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Insurance awareness for different insurance branches in the insurance sector in Turkey is increasing day by day, and the number of policies produced in the sector is increasing day by day. In this context, with the aim of evaluating the insurance indicators that increase in quality in terms of quantity and revealing a performance table for the sector, in the study, a list of the top 14 companies in the market share ranking according to the total premium production in the insurance sector, based on some indicators selected between 2016-2019 activity analysis was carried out. Data envelopment analysis was used as the analysis method. As a result of the study, it has been observed from the analysis results that although the efficiency levels of the companies, which are in the top ranks according to the total premium production in the years examined, are generally at good levels, in some years, the opposite process has also been experienced. Accordingly, companies should increase their profitability and premium production by using their employment numbers and insurance policy numbers more efficiently. [ABSTRACT FROM AUTHOR]

Today globalization, technological developments and mass competition forced businesses use their resources efficiently, evaluate relatively performance with their competitor and determine businesses for benchmarking. In this study, it is tried to examine whether 24 businesses which traded in Istanbul Stock Exchange in food and drink sector are efficient. For this aim, businesses efficiency is measured by Data Envelopment Analysis (DEA). Also, similar businesses are clustered by cluster analysis and business efficiencies are ranged by TOPSIS analysis and methods are compared. According to the result of DEA, 14 businesses in 2007 and 11 businesses in 2008 are found to be efficient. As a result of the study, it is observed that the methods we used produced contradictory results. Although some businesses found to be efficient in DEA method, these businesses could not show a good performance in TOPSIS analysis. Also, some efficient businesses are in different clusters in Cluster Analysis. [ABSTRACT FROM AUTHOR]

This study has been performed to find out the efficiency of cottage hospitales in the city center of Konya. Data has been obtained from Konya Health Diractorate Province of statistics 2007. Efficency evaluation has been done by means of Data Envelopement Analaysis (DEA). Input variables of DEA models are the numbers of general practitioner, nurses and midwifery, as for that, output variables of DEA models are the numbers of vaccination-injection, consulitation and midwifery home visites. At the end of this research, the average efficiency level of cottage hospitals is measured 83.77 %. [ABSTRACT FROM AUTHOR]

The purpose of the study is to compare performance efficiency of businesses listed in the sector of Fabricated Metal Products, Machinery and Equipment on Istanbul Stock Exchange (ISE) by using Data Envelopment Analysis. Data Envelopment Analysis is a method that is used to determine to effective and ineffective units, performing in same subject and using similar inputs and outputs. As a result of the analysis, it is found that 5 businesses are efficient in 4 periods of 2008. In addition to that, the potential recovery rates are calculated for the inefficient manufacturing businesses and made some recommendations how they might perform better. [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]

The aim of this study is to measure and evaluate the efficiencies of ship building and maintenance shops performing under one of the Turkish Navy Shipyards. As a result of 6-months-period comparative shop performance evaluations, the study puts forward (1) the comparative efficiency ratings of each job shop, (2) the level of required modifications to the particular input and output values for making inefficient shops more efficient, and (3) the factors that could affect the efficiency scores. Based on the results obtained from the correlation and regression analyses, it is observed that the most important factors influencing the efficiency of job shops are the quantities of lost workforce and unidentified jobs. [ABSTRACT FROM AUTHOR]