• Journal of Digital Convergence
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• v.19 no.10
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• pp.339-348
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• 2021

This paper aims to analyze the production efficiency in Korea's ten service sectors using DEA and its determinants utilizing a truncated-Tobit regression model and a censored-Tobit regression model in 2010-2019. This paper found: First, the Korean service sector's production efficiency in general has been significantly low and polarized. Especially, the inefficiency resulted from the scale inefficiency in the 'sewerage waste management industry.' Second, in the determinants analysis, the results show the positive effect of the investment and R&D expenses on technical efficiency, while FDI and lobbying expenses illustrate the negative impact. Moreover, it seems that the larger the industry, the higher the efficiency. Thus, the future Korean government's economic policy for the service sectors requires a mixed and integrated policy of the macroeconomic aspect such as active investment and R&D activities with microeconomic aspect including a convergence of FDI and human capital.

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.284-294
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• 2012

In the study, we estimate efficiencies using CCR model of DEA, Super efficiency(AP) model, and super-SBM model with the data of 32 regional public hospitals in Korea from 205 to 2009. With Wilcoxon-Mann-Whitney statistics, we analyze efficiency differences for environmental factors(regions, type of hospital, type of operations, type of education training, relative importance of madicaids) among regional public hospitals. The results can be summarized as follows. Firstly, technical inefficiencies of regional public hospitals range from 15% to 17% in CCR model, 13% to 15% in AP model, 7% to 12.6% in SuperSBM model. Second, we confirm that environmental factors of hospitals cause different inefficiencies among them. The implication of this study is that policy and institutional change may need to improve the efficiencies along with internal managerial reform.

• Journal of Korean Society of Rural Planning
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• v.5 no.2 s.10
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• pp.66-72
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• 1999

본 연구는 다음의 두 가지 목적이 있다. 첫째, 각종 실증분석에 있어서의 다중모형의 효율성에 대한 소개와, 둘째, 다중모형의 분석에 있어서 상위단계의 예측되는 가치를 측정하기 위한 새로운 통계를 소개하는 데 있다. 다중모형의 이론적 틀은 광범위하게 사용되는 기존의 1단계 모형의 통계적 문제점(이분산 등)을 보완하고, 현실을 더욱 실체적으로 파악한다는 측면에서 앞으로 지역분석의 중추적 틀로서 자리매김하리라 예상되고 있다. 본 연구는 이러한 다중모형의 효율성을 가상 자료가 아닌 실제 자료를 이용하여 검증하였으며, 특히 기존에 제시되지 않은 다중로짓모형에서의 상위수준의 잔차 또는 예측치를 계산하는 통계량을 제시하였다. 이 새로운 통계량은 실증분석에 있어서의 관찰치와의 상관관계와 그 분산의 분석에 있어서 잘 행위하고 있는 것으로 나타났다.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1410-1414
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• 2010

최근 들어 가뭄과 국지성 호우 등의 기상이변이 지속적으로 발생하고 있으며, 이는 국민 삶의 발전과 향상에 밀접한 관계가 있는 것으로 전세계적으로 이에 대한 관심이 증가하고 있는 추세이다. 특히 댐의 효율적 관리와 안정적인 운영은 홍수피해 방지, 안정적인 용수공급과 같은 국민 생활과 밀접한 관계를 가지고 있어 수자원의 효율적인 운영과 이용은 장기적인 관점을 통하여 수립해야 한다. 이와 같이 댐 유입량의 예측은 유출모형의 목적 중 중요한 부분으로 확정론적 모형이 시 혹은 일유량과 같은 매우 짧은 시간의 유출을 예측하는데 주로 사용되지만 이는 매개변수의 추정이 불가능하거나 실제유역에서의 측정이 불가능 할 경우에는 모형적용에 한계가 있다. 이에 반해 추계학적 모형에 의한 유출예측은 장기간의 유출을 과거자료의 통계학적 특성변수를 매개변수로 하여 예측하는 방법으로 모형의 적용에 필요한 매개변수가 적어 그 적용성이 간편한 장점이 있다. 본 연구에서는 계절형 ARIMA모형을 적용하여 과거자료의 적용범위, 매개변수의 산정, 적합성 판정에 대하여 판단하고, 이 모형이 월유입량의 예측에 적합한지를 검토하였다.

• International Commerce and Information Review
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• v.19 no.3
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• pp.45-61
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• 2017

The purpose of this study is to examine the efficiency of Korean companies' entry strategy in India through the DEA model and to review the current status and competitiveness of Korean companies in India. To analyze 112 companies that entered India in analyzing the common variables among the major variables related to Korean companies' entry strategy into India. To measure efficiency, 'DEAR 2.1' An output - oriented CCR model and BBC model were used for the analysis to minimize the input and maximize the output factor. The results of the study on the relative efficiency analysis of the investment strategy of the companies in India are as follows. First, six firm was analyzed efficiently in the CCR model and most firms showed inefficiency in management. Second, even with the BCC model, which represents pure technology efficiency, 103 companies were analyzed efficiently as well. Unlike the CCR, overall technology efficiency of firms was high. Third, as a result of analyzing the efficiency of the scale, it was found that six company showed efficient efficiency, and most of the companies showed inefficiency overall. Companies with inefficiencies should increase efficiency by expanding their scale. Based on the above analysis, it is expected that the companies that will enter India in the future should secure the human and material resources to realize economies of scale considering the number of employees, investment scale, investment type and industry.

• Journal of the Korean Society for information Management
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• v.29 no.1
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• pp.303-329
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• 2012

This study measures the efficiency of public libraries, library services, and management to contribute to the proposed model for efficiency analysis, reflecting the characteristics in public libraries. This analysis model of applying the empirical research pursues the solutions to provide efficiency. Although many attempts have been made domestically and internationally to study the measurement of the efficiency, mere application of analysis techniques used in the other public sectors has led to the inadequate measurement for characteristics of library services. In addition, there has not been any attempt made to deduce a general theory for the study from the measurement results. In this study, an analysis model that reflects the inherent characteristics in library services is suggested to be analyzed empirically, and this leads to the understanding of efficiency factors. The results of the study show that the efficiency of current public libraries can be increased on the basis of input and output. Therefore the commitment to increase the level of output to meet the current need shall continue by the amount, rather than by the commitment to reduce the level of input. Finally, the factors influencing the efficiency are the number of users, the physical environment, professional staffs, events planning, and electronic resources. After analyzing the five factors via multiple regression analysis, three factors such as the number of users, professional staff and events planning proved causal relationship with the efficiency.

• Management & Information Systems Review
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• v.31 no.1
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• pp.273-292
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• 2012

This paper attempts to analyze the efficiency of Korean Materials and Components Industry. 48 sample companies are extracted and efficiency analysis for them are accomplished by using DEA model. We use both CCR-I model and BCC-I model and classify the 48 companies into two groups; efficient and inefficient companies. We find the reference set which inefficient companies should benchmark in order to achieve efficiency and present the improving values for input and output variables. We analyze whether the inefficiencies come from scale or inefficient operation by measuring the scale efficiency. Finally the ranking among the efficient companies is derived through the super-efficiency analysis.

• 한국신재생에너지학회:학술대회논문집
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• 2008.05a
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• pp.103-106
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• 2008

신재생에너지기술 개발인력 확보는 국가 에너지 안보의 확보 및 지속적인 성장을 가능하게 하는 주요 요인이다. 관련 사업추진에 있어 비효율성의 제거와 인적자원 개발 정책의 효과적인 추진을 위해서 신재생에너지 인력양성 사업에 대한 체계적인 성과평가가 요구되고 있다. 본 연구에서는 신재생에너지 인력양성의 평가를 위하여 적용가능한 방법론을 살펴 보았다. 기존 인력양성 방법론의 구분을 수정하여 인력 양성의 평가 방법을 성과점검, 요인통제분석, 사업의 파급효과 산출방법으로 분류하고 각 기준별 세부방법론을 제안하였다. 성과점검 방식에는 단순환산/일반질문법, 요인통제분석에는 AHP-DEA효율성 측정방법, 인적자본 축적모형방법이 포함될 수 있다. 마지막으로 사업의 파급효과 산출방법에는 산업연관분석 방법, 인력양성 산업연관도 작성 방법이 있다. 제안된 모형 중AHP-DEA효율성 측정방법은 신재생 에너지 인력양성 평가에 적용될 경우 DEA 모형의 객관성이라는 특징을 최대한 이용하는 동시에, 한계로 지적될 수 있는 변별력 분제를 체계적으로 보완하기위한 방편으로 AHP를 도입함으로써 적절한 인력양성 평가 방법론으로 적용될 수 있을 것이다.

• Journal of Korean Society of Forest Science
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• v.97 no.4
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• pp.368-373
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• 2008

The objectives of this study were to validate existing growth models of Pinus densiflora and Larix leptolepis grown in Chonbuk regions, and to examine suitability of models to different regions using spatially varied data set. In the valuating model predicted of Pinus densiflora, except to DBH growth model, basal area and height prediction models were biased to fit to different region. And in the valuating predicted height, basal area and DBH model of Larix leptolepis, they were adequate to new data set acquired from different region. Therefore, existing prediction models, except DBH model, of Pinus densiflora have the limitation of practicality that could not be suitable for application to different region. However, owing to high compatibility shown predicted DBH, basal area and height models of Larix leptolepis, they will be adequate to use as the prediction models where data are available around eastern mountain areas of Jeollabukdo.

• Smart Media Journal
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• v.11 no.1
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• pp.9-16
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• 2022

With the development of online commercializing technology and the growth of online market, it has become extremely important for companies that aim to commercialize their products and services to control time and resources. Even when a single company has control over the entire process, it is necessary to maintain the efficiency among the process of development. In particular, when there is a lot of cooperation throughout the course of development, requiring many parties to communicate with each other, the issue of declining efficiency becomes much clearer. The timing of when to launch a product or service has become just as important as completing and testing them for companies. Companies have developed new tools to prevent situations that may lead to inefficiency in the development process, including an increase in the amount of resource used or issues with security maintenance. However, there is a lack of proper measurement tool that assesses what kind of additional benefits the entire process of the company is bringing, or whether or not the processes need to be improved in certain areas. Thus, this study aims to suggest a method to measure efficiency, to provide an empirical efficiency measurement method for the development process of online content.