Search

In this study, the efficiency of tea processing factories of General Directorate of Tea Enterprises (Çaykur), which is a Public Economic Enterprise, is investigated using data envelopment analysis (DEA) and data set for the period of 2005-2010. First, efficiency analyses are subjected to the every individual year separately. Then using data set in constant prices, factories' efficiency levels of 2005 and 2010 are compared. Findings show that after 2008, efficiency problems are increased in a numbers of factories and efficiency scores decreased in inefficient factories. Homogeneity with respect to productivity is declined in the same period among the factories. Conclusions of the DEA related to comparison of 2005 and 2010 years prove that productivity problems arise in much more factories and effectiveness scores of those factories worsened. These results indicate that productivity levels of Çaykur tied factories are declined in 2010 compared with 2005 [ABSTRACT FROM AUTHOR]

The fundamental economic goals of the business enterprises, except with social objective ones,, is making profit from their activities, developing, providing continuity and to increase market value. Business enterprises need some performance measurement systems for adapting themselves to increasing competition and changing environmental conditions, taking right results with the right data by making accurate strategies and deciding the stage of the targets which is constructed according to their goals in the application. Because of the changes in the fields of information systems, technology, production management and management systems, necessities for checking over the performance criteria for the business enterprises occurred nowadays. Financial performance measurement systems which were used mostly before become insufficient for specifying the performance criteria for today. In this study, the performance of the cement sector listed in İstanbul Stock Exchange (IMKB) is evaluated in terms of effectiveness and efficiency by the Data Envelopment Analysis (DEA) method. [ABSTRACT FROM AUTHOR]

In this study, the efficiency of Turkish automotive firms in top-500 according to ISO is examined by taking care of the differences in their capital structure. Firms are divided into 4 groups in terms of capital structure. These are public, domestic, foreign, and mixed capital firms. Mixed capital firms also are divided into 2 sub-groups as domestic-weighted owned capital and foreign-weighted owned capital firms. Data Enveleopment Analysis technique (DEA), non-parametric mathematical programming model, is used to compare firm's efficiencies in the study. Input variables of the model are net assets, equity capital, and the number of employee, and output variables are endorsement, profit, and exports. As a result of the study, it is found that only 6 firms work more efficient than the others. In efficient firms, three of them domesticly owned capital firms, two of them foreign owned capital firms and one of them mixed capital firms. Public capital firms are not efficient. [ABSTRACT FROM AUTHOR]