Research on Technology Integration Innovation Platform Performance Evaluation

2013 ◽  
Vol 423-426 ◽  
pp. 2261-2265
Author(s):  
Cheng Qiang Liu ◽  
Guo Ping Cheng
Keyword(s):  
Technology Integration ◽  
Data Envelopment ◽  
Allocation Of Resources ◽  
Analysis Method ◽  
Input Output ◽  
Correct Evaluation ◽  
Output Performance ◽  
Dea Method ◽  
Performance Analyze ◽  
Innovation Platform

The performance of the technology integration innovation platform shows that the group's overall value creates result, the correct evaluation can help the platform to optimize the better allocation of resources, to achieve better output effect. We use data envelopment (DEA) method based on clearing connotation of the technology integration innovation platform performance, analyze the technology integration innovation platform input-output performance, summarize the analysis method and analyze the example simply, produce reference to the technology integration innovation platform.

scholarly journals Measurement of Environmental Efficiency in the Countries of the European Union with the Enhanced Data Envelopment Analysis Method (DEA) during the Period 2005–2012

Proceedings ◽  
2020 ◽  
Vol 38 (1) ◽  
pp. 20
Author(s):  
Manuel Jesús Hermoso-Orzáez ◽  
Miriam García-Alguacil ◽  
Julio Terrados-Cepeda ◽  
Paulo Brito
Keyword(s):  
European Union ◽  
Data Envelopment Analysis ◽  
Geographical Area ◽  
Environmental Policies ◽  
Environmental Efficiency ◽  
Data Envelopment ◽  
The European Union ◽  
Analysis Method ◽  
New Variant ◽  
Dea Method

In recent years there has been growing interest in measuring the environmental efficiency of the different territories, countries and/or nations. This has led to the development of different methods applied to the evaluation of environmental efficiency such as the Data Envelopment Analysis (DEA) method. This method, supported by different studies, allows measuring relative environmental efficiency and is consolidated as a very reliable method to measure the effectiveness of environmental policies in a specific geographical area. The objective of our study is the calculation of the environmental efficiency of the 28 member countries of the European Union (EU) through the DEA method. We will collect the data regarding the last years in which there are reliable comparative data in all. We will study in reference to them, the results of the environmental policies applied in the different countries, in order to make comparisons between countries and classify them according to their environmental efficiency. Using this, two variants of calculation within the DEA method to compare in a contrasted way the results of environmental efficiency for the 28 countries of the European Union (EU) analyzed and propose possible solutions for improvement. Contributing in this work as main novelty the application of a new variant of the DEA Method, which we will call Improved Analysis Method (MAN) and that aims to agglutinate and assess more objectively, the results of the two DEA methods applied. The results show that there are 14 of the 28 countries that have a high relative environmental efficiency. However, we also find countries with very low environmental efficiency that should improve in the coming years. Coinciding precisely in this last group with countries recently admitted to the EU and where environmental policies have not yet been applied effectively and with positive results.

scholarly journals EFFICIENCYMEASUREMENT OF ZAKAT INSTITUTION PROGRAM: CASE STUDY DOMPET DHUAFA INDONESIA

2016 ◽  
Vol 1 (1) ◽  
pp. 28
Author(s):  
Aam Slamet Rusydiana ◽  
Hasna Maliha ◽  
Salman Al-Parisi
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Input Output ◽  
Decision Making Unit ◽  
Dea Method ◽  
Potential Improvement ◽  
Main Factor

Although social based, Zakat Institutions (OPZ) need to uphold professionalism, transparency and accountabilityin its management. Most recently, Zakat Core Principles is known as the measurement of zakat fundmanagement. This study would try to measure the efficiency of DompetDhuafa�s program as Decision Making Unit (DMU) in the level of efficiencyusing Data Envelopment Analysis (DEA) method. And also the research would look at the possibility of potential improvement from inefficient DompetDhuafa�s programs,input-output contribution and the reference contribution of the DMU.The results show that there are 6 DMU that efficient (100%) and inefficient as much as 18 DMU. The most inefficient program is wakaf fund (2012). In general, the main factor inefficiency ofDompetDhuafa program from 2010 to 2013 due to the distribution fund of DompetDhuafa program such as zakat, wakaf, humanity etc to ashnaf which is still less optimal.The distribution fund also has to increase up to 75.38%, then it is able to resolve the problem of poverty.

Input–output performance efficiency measurement of an electricity distribution utility using super-efficiency data envelopment analysis

2018 ◽  
Vol 22 (22) ◽  
pp. 7339-7353 ◽  
Author(s):  
Miriam F. Bongo ◽  
Lanndon A. Ocampo ◽  
Yannie Ann D. Magallano ◽  
Geraldine A. Manaban ◽  
Ezra Kim F. Ramos
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Measurement ◽  
Data Envelopment ◽  
Electricity Distribution ◽  
Input Output ◽  
Super Efficiency ◽  
Output Performance ◽  
Efficiency Data

scholarly journals Methods of Measuring the Efficiency of Commercial Banks: an Example of Polish Banks

Ekonomika ◽  
2008 ◽  
Vol 84 ◽  
Author(s):  
Grazyna Wozniewska
Keyword(s):  
Commercial Banks ◽  
Balance Sheet ◽  
Efficiency Analysis ◽  
Data Envelopment ◽  
Financial Indicators ◽  
Analysis Method ◽  
Bank Efficiency ◽  
Efficiency Measures ◽  
Dea Method ◽  
Non Parametric

Efficiency analysis is essential for the evaluation of banks’ performance. To estimate banks’ efficiency, we can apply different methods. Analysis of financial indicators is the most popular efficiency analysis method in banks, but the number of financial indicators can be really big and make the interpretation of the results more difficult. Another way to estimate efficiency measures is the nonparametric frontier method - Data Envelopment Analysis (DEA). This method has become increasingly popular in measuring bank efficiency in the countries with developed banking systems.The main aim of this article is to present the results of efficiency analysis, computed by means of both methods, i. e. the classical index of balance sheet characteristics and the non-parametric DEA method.The analysis was carried out in the biggest banks operating in Poland in 2000-2007. The empirical results show that the efficiency measures give a similar although not identical picture of Polish commercial banks’ performance. These results (yielded by both methods) are complementary to each other and suggest that the non-parametric DEA method is really valuable and worth applying in bank practice.The work presents also the reasons that would explain the achieved results. It also compares both methods, their potentials and limitations in applying them to banking.

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).

scholarly journals Analysis of the Efficiency Level of Sharia Rural Financing Bank (SRFB ) Using Data Envelopment Analysis (DEA)

2020 ◽  
Vol 3 (1) ◽  
pp. 68-85
Author(s):  
Leyla Mariana ◽  
Harun Harun
Keyword(s):  
Data Envelopment Analysis ◽  
Annual Report ◽  
The Other ◽  
Data Envelopment ◽  
Operational Cost ◽  
Input Output ◽  
Dea Method ◽  
Using Data

This research aims to analyze the efficiency level of Sharia Rural  Financing Bank (SRFB) in Surakarta.  This study used data from four Rural Sharia Banks taken from www.ojk.co.id, which published its annual report. This study conducted input-output variables with the Data Envelopment Analysis (DEA) method as a tool of analysis. The results of the research showed that the SRFB Dana Amanah is indicated as efficient during the 2017 period. The other three are indicated as inefficient in the last quarter. The inefficiency source came from its operational cost and its incapability to get higher output.

scholarly journals Evaluation of Input-Output Efficiency of Sports Industry Based on SWOT-PEST Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Huan Dong ◽  
Zhiguo Liu ◽  
Kai Kong ◽  
Tong Li ◽  
Qianli Ma
Keyword(s):  
Data Envelopment Analysis ◽  
Index System ◽  
Indicator System ◽  
High Tech ◽  
Data Envelopment ◽  
Analysis Method ◽  
Input Output ◽  
Sports Industry ◽  
Industry Environment ◽  
Output Efficiency

This article takes the macro-environmental sports industry as the research object. Firstly, based on the development and characteristics of the sports industry, the article uses the principle of data envelopment analysis to analyze its input and output efficiency and finds out its current problems. In addition, the SWOT analysis method is used to conduct a comprehensive analysis of the external and internal environment influencing the efficiency of the sports industry and propose corresponding development countermeasures. Through the comparison of efficiency evaluation methods, the data envelopment analysis method is proposed to evaluate SWOT efficiency. Secondly, on the basis of pointing out the guiding ideology and basic principles of the evaluation system, four input indicators and four output indicators are specifically selected to form the SWOT input-output indicator system. Thirdly, we introduce the PEST model, focusing on its extended BCC model and use it to make empirical analysis of the SWOT efficiency of regions and provinces. The analysis results show that the efficiency of regional SWOT is not optimal and that there are problems such as input redundancy and insufficient output. Through further analysis, it is concluded that the main reason for the inefficiency of regional SWOT is the unreasonable SWOT input structure and insufficient output value of high-tech industries. We use the analytical framework of this method to clarify the current macro-competitive environment of the sports industry, and use the constructed index system to determine whether the sports industry environment in a region is good or bad. In the selection of indicators, we must carefully analyze their connotations, so that the evaluation index system can accurately evaluate the region’s sports industry environment.

scholarly journals supply chain performance analysis of milkfish using data envelopment analysis method (case study ud. tbs)

2021 ◽  
Vol 4 (2) ◽  
pp. 17-28
Author(s):  
Windi Habsari ◽  
Mohammad Fuad Fauzul Mu’tamar ◽  
Abdul Azis Jakfar
Keyword(s):  
Supply Chain ◽  
Influential Factor ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Analysis Method ◽  
Supply Chain System ◽  
Performance Factors ◽  
Dea Method ◽  
Using Data

An industry's supply chain system must be intensely improved to improve the company's performance. Factors that influence a performance are reliability, responsiveness, agility or flexibility, cost and assets. The performance of milk fish supply chain at UD TBS has not yet been measured by the performance of each distributor, so it is not yet known how effective the performance of the supply chain and the factors that can affect its performance. The purpose of this study was to determine the factors that influence the performance of milk fish supply chains and DMU values by the DEA method. The results showed that the most influential factor was cash-to-cash cycle time (the time needed by the distributor to the company in ordering milkfish. The effectiveness value of 20 distributors was obtained 85% effective (green) and 10% ineffective (amber) and 5% ineffective (red).

scholarly journals Mengukur Tingkat Efisiensi Bank Pembiayaan Rakyat Syari’ah dengan Menggunakan Data Envelopment Analysis (DEA)

2017 ◽  
Vol 12 (2) ◽  
pp. 113-120
Author(s):  
Arif Ramadhan ◽  
Didit Purnomo ◽  
Muhammad Muhtarom ◽  
Chuzaimah Chuzaimah
Keyword(s):  
Data Envelopment Analysis ◽  
Secondary Data ◽  
Fourth Quarter ◽  
Data Envelopment ◽  
Input Output ◽  
Output Variable ◽  
Bank Financing ◽  
Dea Method ◽  
Using Data

The purpose of this study is to analyze the efficiency level of Shari'ah People's Financing Bank (BPRS) in Surakarta City. The data used in this study is secondary data taken from www.ojk.co.id published by each Sharia Bank Financing (BPRS). This research uses input-output variable with Data Evelopment Analysis (DEA) method. The result of the research shows that in Quarter I - Quarter IV there is only one Sharia Bank Financing (BPRS) that experienced inefficiency. Based on the calculation using Data Evelopment Analysis (DEA), in Quarter II - Quarter IV BPRS Central Syari'ah Utama experienced inefficiency, whereas in Quarter I - IV IV BPRS Dana Amanah, BPRS Dana Mulia, BPRS Harta Insan Karimah showed efficiency. The period 2016 Quarter I - fourth quarter IV of Syari'ah People Financing Bank (BPRS) that is BPRS Dana Amanah, BPRS Dana Mulia, BPRS Harta Insan Karimah already 1,000 or experienced efficiency continue to take care during that quarter

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