Research Information System
Thesis Type: Postgraduate
Institution Of The Thesis: Gazi Üniversitesi, Fen Bilimleri Enstitüsü, Turkey
Approval Date: 2017
Student: BAŞAK APAYDIN AVŞAR
Supervisor: MERAL EBEGİL
Open Archive Collection: AVESIS Open Access Collection
Abstract:Measuring the efficiency of a large number of companies in the manufacturing industry, which has a large precaution in terms of the economy of the country, is very important in terms of developing management strategies for company managements and decision makers. In this study, a multi-period, two-stage DEA model is defined to measure the efficiency of firms in manufacturing industry which is high value added. Unlike the traditional DEA method, firms' financial efficiency and activity efficiency are handled in two sub-processes in two-stage DEA. This method is applied for the first time on the manufacturing industry firms in this thesis. In this study, it was tried to determine the source of inefficiency by dividing into two sub-processes while measuring the general efficiency of the firms. Data of 90 manufacturing industry companies on the Public Disclosure Platform of Turkey (KAP) were used for efficiency measurement for 2013 - 2015 period. Number of employees, total assets and paid-in capital are considered as first stage inputs and revenue and operating expenses are considered as first stage outputs and second stage inputs are. As the second stage outputs, net profit margins, operating profitability, asset profitability and equity profitability were used. In addition, due to the fact that firms have more than one period, Malmquist Index Method was used to examine the efficiency changes of the firms. Finally, a clustering analysis method was conducted using input, process and output variables and the results were compared to the multi-period, two-stage DEA efficiency values.