Measurement Efficiency of Entrepreneurial Universities by Using Mathematical Programming (DEA) Approach

2014 ◽  
Vol 69 (6) ◽  
Author(s):  
Amir Hosein Moradi Deluyi ◽  
Fatemeh Rashed ◽  
Saudah Sofian ◽  
Khadijah Daud
Keyword(s):  
Mathematical Programming ◽  
Risk Taking ◽  
Survey Methodology ◽  
Data Envelopment ◽  
Key Factors ◽  
The Past ◽  
Measuring Efficiency ◽  
Dea Method ◽  
Descriptive Survey ◽  
Measurement Efficiency

Entrepreneurship orientation (EO) approach provides universities with a plan and roadmap for getting over rising uncertainty and complexity. Inspiring universities to embrace transformation and innovation, risk taking and proactive policy for planning and executing development strategies for success in the dynamic competitive environment arise from entrepreneurship orientation spirit. To reach this status, the key factors of success in entrepreneurship should be taken into consideration and assessed in universities. Structural and entrepreneurial policies as key non-financial factors are two concepts that have received considerable attention over the past years. Measuring efficiency of universities by the mentioned factors and using mathematical programming like Data Envelopment Analysis (DEA) method is the aim of this study. Hence, this paper applied DEA method for measuring efficiency of 16 faculties and institutes in Ferdowsi University of Mashhad (FUM) in Iran. Descriptive-survey methodology was used and data were collected through questionnaire survey. The faculties and institutes were ranked based on structural policies and EO through DEA. Finally, the DEA method recommended the development roadmaps template for the 11 faculties and institutes which were inefficient.

Mengukur Tingkat Efisiensi Bank Umum Syariah dengan Metode DEA dan Perbandingan dengan Rasio Keuangan (Studi Kasus: PT Bank Muamalat Indonesia dan PT Bank Mega Syariah)

2020 ◽  
Vol 1 (1) ◽  
pp. 25-48
Author(s):  
Joni Agusah Putra ◽  
Muhammad Doddy
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Financial Ratio ◽  
Dea Model ◽  
Constant Return ◽  
Dea Method ◽  
Measurement Efficiency ◽  
Production Approach

Penelitian ini dilakukan untuk mengukur tingkat efisiensi Bank Muamalat Indonesia (BMI) dan Bank Mega Syariah (BMS). Metode yang digunakan adalah data envelopment analysis (DEA) model constant return to scale (CRS) dan model variabel return to scale (VRS) dengan pendekatan aset dan produksi. Hasil DEA model CRS pendekatan aset dibadingkan dengan rasio ROA sedangkan hasil DEA model VRS pendekatan produksi dibandingkan dengan rasio BOPO.Hasil penelitian ini menunjukkan, pada pendekatan aset BMI cenderung tidak efisien baik dengan model CRS, VRS dan secara skala. Sementara pada pendekatan produksi BMI tidak efisien dengan model CRS tetapi efisien berdasarkan model VRS dan secara skala. Sedangkan BMS cenderung dalam kondisi yang efisien pada pendekatan aset dan produksi baik dengan model CRS, VRSmaupun secara skala selama periode penelitian. Penelitian ini juga menyimpulkan, pengukuran efisiensi dengan DEA menunjukkan hasil yang konsisten dengan rasio keuangan ROA dan BOPO. Sehingga tidak ada perbedaan antara tingkat efisiensi menggunakan metode DEA dengan tingkat efisiensi menggunakan rasio keuangn pada BMI dan BMS selama periode penelitian.Kata Kunci: Efisiensi BUS, DEA, Rasio KeuanganABSTRACTThis research had been done to measure efficiency level Bank Muamalat Indonesia (BMI) and Bank Mega Syariah (BMS). The method tools were analysis envelopment data (DEA) model constant return to scale (CRS) and models variable return to scale (VRS) through asset and production approach. Result DEA model of asset approach CSR was compared to ratio ROA whereas result DEA model of production approach was compared to ratio BOPO. This research indicated that approach asset BMI tended to inefficiency both model CRS, VRS and by scale. Temporary approaching by production BMI in efficiency with model CRS but efficiency based on model VRS and by scale. Whereas BMS tended to be in efficiency to asset and production approach both model CRS, VRS and by scale during period of research. This research was also to conclude measurement efficiency by using DEA showed consistent result with financial ratio ROA and BOPO. So there would not be difference between the level of efficiency by using DEA method with the level of efficiency by using financial ratio at BMI and BMS during period of research.Keywords: BUS Efisiensi, DEA, Financial Ratio

scholarly journals Efficiency assessment of public higher education with the application of data envelopment analysis: The evidence from Poland

2016 ◽  
Vol 4 (2) ◽  
pp. 59-73 ◽  
Author(s):  
Michał Pietrzak ◽  
Piotr Pietrzak ◽  
Joanna Baran
Keyword(s):  
Social Sciences ◽  
Higher Education ◽  
Data Envelopment Analysis ◽  
Empirical Investigation ◽  
Higher Education Institutions ◽  
Data Envelopment ◽  
Public Higher Education ◽  
Efficiency Assessment ◽  
Measuring Efficiency ◽  
Dea Method

Higher education is a form of a merit good. This is why governments usually support the delivery of this good. However, one could doubt the efficiency of such solution. How well do public higher education institutions (HEIs) do their job? How to measure their performance? This paper discusses these issues. First, we discuss the problem of defining and measuring efficiency in the case of publicly held HEIs with particular emphasis put on the Data Envelopment Analysis (DEA) method. Secondly, we present the results of our empirical investigation of efficiency assessed using the DEA method conducted on the sample of 33 Poland faculties specialized in social sciences . We use Charnes-Cooper-Rhodes (CCR) output oriented model with two inputs and three outputs. Next, we present some important differences in efficiency of those faculties. We also define benchmarks for inefficient HEIs and quantify the gaps to be fulfilled by them in order to become efficient. Finally, we pinpoint the directions of further research.

Estimating contractors’ efficiency with panel data

2014 ◽  
Vol 14 (3) ◽  
pp. 274-291 ◽  
Author(s):  
Yat Hung Chiang ◽  
Eddie W.L. Cheng
Keyword(s):  
Construction Industry ◽  
Technical Efficiency ◽  
Design Methodology ◽  
Data Envelopment ◽  
Content Type ◽  
The Past ◽  
Literature Base ◽  
Output Side ◽  
Dea Method ◽  
Practical Implications

Purpose – This paper aims to explore the use of the data envelopment analysis (DEA), Cobb-Douglas and translog production function methods in estimating contractors’ efficiency. Design/methodology/approach – In this paper, the DEA, translog and Cobb-Douglas methods were used to estimate the technical efficiency of 23 contractors in Hong Kong from 2003 to 2009. For this research, four input and three output variables were identified. Findings – The results suggest that the efficiency scores obtained from the DEA method were significantly different from those obtained from the translog and Cobb-Douglas methods, while the efficiency scores from the translog method were similar to those from the Cobb-Douglas method. The DEA method further reveals that the company had poor utilisation of its resources over the past few years. On the output side, the current ratio was too small, implying that the company suffered from excess current liabilities relative to its current assets. Research limitations/implications – Application of efficiency measurement in the built environment is still in its infancy. The current research, therefore, calls for more research to be undertaken to establish the applied literature base for the construction industry. Practical implications – The DEA method helps the inefficient company explore ways to improve the utilisation of the inputs as well as the process and to maximise the outputs. Originality/value – Knowing the relative performance of contractors helps understand their competitiveness in the construction industry. By estimating their technical efficiency, contractors can improve the conditions for enhancing performance.

scholarly journals Efficiency of Financing in Sharia Cooperatives

ETIKONOMI ◽  
2017 ◽  
Vol 16 (2) ◽  
pp. 249-264
Author(s):  
Djaka Badranaya
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Frontier Analysis ◽  
A Value ◽  
Measuring Efficiency ◽  
Dea Method

Efficiency is one of the performance’s indicator in sharia cooperatives. This study uses data envelopment analysis (DEA) method to measure the efficiency of financing sharia cooperatives. DEA is one method of measuring efficiency using frontier analysis that has proven its use. Samples to be used are KJKS Kota Bambu Utara (KBU) and Kota Bambu Selatan (KBS). On average, KJKS KBU has a value high enough efficiency reached 98.7%. Meanwhile, KJKS KBS achieve 100% efficiency. This research has an important role in optimizing the efficiency of sharia cooperative, so that its presence can provide great benefits to society.DOI: 10.15408/etk.v16i2.5437

Identification of Current Best Practices for Short-term Medical Mission Trips and Adherence to Current Common Principles and Guidelines

2020 ◽  
Vol 7 (2) ◽  
pp. 67-82
Author(s):  
Susan Andrews
Keyword(s):  
Best Practices ◽  
Global Health ◽  
Language Proficiency ◽  
Survey Methodology ◽  
Healthcare Providers ◽  
Final Analysis ◽  
Short Term ◽  
Convenience Sample ◽  
Operational Practices ◽  
Descriptive Survey

Background:  Recent reviews of published guidelines for conducting short-term medical missions (STMM) identify significant concerns about the lack of adherence and of formal regulations concurrent with the increasing number of individuals and organizations participating in STMM. Method: A descriptive survey methodology was used. A 44-item survey that identifies current practices utilized by healthcare providers (HCP) who have participated in STMM was used based on the literature and prior research, and distributed electronically to HCP participating in STTM to identify current best practices and compare findings with the most recent recommendations for short-term global health activities. A focus on current operational practices was surveyed and analyzed to develop operational recommendations for the ethical and safe care provided during STMM. Results: Eighty-seven surveys were included in the final analysis, with 33% (N=29) serving as coordinators for the trip. The majority of the respondents were female (67%) and the primary roles represented were: MD (N=17; 20%), nurse practitioner (N=20; 23%), and registered nurse (N=18; 21%). A majority (N=48; 67%) traveled to South America or Latin America, with 38% (N=33) having participated in four or more STMM. Language proficiency was reported as deficient (N=35; 40%) along with little or no knowledge of the basic culture (N=39; 45%). Additional data were collected on trip preparation, clinic operations, and outcomes follow up. Conclusions: Using a convenience sample, the results of the survey provide information on the current best practices utilized by HCP who have participated in STMM and compare the findings to assess for adherence with the most recent recommendations for short-term global health activities. There was variation in the degree to which HCP were knowledgeable about specific aspects related to knowledge of local culture, language proficiency, and adherence to recommended practices for STMM. Additional research on STMM is needed, along with further exploration of how evidence based practices for STMM can be implemented to improve access and safety to the care provided while in the host country.

It was horrible, but we live now

Focaal ◽  
2016 ◽  
Vol 2016 (74) ◽  
pp. 97-110 ◽  
Author(s):  
Lisa J. Krieg
Keyword(s):  
High School ◽  
Field Study ◽  
Key Factors ◽  
Strange Matter ◽  
The Past ◽  
Holocaust Memorial ◽  
Personal Relation ◽  
The Holocaust

Based on an ethnographic field study in a museum and an evening high school in Cologne, this paper discusses experiences of young German adults in everyday encounters with the Holocaust, which are oft en accompanied by feelings of discomfort. Considering the Holocaust as an uncanny, strange matter contributes to understanding that distance and proximity are key factors in creating uncomfortable encounters. Distance from the Holocaust reduces discomfort, but where distance cannot be created, other strategies have to be put to work. This article underlines the significance of experience in an individual’s personal relation to the past for gaining an improved understanding of Holocaust memorial culture in Germany.

scholarly journals Selecting Suitable, Green Port Crane Equipment for International Commercial Ports

2021 ◽  
Vol 13 (12) ◽  
pp. 6801
Author(s):  
Guo-Ya Gan ◽  
Hsuan-Shih Lee ◽  
Yu-Jwo Tao ◽  
Chang-Shu Tu
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Protection ◽  
Green Energy ◽  
Programming Approach ◽  
Data Envelopment ◽  
Container Handling ◽  
Dea Method ◽  
Green Port ◽  
Large Container ◽  
Gantry Cranes

Responding to the increasing global need for environmental protection, a green port balances economic vibrancy with environmental protection. However, because exhaust emissions (e.g., CO2 or sulfide) are difficult to monitor around ports, data on such emissions are often incomplete, which hinders research on this topic. The present study aimed to fill this gap in this topic. To remedy this problem, this study formulated a new data envelopment analysis (DEA) method for collecting CO2 emissions data at their source. This method was applied to collect real-world operating data from a large container-handling company in Taiwan. Specifically, we provide a real example using a novel green energy index to account for undesirable outputs. Our main objective was to formulate two methods that combine: (1) data envelopment analysis based on a modified slack-based measure, and (2) a multi-choice goal programming approach. The contributions of this paper included the finding that rubber-tired gantry cranes are the greenest and should be used in ports. Finally, our findings aid port managers in selecting port equipment that provides the best balance between environmental protection and profitability.

scholarly journals Benchmarking—A Way of Finding Risk Factors in Business Performance

2021 ◽  
Vol 14 (5) ◽  
pp. 221
Author(s):  
Jarmila Horváthová ◽  
Martina Mokrišová ◽  
Mária Vrábliková
Keyword(s):  
Risk Factors ◽  
Data Envelopment Analysis ◽  
Heat Supply ◽  
Business Performance ◽  
Data Envelopment ◽  
Performance Factors ◽  
Best Value ◽  
Target Values ◽  
Dea Method ◽  
Comparison Of The Results

The purpose of this study was to emphasize that the Data Envelopment Analysis (DEA) method is an important benchmarking tool which provides necessary information for improving business performance. To fulfil the abovementioned goal, we used a sample of 48 Slovak companies involved in the field of heat supply. As their position in the economic and social environment of the country is essential, considerable attention should be paid to improving their performance. In addition to the DEA method, we applied the Best Value Method (BVM). We found that DEA is a highly important benchmarking tool, as it provides benchmarks for units that have problems with performance and helps us to reveal risk performance factors. The DEA method also allows us to determine target values of indicators. The originality of this paper is in its comparison of the results of the BVM and the DEA methods.

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