• Journal of Korean Library and Information Science Society
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• v.40 no.1
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• pp.253-274
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• 2009

Data Envelopment Analysis(DEA) model is a linear programing based technique for measuring the relative performance of organizational units where the presence of multiple inputs and outputs makes comparison difficult. DEA model allows each unit to adopt a set of weight that shows it in the most favorable light in comparison to the other units. The purpose of this study was to evaluate the performance of the libraries of national university in terms of relative efficiency, measured by the method of DEA. Twenty six libraries of national universities in Korea were used to analyze. The number of employees, size of library, budget, and number of books were used for input data, and the number of visitors, number of loan books, and number of books for lending and borrowing were used for output data. We found out that number of libraries with 100% relative efficiency among 26 libraries from 2005 to 2007 were only 9, 9 and 10, respectively. Moreover most of the libraries need to increase outputs and decrease inputs in order to improve efficiency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8378-8385
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• 2015

The interest of global competitiveness for national defense industry. This study analyzes the efficiency and productivity of 45 defense companies in each continent(North America, Europe and Northeast Asia, etc.), including Korea defense companies. It is analyzed by Data Envelopment Analysis(DEA) and Malmquist Productivity Analysis over the period 2009-2013(5 years). The sample companies has been selected on the data avilability among the SIPRI Top 100 arms-producing and military services companies in the world(excluding China) in 2013. It extracts the relative efficiency and Malmquist productivity index of companies and each continent. Based on the DEA and MPI results, this paper estimates the global competitiveness and position of national defense industry and extracts implication. This study can be utilized for improvement of national defense industry and policy planning for cultivating the national defense companies.

• The Journal of the Korea Contents Association
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• v.12 no.3
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• pp.181-189
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• 2012

This research focus on Community Culture Center's efficiency according to the regional and operating subject in Capital region. Recently the importance and potential market of cultural industry is growing. In addition, as a basis for local cultural industries, the importance of Community Culture Center has been highlighted. Therefore, for the activation of cultural industry, Community Culture Center on the efficiency of the operation should be reconsidered. To analyze Community Culture Center, using DEA, the efficiency of public organizations tool, which focus on operational efficiency. Depending on the results of analysis, Seoul, Incheon and Gyeonggi province was able to confirm their efficiency. In addition, according to the Direct Operating, Industrial Operating, Foundation, Private Consignment Agency their efficiency showed significant results. Looking at regional Community Cultural Centers in Seoul and Gyeonggi Province will see that two are operating efficiently. On the other hand, the Community Cultural Center in Incheon was not efficiency. Looking at the operating entity basis, Direct Operating Agencies and Industrial Operating Agencies were operating efficiently. On the other hand, Foundation Act of agencies and Private Consignment Agencies have been operating relatively inefficiently.

• Journal of Navigation and Port Research
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• v.36 no.6
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• pp.527-534
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• 2012

In order to achieve sustainable growth and gain competitive advantages business performance should be monitored regularly by a company. In the port industry container terminal operators are facing growing competition. A large scale of new container terminals are constructed and the number of new container terminal operators are increasing. Container shipping lines are gaining bargaining power against terminal operators in terms of negotiating terminal usage. The competitive environments result in reduced cargo handling charges and poor financial performance of container terminal operators. It becomes very important to examine how efficiently container terminal operators are operating their terminals and how to improve their performance. This paper investigates the measurement efficiency for container terminal operators in Korea using Data envelopment analysis(DEA) of DEA-CCR and DEA-BCC Model. This paper finds out which container terminal operators are inefficient and how to improve their management efficiency.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.611-620
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• 2014

This research analyzed the operation efficiency and influence factors of housing facilities for the severely disabled in Jeolla region by using the DEA model. First, the analysis of efficiency for 2012 was carried out using the CCR model. As a result, 12 DMUs were proved to be efficient, and the average efficiency of CCR was 0.85, confirming that the efficiency of all DMUs were satisfactory. Second, regression analysis was carried out to analyze the factors affecting the efficiency of the DEA model by using the Tobit model. In this case, the inputs and calculated variables were set as independent variables whereas the efficiency as the dependent variable. As a result, the detailed variables had a low significance; the overall input variables showed a negative influence while the calculated variables tended to be a positive influence. In terms of operation efficiency, there was no meaningful result in input variables besides the number of workers. Instead of expanding the input variables, the following should be made for housing facilities of the severely disabled; more efforts should be put in to improve welfare service delivery system and operating environment and structure, and the program must be supplemented as well.

• Journal of the military operations research society of Korea
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• v.34 no.1
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• pp.61-77
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• 2008

Data Envelopment Analysis(DEA) is a promising methodology to evaluate the relative efficiency of the decision-making units. We have compared the efficiency of six electric power generation companies in Korea using DEA. The analysis results by input-oriented CCR and BCC models are summarized as follows: first, different results were acquired between using input factors as total capacity of generators and as sub-totals of generator capacity based on primary energy sources. It is the result influenced by input factors which are characterized by the proportion of fixed costs(generating facilities) and variable costs(generation costs for primary energy), Second, the efficiency will be increased if the input factors selected, according to primary energy sources discussed in this research, are used during long-term expansion of electric power capacity plans. It is expected that this approach can give a feedback for management of electric power generation companies.

• Journal of Korea Port Economic Association
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• v.23 no.2
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• pp.109-120
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• 2007

The purpose of this paper is to verify the two problems(normalization for the different inputs and outputs data, translation invariant for the negative data) which will be occurred in measuring the seaport DEA(data envelopment analysis) efficiency. The main result is as follow: Normalization and translation invariant in the BCC model for measuring the seaport efficiency by using 26 Korean seaport data in 1995 with two inputs(berthing capacity, cargo handling capacity) and three outputs(import cargo throughput, export cargo throughput, number of ship calls) was verified. The main policy implication of this paper is that the port management authority should collect the more specific data and publish these data on the inputs and outputs in the seaports with consideration of negative(ex. accident numbers in each seaport) and positive value for analyzing the efficiency by the scholars, because normalization and translation invariant in the data was verified.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.4
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• pp.853-862
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• 2021

Today, disturbance and paralysis of information and communication infrastructure by electronic infringement of national infrastructure is emerging as a threat. Accordingly, the government regularly implements the vulnerability analysis and evaluation system of major information and communication infrastructure to protect the information system and control system of major infrastructure, and invests increased human and material resources every year to efficiently operate it. However, despite the government's efforts, as infringement accidents and attempts targeting national infrastructure continue to occur, the government's resource input to prepare the information protection foundation has little effect on the information protection activity result calculation, making the evaluation system not efficient. The question arises that it is not. Therefore, in this study, we use the DEA model to review the efficient operation of the vulnerability analysis and evaluation system for major information and communications infrastructure, and suggest improvement measures to enhance the level of information protection based on the analyzed results.

• Journal of Korea Port Economic Association
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• v.33 no.2
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• pp.53-82
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• 2017

The purpose of this study is to show the clustering trend and compare empirical results, as well as to choose the clustering ports for 3 Korean ports (Busan, Incheon, and Gwangyang) by using meta-frontier DEA (Data Envelopment Analysis) and integer models on 38 Asian container ports over the period 2005-2014. The models consider 4 input variables (birth length, depth, total area, and number of cranes) and 1 output variable (container TEU). The main empirical results of the study are as follows. First, the meta-frontier DEA for Chinese seaports identifies as most efficient ports (in decreasing order) Shanghai, Hongkong, Ningbo, Qingdao, and Guangzhou, while efficient Korean seaports are Busan, Incheon, and Gwangyang. Second, the clustering results of the integer model show that the Busan port should cluster with Dubai, Hongkong, Shanghai, Guangzhou, Ningbo, Qingdao, Singapore, and Kaosiung, while Incheon and Gwangyang should cluster with Shahid Rajaee, Haifa, Khor Fakkan, Tanjung Perak, Osaka, Keelong, and Bangkok ports. Third, clustering through the integer model sharply increases the group efficiency of Incheon (401.84%) and Gwangyang (354.25%), but not that of the Busan port. Fourth, the efficiency ranking comparison between the two models before and after the clustering using the Wilcoxon signed-rank test is matched with the average level of group efficiency (57.88 %) and the technology gap ratio (80.93%). The policy implication of this study is that Korean port policy planners should employ meta-frontier DEA, as well as integer models when clustering is needed among Asian container ports for enhancing the efficiency. In addition Korean seaport managers and port authorities should introduce port development and management plans accounting for the reference and clustered seaports after careful analysis.

• Korean Journal of Occupational Health Nursing
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• v.11 no.2
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• pp.108-120
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• 2002

This study analyzed the managerial efficiency of 11 organizations, the branch centers of a occupational health service organization in Korea, using the Data Envelopment Analysis (DEA) method. The DEA is a good method for evaluating health services since it can handle multiple inputs and outputs simultaneously, and also identify the sources and amount of inefficiency. The author approached this study using two efficient models: the monetary value model and the real value model. The DEA method based on the monetary value model included cost factors, while the real value model excluded cost factors. The input variables used were manpower of physicians, medical technicians, nurses, industrial hygienists and administrators; labor, maintenance, and material expenses. The output variables used were the number of medical examinations, workplace evaluations, group health management services and income from each service. The major results were as follows: First, in the monetary value model, 6 out of 11 organizations (54.6%) showed an efficiency score of 1.0, which means that they have been operating in very efficient ways. However, 5 organizations (46.4%) showed themselves to be relatively inefficient. Second, in the real value model, 7 out of 11 organizations (63.4%) showed an efficiency score of 1.0, which means they have been operating efficiently, while 4 organizations (46.4%) showed themselves to be relatively inefficient. Third, the reliability of DEA method were analyzed by comparing the results of the monetary value model and real value model. The results of 8 out of 11 organizations were same in terms of being efficient or not. Thus, the DEA could be a valid application method for occupational health service organizations. Fourth, the organizations that displayed common inefficiency in both the monetary value model and in the real value model 3, 9, and 10, were also considered to be managed inefficiency from expertise opinion. In summary, this study evaluated the efficiency of occupational health service organizations applying the DEA method with different variables, and found that the results of analysis could be valid in terms of both modeling and expert sense. In the future, the DEA method will be used as a useful tool to identify and evaluate the efficiency of occupational health service organizations through more applications and refinements.