scholarly journals Data envelopment analysis with upper bound on output to measure efficiency performance of departments in Malaikulsaleh University

2017 ◽  
Vol 890 ◽  
pp. 012102 ◽  
Author(s):  
Dahlan Abdullah ◽  
Saib Suwilo ◽  
Tulus ◽  
Herman Mawengkang ◽  
Syahril Efendi
Keyword(s):  
Data Envelopment Analysis ◽  
Upper Bound ◽  
Data Envelopment ◽  
Efficiency Performance

scholarly journals Evaluating 3D Printers Using Data Envelopment Analysis

2021 ◽  
Vol 11 (9) ◽  
pp. 4209
Author(s):  
Theodore Papatheodorou ◽  
John Giannatsis ◽  
Vassilis Dedoussis
Keyword(s):  
Data Envelopment Analysis ◽  
Fused Deposition Modeling ◽  
Production Systems ◽  
Manufacturing Sector ◽  
Data Envelopment ◽  
Programming Technique ◽  
Fused Deposition ◽  
Efficiency Performance ◽  
3D Printers ◽  
Using Data

Data Envelopment Analysis (DEA) is an established powerful mathematical programming technique, which has been employed quite extensively for assessing the efficiency/performance of various physical or virtual and simple or complex production systems, as well as of consumer and industrial products and technologies. The purpose of the present study is to investigate whether DEA may be employed for evaluating the technical efficiency/performance of 3D printers, an advanced manufacturing technology of increasing importance for the manufacturing sector. For this purpose, a representative sample of 3D printers based on Fused Deposition Modeling technology is examined. The technical factors/parameters of 3D printers, which are incorporated in the DEA, are investigated and discussed in detail. DEA evaluation results compare favorably with relevant benchmarks from experts, indicating that the suggested DEA technique in conjunction with technical and expert evaluation could be employed for evaluating the performance of a highly technological system, such as the 3D printer.

Modeling Efficiency Performance of Malaysian Commercial Banks Using Data Envelopment Analysis

2018 ◽  
Vol 24 (6) ◽  
pp. 4612-4618
Author(s):  
Norsyuhada Johan ◽  
Zalina Zahid ◽  
Siti Aida Sheikh Hussin
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Banks ◽  
Data Envelopment ◽  
Efficiency Performance ◽  
Using Data

scholarly journals MEASURING TECHNICAL EFFICIENCY OF MALAYSIAN REAL ESTATE INVESTMENT TRUSTS: A DATA ENVELOPMENT ANALYSIS APPROACH

2019 ◽  
Vol 17 (9) ◽  
Author(s):  
Nor Nazihah Chuweni
Keyword(s):  
Data Envelopment Analysis ◽  
Real Estate ◽  
Technical Efficiency ◽  
Economies Of Scale ◽  
Efficient Frontier ◽  
Data Envelopment ◽  
Real Estate Investment ◽  
Nonparametric Approach ◽  
Efficiency Measures ◽  
Efficiency Performance

The research examines the technical efficiency (TE) and economies of scale for the Malaysian Real Estate Investment Trust (M-REITs) from 2010 to 2014, using a non-parametric approach of Data Envelopment Analysis (DEA). The nonparametric approach of Variable Return to Scale DEA (VRS-DEA model) was used to estimate the efficiency scores for M-REITs. The negative inefficient value for the technical inefficiencies is identified as a result of both poor input utilisation (managerial inefficiency) and failure of M-REITs to operate at optimum scale (scale inefficiency). The mean technical efficiency (TE) measures ranged from as low as 41.70% in 2011 to as high as 84.30% in 2014. Despite having the Sharia requirement, Islamic REITs in Malaysia provide an effective investment opportunity evidenced by the higher scores for all efficiency measures, as compared to conventional REITs for the period under study. Pure technical inefficiency has a greater deviation in the efficient frontier than scale inefficiency, suggesting that M-REITs inputs are not fully minimised to produce more outputs. With regard to scale inefficiency, M-REITs are operating at economies of scale, indicating the importance of expansion or growth to improve on efficiency performance. This will then allow M-REIT managers to formulate better strategic investment decisions.

scholarly journals Efficiency versus Maqashid Sharia Index: an Application on Indonesian Islamic Bank

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Aam S. Rusydiana ◽  
Irman Firmansyah
Keyword(s):  
Data Envelopment Analysis ◽  
Banking Industry ◽  
Islamic Banking ◽  
Data Envelopment ◽  
Bank Efficiency ◽  
Islamic Bank ◽  
Market Inefficiency ◽  
Efficiency Performance ◽  
Dea Efficiency ◽  
Dea Method

The Development of Islamic Banking Industry in Indonesia relatively shows a good tendency. In the market, inefficiency would be the great obstacles in head to head to conventional bank. Despite of efficiency performance in Islamic Bank, Islamic Bank also must have sharia compliance performance. So it needed to identified the efficiency of Islamic Bank in Indonesia and the achievement of Maslahah in term of three aspects, there are education, the creating of justice, and the attainment of welfare. This study would try to measure the efficiency of Islamic Banking Industry with Data Envelopment Analysis (DEA) method and also to evaluate the performance by using Maqasid Sharia Index (MSI). Banxia Frontier Analyst 3.1 used in the data calculation. The calculation of the level of Islamic Bank efficiency in this study are relative, not absolute. Result of this study indicate four main findings, first, Islamic bank involve in quadran 1 is Islamic bank who reached the highest efficiency and the best performance; there are BMI and Bank Panin Sharia. Islamic bank involve in quadran 2 is Islamic bank who reached the highest efficiency and the lowest performance, there are BSM, Maybank Sharia, and Bank Sharia Bukopin. Islamic bank involve in quadran 3 is Islamic bank who reached the lowest efficiency and have a good performance, there are BRI sharia, and BCA sharia. Islamic bank involve in quadran 4 is Islamic bank who reached the lowest efficiency and the lowest performance, there are Bank Mega Sharia, Victoria Sharia, BNI Sharia, and BJB Sharia.Keywords: Maqasid Index, Efficiency, DEA, Efficiency-Maqasid Quadrant (EMQ) 

scholarly journals Determinants of Cost Efficiency of Takaful and Conventional Insurance Firms of Pakistan

2018 ◽  
Vol 4 (2) ◽  
pp. 331-340
Author(s):  
Muhammad Abbas ◽  
Allah Bakhsh Khan ◽  
Salman Abbasi ◽  
Zeeshan Mahmood
Keyword(s):  
Data Envelopment Analysis ◽  
Equity Capital ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Fixed Assets ◽  
Efficiency Performance ◽  
Dea Efficiency ◽  
Insurance Firms ◽  
Input Variables ◽  
Tobit Regression Analysis

This study investigates the Efficiency Performance of Takaful and Conventional Insurance Firms of Pakistan in terms of Cost, Allocative and Technical efficiencies for the period of 2010-2015. Six years panel data of Takaful and listed Conventional Insurance Firms of Pakistan is taken under consideration. The Methodology of Data Envelopment Analysis (DEA) is used in order to estimate efficiencies scores. Furthermore, Tobit Regression Analysis is carried out for determination of the real contributors of efficiencies in Insurance and takaful Industry of Pakistan. In Data Envelopment Analysis, Labor, Total Fixed Assets and Total Equity Capital are used as input variables. Simultaneously, the price variables are used along with input variables such as Price of Labor, Price of Total Fixed Assets and Price of Total Equity Capital. The output variables include Invested Assets, Investment Incomes and Net Premiums. In second Stage Analysis (i.e. Tobit regression), DEA efficiency scores are used as dependent variable, whereas Age, Size, and Leverage are used as independent variables along with the dummy for conventional and Takaful firms of Pakistan. This study found that Takaful and insurance firms have been operating on almost equal efficiency levels. Furthermore LEVERAGE is the main contributor for efficiency optimization, followed by the firm SIZE, whereas, firm’s AGE has no contribution in efficiency scores.

scholarly journals Analysis of the efficiency of insurance companies in Indonesia

2022 ◽  
Vol 11 (2) ◽  
pp. 105-112
Author(s):  
Zaenal Abdin ◽  
R. Mahelan Prabantarikso ◽  
Edian Fahmy ◽  
Ahmad Farhan
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Banking Sector ◽  
System Stability ◽  
Insurance Companies ◽  
Positive Trend ◽  
Data Envelopment ◽  
General Insurance ◽  
Parametric Data ◽  
Efficiency Performance

Financial system stability is not only supported by the banking sector, but also the role of insurance companies that operate efficiently. The study aims to analyze the efficiency performance of general insurance companies using two stages of data envelopment analysis during the 2017 – 2018 period. The first stage of efficiency measurement using a non-parametric data envelopment analysis (DEA) approach shows the efficiency level of general insurance companies experiencing a positive trend. The performance of general insurance companies in 2018 was more efficient than in 2017 based on the value of technical efficiency (CRS) and the value of pure technical efficiency (VRS). This means that in general there has been an increase in the efficiency of general insurance companies in Indonesia from 2017 to 2018. Testing the efficiency determinants in the second stage using the Tobit regression model found that the cost ratio is the only factor that significantly influences the efficiency level of general insurance companies in Indonesia. Meanwhile, company ownership and investment adequacy ratio have no significant effect on the efficiency level of general insurance companies in Indonesia. The results of the study provide recommendations to the management of general insurance companies that efficiency performance has not reached the maximum, and to improve it, it is necessary to control costs without disturbing routine operations and development activities.

scholarly journals The Efficiency Performance of Global Islamic Banks

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Norlina Kadri ◽  
Rossazana Abdul Rahim ◽  
Dyg Siti Zahrah Abg. Abdillah
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Banking Sector ◽  
Scale Efficiency ◽  
Islamic Banking ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Technical Inefficiency ◽  
Efficiency Performance ◽  
Dea Approach

This paper examines the efficiency performance of the Islamic banks that consist of 14 countries namely Bahrain, Bangladesh, Iran, Jordan, Kuwait, Lebanon, Malaysia, Pakistan, Qatar, Saudi, Tunisia, Turkey, UAE, and Yemen during the period of 2004-2011 with 44 Islamic banks involved. The efficiency estimates of individual banks are evaluated using the Data Envelopment Analysis (DEA) approach. The empirical findings suggest that during the period of study, pure technical efficiency outweighs scale efficiency in the global Islamic banking sector implying that the Islamic banks have been managerially efficient in exploiting their resources to the fullest extent. The empirical findings seem to suggest that the global Islamic banks have exhibited high pure technical efficiency. During the period of study it is found that pure technical efficiency has greater influence in determining the total technical inefficiency of the Global Islamic banking sectors.

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