• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2010년도 춘계학술대회
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• pp.33-48
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• 2010

The purpose of this study is to empirically analyze the productivity change of the 10 Single PPM Certification Company in the 3 Industry(Electronics, Motor-Parts, Machines). In this study, Productivity change over the time in Korean small and medium sized firms in the 3 industries by the bootstrapped Malmquist Productivity Index(MPI). The traditional Malmquist Productivity Index(MPI) and Data Envelopment they could lead to wrong evaluations of the efficiency and productivity scores. In this paper, DEA and a MPI are combined with a bootstrap method in order to provide statistical inferences that analyze the performance of the Single PPM Certification Company. The data cover the period between 2004 and 2007. The result of this paper reveals : 1) The electronic industries(Motor-Parts, Machines). 2) average productivity Progress of the 7DMU(Electronics), 1DMU(Motor-Parts) and none(Machines).

• 품질경영학회지
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• 제38권2호
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• pp.261-275
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• 2010

The purpose of this study is to empirically analyze the productivity change of the 10 Single PPM Certification Company in the 3 Industry(Electronics, Motor-Parts, Machines). In this study, Productivity change over the time in Korean small and medium sized firms in the 3 industries by the bootstrapped Malmquist Productivity Index(MPI). The traditional Malmquist Productivity Index(MPI) and Data Envelopment Analysis(DEA) Models have not only bias but also lack statistical confidence intervals. they could lead to wrong evaluations of the efficiency and productivity scores. In this paper, DEA and a MPI are combined with a bootstrap method in order to provide statistical inferences that analyze the performance of the Single PPM Certification Company. The data cover the period between 2004 and 2007. The result of this paper reveals : 1) The Electronics Industry had productivity effect of 17%, but there was not direct effect for other Industries(Motor-Parts, Machines). 2) average productivity Progress of the 7DMU(Electronics), 1DMU(Motor-Parts) and none(Machines).

• Asia pacific journal of information systems
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• 제26권4호
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• pp.542-560
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• 2016

This study determines whether or not firms can achieve high productivity growth through external technology acquisition. It also identifies the key factors affecting adopting firms' productivity growth by employing the Malmquist productivity index (MPI) methodology, which features computational ease, low data dependency, and decomposition of productivity growth into technical efficiency change and technical change. Results showed that the effects of productivity growth arising from technology transfer became stronger over time. Moreover, patent transfer guaranteed firms' productivity growth, but no evidence was found that factors such as age and size could increase productivity. Finally, cultural similarity could be another factor conditioning the effectiveness of technology transfer in the productivity of adopting firms.

• 한국항해항만학회지
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• 제46권6호
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• pp.547-553
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• 2022

본연구는 2019~2021년 14개 국적 외항 컨테이너 선사의 생산성 변화를 MPI(Malmquist Productivity Index)를 통해 분석하였다. 분석 기간 14개 선사의 MPI는 연평균 38.4% 증가한 것으로 분석되었다. MPI 변화 원인을 살펴보면, TCI(Technical Change Index)는 연평균 58.3% 증가하였으나 TECI(Technical Efficiency Change Index)는 연평균 12.6% 감소한 것으로 나타났다. 이는 선박의 효율성 또는 선대 규모 확대 효과보다는 운임상승에 의한 생산성 향상이 주원인임을 의미한다. 원양 해운선사인 HMM과 SM상선은 타 선사(아시아 역내 선사)와 달리 TECI와 TCI가 모두 생산성 향상에 긍정적인 영향을 미친 것으로 나타났다. 반면, 아시아 역내 선사의 경우 TCI(i.e. 운임상승) 값의 증가에 의한 생산성 향상이며, TECI값 중 SECI(Scale Effieicency Change Index) 값이 낮아 이들 선사는 선대 규모(규모의 경제) 변경에 따른 비용 절감 효과를 거의 누리지 못한 것으로 분석되었다.

• 보건의료산업학회지
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• 제9권3호
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• pp.43-55
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• 2015

Objectives : This study analyzed the managerial efficiency of hospitals and identified the productivity trends for three years. Methods : Data were collected from 44 tertiary hospitals and 32 university hospitals from 2009 to 2011. Efficiency scores and productivity trends were evaluated with the DEA (Data Envelopment Analysis) method. The input variables were the numbers of beds, doctors, nurses, and health personnel, and the medical costs. The output variables were the numbers of outpatients, and inpatients, and the medical revenues. Along with the traditional input-oriented DEA analysis, the Malmquist Productivity Index(MPI) was calculated. Results : First, the mean values of the study variables showed gradual increases in all the variables for all the study years. Second, technical efficiency scores varied depending on the study year. Third, MPI decreased from 2009 to 2010 (MPI=0.986), and then increased from 2010 to 2011(MPI=1.011). The contributions of the Efficiency Change Index and Technical Change Index on the MPI varied depending on the study year. Conclusions : This study provides information to hospital managers about changes in hospital performances. External environments had more influence on hospital performances, and hospital managers will need to manage these influences from factors surrounding the hospitals.

• 한국경영과학회지
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• 제37권4호
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• pp.125-138
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• 2012

Health care that is considered to be one of the major factors for the quality of life is nowadays receiving a great deal of attention, and thus there is a growing need in Korea to identify the efficiency of national medical service and enhance the competitiveness. Although there exist studies on the medical service efficiency about general hospitals and local hospitals, they mostly deal with the efficiency problems from a domestic and regional perspective. In response, this paper analyzes the competitive efficiency of national medical service with respect to 16 OECD countries, by exploiting Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI). Building on the DEA and MPI analysis results, this paper identifies the competitive position of Korean national medical service and suggests implications for the medical service improvement.

• 한국항만경제학회지
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• 제32권3호
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• pp.1-20
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• 2016

본 연구는 세계 20위권 컨테이너항만 중에서 한국과 중국 항만들의 개별 컨테이너터미널을 단위로 SE-DEA와 Malmquist 생산성지수법으로 2012년-2015년 사이의 효율성 및 생산성 변화추이를 분석하고자 하였다. 기존연구들에 비해 본 연구에서는 연구대상의 범위를 항만 내 터미널로 좁혀 더욱 세부적인 분석을 진행하여 실제 운영에 더욱 의미 있는 시사점을 제시하고자 하였다. SE-DEA 분석결과, 기존 연구와 달리 부산항 신항 주요 터미널은 중국 못지않은 효율성 및 생산성을 나타내고 있음을 밝혔다. 또한, Malmquist 생산성지수법 분석결과, 한국터미널의 평균 MPI지수는 1.051로 생산성이 연간 5.1% 향상되었고, 중국 터미널의 평균 MPI지수는 1.049로 생산성이 연간 4.9% 향상되었다. 2012년-2015년 한 중 양국 터미널의 평균 TCI지수는 각각 1.032와 1.0318로 MPI지수 변화에 중요한 요소로 작용하였다. 즉 생산성 제고는 운영효율성 개선보다 장비투입이나 기술개진을 통해 실현하였음을 설명한다. 미래에 경영의사결정을 함에 있어서 적극적인 시장개척을 통한 물량확보 증가와 운영효율성 제고를 통해 생산성을 개선하여야 한다. 향후 연구에서는 방법론의 다양화와 터미널 재무능력, 서비스 수준 등을 고려한 종합적인 효율성 분석이 필요할 것이다.

• 한국항해항만학회지
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• 제44권4호
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• pp.338-346
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• 2020

본 연구에서는 국적외항선사를 대상으로 DEA에 의한 Malmquist 생산성지수를 측정하여 주요 재무비율(수익성, 재무안정성, 유동성, 효율성, 생산성 간에 영향 관계와 판별력을 규명하여 생산성을 개선할 방안을 제시하였다. 2017년에 비하여 2018년에 생산성(MPI)이 증대한 선사보다 감소한 선사가 11개 많다. 생산성 감소는 주로 내부환경의 영향을 받는 기술적 효율성 변화지수(TECI)의 감소가 주요인이며, 생산성이 증대된 선사는 외부환경의 영향을 받는 기술변화지수(TCI)의 증대로 나타나고 있다. 또한 생산성(MPI)과 경영효율성(CRS) 간의 강한 유의적인 상관관계를 보인다. 선사 내부요인에 의한 기술적 효율성변화지수(TEC)는 효율적인 선사가 유의적으로 높은데 순수효율성 변화가 아니고 규모효율성변화의 차이에 기인한다. 용선비/매출 비율은 생산성이 높은 선사(0.17)가 낮은 선사(0.21)에 비하여 낮고, 매출액영업이익률은 MPI>1인 선사는 7%인데 MPI<1인 선사는 1%에 불과하여 용선비 규모와 영업수익성은 생산성과 밀접한 관련이 있는 것으로 판명된다. 따라서 외항선사는 용선비중을 줄이고 내부적인 경영효율 개선을 통한 규모 효율과 생산성을 증대시켜야만 채산성을 높일 수 있는 것으로 확인하였다.

• 보건의료산업학회지
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• 제7권3호
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• pp.225-235
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• 2013

This study purposed to analyze the productivity of regional medical capacity in attracting medical tourist between 2009 and 2011. Data envelopment analysis (DEA) and Malmquist productivity index (MPI) were applied to test the productivity and changes in study periods. The DEA model included a number of doctors, nurses, and beds as input factors, and a number of inpatient and outpatient, and hospital income as output factors. The result of the study were as follow. Jeju had efficiency value of 1 for three years. Seoul, Busan, Daegu, Daejeon, Ulsan, Gyeonggi, Gangwon, Jeonnam, Gyeongbuk, and Gyeongnam showed an increasing trend of efficiency value over three years. Seoul had the efficiency value, 1, in 2011. But, Incheon, Gwangju showed decreasing efficiency score during the study period. MPI showed overall productivity decrease during the period. Further studies will be needed by collecting more time-series data.

• 보건의료산업학회지
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• 제10권2호
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• pp.15-23
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• 2016

Objectives : The purpose of this study was to evaluate the productivity changes of 18 public health centers in Gangwon-do from 2006 to 2013 using the Malmquist Productivity Index(MPI). Methods : Data were collected from Statistics Korea from 2006 to 2013. The input variables were the numbers of medical, nursing and administrative personnels. The output variables were the performances of health promotion programs. Along with the traditional input-oriented DEA analysis, the MPI was calculated. Results : First, among the 18 public health centers, the productivity index of 14 public health centers was increased. Second, the annual productivity showed a 6% increase. Third, the productivity improvements were mainly caused by Scale Efficiency Change. Conclusions : Improving the productivity of public health centers requires the support and external policies of the national and local government. Internally, public health centers need to maintain scale optimization of the center. Additionally, efforts should be made to effectively use limited resources.