assessment human resources of banks using dea and fuzzy dea approaches

نویسندگان

سید فرید قادری

مهندسی صنایع محمد علی آزاده

مهندسی صنایع مریم میرجلیلی

مهندسی صنایع محمد شیخ علیشاهی

مهندسی صنایع

چکیده

today, the country's banking system, according to the discussions to join the world trade organization is encountered with new challenges such as entry of foreign banks, emerging private banks and increasing the activities of financial and credit institutions. therefore, in order to survive and compete in this dynamic environment banking organizations require paying more attention to human resources as one of their main pillars. human resources function for any organization is that which can lead to survival or destruction of that organization. therefore, in this paper affecting factors on human resource performance are investigated. then data envelopment analysis method (dea), which is a common method of performance evaluation in different fields, is used to determine efficiency, rank, surplus of input parameters, deficiency of output values and critical indicators in banks. since in some real world cases, the criteria for evaluating the operations of employees cannot be precisely measured, a fdea is proposed to consider the uncertainty existent within qualitative indicators. then efficiency and rank of banks are determined. moreover, the ranking results obtained by fdea with crisp inputs have been compared with dea using spearman correlation technique in which a relatively high degree of correlation has been identified between dea and fdea with crisp inputs. the proposed approach in this paper can be utilized for ranking, and investigation of human resources efficiency and suggestion of optimum human resources operation in any banking organization.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...

Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banks

Performance analysis has become a vital part of the management practices in the banking industry. There are numerous applications using DEA models to estimate efficiency in banking, and most of them assume that inputs and outputs are known with absolute precision. Here, we propose new Fuzzy-DEA α-level models to assess underlying uncertainty. Further, bootstrap truncated regressions with fixed ...

متن کامل

Fuzzy Multi-Component DEA with Shared and Undesirable Fuzzy Resources

Abstract—Multi-component data envelopment analysis (MCDEA) is a popular technique for measuring aggregate performance of the decision making units (DMUs) along with their components. However, the conventional MC-DEA is limited to crisp input and output data which may not always be available in exact form. In real life problems, data may be imprecise or fuzzy. Therefore, in this paper, we propos...

متن کامل

Fuzzy multiattribute grey related analysis using DEA

Qualitative input is encountered in many real decision-making domains. Often such domains include tradeoffs among multiple attributes, and estimates of parameters are often expressed with some degree of uncertainty. Grey related analysis has been proposed as a means to use interval fuzzy representation of data. When dealing with multiple criteria data, model parameters that can involve uncertai...

متن کامل

Natural Resources Exchange Traded Funds: Performance Appraisal using DEA Modeling

The purpose of this paper is to evaluate the performance of a sample of natural resources exchange traded funds (ETFs) by applying a two-stage procedure. In the first stage, the generalized proportional distance function (GPDF) in the data envelopment analysis (DEA) context is used for the first time to measure the relative efficiency of sectoral ETFs. In the second stage, a Tobit model is empl...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
مهندسی صنایع

جلد ۴۴، شماره ۲، صفحات ۲۱۳-۲۲۸

کلمات کلیدی
today the country's banking system according to the discussions to join the world trade organization is encountered with new challenges such as entry of foreign banks emerging private banks and increasing the activities of financial and credit institutions. therefore in order to survive and compete in this dynamic environment banking organizations require paying more attention to human resources as one of their main pillars. human resources function for any organization is that which can lead to survival or destruction of that organization. therefore in this paper affecting factors on human resource performance are investigated. then data envelopment analysis method (dea) which is a common method of performance evaluation in different fields is used to determine efficiency rank surplus of input parameters deficiency of output values and critical indicators in banks. since in some real world cases the criteria for evaluating the operations of employees cannot be precisely measured a fdea is proposed to consider the uncertainty existent within qualitative indicators. then efficiency and rank of banks are determined. moreover the ranking results obtained by fdea with crisp inputs have been compared with dea using spearman correlation technique in which a relatively high degree of correlation has been identified between dea and fdea with crisp inputs. the proposed approach in this paper can be utilized for ranking and investigation of human resources efficiency and suggestion of optimum human resources operation in any banking organization.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023