérez-Domínguez, L., Rodríguez-Picón, L. A., Alvarado-Iniesta, A., Luviano Cruz, D., ve Xu, Z. (2018). MOORA under Pythagorean fuzzy set for multiple criteria decision making. Complexity, 2018.
34. Sarıoğlan, M., ve Arslan, K. (2020). Yiyecek İçecek İşletmelerinde Moora Yöntemi İle Tedarikçi Seçiminin Uygulanabilirliği. Electronic Journal of Social Sciences, 19(73).
35. Shihab, S., Khan, N., Myla, P., Upadhyay, S., Khan, Z., ve Siddiquee, A. (2018). Application of MOORA method for multi optimization of GMAW process parameters in stain-less steel cladding. Management Science Letters, 8(4), 241-246.
36. Siddiqui, Z., ve Tyagi, K. (2016). Application of fuzzy-MOORA method: ranking of components for reliability estimation of component-based software systems. Decision Science Letters, 5(1), 169-188.
37. Stanujkic, D. (2013). An extension of the MOORA method for solving fuzzy decision making problems. Technological and Economic Development of Economy, 19(sup1), S228-S255.
38. Stanujkic, D. (2016). An extension of the ratio system approach of MOORA method for group decision-making based on interval-valued triangular fuzzy numbers. Technological and Economic Development of Economy, 22(1), 122-141.
39. Stanujkic, D., Magdalinovic, N., Jovanovic, R., ve Stojanovic, S. (2012). An objective multi-criteria approach to optimization using MOORA method and interval grey numbers. Technological and Economic Development of Economy, 18(2), 331-363.
40. Stanujkic, D., Magdalinovic, N., Milanovic, D., Magdalinovic, S., ve Popovic, G. (2014). An efficient and simple multiple criteria model for a grinding circuit selection based on MOORA method. Informatica, 25(1), 73-93.
41. Stanujkic, D., Magdalinovic, N., Stojanovic, S., ve Jovanovic, R. (2012). Extension of ratio system part of MOORA method for solving decision-making problems with interval data. Informatica, 23(1), 141-154.
42. Sutarno, S., Mesran, M., Supriyanto, S., Yuliana, Y., ve Dewi, A. (2019). Implementation of Multi-Objective Optimazation on the Base of Ratio Analysis (MOORA) in Improving Support for Decision on Sales Location Determination. In Journal of Physics: Conference Series (Vol. 1424, No. 1, p. 012019). IOP Publishing.
43. Tepe, S., ve Görener, A. (2014). Analitik hiyerarşi süreci ve moora yöntemlerinin personel seçiminde uygulanması. İTÜ Fen Bilimleri Dergisi, 13(25), s. 1-14.