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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]

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 our world, meeting the consumer wishes and demands puts the prioty on services efficiency in providing the quality of products and services. Services efficiency is one of the most important matters and strategy in automotive sector like all sectors. In this study, automotive sector in Erzurum have been examined and some conclusions have been drawn for companies. In this study, services efficiency in seventeen dealers in automotive sector in Erzurum City Center have been examined by DEA (Data Envelopment Analysis). The performances of dealers in automotive sector is compared with the others and the efficiency rate for each dealers is assessed. Efficiency scores of each dealer are obtained and potential improvements are advised for inefficient dealers. [ABSTRACT FROM AUTHOR]

Effectiveness, efficiency and productivity are the technical performance monitors of corporations. Technical Performance Monitors help mesuring the performence in all aspects. Technical monitors are used in production process, and mesuring the performence of employees. Those factors are more difficult to measure than measuring the financial situation of the firms. Also there can be complexity when trying to understand all the terms. Some terms can mean various or different values. Their meanings can be different. Thus they should be used carefully. In our work, first of all, the meanings of terms are given for ensure that there is no misunderstanding. In the second part, there are numerical analysis and sector search for marble business. [ABSTRACT FROM AUTHOR]

In general, productivity which indicates the relationship between inputs and outputs, expresses the most efficiently usage of these inputs. In recent years, increasing interest on productivity, especially seeks the answer of "which factors affects productivity?". Several studies carried out for this purpose. In this respect, the aim of this study is to bring out the affects of foreign direct investment and trade openness on productivity. The relationship between productivity and trade openness has been investigated by cointegration analysis for 26 observations between 1980 and 2005 in Turkey. And then the relationship between productivity and foreign direct investment has been investigated by the same method. Thus, it is determined that, trade openness expresses %38.7 of the labour productivity and FDI expresses %19.3 of the labour productivity at the end of the twenty years period time. [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]