Abstract Banks, as key participants in the financial market, play a crucial role in expediting production processes and driving economic growth. They achieve this by gathering savings and idle liquidity, and channeling these resources into vital economic sectors. Enhancing efficiency and performance is a primary management objective for these institutions, as it leads to improved productivity. However, given the multitude of indicators and criteria used to assess efficiency, it is essential to identify and employ appropriate indicators based on specific guidelines. This study adopts an analytical-descriptive approach, collecting data from 2014 to 2019 through documentary research and surveys. The goal is to identify the influential indicators for evaluating the efficiency of commercial banks in Iran, as determined by a panel of experts. These indicators are then prioritized using factor analysis and the Fuzzy Delphi method. The findings reveal the existence of 19 key factors that determine bank efficiency, categorized into 7 main groups. These factors encompass financial, human, environmental and geographical, structural and organizational, physical, technical, and financial ratios. Together, they account for 62.45% of the total variance and serve as the most significant inputs and outputs that explain and determine the efficiency of commercial banks in Iran.

Abstract One of the main problems in small and medium sized (SME) industries is a few research in sustainable development scope. One of the most important reasons for lack attention to this issue is the lack of a comprehensive model for evaluating sustainable development performance. So, the current study tried to identify the factors affecting the performance of sustainable development in nine different SMEs in Yazd province. Then we tried to determine the appropriate indicators for each industry in order to introduce a comprehensive performance evaluation model. Finally, we prioritized and evaluated these factors in each industry. To do so, a mixed method of average data, Principal Component Analysis(PCA) and Random Forest (RF) is used. Also, the obtained data were analyzed using R software. The result demonstrated the important factors in evaluating the performance of sustainable development in each industry. The findings introduced the most effective factors of the performance evaluation in the chosen SMEs in Yazd province. Also, the results shown the importance of the factors in each SME.

Abstract Measurement and measurement is vital for any organization. The management and performance appraisal system as one of the management processes play a key role in realizing the goals and missions of the organization. The purpose of this research is to identify the effective factors of multilevel performance management of the Applied Higher Education Institution of Applied Water and Power industry which are based on a balanced scorecard. The present research is applicable to the purpose. The research method is exploratory blend. The statistical population of the research is the experts of the Applied Higher Education Institute of Water and Power Industry, which has at least 5 years of education management experience and has a master's degree. By using a targeted and judgmental sampling method, an interview was conducted with experts from the statistical community, After 15 interviews with experts on the subject of research, theoretical saturation was obtained.The results of the interview were analyzed by the three-step coding method and were identified and presented at three levels: individual, group, and organizational levels in the form of four dimensions of the balanced scorecard.

Abstract Managers in all organizations today called for optimum use of existing facilities and capacities in different sectors. So in order to provide feedback model to improve performance of various branches and agencies to achieve a tool to meet the needs of managers, and the essential logic seems. The purpose of this study provide a model compilation process fuzzy network analysis, balanced scorecard and fuzzy data envelopment analysis for performance evaluation of branch offices is Yazd Cooperative with the device can also identify efficient and inefficient branches, the appropriate strategies improve the performance of inefficient branches and more branches to strengthen whatever can be effectively developed. In this study of balanced scorecard model to extract parameters assessment, fuzzy analysis network process techniques to estimate fuzzy relative importance of each indicator under a single perspective and of fuzzy data envelopment analysis techniques to evaluate the performance of branches has been used. financial Perspective as the most important, and the Yazd and ardakan Branches were identified Assessment as the efficient performance of the branches.

Abstract One of the most important difficulties with existing companies ranking models is their emphasis on just one critical index, such as income or sale. In other word, they rank companies in terms of their activity size not their performance, excellence and advantages. The aim of this paper is to remove this difficulty by designing a general comprehensive raking model based on companies performance, excellence and advantages. The proposed model is an extension to Balanced Score Card (BSC) model. It conists of 6 major components named financial, internal process, customer, development and innovation, human resources and finally management. It also includes 422 indices, and applies MADM technique for weighting indices and final ranking. The model is also practically tested to rank 8 major Iranian automobile makers based on 40 existing data in Tehran Stock Exchange. The results of ranking provided at the ending section of the paper.

Abstract Regarding necessity of performance evaluation an business excellence achievement, this paper is trying to present a business excellence model (BEM) through the combination of two qualitative and quantitative approach to evaluation which are the models taken from total quality management (TQM) and data envelopment analysis (DEA). The model discussed covers all the advantages of the two models and reduces the defficiencies as mach as possible. By reviewing BEMs, in this research, the appropriate crieria for performance evaluation and business excellence are identified and also applied in DEA, which by using tangible inputs and outputs evaluate the organzations.