Detection Efficient Enterprises via Data Envelopment Analysis
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Detection Efficient Enterprises via Data Envelopment Analysis

Authors: S. Turkan

Abstract:

In this paper, the Turkey’s Top 500 Industrial Enterprises data in 2014 were analyzed by data envelopment analysis. Data envelopment analysis is used to detect efficient decision-making units such as universities, hospitals, schools etc. by using inputs and outputs. The decision-making units in this study are enterprises. To detect efficient enterprises, some financial ratios are determined as inputs and outputs. For this reason, financial indicators related to productivity of enterprises are considered. The efficient foreign weighted owned capital enterprises are detected via super efficiency model. According to the results, it is said that Mercedes-Benz is the most efficient foreign weighted owned capital enterprise in Turkey.

Keywords: Data envelopment analysis, super efficiency, financial ratios, BCC model.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1128213

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 879

References:


[1] Erdogan, A. I. (2013). Applying factor analysis on the financial ratios of Turkey's top 500 industrial enterprises. International Journal of Business and Management, 8(9).
[2] Özdemir, A. D., Düzgün, R. Türkiye’deki otomobil firmalarının sermaye yapısına göre etkinlik analizi, Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 23(1).
[3] Tezcan, N. (2010). Verimliliği etkileyen faktörlerin analizi: Türkiye'nin 500 büyük sanayi kuruluşu üzerinde bir uygulama. Verimlilik Dergisi, 2010(3), 7-19.
[4] Düzgün, R., & Taşçı, H. M. Türk İşletmelerinin İhracat Performansını Belirleyen Faktörler: İSO-500 Üzerine Bir Uygulama.
[5] Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253-290.
[6] Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
[7] Chen, Y. and Lin, C., 2007, "Empirical study on the efficiency analysis of Australian banks", Banks and Bank Systems, Vol. 2 No. 4, pp. 38-49.
[8] Kumar, S., Gulati, R., 2008, “An Examination of Technical, Pure Technical, and Scale Efficiencies in Indian Public Sector Banks using Data Envelopment Analysis”, Eurasian Journal of Business and Economics, 1 (2), 33-69.
[9] Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.
[10] Ciftci, H., 2004, “Türk Sigorta Sektörünün Sorunları; DEA Analizi ile Türk Sigorta Şirketlerinin Etkinlik Düzeylerinin Belirlenmesi”, Çukurova Üniversitesi, SBE Dergisi, Cilt 3, Sayı 1, 121-149.
[11] Yen, F. L., Othman, M., 2011, “Data Envelopment Analysis to Measure Efficiency of Hotels in Malaysia”, SEGi Review ISSN 1985-5672, Vol. 4, No. 1, 25-36
[12] Chen Y. C., Chiu Y. H., Huang C. W., 2010, Measuring super-efficiency of financial and nonfinancial holding companies in Taiwan: An application of DEA models, African Journal of Business Management, 4(13), 3122-3133.
[13] http://www.iso.org.tr/news/ici-announced-the-icis-turkeys-top-500-industrial-enterprises-2014-survey-results/ Accessed on 11/09/2016.