Sajjad Jalali; Ali Asghar Anvary Rostamy; Jalal Seifoddini
Volume 27, Issue 3 , October 2024, , Pages 1-28
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 ...
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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.
Mahmoud Moradi
Volume 18, Issue 3 , September 2014, , Pages 133-157
Abstract
Inherent ambiguity and uncertainty in the nature of human resource because of bounded rationality and cognitive limitations always make difficult to predict behaviors of such complex system. Thus, predicting in this area necessitates modeling approaches to model ambiguity as part of system. The purpose ...
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Inherent ambiguity and uncertainty in the nature of human resource because of bounded rationality and cognitive limitations always make difficult to predict behaviors of such complex system. Thus, predicting in this area necessitates modeling approaches to model ambiguity as part of system. The purpose of this study is to apply artificial intelligence and advance optimization algorithms to modeling personnel efficiency. To do so, it uses “Emotional Quotient (EQ)” and “individual characteristics” as input variables and “responsibility”, “work speed” and “work accuracy” as output variables. In order to model personnel efficiency, an Adaptive Neuro-Fuzzy Inference Optimized System (ANFIS) is introduced. This system utilizes genetic algorithm and Singular Value Decomposition (SVD) method. It can predict personnel efficiency with minimum training error, minimum predicting error and maximum adaptability to the real efficiency. It is worth mentioning that, for 84% to 96% of records, the extracted models are the same as the real efficiency.
mahdi attari; MOHAMMAD BAGERI
Volume 16, Issue 3 , September 2012, , Pages 21-38
Abstract
One of important steps to quality improvement of activities and increasing productivity in manufacturing systems, is noticing and emphasizing on evaluation factors that be Caused to personnel's efficiency reduction. Correct and timely recognition of factors that reduce to personnel's efficiency, especially ...
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One of important steps to quality improvement of activities and increasing productivity in manufacturing systems, is noticing and emphasizing on evaluation factors that be Caused to personnel's efficiency reduction. Correct and timely recognition of factors that reduce to personnel's efficiency, especially managers, meets to efficiency improvement. One of major reasons of managers' efficiency reduction is dawdle. in this paper using descriptive statistics, Factor Analysis method and DEMATEL technique, has been purposed a novel model to analyzing existent similarities and diversities between opinions of different groups' managers of one company about reasons of dawdle, specifying and classifying most important areas that need to improvement, and specifying cause and effect relation between them. Findings this model show the most effective factor of dawdle and finally managers' efficiency reduction in office is very much visits and sessions with very little results, and least effective factor is be inordinate social. Also most causal factors are job incentive shortage, expert personnel shortage, mistake or incomplete information, and self assurance shortage.
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Volume 15, Issue 3 , November 2011, , Pages 87-103
Abstract
Identifying Inefficient Bank Branches Using DEA and Use of Integrated Strategies in Order to Increase Performance Branches
Naser Hamidi1, Reza Akbari Shemirani2, Safar Fazli3
1. Assistant Professor, Department of Managemen and Accounting, Islamic Azad University Qazvin Branch, Qazvin, Iran
2. ...
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Identifying Inefficient Bank Branches Using DEA and Use of Integrated Strategies in Order to Increase Performance Branches
Naser Hamidi1, Reza Akbari Shemirani2, Safar Fazli3
1. Assistant Professor, Department of Managemen and Accounting, Islamic Azad University Qazvin Branch, Qazvin, Iran
2. M. A , Department of Managemen and Accounting , Islamic Azad University Qazvin Branch, Qazvin, Iran
3. Assistant Professor, Department of Social Sciences, Imam Khomeini International University, Qazvin, Iran
Received: 27 /10/2010 Accept: 9/3/2011
Among the various economic and financial organizations, banks are considered and discussed as one of the most important pillars of any economic system. Therefore, considering the important role of banks in the developed countries and their multiple branches, bank branch performance measurement is important. The main purpose of this work is measure branch performance and the use of integration strategy to obtain efficient branches. Accordingly, first the efficiency of bank branches conceptual system was defined. Then using the action plan were inputs and outputs determined. In the next stage, Tehran province branch efficiency was calculated through Data Envelopment Analysis model as non-radial (SBM) to determine the inefficient branches. Based on the bank merger policy, the clusters were determined and the branches in each cluster were merged in a binary form. The final stage of the integration of non-radial (SBM) to assess the performance of branches and compare it with their initial performance.
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Volume 14, Issue 4 , March 2011, , Pages 137-164
Abstract
This research has been done with the aim of identification of the effective
factors that influence credit risk and designing a model for the credit rating
of the legal clients of Tejarat Bank in 2003-2004 by using Data Envelopment
Analysis. For this purpose, the necessary sample data on financial ...
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This research has been done with the aim of identification of the effective
factors that influence credit risk and designing a model for the credit rating
of the legal clients of Tejarat Bank in 2003-2004 by using Data Envelopment
Analysis. For this purpose, the necessary sample data on financial and nonfinancial
information of 146 companies (as random simple) was selected. In
this research, 27 explanatory variables (including financial and non-financial
variables) were identified and examined. Finally, with the application of
factor analysis and Delphi method, 8 variables, which had significant effect
on credit risk, were selected and entered into the DEA model. Efficiency of
the companies was calculated by using these variables. Then the model
validity was measured by regression analysis. The DEA credibility scores
represented the dependent variables while the 8 ratios used were considered
as independent variables. The findings of the research showed that 25
companies stand on the border of efficiency. Also with one exception
(owners equity/ total asset), ’all variables had the expected direction
α = %5 .
Research conclusions confirmed the hypothesis of DEA model’s
efficiency on credit rating of the companies who have taken credit facilities
from branches of Tejarat Bank in Tehran city.
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Volume 15, Issue 1 , February 2011, , Pages 135-158
Abstract
The need for designing and implementing performance assessment systems at R&D centers is one of the urgent issues of all industries. Assessment of R&D projects has become one of the most challenging decision making issues for the managers of R&D centers. Multi-criteria decision ...
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The need for designing and implementing performance assessment systems at R&D centers is one of the urgent issues of all industries. Assessment of R&D projects has become one of the most challenging decision making issues for the managers of R&D centers. Multi-criteria decision making methods have so far been used for the assessment of R&D projects in different stages of their lifecycle. Our approach is to develop Data Envelopment Analysis by combining Balanced Scorecard and Data Envelopment Analysis. Inputs and outputs for the integrated DEA-BSC model have been extracted from “Balanced Scorecard for R&D projects”. The major goals of the integrated DEA-BSC approach are as follows: increasing the reliability of inputs and outputs criteria, improving the calculated efficiency of all sections and striking a balance between the efficiency and the effectiveness of different sections. This model has been implemented in an industrial research laboratory for R&D projects as a case study. The results showed that synergizing between BSC and DEA in R&D projects causes the: achieving of the expected objectives of each project and balancing and optimizing the usage of resources to meet the desired outputs.
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Mohammad Taqi Norozi; hasan Danaee Fard; Ahmad Ali Khaef Alahi
Volume 13, Issue 2 , June 2009, , Pages 65-91
Abstract
The attention to servant leadership has increased in the recent years and different kinds of business, profit, educational and even governmental organizations have used servant leadership principles for managing their organizations. But doubts have been raised in regard to the effectiveness of implementing ...
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The attention to servant leadership has increased in the recent years and different kinds of business, profit, educational and even governmental organizations have used servant leadership principles for managing their organizations. But doubts have been raised in regard to the effectiveness of implementing servant leadership for organizational effectiveness, especially, in governmental organizations. In the light of mixing Iranian culture with the goals of servantitude and importance of the topic, this article is concerned to test the effect of servant leadership on organizational effectiveness of Iranian governmental organizations through the two ways of leadership and followership effectiveness. For this purpose, after problem statement and reviewing the literature, the factors and the variables of theoretical research model was recognized and the respected questions were distributed among the managers and employees of 22 Iranian public organizations. T- student test was employed for examining the whole status of research dimensions. For testing the hypotheses, statistical tests of regression and Spearman correlation were employed. In examininig the relation between research dimensions, all of the relationships under study were verified. But the low score obtained for the mean of servant Leadership Measuring Instrument (OLA) in comparison to average mean explained that servant leadership is exercised weakly in Iranian public organizations while paternalistic leadership dominated them. Also the weak relationship of realization of organizational effectiveness through servant leadership - followership effectiveness denotes thelack of necessary attention to the followers and their role in organizational effectiveness. Finally, some suggestions are offered according to the results.
Mohammad Reza Mehrgan; Amin Kamyab Moghaddas; Aliyeh Kazemi
Volume 13, Issue 2 , June 2009, , Pages 271-296
Abstract
In this paper, with the priority of measuring and promoting productivity in energy sector, we presented a model for evaluating the technical efficiency of oil refineries, as huge producers of energy and different fuels. The basis of evaluation in this research was Math modeling by using new and advanced ...
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In this paper, with the priority of measuring and promoting productivity in energy sector, we presented a model for evaluating the technical efficiency of oil refineries, as huge producers of energy and different fuels. The basis of evaluation in this research was Math modeling by using new and advanced operational research techniques such as data envelopment analysis, goal programming, analytical hierarchy process and designing combined models. The formulating process was made under two different scenarios and assumptions: consumption-production and cost-income. The final results ranked the order and sort of each refinery as a decision making unit. In addition to calculation of each unit’s score, we also made a comparison between the units, their weaknesses and the favorite score of each unit in real situation. This research focuses on the optimized utilization of refining processes with less refining cost and ability to make more valuable products considering the present availabilities and capacities
