• International journal of advanced smart convergence
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• v.9 no.4
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• pp.52-61
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• 2020

The AHP method was used in 30 provinces of China to construct the index system of creative space efficiency evaluation and determine the weight of each index. The fuzzy comprehensive evaluation method was further used to score the indexes at all levels, and then the total efficiency score was sorted. The purpose of this study is to adjust the regional layout of creative space reasonably and implement financial policies accurately through the evaluation of the efficiency of creative space. The results is ranking top in weight of several indicators, which include the number of incubated Startups, the number of innovation and entrepreneurship mentors, the survival rate of incubator, the innovative training activities, etc. It was also found that Beijing, Shanghai, Jiangsu, Guangdong and Zhejiang ranked first in the score of creative space efficiency. This study is meaningful in that it was In order to effectively solve the problem of the imbalance of the creative space efficiency in China's province, by coordinating the regional pattern, establishing a sound service system and improving the efficiency evaluation system.

• Quality Improvement in Health Care
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• v.24 no.1
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• pp.30-39
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• 2018

Objectives: In Korea, there are many kinds of evaluations for medical institutions. However, evaluations are increasingly burdensome for medical institutions because evaluation agencies, evaluation timing, and evaluation methods are different. The purpose of this study is to improve the efficiency of evaluation for medical institutions and ultimately to provide quality medical services to patients. Methods: In this study, 2,310 indicators of 19 kinds of evaluation for medical institutions were analyzed. Results: 1,424 indicators were available for on-site surveys and 886 indicators were not available for on-site surveys. There were 4 kinds of evaluation that can be integrated in total, 12 kinds of evaluation that can be integrated partially, and 3 kinds of evaluation that need to maintain the current evaluation system. Conclusion: In order to provide patient-centered quality medical services through reduction of burden due to the evaluation for medical institutions, it is necessary to deeply discuss the efficiency of evaluation integration and result utilization.

• Journal of the Korean Institute of Educational Facilities
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• v.12 no.6
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• pp.56-67
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• 2005

The purpose of this study is to give the detailed evaluation index which is considered by reconstruction and repair for the school facilities on the ground of the efficiency evaluation result in each plan through analyzing the school facilities to every case classified into the evaluation index such as the school site plan, the site plan, the floor plan. On this study through the detailed evaluation index each case to the school facilities is to get the result of the efficiency evaluation. Through analysing the result, to make an alternative plan of the school facilities which are fit in both the new educational process and the educational state is to give it as a guide.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.201-212
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• 2017

This study presented the new evaluation index which can evaluate the discrimination of DEA models. To evaluate the discrimination of DEA models, data were analyzed using importance index as suggested in previous study and the coefficient of variation as suggested in this study for the discrimination evaluation. This study selected the CCR-DEA, BCC-DEA, entropy, bootstrap, super efficiency, and cross efficiency DEA model for the discrimination evaluation and accomplished empirical analysis. In order to grasp the rank correlation of the models, this study implemented the rank correlation analysis between the efficiency of CCR model and BCC model and entropy, bootstrap, super efficiency, and efficiency of the cross efficiency model. The obtained results of this study are as follows. First, the discrimination rank of models using the importance index and the coefficient of variation was shown to be identical. Therefore, the coefficient of variation can be used the discrimination evaluation index of DEA model. Second, the discrimination of the super efficiency model was found to be the highest rank among 4 models according to the analysis of this present study. Third, the highest rank correlation with CCR model was the super efficiency model. In addition, the super efficiency model was found to be the highest rank correlation with BCC model.

• Journal of Information Technology Services
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• v.6 no.1
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• pp.65-81
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• 2007

Recently, the affiliates of the Ministry of Information and Communication have been conducting a performance evaluation study on IT policy projects, based on the performance evaluation model of the U.S. Office of Management and Budgets, with regard to investment in computerization. The performance evaluation model for the policy project could provide the objective information required for the planning, development, and operation of the policy project. However, the performance of the most policy project is likely to be evaluated using the subjective evaluation criteria of evaluators. Therefore, this case study evaluates the relative efficiency using DEA (Data Envelopment Analysis) in order to improve the performance evaluation method of the digital pioneer' project implemented by the Korea IT Industry Promotion Agency. The improvement value of inefficient Decision Making Units (DMUs) was measured by a static efficiency analysis. The measured value will suggest a objective viewpoint of the performance between DMUs to evaluators. In doing so, it will show an appropriate direction for the policy project to be evaluated successfully.

• Journal of Korean Society for Quality Management
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• v.32 no.2
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• pp.77-92
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• 2004

It is difficult but very necessary to measure the productivity of container terminals as logistics service provider. It is meaningful to find the appropriate inputs and outputs of the logistics service delivery systems and to measure the relationship between these inputs and outputs. This study proposes a model of evaluating the efficiency of container terminals. The evaluation consists of three phases. First, DEA(Data Envelopment Analysis) phase, determines the efficiency score and weights of DMUs(Decision Making Unit). This phase performs through four steps : selection of DMU, selection of DEA model, determination of input and output factors, calculation of efficiency score and weights for each DMU. Secondly, CEM (Cross Evaluation Model) phase, is to calculate the cross-efficiency scores of DMUs. This phase performs through three steps: selection of CEM, determination of cross-efficiency score for each DMU and development of cross-efficiency matrix. Finally, average cross-efficiency analysis phase is to compute the average cross-efficiency score. The proposed model discriminates among DMUs and ranks DMUs, whether they are efficient or inefficient.

• Proceedings of the SAREK Conference
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• 2009.06a
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• pp.3-8
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• 2009

Since 2001, the Building Energy Efficiency Rating and Certification System have been implemented in Korea. For rating the energy efficiency performance, the evaluation tool for Building Energy Efficiency Rating System has been used. In this study, the evaluation tool was compared with detailed analysis programs(Trnsys 16, ESP-r) through simulations of heating energy needs for apartment, and we checked the character of the evaluation tool.

• Korea Journal of Hospital Management
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• v.2 no.1
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• pp.22-47
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• 1997

This paper evaluated the relative efficiency of 33 provincial medical centers using Data Envelopment Analysis(DEA) and compared the DEA efficiency results with those of the current method conducted by the management evaluation team. DEA Was selected as an alternative efficiency evaluation method since it could handle multiple inputs and multiple outputs simultaneously and identify the sources of inefficiency. To analyze the sensitivity of productivity values to the variable sets, four different sets of input and output variables were identified. Results showed that most of the medical centers are operating far away from the efficiency frontier supporting the previous results. Some centers showed 100% efficiency regardless of the selected variable sets. DEA results are compared with current management evaluation results. Some inconsistencies were found for some DMUs between the results of two methods showing the existence of methodology bias. DEA results and ratio analyses results mostly agree for 1992 data.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.4
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• pp.203-221
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• 2017

This study is to suggest some improvement directions of the criteria for the management evaluation in order to contribute to the achievement of lasting value of the continuous development and publicity in regard to the public library means-efficiency. To this end, This study analyzed the means-efficiency evaluation criteria via theoretical review on business analysis of private enterprise and the analysis framework based on it. The improvement of evaluation criteria in regard to efficiency for the continuous development of public library are as follows. 1) Regardless of domestic and foreign, an efficiency index in the performance evaluation index of public library is absolutely insufficient. The sufficient indexes measuring efficiency which is appropriate for the concept of performance should be developed. 2) A flow data representing input and performance in certain time period is insufficient. Therefore, evaluation index consisted of flow data should be more developed. 3) Long term stock data is excluded in the term cost as it is the cost used for the long term such as fixed assets. However, it is useful as input data, which is realized through the perfect accounting.

• Journal of Korea Technology Innovation Society
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• v.2 no.2
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• pp.249-265
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• 1999

This study examines the efficiency of engineering education using DEA(data envelopment analysis) which is often used in the efficiency evaluation of public services. We evaluate 27 mechanical engineering departments according to academy-basis, general basis, and employment-basis considering students' academic level and input costs as input factors. Our empirical results suggest that an evaluation method using DEA can give us useful informations such as benchmarks to improve education specialization where it is desirable, decisions about whether a department should expand its gross input or not, and proper directions about which input factors should be controlled and how much control is needed.