• 한국유기농업학회지
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• 제23권4호
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• pp.615-641
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• 2015

This study analyzes an economic efficiencies of apples, pears, and grapes farming. We evaluate an annual economic overall efficiency (OE), allocative efficiency (AE), technology efficiency (TE), pure technology efficiency (PTE), and scale efficiency (SE) using data envelopment analysis (DEA). We also measure returns to scale of farms, and the change of technical efficiency of frontier farms. Lastly we estimate the effects of some explanatory variables on allocative, pure technical, and scale efficiencies.

• 한국도서관정보학회지
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• 제41권4호
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• pp.35-50
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• 2010

본 연구는 대전 지역에 소재하고 있는 15개 공공도서관을 대상으로 DEA 모형을 사용하여 2008년도 공공도서관의 상대적 효율성을 분석하고 이어서 최근 3년간의 추세변화를 분석하였다. 투입요소로는 직원수, 면적, 장서수가 사용되었으며 산출요소로는 이용책수와 이용자수가 사용되었다. 연구결과, 기술효율성 값의 추세변화를 분석해 보면 3년간 지속적으로 효율성이 개선되었으며, 기술효율성의 개선은 순수 기술효율성과 규모 효율성 둘 다의 개선에 있었다.

• 보건행정학회지
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• 제6권2호
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• pp.1-13
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• 1996

To evalate the efficiency of public and private hospitals, the author used Data Envelopment Analysis(DEA), a mathematical linear programming method calculating the of ficiency of a unity(DMU: Decision Making Unit) in relation to the other units in analysis. DEA was applied to thirty three (10 public and 23 private) general hospitals wiwith 160 to 299 beds. In respect to productivity, public hospitals appeared to be a little more efficient than private ones, even though it's statisticansignificant. However, the efficiency score for profitability conversed that these contrary results were due to the caring of more medical protection patients in public hospitals, who brought less revenlue to te hospital than other patients. Public hospitals' superiority to private counterparts in productivity, which are aguged mainly based on cared patients, suggests that the former contributes so much positively to social utility. In particular, the fact that public hospitals are caring more medical protection patients, namely the poverty group whom the society should bear a burden of by all means, seems to be desirable in respect of role of publi hospitals.

• 산업경영시스템학회지
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• 제31권2호
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• pp.51-60
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• 2008

A solution method for fuzzy linear programs is proposed. A fuzzy linear program is converted to a crisp linear program with average indices being applied to the objective function and constraints. A comparative analysis between the proposed average index approach and the possibilistic approach is given. As an application example, the proposed method is applied to the linear programming model for fuzzy data envelopment analysis, and the result is compared with that of the possibilistic approach.

• 대한안전경영과학회지
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• 제15권1호
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• pp.249-258
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• 2013

Data Envelopment Analysis (DEA) is a useful tool to analyze the relative efficiency of decision making units (DMU) characterized by multiple inputs and multiple outputs. This method has been popularly used as an analytical tool to suggest some strategic improvement. To do this, the results of DEA provide decision makers with a single efficiency score, efficient frontier, return to scale, benchmarking decision making units, etc. The purpose of this paper is to evaluate research performance of 38 universities and provide an inefficient university with the way of organizational changes to be an efficient university by using DEA. Various input and output variables are used to identify technical and scale inefficiency. Additionally, we analyze how an inefficient DMU could be changed an efficient DMU based on a case university. This result will give an insight of constructive directions for increasing of research performance to university decision makers.

• 한국병원경영학회지
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• 제4권2호
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• pp.219-241
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• 1999

This study used the Data Envelopment Analysis, a mathematical linear programming method, to evaluate cost efficiency of hospitals in Korea. DEA method was applied to 244 hospitals: 31 bankrupt hospitals and 213 survived hospitals. Among the 213 sound hospitals, 11 hospitals showed efficiency score 100, but more than 40 hospitals recorded efficiency scores lower than 60. This result implies that more hospitals can be bankrupt in the restructuring process of the industry within 1-2 years. Among the 31 bankrupt hospitals, the highest technical efficiency score was 0.821 and 11 hospitals showed technical efficiency lower than 0.6. This implies that selective financial support based on cost efficiency by the government will be valuable to prevent bankruptcy of these hospitals. The logistic analysis showed statistically significant relationship between bankruptcy and efficiency of hospitals in Korea.

• 수산경영론집
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• 제52권3호
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• pp.15-25
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• 2021

Base on the survey and financial statement on fish-paste processing company, this study aimed to estimate management efficiencies of fish-paste processing management using a data envelopment-analysis (DEA), In-depth interview and to find out their determinants. Model results show that the estimated mean management efficiencies obtained for the VRS and CRS DEA are 83.7% and 89.1%. In-depth interview results also show that efficiencies caused by scale of technical matter was greater than efficiencies caused by the scale of the company. Thus it implies that technical development is essential for achieving high-efficiency of fish-paste processing company more than expanding the size of company.

• 디지털융복합연구
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• 제12권12호
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• pp.571-580
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• 2014

우리나라의 상수도 사업은 규모의 영세성, 지역에 따른 경영과 서비스의 불균형, 지역 간 수자원의 이용 및 관리에 있어 불합리한 문제점 등 취약한 산업구조로 인해 효율이 낮은 실정이다. 본 연구에서는 자료포락분석(data envelopment analysis)을 활용한 효율성 분석 및 맘퀴스트(Malmquist) 지수 그리고 통계적 방법을 통해 전라북도 지방상수도 사업소의 생산성 변화를 탐색적으로 파악해 보았다. 그 결과 규모 효율성이 1인 사업소가 6개로 나타났으며, 주로 군 단위 사업소에서 평균 이하의 생산성지수를 보임으로써 이들 사업소들은 생산성 증가를 위한 노력을 경주할 필요가 있음을 알 수 있었다. 본 연구는 DEA뿐만 아니라 맘퀴스트 생산성 분석을 통하여 생산성의 변화를 측정한다는 점에서 선행연구들과 차별화되는 바, 전라북도 지역 상수도 부문의 효율성을 제고하는데 기여할 것으로 사료된다.

• 아태비즈니스연구
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• 제6권2호
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• pp.1-17
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• 2015

This study compares the most widely used parametric and non-parametric techniques to measure cost and profit efficiency of banks, namely the Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA). We formulate the specification form of both stochastic cost and profit frontier models and constant return to scale Cost DEA and Profit DEA models and provide an empirical assessment of the cost and profit frontiers based on a panel dataset of National Commercial Banks (NCBs) and Private Banks (PBs) in Bangladesh over the 2001-2010 period. The cost inefficiency and profit efficiency are slightly higher for PBs than NCBs in case of both SFA and DEA. The coefficients of advance and off-balance sheet items are significant that positively influence the banks in stochastic cost frontier model while the advance, other earning assets, price of borrowed fund are significant and negative effects on the banks in stochastic profit frontier model. The average cost inefficiency and average profit efficiency are recorded with 16.3% and 91% respectively. The highest and lowest cost inefficiency are observed for Janata Bank and United Commercial Bank Limited whilst the highest and lowest profit efficiency are recorded for Eastern Bank Limited and Janata Bank respectively. The average technical and allocative efficiency are 68.8% and 35.9%, respectively in case of CRS cost-DEA model whereas they are 70.3% and 31.8% in case of CRS profit-DEA model. The average cost inefficiency is recorded 6.3% by SFA whereas it is 24.5% by DEA. The average profit efficiency is found 91% by SFA while it is 22.1% by DEA, and SFA method shows better bank efficiency than DEA.

• 산업경영시스템학회지
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• 제40권3호
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• pp.7-17
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• 2017

Loan consultants assist clients with loan application processing and loan decisions. Their duties may include contacting people to ask if they want a loan, meeting with loan applicants and explaining different loan options. We studied the efficiency of service quality of loan consultants contracted to a bank in Korea. They do not work as a team, but do work independently. Since he/she is not an employee of the bank, the consultant is paid solely in proportion to how much he/she sell loans. In this study, a consultant is considered as a decision making unit (DMU) in the DEA (Data Envelopment Analysis) model. We use a principal component analysis-data envelopment analysis (PCA-DEA) model integrated with Shannon's Entropy to evaluate quality efficiency of the consultants. We adopt a three-stage process to calculate the efficiency of service quality of the consultants. In the first stage, we use PCA to obtain 6 synthetic indicators, including 4 input indicators and 2 output indicators, from survey results in which questionnaire items are constructed on the basis of SERVQUAL model. In the second stage, 3 DEA models allowing negative values are used to calculate the relative efficiency of each DMU. In the third stage, the weight of each result is calculated on the basis of Shannon's Entropy theory, and then we generate a comprehensive efficiency score using it. An example illustrates the proposed process of evaluating the relative quality efficiency of the loan consultants and how to use the efficiency to improve the service quality of the consultants.