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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]

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]