• 한국건설관리학회논문집
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• 제6권1호
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• pp.151-161
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• 2005

본 연구는 자료포락분석(Data Envelopment Analysis, DEA)을 이용하여 국내 건설회사를 대상으로 효율성을 측정하고 효율성의 연도별 추이를 파악하며 개별기업 및 산업차원에서 비효율성에 영향을 미치는 요인을 분석하였다. CCR모형 및 BCC모형을 적용하여 기술적 효율성 및 순수기술적 효율성을 측정하였고 Window분석을 통하여 연도별 효율성의 변화 추이를 파악하였다. 또한 비효율적인 기업을 대상으로 효율적인 기업이 되기 위한 목표치와 참조집합을 예시하였으며 수익성과 효율성의 시계열자료를 이용하여 효율성 측면에서의 선도기업을 도출하였다. 효율성에 영향을 미치는 요인으로 기업집단의 소속여부에 따른 효율성 차이를 검증하고, 매출액 중 건축비중, 토목비중, 외주비율 등과 효율성과의 상관관계를 식별하였다. 이와 같은 분석은 개별 기업의 효율성에 관한 벤치마킹 및 전략목표설정에 기여하며, 산업경쟁력을 높이기 위한 바람직한 정책 수립에 활용될 수 있다.

• 한국간호교육학회지
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• 제26권4호
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• pp.374-382
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• 2020

Purpose: The purpose of this study was to describe the profile of graduates from accelerated second-degree Bachelor of Science in Nursing programs and to analyze the relative efficiency of nursing colleges using data envelopment analysis. Methods: An online survey link was emailed to the deans of nursing colleges, who were then asked to send the link to graduates of the respective colleges. The survey questionnaire included demographics, reasons for applying to the accelerated second-degree Bachelor of Science in Nursing program, employment after graduation, and nursing career satisfaction. Results: Sixty-two graduates of the accelerated second-degree Bachelor of Science in Nursing program responded to the survey. The mean age at admission was 24.28 (± 3.01) years. Reasons for applying to the accelerated second-degree Bachelor of Science in Nursing program were primarily increasing job security and using it as a stepping stone to another career. Nursing career job satisfaction was 4.81 (± 1.07) and more than 82% recommended this program. The data envelopment analysis found the average efficiency score to be 0.84 (± 0.20) and 4 nursing colleges to be relatively efficient. Conclusion: The accelerated second-degree Bachelor of Science in Nursing program can be considered to be an effective means to produce quality nurses with non-nursing bachelor degrees in a short time; however, outcomes of this program need to be systematically monitored to maintain quality level. Through this, competent nurses with knowledge of adjacent studies will be added to the nursing workforce.

• 한국건축시공학회지
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• 제15권2호
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• pp.217-226
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• 2015

본 연구는 비모수적 효율성 분석기법인 자료포락분석을 이용하여 ENR의 'Top 250 Global Contractors 2014'에 포함된 한국 7개 건설기업과 일본 8개 건설기업을 대상으로 14년간(2000년-2013년)의 효율성을 비교분석하여 한국 건설기업의 경쟁력을 평가하였다. 효율성 분석결과, 한국 건설기업은 IT버블붕괴와 글로벌 금융위기의 여파로 효율성이 일시적으로 낮아지기는 하였으나, 2006년 이후부터 2012년까지 일본 건설기업과의 효율성의 차이가 더 심해진 것으로 나타났다. 건설기업별 효율성 분석결과, 2000년에 비해 2013년 한국 건설기업의 효율성은 높아졌으나, 일본 건설기업의 경우, 낮아진 것으로 분석되었다. 이러한 결과는 한국 건설기업은 종업원수와 매출액은 작지만 일본 건설기업보다 효율적으로 운영되고 있다는 것을 의미한다.

• Journal of information and communication convergence engineering
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• 제6권3호
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• pp.323-326
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• 2008

Data Envelopment Analysis (DEA) is a theoretically sound framework for performance analysis that offers many advantages over traditional methods such as performance ratios and regression analysis. Largely the result of multidisciplinary research during the last three decades in economics, engineering and management, DEA is best described as an effective new way of visualizing and analyzing performance data. Besides, overseas information technology companies have aggressively tried to enter the domestic market. In the age of globalization and high competition, it is imperative that the system integration (SI) companies need to introduce the performance evaluation models of SI projects, including Capability Maturity Model and Software Process Improvement and Capability Determination, to gain a competitive advantage. Therefore, it makes our research regarding evaluation of SI projects very opportune. The purpose of the study is not only to evaluate efficiency of each project by DEA but also to gain insight into various factors such as project complexity, team members' man-months structure, and process index(project management index) that link to the projects performance.

• 한국경영과학회지
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• 제41권1호
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• pp.99-111
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• 2016

This paper presents a framework to analyze the change in the research and development (R&D) efficiency of government-funded research institutes (GRIs) in Korea. Cumulative data envelopment analysis/Malmquist index method is utilized to analyze the changes in R&D efficiency of GRIs. Data analysis of the R&D activities of 10 GRIs in Korea Research Council of Fundamental Science & Technology showed that the average R&D efficiency of the 10 GRIs improved from 2009 to 2013. However, the efficiency of a few GRIs decreased in terms of the catch-up index. The proposed framework can help management teams diagnose the current state of R&D activities and determine the efficacy of strategic actions by comparing efficiencies in the past.

• 대한교통학회:학술대회논문집
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• 대한교통학회 2007년도 제57회 학술발표회논문집
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• pp.191-200
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• 2007

• 자원ㆍ환경경제연구
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• 제9권2호
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• pp.349-371
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• 2000

Data Envelopment Analysis model is a linear programming based technique for measuring the relative performance of organizational units where the presence of multiple inputs and outputs makes comparison difficult. A common measure for relative efficiency is weighted sum of outputs divided by weighted sum of inputs. DEA model allows each unit to adopt a set of weight that shows it in the most favorable light in comparison to the other unit. In this paper, we present the mathematical background and characteristics of DEA model, and give a short case study where we apply the DEA model to evaluate the relative efficiencies of 51 global electricity companies. The technical efficiency and scale efficiency are also to be investigated. Generating capacity and the number of employees are used for input data, and revenue, net profit and electricity sales are used for output data. We find that the companies with 100% relative efficiency are only 9 among 51 electricity companies. And the technical and scale efficiency of KEPCO is 98.7% and 78.89%, respectively. This means that the inefficiency of KEPCO is caused by the scale inefficiency. The analysis shows that the employees should be decreased by 15% at minimum to get the 100% efficiency. The result suggests that KEPCO needs the structural reform to improve the efficiency.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2005년도 춘계학술발표회
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• pp.67-72
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• 2005

본 연구는 우리나라 RCC/RSC의 효율성을 2개의 투입자료와 4개의 산출자료를 이용하여 DEA법을 이용하여 측정하였고, 정성적 자료는 전문가로 평가하였다. 또한 이러한 자료를 통합하기 위한 방법은 의사결정지원 시스템인 퍼지로직을 적용하였고, 이 평가방법을 이용하여 RCC/RSC의 운영효율성의 우선순위를 평가하였다. 그 결과 인천, 목포, 제주, 동해, 부산, 포항, 여수, 속초, 통영, 울산, 태안, 군산 RSC 순으로 효율성이 높은 것으로 나타났다.

• Safety and Health at Work
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• 제6권2호
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• pp.77-84
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• 2015

Background: A unique framework for performance optimization of generation companies (GENCOs) based on health, safety, environment, and ergonomics (HSEE) indicators is presented. Methods: To rank this sector of industry, the combination of data envelopment analysis (DEA), principal component analysis (PCA), and Taguchi are used for all branches of GENCOs. These methods are applied in an integrated manner to measure the performance of GENCO. The preferred model between DEA, PCA, and Taguchi is selected based on sensitivity analysis and maximum correlation between rankings. To achieve the stated objectives, noise is introduced into input data. Results: The results show that Taguchi outperforms other methods. Moreover, a comprehensive experiment is carried out to identify the most influential factor for ranking GENCOs. Conclusion: The approach developed in this study could be used for continuous assessment and improvement of GENCO's performance in supplying energy with respect to HSEE factors. The results of such studies would help managers to have better understanding of weak and strong points in terms of HSEE factors.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.555-564
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• 2020

The purpose of this study is to analyze the efficiency of research institutes of futures companies, and to promote the development of futures market and real economy. This study employs DEA-solver software to conduct super-efficiency data envelopment analysis (SE-DEA), and also selects 40 representative futures research institutes in China as decision-making units (DMUs). For data of input and output indicators, we collect from the China Futures Association, Futures Daily, Hexun.com and Webstock.com respectively, and the time duration is the 103 trading days between from October 2019 to February 2020. Then the indicator for the strategy accuracy rate is calculated separately by analyzing the strategies published by each DMUs in public media. In conclusions, most institutes have excessive investment in human resources, and also have insufficient strategy accuracy rate and insufficient published research reports. The findings of this study suggest that Chinese futures companies need to improve the efficiency of research institutes, and better meet the demand of the financial market. In fact, the analysis of the efficiency of the futures company research institute has not been found in the literature worldwide, Application of DEA model in efficiency analysis of securities and futures research institutions and establishment of indicators are the innovations of this paper.