• Journal of the military operations research society of Korea
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• v.36 no.2
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• pp.85-106
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• 2010

Recently, government is endeavoring for Defense Ministry unit's efficiency improvement according as requires low cost, high effectiveness continuously about public sector. But, by real condition that measuring analysis about logistical corps'(LOG) efficient operation is not, this study was done to present method to estimate efficient management availability of logistical corps(LOG). Presents choosing variable that is suitable in Quartermaster Corps' efficiency estimation for this through existing virtue study investigation, and takes advantage of DEA (Data Envelopment Analysis) technique that divert in public sector efficiency measurement, I wish to present plan for inefficient organization's efficiency improvement after evaluate efficiency to Quartermaster Corps.

• Journal of Technology Innovation
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• v.13 no.2
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• pp.207-222
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• 2005

A prerequisite for making R&D more productive is to able to measure its productivity. Most of the previous studies on this topic have attempted to measure R&D productivity at the firm or industry levels. In this study, however, R&D productivity is measured at the national level to provide R&D policy implications, particularly for Asian countries. Contrary to the previous studies where total factor productivity was adopted, this study employs the data envelopment analysis (DEA) approach to measure R&D productivity. DEA is a multi-factor productivity analysis model for measuring the relative efficiency of each Decision Making Unit (DMU). In addition to the basic DEA model that includes all inputs and outputs, five additional models are constructed by combining single input with all outputs and single output with all inputs in order to measure specialized R&D efficiency. In this study, the twenty-seven countries are classified into four clusters based on the output-specialized R&D efficiency: inventors, merchandisers, academicians, and duds. Then, the characteristics of the Asian countries with respect to R&D efficiency are identified. It is found that Singapore ranks high in total efficiency, and Japan in patent-oriented efficiency. Meanwhile, China, Korea, and Taiwan are found to be relatively inefficient in R&D. We expect that the findings from this study will be able to provide directions for R&D policy-making of the Asian countries.

• Korean Journal of Organic Agriculture
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• v.17 no.1
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• pp.19-33
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• 2009

This paper evaluates the technical efficiency of organic farm management practices and studies its main determinants in Hongdongmyeon of Hongsung county, Chungnam province. The analysis is performed in two stages. First, the efficiency is measured via the nonparametric "Data Envelopment Analysis" (DEA) technique. The DEA models are constructed not only to assess the overall technical efficiency of organic fanning practices but also to evaluate the management efficiencies. In a second stage critical determinants of efficiency are determined using a Tobit model. In this analysis the focus is on technical and socio-economic variables. The analytical results show that technically efficient farms is about 13 percent and the mean technical efficiency is found to be 0.73 indicating that many farms are not operating at an efficient scale.

• Korean Journal of Organic Agriculture
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• v.24 no.3
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• pp.385-412
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• 2016

This paper analyzes economic efficiency of strawberries and tomatoes farms using the data envelopment analysis (DEA). We examine how production characteristics and farm size affect overall efficiency (OE), allocative efficiency (AE), and technological efficiency (TE). We also survey sample farm households from the Farm Income Investigation database of Rural Development Administration to investigate management and cultivation techniques and to analyze economic efficiency by technique. Implications for improving efficiency are suggested in the conclusion.

• Korea Journal of Hospital Management
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• v.15 no.1
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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.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.254-254
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• 2017

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.2
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• pp.878-884
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• 2012

This study presents a portfolio selection strategy focusing on construction corporations by taking into accounts managerial efficiency and growth potential of a company. Data envelopment analysis(DEA) methodology and dividend scoring table are adopted for evaluating the managerial efficiency and growth potential of a company respectively. In order to show the effectiveness of the portfolios selected by the strategies proposed in this study, we constructed 3 portfolios for every 4 years (2007-2010) out of 56 listed construction corporations in KOSPI and KOSDAQ, and proved that our portfolios are superior to benchmark portfolios in terms of portfolio evaluation measures.

• Journal of Korea Water Resources Association
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• v.41 no.6
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• pp.597-603
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• 2008

This paper estimates technical efficiency of industrial water in order to afford some information for improving the efficiency of government water management policy. To estimate technical efficiency, this paper uses data envelopment analysis. The result shows that the average pure technical efficiency of industrial water is 0.407. This estimate is less than the estimates when all inputs are considered as variables in the previous researches. This result means that the managers may have not tried to improve the efficiency of industrial water usage since the cost for industrial water is trivial compared to other inputs. In addition, this result shows that the previous researches which assume that all inputs are used in efficient way may give a biased results.

• Journal of the Korean Society for Railway
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• v.12 no.2
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• pp.315-320
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• 2009

In this paper we presents an approach to evaluating the performance of freight railway stations based on several performance indicators as an alternative to the evaluation based on single indicator. Such evaluation needs a way to weight the importance of the individual performance indicator. Data envelopment analysis (DEA) suggested by Charnes, Cooper, and Rhodes (1978) can be used to determine the weights. Using DEA we evaluate 353 freight railway stations based on four performance indicators: loading volume, unloading volume, loading revenue, unloading revenue. The evaluation results facilitates the organization's decision making by providing valuable information.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1764-1776
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• 2014

This study is the context about an introduction of a bookkeeping by double entry & accrual base accounting which is the turning point of National Accounting and defense integrated financial management which is delivered following system Digital Budget Accounting system, in other words about something to do with the improvement of efficiency of financial information data. National defense Integration Financial Information system (NDIFIS) facilitates Project program management and makes the whole process of Defense financial Business manageable in one system. Also, there is a purpose to increase the credibility and transparency of National defense finances by providing internal and external information users with credible financial statements and cost materials. By using data envelopment analysis (DEA) which is a useful method to measuring the efficiency of organization, this study aims to improve the financial information data efficiency by comparing the efficiency of the same type troops and when it comes to the inefficient troops, by offering the certain objective of efficiency.