{"title":"An Application on Efficiency Measures of Businesses with Analytic Network Process and Data Envelopment","authors":"İsmet Merih Kangal, Asli Özdemir","doi":"10.18074/ckuiibfd.927687","DOIUrl":null,"url":null,"abstract":"In this study, the financial efficiency of enterprises registered in the BIST Food, Beverage and Tobacco index was measured using Data Envelopment Analysis and Analytical Network Process Methods. Within the scope of the analysis, 18 enterprises were considered as decision-making units, and efficiency measurements were made on 6 input and 3 output variables. CCR, BCC and Assurance Region models of Data Envelopment Analysis were used in the application phase. Analytical Network Process method was used to obtain the weight constraints required by the Assurance Region model. As a result of the application, it was observed that the lower and upper limits used in the Assurance Region model decreased the number of decision making units (DMU) that were evaluated and hence gave more realistic results by discriminating the efficient and inefficient DMUs.","PeriodicalId":32792,"journal":{"name":"Cukurova Universitesi Iktisadi ve Idari Bilimler Fakultesi Dergisi","volume":"464 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cukurova Universitesi Iktisadi ve Idari Bilimler Fakultesi Dergisi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18074/ckuiibfd.927687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, the financial efficiency of enterprises registered in the BIST Food, Beverage and Tobacco index was measured using Data Envelopment Analysis and Analytical Network Process Methods. Within the scope of the analysis, 18 enterprises were considered as decision-making units, and efficiency measurements were made on 6 input and 3 output variables. CCR, BCC and Assurance Region models of Data Envelopment Analysis were used in the application phase. Analytical Network Process method was used to obtain the weight constraints required by the Assurance Region model. As a result of the application, it was observed that the lower and upper limits used in the Assurance Region model decreased the number of decision making units (DMU) that were evaluated and hence gave more realistic results by discriminating the efficient and inefficient DMUs.