• 보건행정학회지
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• 제23권1호
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• pp.78-89
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• 2013

This study empirically analyze efficiency and productivity changes of public hospitals of Korea using data envelopment analysis/Window model and global Malmquist indices model. We use the ten-year data from 2001 to 2010 of 30 regional public hospitals listed database from the Association of Korean Regional Public Hospitals. The main focuses are to reveal whether the technical inefficiency are improved as time goes by, and efficiency and productivity are affected by environmental factors. The results can be summarized as follows. First, the efficiencies of public hospitals rise in trend as time passes. Second, regional public hospitals show the different average efficiencies according to their regional type, hospital type, operational type, medicaid type, and demand and supply conditions by Mann-Whitney U-tests. Third, technical efficiency changes mainly contribute to 4.4% annual average growth rate of productivity of regional public hospitals during that period. Our findings have some policy implications. It is confirmed that there exist some environmental inefficiencies, and those inefficiencies can not be overcome through just improving the inner management system. Thus, policy and institutional changes are necessary for regional public hospitals to improve efficiency and productivity overall.

• 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.

• 한국전자거래학회지
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• 제26권2호
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• pp.45-59
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• 2021

4차 산업혁명의 핵심 동인으로서 Software(이하 SW)의 중요성이 더욱 커짐에 따라, 정부는 국가 경쟁력 강화를 위해 SW R&D 투자를 늘리고 SW 관련 정책을 지속적으로 수립하고 있다. 하지만 SW 연구개발에 대한 정부의 지속적인 투자에 비해, SW 연구개발 투자성과에 대한 체계적 분석은 부족한 실정이다. 본 연구에서는 Data Envelopment Analysis(DEA) 기법을 이용하여 SW 국가연구개발 사업의 분야별 효율성을 분석하였다. 2008년~2018년까지 정보통신산업진흥원(NIPA)에서 수행된 1,463개 과제정보를 토대로 효율성을 정태적/동태적 관점에서 측정하였다. 정태적 관점의 규모효율성 측정을 통해 비효율성 원인을 규모와 기술문제로 분석하였다. DEA/Window 모형을 이용한 동태적 효율성 분석 결과를 제시하고 효율성-안정성 매트릭스를 이용해 분야별 대응 모델을 제시하였다. 본 연구는 SW 국가연구 개발사업 전체를 대상으로 효율성 분석을 수행했다는 점에 의의가 있으며, 정태적/동태적 효율성 분석결과는 향후 SW 국가연구개발사업 기획 시 기초자료로 활용이 가능할 것으로 기대된다.

• 디지털산업정보학회논문지
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• 제15권1호
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• pp.9-20
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• 2019

Korea's R&D investment has significantly increased in recent years. However, the efficiency of R&D investment is still in question. In order to examine the ways to improve the efficiency of R&D investment, this paper presents dynamic analysis on both quantitative and qualitative efficiency of R&D projects. A Data Envelopment Analysis(DEA)/Window method is used to analyze static and dynamic efficiencies of Industrial Material R&D projects in Korea from 2012 to 2016. As a result, statistically significant differences between quantitative and qualitative efficiency have been found. It has been observed that characteristics of Decision Making Units(DMUs) have an impact on both static and dynamic efficiencies. In particular, textile and ceramic projects showed relatively stable qualitative efficiency for a short-term perspective, while steel and chemical projects showed such stability for a long-term perspective. Among the types of project principals, universities showed relatively stable efficiency, compared with private sectors and research institutes. The results of this paper can be used as a guideline to manage the performance and stability of R&D projects' efficiency.

• 경영과학
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• 제32권4호
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• pp.193-207
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• 2015

Government-funded research institutes (GRIs) have played a pivotal role in national R&D in Korea. To achieve desired goals of GRIs with the limited R&D budget, their performance along with time needs to be measured and compared so that appropriate R&D policies can be formulated and implemented. This study measures the dynamic performance of GRIs from the efficiency perspective using the window model of data envelopment analysis (DEA). DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs, and the DEA window model can capture the dynamic changes in efficiency of DMUs during multiple periods. The relative efficiency of GRIs is measured from the two perspectives: R&D and R&BD. Patents, papers, technology transfers are selected as outputs for R&D while compensated technology transfers and technology royalty are employed as outputs for R&BD. This study measures and compares the two types of performance of 20 Korean GRIs under the control of National Research Council of Science and Technology during the period of six years from 2008 to 2013. The results are expected to provide fruitful implications for national R&D policy making.

• 한국병원경영학회지
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• 제15권1호
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• pp.27-48
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• 2010

The purpose of this paper is to analyze the efficiency change and its determinants of the regional public hospitals. We utilize 34 regional public hospital's panel data for 6 years from 2003 to 2008. We use DEA(Data Envelopment Analysis)-CCR, BCC model, DEA/Window model, and DEA Profiling. The empirical results show the following findings. First, technical efficiency shows that approximately 3.6% of inefficiency exists on the regional public hospitals and it reveals that the cause for technical inefficiency is due to scale inefficiency. Second, DEA/Window results show that the stable dissimilarity by standard deviation, LDP of CCR. Third, the results of partial efficiency by DEA Profiling show that increase efficiency depends on the number of beds, doctors, and nurses.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.729-740
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• 2020

The study examines the efficiency of private sector banks in India with the help of Window DEA (Data Envelopment Analysis) for a period from 2005 to 2017. With a window of three years, the period was divided into 11 windows. The study outcomes show that 59.9% of all private sector banks in India operate at more than 0.9 level of efficiency, and there are only three occasions when banks were operating at the efficiency value between 0.6 to 0.7. Further, the consistency in the efficiency scores of the banks has also been analyzed using an efficiency mapping matrix, and the mean efficiency score of the bank in each window is studied. The score of standard deviation was interpreted accordingly for these banks. Banks that are showing the highest efficiency scores also have a higher variance of efficiency scores. There was no bank identified in the matrix that promises high-efficiency ratings with low variability. The study concludes that the analysis of the efficiency mapping matrix indicates that, as a DMU escalates in the efficiency scores, the standard deviation reflecting the risk in overall efficiency scores also tends to rise. The findings complement the concept of higher risk to higher return or greater efficiency.

• 대한교통학회지
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• 제27권3호
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• pp.7-16
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• 2009

우리나라의 교통정책은 도로에 편중되어 있어 상대적으로 철도의 물류기능은 현저히 약화되어 있다. 최근 유가상승 및 환경문제로 인해 철도가 부각되기 시작 했으며 정부 또한 철도에 투자를 많이 하고 있다. 철도는 2005년 철도공사화를 기점으로 철도역사에 큰 획을 그었으며 경영개선을 위해 다각도로 노력하고 있다. 이에 본 연구는 공사화 전, 후의 효율성 추세를 알아보기 위해 우리나라 26개 철도 컨테이너 취급 화물역에 대해 2002년부터 2007년까지 역별 효율성과 효율성의 추세 및 안정성을 분석하였다. 효율성의 추정기법으로서 효율성 분석에 널리 사용되고 있는 DEA-AR(Data Envelopment Analysis-Assurance), DEA-Window 기법을 이용하였다. 효율성 분석결과에 의하면 윈도우2(2003-2005)은 윈도우1(2002-2004)에 비해 약간 효율성이 높아졌다가 이 후 윈도우3(2004-2006)까지 지속적으로 감소하였으며, 윈도우4(2005-2007)에 다시 상승하는 추세를 보여주었다. 전체적으로 효율성이 0.677로 낮은 수준을 보였으나 공사화 이후 경영개선 노력이 반영되는 일정 기간이 지난 후 부터는 효율성이 상승하는 추세를 보였다.

• 한국경영과학회지
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• 제39권3호
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• pp.23-40
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• 2014

This paper measures the operational efficiency of domestic online game companies and analyze its trends and patterns by using data envelopment analysis (DEA). DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs. 14 online game companies are selected as DMUs and three inputs (number of employees, capital and asset) and three outputs (sales, operating profit and net profit) are selected as DEA variables. First, the output-oriented BCC model and super-efficiency model are employed to measure the static operational efficiency of the online game companies from 2003 to 2012. We also conduct the dynamic analysis with DEA window model to capture the trends of their operational efficiency influenced by internal and external environmental changes. The results are expected to provide fruitful implications for strategic decision making of online game companies and policy making for the online game industry.

• 가정간호학회지
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• 제19권1호
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• pp.11-18
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• 2012

Purpose: The aim of this study is to evaluate the efficiency of the outpatient clinics in a hospital, using DEA. Methods: Data were collected using an activity-based costing system, medical information system, and annual reports of customer satisfaction management team of a general hospital in a city. The input variables were the number of doctors, the number of nurses, and the number of staffs. The output variables were the number of treatment times, the number of outpatient clinic patients, the total profits from outpatient clinic, the patient's satisfaction score, and the number of re-visit appointments. EMS Window version 3.1 was used to measure the efficiency score and benchmarking analysis. Results: The average efficiency score of 24 outpatient clinics was about 82.01%. Thirteen outpatient clinics had 100% efficiency score among them. The lowest efficiency score was 57.56%. Conclusion: According to these results, we found that, generally, outpatient clinics were operated very efficiently. However, some outpatient clinics had low efficiency and they needed specialized outcome improvement strategies. To increase the efficiency of inefficient outpatient clinics, we will recommend using results of DEA, as a benchmark point of the most efficient outpatient clinics.