جستجوی مقالات مرتبط با کلیدواژه « overall efficiency » در نشریات گروه « علوم انسانی »

Standard Data Envelopment Analysis (DEA) models measures the efficiency of Decision Making Units (DMUs) in a period of time. In real occasions, multi periods are presented. In presence of a multi-period system, overall efficiency depends on the performance of the DMU in all periods. That is to say, periodic efficiencies must be calculated, also, the overall efficiency is depended to periodic efficiencies. In other words, a DMU cannot be overall efficient, but considered as an efficient unit in each separate period. Hence, the question of pseudo inefficiency is raised?

This paper investigates Ratio-based Data Envelopment Analysis (DEA-R) models to detect pseudo inefficiency in multi-period systems.

The proposed algorithm consists of three steps. As the first step, the average of period-efficiencies is calculated, then the overall efficiency is evaluated as a block-box. For the last step, a ratio of two quantities is estimated. If this ratio is close to unity, there is no significant difference between these two quantities. Otherwise, the estimate claims pseudo inefficiency.

Originality/Value:

 In the literature, pseudo inefficiency has been detected through applying the periodic weights, but this paper proposes a three-step algorithm to investigate pseudo inefficiency. To elucidate the details of the proposed approach, a comparison is made between Kao and Liu [8] and the proposed algorithm to measure the efficiency of 22 Taiwanese commercial banks for the period 2009-2011. The results demonstrate the practicality and superiority of the proposed method in comparison with the existing multi-period models.

This analytical-descriptive article seeks to explain the impact of overall and partial of efficiency governance and residents on selected financing methods in the Javanmard Qassab neighborhood. The statistical population was all residential properties located in this neighborhood, of which 50 homogeneous license plates were selected in terms of land area by non-random sampling method. Using fuzzy data envelopment analysis model, Network Fuzzy Range Adjusted Measure Data Envelopment Analysis, overall and partial efficiency was calculated and classified into three groups by using the K-means Clustring technique. Findings from Pearson correlation coefficient and F-test & test of significance (Two-tailed) of variance in SPSS software environment show that there is a direct and positive relationship between overall efficiency and part of residents in all financing methods with an average correlation coefficient of 0.834 with a significant level of 99%. It is more prominent in the process of improvement and modernization. The findings show a direct relationship between overall efficiency and governance with a mean correlation coefficient of 0.570. The results suggest that there is no significant relationship between residents' performance efficiency and governance, which indicates a lack of correlation in financing between government and people's interests.

Today's it is essential to assess and determine the efficiency of NIS to achieve the objectives of macroeconomic policies. In this study, a network data envelopment analysis models are used to evaluate the performance of the national innovation system of Iran and 73 other countries in a two-stage process is the production and commercialization of knowledge. The results show that Iran's national innovation system is inefficient. The first and second stages and the overall efficiency in the free link are 0.59, 0.74 and 0.18, in a fixed link are 0.74, 0.87 and 0.63 and SBM is 0.88. To improve performance, reduce the amount specified inputs, increase their efficiency levels and thus the efficiency of the entire system will be up to the efficient frontier.

The performance evaluation and efficiency measurement of software companies and compare them together as a set of knowledge-based activities due to the unknown of internal processes and stages common to these companies and ignoring these processes in performance evaluation by data envelopment analysis models and how to consider these processes and procedures for calculating efficiency of each stage and overall efficiency of each company are the issues that this article effort to study them. The main objects of this study are determination the common stages and processes of innovation activities in software companies and measurement of the innovation efficiency of each stages and the overall efficiency of each company over a period of four years. The literature review and experts interviews revealed that each company has two series stages of knowledge production and exploitation processes. To determine the efficiency of each stage and the overall efficiency we used network data envelopment analysis- game theory approach. The modeling is done by the leader-follower method or Stackelberg game for two stages and their solved using GAMS software. The results show that the overall efficiency of all companies is less than one and in the first stage, only two of the 38 companies and in the second stage, only three of them are full efficient. It is suggested that inefficient firms at every stage follow its determined benchmarks to improve their operations.

Banks play substantial role in the national economy and its growth and prosperity. In this regard، recent researches have focused on performance evaluation of banks using “data envelopment analysis” (DEA). However، most of these studies has paid less attention to the selection of input and output variables. Obviously، the change in the variables set makes the efficiency scores and assessments of the decision-making units very different. Hence، in this paper، a logistic regression model is used in order to select the input and output variables. Applying this method indicates that the main variables of model are main source of financing as «input variable» and the bank facilities، resource absorption rate and number of bills as «output variables». These are of the greatest impact on forecasting of units efficiency (inefficiency). Then، we dealt with this set of variables to determine technical، allocative، and overall efficiency of 15 branches of Sepah Bank in Tehran during 2011. The results show that only 27 percent of units are 100% efficient، 20% of the units are 100% inefficient، 20% of units are allocatively inefficient and 34% of them are technically inefficient.