Author/Authors
ÖZER, Ali Atatürk Üniversitesi - Hınıs MYO, Turkey , ÖZTÜRK, Meryem Atatürk Üniversitesi - İktisadi ve İdari Bilimler Fakültesi, Turkey , KAYA, Abdulkadir Atatürk Üniversitesi - Pasinler MYO, Turkey
Title Of Article
Using DEA, Cluster and TOPSIS in Measuring Businesses Efficiency and Performance: An Application on ISE Businesses
شماره ركورد
42964
Abstract
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.
From Page
233
NaturalLanguageKeyword
Efficiency , Data Envolepment Analysis , Cluster Analysis , TOPSIS , Food and Drink Sector
JournalTitle
Journal Of Graduate School Of Social Sciences
To Page
260
JournalTitle
Journal Of Graduate School Of Social Sciences
Link To Document