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   use of partial least squares - structural equation modeling for identifying the most important variables via application of data envelopment analysis  
   
نویسنده sadidi mehdi ,khalilifar omid ,amiri maghsoud ,moradi rouhalah
منبع journal of archives in military medicine - 2018 - دوره : 6 - شماره : 1 - صفحه:1 -9
چکیده    background: since the introduction of data envelopment analysis (dea) in 1978, this method has become one of the best performance evaluation tools. use of dea has many advantages, as it can accommodate multiple inputs and outputs. however, there are some constraints concerning the number of variables. for instance, selective variables are commonly used to evaluate the performance of hospitals, based on the researcher’s personal preferences. objectives: in application of traditional dea models in hospital comparisons, variables are always selected based on the analyst’s opinion regarding the significance or availability of data. on the other hand, there is a need to reduce the dimensions of variables. the main goal of this study was to reduce the number of input and output variables in the evaluation of military hospitals of iran. methods: in this study, the delphi technique was applied, as well as partial least squares - structural equation modeling (pls - sem) method. results: acceptable goodness of fit was established for validity of the measurement model. the test of validity was accepted for the structural model in this study. conclusions: in the first step, the number of variables was reduced to 29, using the delphi technique. in the second step, using sem - pls, the number of variables was reduced to half.
کلیدواژه delphi technique ,structural equation modeling ,data envelopment analysis (dea)
آدرس allameh tabataba’i university, department of accounting, iran, iman reza hospital, technical department, iran, allameh tabataba’i university,, department of industrial management, iran, allameh tabataba’i university, iran
پست الکترونیکی rrmoradi@gmail.com
 
 

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