جستجوی مقالات مرتبط با کلیدواژه « Overall efficiency » در نشریات گروه « مدیریت »

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.

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.