• 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.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.367-371
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• 2005

선진 각국의 지상파 디지털 방송 기술 개발 동향을 파악하고 미국, 영국, 일본, 독일 호주 등 주요 국가별로 대표방송사를 선정하여 재무제표 자료를 토대로 투자 및 운영효율성에 대한 정량적 분석을 수행하고 DEA(Data Envelope Analysis)모형을 이용하여 각국의 경쟁력을 비교 분석한다. 분석 결과를 우리나라의 방송 3사(KBS, MBC, SBS)의 상황과 비교 분석함으로써 국내 디지털 지상파 방송이 경쟁력을 갖추기 위한 조건을 제시하고자 한다.

• IE interfaces
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• v.24 no.4
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• pp.314-322
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• 2011

This study analyzes a relationship between Data Envelopment Analysis(DEA) efficiency scores and a normalization index in order to examine the validity of DEA models. A normalization index concerned in this study is 'sales per R&D project fund' which is regarded as a crucial R&D project performance evaluation index in practice. For this correlation analysis, three distinct DEA models are selected such as DEA basic model, DEA/AR-I revised model(i.e. DEA basic model with Acceptance Region Type I constraints) and Super-Efficiency(SE) model. Especially, SE model is adopted where efficient R&D projects(i.e. Decision Making Units, DMU's) with DEA efficiency score of unity from DEA basic model can be further differentiated in ranks. Considering the non-normality and outliers, two rank correlation coefficients such as Spearman's ${\rho}_s$ and Kendall's ${\tau}_B$ are investigated in addition to Pearson's ${\gamma}$. With an up-to-date empirical massive dataset of n = 482 R&D projects associated with R&D Loan Program of Korea Information Communication Promotion Fund in the year of 2011, statistically significant (+) correlations are verified between the normalization index and every model's DEA efficiency scores with all three correlation coefficients. Especially, the congruence verified in this empirical analysis can be a useful reference for enhancing the practitioner's acceptability onto DEA efficiency scores as a real-world R&D project performance evaluation index.

• Proceedings of the Technology Innovation Conference
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• 2005.08a
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• pp.113-137
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• 2005

본 연구는 각 프로세스가 조직에 미치는 상대적 영향을 고려한 조직 전체의 효율성을 평가하고, 조직의 효율성을 개선하기 위하여 조직을 구성하는 여러 프로세스 중에서 어떤 프로세스를 우선적으로 개선해야 하는지를 결정하며, 더 나아가 비효율적인 프로세스를 개선하기 위하여 어떤 프로세스를 벤치마킹해야 하는지를 결정할 수 있는 체계적인 방법을 제공한다. 이를 위하여 본 연구는 다음과 같은 중요한 세 가지 과정을 따른다. 첫째, DEA(data envelopment analysis)의 CCR 모형을 이용하여 프로세스의 투입요소와 산출 요소를 바탕으로 개별 프로세스의 효율성을 평가한다. 둘째, 도출된 개별프로세스의 효율성을 Lovell과 Pastor의 순수 산출요소(또는 투입요소) DEA 모형의 산출요소로 이용하여 서비스 단위 조직 전체의 효율성을 평가한다. 셋째, 앞서 도출된 개별프로세스의 효율성과 서비스 단위 조직의 전체 효율성을 각각 DT(decision tree)의 예측변수와 목표변수로 활용하여 각 서비스 단위 조직의 특성 및 상황에 따라 개선해야 할 프로세스를 선택하는 규칙을 생성한다. 제안한 방법을 통하여 기업은 비효율적 조직과 프로세스를 발견하고 조직의 효율성을 개선하기 위하여 어떤 프로세스를 우선적으로 개선해야 하는지를 결정할 수 있다. 이를 통하여 기업은 오늘날 기업 경쟁력의 핵심인 프로세스를 좀 더 효과적으로 평가 및 관리할 수 있을 것으로 기대된다.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.491-507
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• 2019

The result of this study was to measure the relative efficiency of 133 colleges in south korea and to investigate the differences in the results of college basic competency evaluation. As a result of the study showed that the average difference of efficiency according to the background variables was no significant according to the scale, location, and college evaluation. but differences in the type of establishment were found to vary significantly in S.E model. In addition, it was analyzed that the efficiency of the college with limited funding for the efficiency distribution is highly distributed, which indicates that it is necessary to continuously improve the existing university methods and to assess whether they are being managed effectively. Finally, the limitations of this study are that it used only quantitative data and that additional indicators could result in different outcomes from the results of this study.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.68-69
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• 2023

Recently, decarbonization has been emphasized worldwide to cope with climate change, and carbon neutrality by 2050 has emerged as a global agenda. The domestic port authorities have been participating in the global agenda in line with the government regulations. Since 2010, when decarbonization has been regarded as an important assignment in ports, container terminal efficiency considering undesirable outputs such as Carbon dioxide has been analyzed. However, most previous studies measured carbon dioxide emissions according to the Tier 1 and it is a first time to analyze container terminal efficiency based on the Tier 3 presented in the IPCC guidelines. 17 domestic container terminal operators were considered as decision making units and DEA-SBM Model was used. Subsequently, Undesirable outputs model was conducted to calculate the environmental efficiency.

• Journal of Navigation and Port Research
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• v.48 no.3
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• pp.171-180
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• 2024

Recently, there has been a global emphasis on decarbonization in order to address climate change and achieve carbon neutrality by 2050. In line with government regulations, domestic port authorities have also started participating in this global agenda. Since 2010, when decarbonization became an important task in ports, there have been studies analyzing the environmental efficiency of container terminals, taking into account undesirable outputs. However, most of these previous studies only measured carbon dioxide emissions based on Tier 1, whereas this study is the first to analyze the environmental efficiency of South Korea's container terminals based on Tier 3, as presented in the IPCC guidelines. The study considered 17 container terminal operators in South Korea as decision-making units and used the DEA-SBM Model. Subsequently, an Undesirable Outputs Model was conducted to calculate the environmental efficiency.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.2
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• pp.161-174
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• 2013

The purpose of this study was to examine the efficiency of senior welfare centers and the cause of differences among senior welfare centers in that regard, and to investigate influential factors for the differences in efficiency and the size of the influence of the factors. What methods would be effective at assessing the efficiency of senior welfare centers by taking into account their circumstances was reviewed, and post-hoc analyses were made by using data envelopment analysis(DEA) and Tobit analysis, which were useful tools to evaluate relative efficiency. After 24 senior welfare centers located in Seoul were selected, their yearly operating data of 2011 were utilized. In this study, we set limits to the medical welfare of the elderly welfare services business, and divided into model 2 including the elderly population in the region and model 1, input factors for only internal factors, such as full-time workers. We calculated a valid result by proceeding a BCC analysis and analysis of CCR respectively. As this study has some limitations, follow-up research should be implemented. Yet this study is of significance in that it attempted to present general norms for the efficiency analysis of senior welfare centers by using a DEA model and made various post-hoc analyses based on the efficiency data to give significant suggestions on the service of senior welfare centers.

• Land and Housing Review
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• v.4 no.1
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• pp.33-42
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• 2013

This study which are recognized that the lack of empirical research about the efficiency of the elements of environmentally friendly housing development planned presented housing design elements and policies to revitalize for the reduction of greenhouse gas emissions by analyzing the effectiveness of reduction of greenhouse gas output. In addition, it used various models of DEA which are accepted until now effective technique to evaluate the performance of the organization. In conclusion, there are effective 5 regionals which are Seoul, Incheon, Ulsan, South Chungcheong Province, South Gyeongsang Province. other regionals was analyzed to be inefficient. The conclusion from this study are as follows: First, in case of 11 regionals which are analyzed to be inefficient, they have to difference plan elements to make up. So each region should establish strategy to complement vulnerability. Second, not only internal architectural factors but institutional, and external environmental factors also affect the reduction of greenhouse gas emissions. And weighted scores also were moderately high. But levels of weighted scores still less than the ratio of Good quality housing. So it can be determined that evaluation of individual architecture still considered important. It need to pay more attention to the operating system and the external environmental factors.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.2
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• pp.190-204
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• 2008

Recently, it has been strongly required to establish a systematic and sustainable performance investigation and evaluation framework on governmental funding projects for IT small and medium-sized enterprises. In this paper, Data Envelopment Analysis (DEA) models are adopted for performance evaluation on governmental funding projects for IT small and medium-sized enterprises. A new data structure is proposed for the DEA performance evaluation. Generally, in using DEA models, DEA multipliers restriction is critical to achieve the reliability of DEA optimal solutions. Based on the outputs and inputs considered in this study, Acceptance Region (AR) constraints are generated and incorporated into the DEA models so as to improve the reliability of DEA efficiency scores. Associated with AR Type I (AR-I), AR Global Model (ARGM) constraints, DEA/ (AR-I, ARGM) models are designed and then sensitivity analysis follows investigating the robustness of DEA efficiency scores relating to AR constraints adjustment. Finally, a performance evaluation is illustrated regarding governmental direct funding projects from Ministry of Information and Communication (MIC) in Korea where each project unit (i.e. Decision Making Unit (DMU)) is determined whether it is efficient or not. By using DEA/(AR-I, ARGM) models designed in this paper, robustly efficient DMUs are gradually identified according to the successive AR constraints adjustment. Among 25 DMUs, results show that 6 DMUs such as B, E, G, Q, S, Y are determined as robustly efficient against AR constraints intermediate adjustment.