Evaluation and Scrutiny of the Appropriate Method of Technology Transfer Using Data Envelopment Analysis ( DEA ) Method

2014 ◽  
Vol 3 (8) ◽  
pp. 197-204 ◽  
Author(s):  
Ali Amiramini Kahrizeh ◽  
Sohrab Ghaderi
Keyword(s):  
Data Envelopment Analysis ◽  
Technology Transfer ◽  
Data Envelopment ◽  
Dea Method ◽  
Using Data

EVALUATING THE EFFICIENCY OF VIETNAM BANKS USING DATA ENVELOPMENT ANALYSIS

2021 ◽  
pp. 2150010
Author(s):  
DO THI THANH NHAN ◽  
KIM-HUNG PHO ◽  
DANG THI VAN ANH ◽  
MICHAEL MCALEER
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Resource Analysis ◽  
Scientific Disciplines ◽  
Business Efficiency ◽  
Dea Method ◽  
Using Data

Efficiency is a topic of great interest because its applications are diverse and rich. It is applied greatly in all scientific disciplines, especially accounting for a very large proportion in economics, finance and accounting. The main objective in this paper is to analyze the effectiveness of banks in Vietnam. In order to investigate this issue, there are several implements to examine bank effectiveness where the data envelopment analysis (DEA) method is widely used. This paper presents details of the DEA method. Using the data collected from banks in Vietnam for the period 2014–2017, the approach is executed to investigate issues of technical efficiency, resource analysis and business efficiency of banks in Vietnam.

scholarly journals MEASUREMENT OF SUPPLY CHAIN PERFORMANCE USING DATA ENVELOPMENT ANALYSIS (DEA) METHOD IN THE DISTRICT AND CITY OF BOGOR

2019 ◽  
Vol 7 (11) ◽  
pp. 222-227
Author(s):  
Wilda Sukmawati ◽  
◽  
Machfud a ◽  
Ono Suparno ◽  
Aji Hermawan ◽  
...  
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Dea Method ◽  
Using Data

scholarly journals The Optimalization of Zakah Distribution During Covid-19 Pandemic Using Data Envelopment Analysis (DEA) Method at Badan Amil Zakat Nasional (BAZNAS) Indonesia

2021 ◽  
Vol 6 (2) ◽  
pp. 180
Author(s):  
Yosi Maytesa ◽  
Mega Ilhamiwati
Keyword(s):  
Data Envelopment Analysis ◽  
Economic Crisis ◽  
Relative Efficiency ◽  
Data Envelopment ◽  
The Future ◽  
The Mean ◽  
Dea Method ◽  
Using Data ◽  
Method Approach

Purpose: The purpose of this paper is to assess the level of optimality of zakat institutions to deal with the economic crisis during the Covid-19 pandemic.Design/Method/Approach: In this research, the measurement of efficiency of zakat distribution during the Covid-19 pandemic at badan amil zakat nasional (BAZNAS) has been carried out using data envelopment analysis (DEA) method.Findings: The result is the mean of zakah distribution relative efficiency are 70 %. Finally, some suggestion for evaluating the distribution of zakat in the future has been discussed. Originality/Values: The contribution of this research is to obtain the efficiency value of zakat distribution during the Covid-19 pandemic. So that with the result, the management of zakat distribution at BAZNAZ can improved and evaluated.

scholarly journals Pineapple Chips Business Efficiency Analysis In Kampar Regency Riau Province Using Data Envelopment Analysis (DEA) Method

Agro Ekonomi ◽  
2018 ◽  
Vol 27 (1) ◽  
pp. 64
Author(s):  
Riska Dian Oktari ◽  
Lestari Rahayu Waluyati ◽  
Any Suryantini
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Research Result ◽  
Added Value ◽  
Data Envelopment ◽  
High Profit ◽  
Business Efficiency ◽  
Dea Method ◽  
Using Data

Pineapple chips is a processed product made of pineapple produced in Kampar Regency. Efficient pineapple chips processing will produce both an added value and high profit. The purpose of this research was to determine the level of relative efficiency of pineapple chips business in Kampar Regency in Riau Province. The level of efficiency achieved is a reflection of the quality of good performance. This research used Data Envelopment Analysis (DEA) method to measure the level of efficiency. An analysis using Data Envelopment Analysis (DEA) method with Constant Return to Scale (CRS) assumption through input oriented approach was done to understand the levels of the pineapple chips producers relative efficiency. The research result showed that Most of the pineapple chips producers in Kampar Regency had not been efficient in relative terms, in which from the total of 21 pineapple chips producers, 8 producers were efficient (38,10%) and 13 producers had not been efficient (61,90%). The efficient producers should be a reference for inefficient producer in using inputs. By referring to the efficient producers, it is expected that the inefficient producers could use the input optimally so that the processing pineapple chips business could reach an efficient condition.

scholarly journals A Hybrid Clustering Method Using Balanced Scorecard and Data Envelopment Analysis

2015 ◽  
Vol 1 (7) ◽  
pp. 15-25
Author(s):  
Hêriş Golpîra
Keyword(s):  
Data Envelopment Analysis ◽  
Balanced Scorecard ◽  
Data Envelopment ◽  
Clustering Method ◽  
Major Drawback ◽  
Hybrid Clustering ◽  
Relative Closeness ◽  
Strategic Factors ◽  
Dea Method ◽  
Using Data

This paper introduces a new hybrid clustering method using Data Envelopment Analysis (DEA) and Balanced Scorecard (BSC) methods. DEA cannot identify its’ input and output itself, and it is a major weakness of the DEA. In the proposed method, this gap is resolved by integrating DEA with BSC. Some decision-making units (DMUs) needed in DEA method, in compliance with some inputs and outputs is the major drawback of this integration. To deal with this disadvantage, the proposed method selects the most important strategic factors, attained from the BSC method. These data considered to be the input data for the DEA method to calculate relative closeness (RC) of each DMU to the ideal one. Plotting the screen diagram regarding RC index leads us to the final clustering method. Finally, computational results show the applicability and usefulness of the method.

scholarly journals Evaluating Efficiency of Zakah Institutions: An Intermediation Approach Using Data Envelopment Analysis (DEA)

2021 ◽  
Vol 5 (1) ◽  
pp. 16
Author(s):  
Sepky Mardian ◽  
Rismayanti Rismayanti ◽  
Mustafa Kamal ◽  
Rianti Pratiwi
Keyword(s):  
Data Envelopment Analysis ◽  
Comprehensive Evaluation ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Inhibiting Factors ◽  
Input And Output ◽  
Long Duration ◽  
Dea Method ◽  
Using Data ◽  
Decision Making Units

Abstract   This paper analyzes the efficiency of Badan Aml Zakat Nasional (BAZNAS) and Dompet Dhuafa from 2002 to 2018. Based on selected input and output, the intermediary approach assumes that BAZNAS and Dompet Dhuafa act as a link between muzakki (giver) and beneficiaries. Furthermore, BAZNAS and Dompet Dhuafa were selected as decision-making units (DMU) from 2002 to 2018, and their efficiency was measured using Data Envelopment Analysis (DEA) method under output-orientation with Constant Return to Sclae (CRS) and Variable Return to Scale (VRS) assumptions. The results showed both BAZNAS and Dompet Dhuafa raise the optimum efficiency in the years before 2007. Meanwhile, their inefficiency was mostly due to lack of input such as higher personalia (amil/volunteers) expenses. Therefore, these findings suggests that both technical and scale efficiency should be improved by adjusting the input. This is to achieve the most efficient and productive level of performance in order to fulfill the institutions' objectives as an intermediary between muzakki and the beneficiaries. This paper is among the pioneers that analyzed the efficiency of zakat institutions from their initial establishment to present. Also, existing papers examined data spanning 5 years or less. Hence, long duration of data analysis provides a comprehensive evaluation of fluctuations in the zakat institutions efficiency and their supporting or inhibiting factors.  

scholarly journals Efficiency in the Worst Production Situation Using Data Envelopment Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Md. Kamrul Hossain ◽  
Anton Abdulbasah Kamil ◽  
Adli Mustafa ◽  
Md. Azizul Baten
Keyword(s):  
Data Envelopment Analysis ◽  
Shape Parameter ◽  
Pareto Distribution ◽  
Maximum Output ◽  
Data Envelopment ◽  
Dea Efficiency ◽  
Dea Method ◽  
Stochastic Data ◽  
Using Data ◽  
Decision Making Units

Data envelopment analysis (DEA) measures relative efficiency among the decision making units (DMU) without considering noise in data. The least efficient DMU indicates that it is in the worst situation. In this paper, we measure efficiency of individual DMU whenever it losses the maximum output, and the efficiency of other DMUs is measured in the observed situation. This efficiency is the minimum efficiency of a DMU. The concept of stochastic data envelopment analysis (SDEA) is a DEA method which considers the noise in data which is proposed in this study. Using bounded Pareto distribution, we estimate the DEA efficiency from efficiency interval. Small value of shape parameter can estimate the efficiency more accurately using the Pareto distribution. Rank correlations were estimated between observed efficiencies and minimum efficiency as well as between observed and estimated efficiency. The correlations are indicating the effectiveness of this SDEA model.

The Differences Analysis of Input-Output Efficiency of Regional R&D Activities Based on DEA

2014 ◽  
Vol 599-601 ◽  
pp. 1764-1767
Author(s):  
Yu Han Liu ◽  
Yong Bo Lv ◽  
Yuan Ren
Keyword(s):  
Data Envelopment Analysis ◽  
Technological Innovation ◽  
Technology Development ◽  
Science And Technology ◽  
Data Envelopment ◽  
Input Output ◽  
Regional Investment ◽  
Output Efficiency ◽  
Dea Method ◽  
Using Data

Research and development activities plays an important role in regional science and technology development and technological innovation. Regional R&D input-output efficiency is a measure of the effectiveness of regional investment in science and technology activities. This paper selects four indicators to make evaluation of the input-output efficiency of R&D activities and analysis of differences between regions by using data envelopment analysis (DEA method).

Competitive Pricing Using Data Envelopment Analysis — Pricing for Oscilloscopes

2016 ◽  
Vol 13 (01) ◽  
pp. 1650006 ◽  
Author(s):  
Bing Wang ◽  
Timothy R. Anderson ◽  
Wilson Zehr
Keyword(s):  
Data Envelopment Analysis ◽  
State Of The Art ◽  
Product Category ◽  
Data Envelopment ◽  
Product Features ◽  
Competitive Price ◽  
Dea Method ◽  
A New Technique ◽  
Using Data ◽  
Competitive Pricing

The research in this paper proposes a new technique for pricing products in competitive markets taking into account the features and prices of competing product offerings. This technique is based on a methodology known as data envelopment analysis (DEA) and is referred to as competitive pricing using data envelopment analysis (CPDEA). With the development of technology accelerating and new products coming to the market at an ever faster pace, prices of current products are often adjusted based on the state-of-the-art (SOA) technology in the market in order to remain competitive. CPDEA measures the product features that are most important to customers and calculates the performance efficiency values using the DEA method. CPDEA regards price as a performance feature, using this approach the manufacturer can adjust the price in order for a product to reach the SOA frontier and maintain competitive pricing. This research demonstrates the proposed method applied to a popular product category in the test and measurement industry: oscilloscopes. The authors investigated the features of oscilloscopes that are most important to users, then a feature dataset from different oscilloscope models was collected, and the performance efficiency values of the different models were calculated. The product prices are then adjusted in order for efficiency to be as close to 1 as possible which means that the products are considered SOA in the market. In this way, we obtain a more competitive price for the older products, while also setting the prices for the advanced products in a way that captures the value of their additional features.

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