Author/Authors :
DOĞAN, Nuri Özgür Nevşehir Üniversitesi - İ İ B F - İşletme Bölümü, Turkey , GENCAN, Seda Nevşehir Üniversitesi - Sosyal Bilimler Enstitüsü (S B E ) - İşletme Anabilim Dalı, Turkey
Title Of Article :
PERFORMANCE ASSESSMENT USING DEA/AHP INTEGRATED METHOD: AN APPLICATION ON PUBLIC HOSPITALS IN ANKARA
شماره ركورد :
36332
Abstract :
The aim of this study is to measure the relative efficiency of the public hospitals and to determine the efficient/inefficient hospitals. 26 public hospitals in Ankara were included in this study. 4 inputs the hospitals use and 5 outputs they generate were specified while providing health service and two different DEA models were established using these same inputs and outputs. The first DEA model uses the inputs and outputs without weights and the second DEA model uses the inputs outputs with the weights derived from AHP. Each models were run separately and efficiency measurement was made. As a result of running the first DEA model, 13 hospitals were found to be efficient and this was 10 for the second model. In other words, it was seen that 3 hospitals that were efficient in the first DEA model became inefficient in the second model. In addition, the average efficiency score was 91% in the first state and 86% in the second state. Efficient and inefficient hospitals could use these efficiency scores in their strategic decisions. It is expected that efficient hospitals will maintain their position and inefficent hospitals will take the efficient hospitals in their reference sets as an example to become efficient. It is hoped that the results of this study can be used as leading principles by decision makers of health policy, and by hospital managers and staff. Finally, constraints of this study and the research areas are pointed out for future research on this subject.
From Page :
88
NaturalLanguageKeyword :
Performance Measurement , Efficiency , Public Hospitals , Data Envelopment Analysis , Analytic Hierarchy Process.
JournalTitle :
Journal Of Economics an‎d Administrative Sciences
To Page :
112
Link To Document :
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