• Journal of Korea Port Economic Association
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• v.26 no.1
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• pp.43-60
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• 2010

The purpose of this paper is to show the clustering measurement way for Korean container terminals by using neural network based SOM(Self Organizing Map). Inputs[Number of Employee, Quay Length, Container Terminal Area, Number of Gantry Crane], and output[TEU] are used for 3 years(2002,2003, and 2004) for 8 Korean container terminals by applying both DEA and SOM models. Empirical main results are as follows: First, the result of DEA analysis shows the possibility for clustering among the terminals and reference terminals except Gamcheon and Gwangyang terminals because of the locational closeness. Second, the result of neural network based SOM clustering analysis shows the positive clustering in clustering positions 1, 2, 3, 4, and 5. Third, the results between SOM clustering and DEA clustering show the matching ratio about 67%. The main policy implication based on the findings of this study is that the port policy planner of Ministry of Land, Transport and Maritime Affairs in Korea should introduce the clustering measurement way for the Korean container terminals using neural network based SOM with DEA models for clustering Korean ports and terminals.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.153-155
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• 2016

국내 컨테이너 터미널을 대상으로 DEA-Malmquist 분석을 이용하여 운영사의 특성별 효율성을 비교하여 분석한다. 운영사는 GTO, Carrier, Domestic으로 구분하여 각 운영적 특성에 따라 시사점 및 결론을 도출한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.60-71
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• 2017

The purpose of this study is to evaluate vertical moving facilities at subway stations for the elderly users and to analyze their improvement measures. To evaluate vertical moving facilities of the top 31 subway stations with the most trips in Seoul, a data envelopment analysis (DEA) is employed. The input variables for the DEA include the number and percentage of elderly users, which are calculated using smart card data. the output variables consist of the number of elevators and escalators per 100 steps. The results show that the average score of 31 subway stations is 0.62 and four stations, i.e., Jamsil, Gasan Complex, Konkuk University, and Dongmyo, have the highest score. These four subway stations are set as benchmarking groups for the other stations with the lower score. Based on the comparison with the benchmarking groups, the improvement measures for vertical moving facilities of each station are suggested and discussed.

• The Journal of the Korea Contents Association
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• v.10 no.5
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• pp.303-313
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• 2010

The purpose of this study is to evaluate the performance efficiency and productivity change of the regional public hospital in Korea. We use DEA(Data Envelopment Analysis) for CCR, BCC model, and MPI(Malmquist Productivity Index). DEA is a useful nonparametric technique for measurement of efficiency of a DMU(Decision Making Unit) and MPI is a evaluation method to measure DMU's productivity change. We utilize 34 regional public hospital's time-series data over 6 years from 2003 to 2008.The results of this study were as follows. First, technical efficiency(TE) 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, MPI's results show that regional public hospital made effort to improve total factor productivity change to raise technical efficiency. In order to raise efficiency, the regional public hospitals should deploy internal innovation and the government should support welfare policies.

• Journal of Digital Convergence
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• v.10 no.4
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• pp.55-62
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• 2012

This paper analyze the DEA(Data Envelopment Analysis) efficiency of government budget to HRD program(ITRC) and correlation and regression between its inputs and outputs in the field of information technology. First, empirical results show that the relationship between the supporting period of government budget and scientific research & HRD outputs is respectively irrelevant. Second, another finding is that the relationship between government budget and HRD output is positive. Finally, DEA efficiency analysis implicates that SW/digital contents, digital TV, information security, intelligence robot, next generation PC, next generation mobile telecommunication, home network, mathematics, IT SoC are more efficient than any other technology fields.

• Industry Promotion Research
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• v.7 no.2
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• pp.1-13
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• 2022

This study of purpose is to examine the efficiency through the current status and performance of each institution providing the Daegu community service investment project, and to find a direction for the efficient operation of each institution. In order to promote efficient and effective project promotion by checking the management status that meets the purpose of the local community service investment project, to provide systematic services necessary to consumers, improve quality, and improve the environment, the accurate situation and situation through the efficiency analysis of the service provider organization It is necessary to identify problems, develop programs suitable for regional characteristics, and actively manage services. Specifically, it seeks to provide a more stable and sustainable local community service by measuring efficiency based on information from each institution and comparing and analyzing it among local governments. For this purpose, it is meaningful in analyzing the efficiency of each institution by using the DEA (data envelope analysis) method and presenting the goals and policy implications for efficient operation by comparing them by local government.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.3
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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.

• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.97-105
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• 2007

• Korea Journal of Hospital Management
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• v.13 no.3
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• pp.69-93
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• 2008

Rising healthcare cost is a global phenomenon that justifies governments' introduction of 'incentive regulation' plan for the improvement of hospital efficiency. A number of previous studies tried to evaluate the efficiency of healthcare organization by using Data Envelopment Analysis(DEA), a common efficiency benchmarking method. However, there is a concern that this kind of efficiency evaluation could induce "quantity-quality trade-off". Moreover, as quality aspect is especially important in terms of 'effectiveness' of health care, it should be considered in efficiency evaluation of healthcare organization. A number of different models were tried so far to incorporate quality aspect into DEA, however, none is universally recognized as a standard. Thus, in this study, previous quality-incorporating DEA models were categorized into 6 types according to the way of incorporating quality aspect, and strengths and limitations of each type were reviewed with a set of artificial data as an example. Based on this review, a new quality-incorporating efficiency evaluation model, named Quality-adjusted output DEA(QAO-DEA), was suggested. As an exploratory empirical analysis, technical efficiency of human resource were measured with different quality-incorporating DEA models, using 2004 data from National University Hospitals. In conclusion, Quality-adjusted output DEA(QAO-DEA) model seems to be one of the most desirable alternatives to incorporate quality aspect in efficiency evaluation of hospital, and deserves the consideration as a policy tool to induce simultaneous improvement of both efficiency and quality.

• Journal of Digital Convergence
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• v.11 no.5
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• pp.159-168
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• 2013

This study analyze the business efficiency of securities company based on the 2011 performance of 29 securities firms which engage in domestic investment brokerage by applying a combination model of BSC and DEA. And we evaluate business state focused on efficiency which is based on logical system of BSC as business innovation method. The analysis of result is that companies with high customer efficiency index appeared that business efficiency composite index tended to be higher and we identified that customer perspective have an important factor to calculate business efficiency composite index of korea security company. In addition, based on the results of the efficiency analysis we analyze correlation analysis between traditional financial ratio and business efficiency composite index. We confirmed that company of high business efficiency level in terms of BSC have a good record in terms of profitability. BSC-DEA combination model expect to be utilized in security industry sector as well as other industrial sectors as good business indicator to determine the business efficiency and to be used a model can be evaluated the integrated firm valuation of tangible and intangible assets.