The goal of the present research is to identify appropriate methods for developing a study among students who attend educational department for different universities located in city of Tehran, Iran. We study different factors influencing students on development of methods for their studies. The primary method of research is questionnaire and its reliability identified by use of Cronbach & apos; s alpha, calculated as 0.905 and its validity defined by content method. To analyze information we use deductive statistical, t-student and ANOVA tests using SPSS 19 software. Results show that management and education of school based on development of methods for study and research is not function of gender, the education of level, and their field of study and it only follows their place of service. The results also indicate that student & apos; s conditions of study about their course are proper while their condition about the pleasure study and research is not favorable.

Ranking industry normally helps find hot sectors and attract potential investors to invest in appropriate plans. Ranking various industries is also a multiple criteria decision making problem. In this paper, we present an empirical investigation to rank different industries using the art of data envelopment analysis (DEA). The inputs of our proposed DEA model include capital, employment and importance coefficient and outputs are exports, ecological effects and added value. In addition, exports, value added and environmental investment are used as outputs of DEA method. Since the results of DEA may consider more than one efficient unit, so we implement Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique to rank efficient units. In our case study, there were 15 different sectors from various industries and the implementation of DEA technique recommends 8 efficient units. The implementation of TOPSIS among these efficient units has suggested that Chemical industry could be considered as the most attracting industry for investment.

Measuring organization performance plays an important role for developing better strategic plans. In today & apos; s competitive environment, organizations attempt for the product quality or offering the service, delivery, reliability capability and the customer satisfaction. These properties are not measurable only by traditional financial criteria and we need a method, which could consider non-financial factors as well. The present study of this paper proposed a hybrid of balanced score card (BSC) and data envelopment analysis (DEA) method for an empirical study of banking sector. The study proposes a model for assessing the Tose`eTa`avon bank performance, which is an example of governmental credit and financial services institutes. The study determines different important factors associated with each four components of BSC and uses analytical hierarchy process to rank the measures. In each part of BSC implementation, we use DEA for ranking different units of bank and efficient and inefficient units are determined.

Today, with ever-increasing competition in global economic conditions, the necessity of effective implementation of strategy map has become an inevitable and necessary. The strategy map represents a general and structured framework for strategic objectives and plays an important role in forming competitive advantages for organizations. It is important to find important factors influencing strategy map and prioritize them based on suitable factors. In this paper, we propose an integration of BSC and Fuzzy DEMATEL technique to rank different items influencing strategy of a production plan. The proposed technique is implemented for real-world case study of glass production.

The present research purpose is applying a compose method from DEA and AHP for removing this technique deficiency on assessing. For this reason, a compose method on basis of unsubjective double comparisons matrix has been used. At research process, after specifying the input and output variables and also a proper model for DEA, computational research method are dismounted at two stages: At the first stage, DEA model, is dismounted for two-by –two of items (branches), regardless to other items. At the second stage, double items comparisons matrix is provided from first stage results, that is performed total rating by resolving a unit – level AHP model. For this purpose, for dismounting this technique, we have attempted to assess rivet producer units efficiency, at one of the greatest industrial units in Iran. Results indicate unit number 3 with efficiency amount 0.12622 has allocated the highest rate to own and unit number 1 and 2 with efficiency 0.12404 has allocated the least rates to own.

In this paper, we propose a method to measure the relative efficiency of different units of a publicly traded bank using data envelopment analysis. The study also measures the productivity of different banks using Malmquist index and the results are compared with relative efficiency of banks. The proposed model uses nine financial factors reported by the bank officials for both studies where five items are used for efficiency measurement and the other four items are used for productivity measurement. The results indicate that different banks perform inefficient in terms of efficiency but they have attempted to increase their productivity. We also analyze the results and give guidelines on how inefficient units could increase their efficiency by reducing their inputs or increasing their outputs