• The Journal of the Korea Contents Association
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• v.9 no.5
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• pp.224-229
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• 2009

This study measures the relative efficiency and productivity change of the Korean Non-Life Insurance Firms using DEA model and Malmquist Index for 2004-2007. The main results of this study can by summarized as follows. First, in case of efficiency of CCR for 2004-2007, the number of efficient firms(CCR value is one) are one firm, one firm, one firm, one firm respectively. Second, in case of efficiency of BCC for 2004-2007, the number of efficient firms(BCC value is one) are five firms, five firms, six firms, six firms respectively. Third, In case of return to scale for 2004-2007, DRS are five firms, DRS are five firms, DRS are six firms, DRS are six firms respectively, Fourth, Malmquist Index representing productivity change for 2004-2007 are 0.99 in 2004-2005, 1.04 in 2005-2006, 1.06 in 2006-2007.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.496-509
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• 2020

This study analyzes 5-year efficiency of the game industry, from 2014 to 2018 which is aimed at 25 online and mobile game companies, that are emerging as a new growth engine of a national economy to come and as a core areas of late entertainment industry. The DEA is used for static efficiency analyze and the DEA-Window is used for dynamic efficiency analyze. This study uses assets, the number of employees and costs as input variables and it also uses operating profits and sales as output variables. The main results show that scale efficiency presents a resonable result over 0.85 on a total average except 2014. However, there has not been a year that is over 0.80 of the whole period in technical efficiency. Also, in terms of business scale, there is a huge efficiency gap between high rank companies and low rank companies and the average trend of efficiency has been increased from 2014 to 2016 but it has been decreased since 2017.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.456-463
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• 2010

This study measured the relative efficiency and productivity change of the Korean professional sport teams using DEA model and Malmquist Index for 2006-2009. The main results of this study can be summarized as follows. First, in case of efficiency of CCR for 2006-2009, the number of efficient professional sport teams(CCR value is one) are two(Daejeon Citizen, Incheon United), three(Daejeon Citizen, Incheon United, FC Seoul), two(Daejeon Citizen, Incheon United), three(Kyungnam FC, Incheon United, FC Seoul) respectively. Second, Malmquist Index representing productivity change for 2006-2009 are 1.035, 0.9658, 1.5331 for Kyungnam FC, 1.2514, 0.8948, 0.9056 for Daegu FC, 1.1768, 0.8620, 0.9722 for Daejeon Citizen, 0.9368, 1.2609, 0.7714 for Incheon United, 1.0000, 1.0000, 1.0000 for FC Seoul, respectively. This result will be used by inefficient professional sport teams to improve inefficiency.

• Journal of Korea Technology Innovation Society
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• v.11 no.4
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• pp.613-638
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• 2008

The Korean government established 'the Act on Performance Evaluation and Management for National Research & Development (R&D) Programs' in 2005, and one year later constructed a master plan, 'A Basic Plan for the Management and Utilization of R&D performance' that focused on better diffusing the public R&D outcomes. In this study we propose a model of performance monitoring, evaluation, and management system for national R&D, which is based on a systematic approach and the logic model that has been prevalently used in planning and evaluating the public programs, to meet the purpose of the law and the master plan as well as to facilitate the diffusion of national R&D outcomes focused mainly on the industrial application technology. Furthermore, in order to use the model for the several applications, the model's specific measures which includes the quantitative methodologies such as analytic hierarchy process (AHP) and data envelopment analysis (DEA) are suggested in accordance with the existing system of the evaluation institution in Korea.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.177-188
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• 2011

This paper proposes a DEA model for the performance evaluation of each brand of coking coals in an integrated steel mill. The performance is defined as the efficiency which is the ratio of two linear combinations of the output factors to the input factors. There is only one input factor considered in the model : unit price of each brand based on CIF. Five output factors are chosen in consideration of their impact to the quality of cokes such as Ash, VM, LMF, TD, and Rm. Some of the output factors are treated as undesirable in DEA model because the quality criteria are given by the range. The CCR and BCC efficiencies are derived by the DEA model, and the scale efficiency is calculated, too. Each brand of coking coal is classified into four categories according to the CCR and BCC efficiencies, and the most inferior brands are identified as a result. The impact of the input and output factors to the efficiency is analyzed using a multiple regression, then the unit price is revealed as the most critical among them. Also, ANOVA results show that there exist efficiency differences among the coal types and the countries imported, respectively. Finally, the quantitative projection for the inefficient brands is performed if they are to be efficient. The result could be utilized in selecting the good or bad brands of coking coal based on the efficiency in an integrated steel mill. Also, this model will be used to assess the relative efficiency of a new brand of coking coal if it is a candidate to be imported.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1845-1850
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• 2006

적절한 벤치마킹 대상의 선정은 조직 계획 및 통제에 있어 중요한 요소로 인식되고 있으며, 이에 대한 많은 연구가 이루어져 왔다. 특히, 조직의 상대적 성과 평가와 이를 바탕으로 벤치마킹 대상을 결정하는 DEA(data envelopment analysis)의 출현은 벤치마킹에 대한 연구를 증대시켜왔다. 하지만, 벤치마킹 대상 선정은 기술적 생산 가능성 측면 외에도 조직의 정책적 고려, 관리적 우위 그리고 외부 제약 등을 고려해야 한다. 따라서 수리적 결과에 바탕을 둔 기술적 생산 가능성만을 가지고 벤치마킹 대상을 제공하는 현재의 DEA 접근 방법에는 한계가 있다. 즉, 고려하는 모든 대상을 기반으로 한 global efficiency 관점에서 제공하는 해가 비 효율적 조직 입장에서는 바람직하지 않을 수도 있다. 이에 따라 본 연구에서는 local efficiency 개념을 도입하여, 다양한 관점에서 벤치마킹 대안들을 살펴 볼 수 있는 방법을 제공하고자 한다. 이는 다음과 같은 과정에 의해 수행된다. 먼저, DEA를 이용하여 비교하고자 하는 모든 DMU(decision making unit)의 투입/산출물을 바탕으로 각 DMU의 효율성 값과 비효율적 DMU의 참조집합 (reference set)을 도출한다. 다음으로, 도출된 참조집합이 조직 운영 관점에서 적절한 벤치마킹 대상이며, 이러한 목표를 달성할 수 있는가를 평가한다. 이때 도출된 벤치마킹 대상이 적절하다면 분석과정을 종료하고, 적절하지 않을 경우 다음과 같은 추가적인 분석을 수행한다. 우선, 각 참조 집합을 중심으로 DMU를 그룹핑하고, 각 그룹별로 효율성 값 및 참조집합을 도출한다. 이때 도출된 효율성 값이 local efficiency 값에 해당된다. 다음으로, 참조 집합 그룹을 중심으로 도출된 비효율적 DMU의 참조집합이 적절한 벤치마킹 대상인가를 판단한다. 적절한 벤치마킹 대상을 도출하였으면 분석을 종료하고, 그렇지 않을 경우 적절한 벤치마킹 대상을 도출할 때까지 추가적인 분석과정을 반복한다. 제안한 방법을 통하여 조직은 기술적 생산 가능성 외에도 다양한 조직 운영 관점에서 적절한 벤치마킹 대상을 선정할 수 있으며, 이에 따른 목표를 수립할 수 있을 것으로 기대한다. 또한 더 나아가 global efficiency 관점에서 효율적 조직이 되기 위하여 단계적인 벤치마킹 대상 선정과 이에 따른 목표를 수립하는데도 유용하리라 판단된다.

• Information Systems Review
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• v.9 no.2
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• pp.109-127
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• 2007

In a buyer seller transaction process, "value for money" is one of the most important criteria for a buyer's purchasing decision. The terms "value" and "money" represent a composite measure of what a buyer receives from goods and/or services and a measure of what he/she pays for them, respectively. The purpose of this paper is to help buyers select the best seller in terms of value for money. We suggest DEA models for buyer seller transactions and apply them to the case of an Internet comparison shopping site in Korea. We expect our DEA models to provide valuable information for rational buyers who want to pay the least price for high quality products/services. Moreover, we expect that our models can help sellers be more competitive by showing them how to attract buyers.

• Journal of Korean Society of Transportation
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• v.20 no.5
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• pp.175-181
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• 2002

BIS(Bus arrival Information System) is a system that informs Passengers waiting at bus stops of the bus arrival time of next buses. However, when operating this system, it is not exactly known what type of bus arrival information should be provided. The purpose of this paper is to develop a model of the optimal bus arrival time to be informed for BIS. Analyzing Efficiency in the Seoul's Urban Bus Industry Using Data Envelopment Analysis. Two basic types of bus arrival information can be considered. One is Bus Locations : Where next buses are located and under what situation they are, such as the next bus departed from the previous stop, The other is Expected Arrival Time. Time to the arrivals of next buses. Characteristics of these two types of bus arrival time information provided for passengers waiting at bus stops for BIS are examined. The waiting time of passengers at bus stops is derived as a function of the bus arrival time to be informed. Some basic principles about the optimal bus arrival time to be informed are found. Finally, a case study assuming several simplifications is performed. One of the key findings is that there exists optimal arrival time to be informed other than the average arrival time. The optimal arrival time to be informed should be closer to the average arrival time for small and very large standard deviations and be earlier for certain amounts of standard deviations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.1
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• pp.383-391
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• 2010

The purpose of this study is to analyze influence of human resource efficiency of 32 university hospitals on revenue and expense. This study applies DEA(Data Envelopment Analysis) to evaluate human resource efficiency of the university hospitals. The results are as follows. First, university hospitals' average human resource efficiency are over 0.9 for the period 2005-2007. Second, in the relationship between revenue and efficiency, the revenue had any significant relation to human resource efficiency. Third, There is close correlation between revenue and human resource efficiency. The hospitals that are high on human resource efficiency were found to be high on revenue and expense. There is a dynamic relationship that connects revenue, expense and human resource efficiency. The higher the investment expense, the greater is the number of in-patients and out-patients which leads to higher growth and profits.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.785-798
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• 2016

Purpose: This paper developed the framework for extracting strategies of research and business development (R&BD) based on the data envelopment analysis(DEA). Methods: DEA has been widely utilized in evaluating R&D efficiency. Even though, technology transfer and commercialization has been regarded as the important factors for practical R&D efficiency evaluation, most research have evaluated R&D efficiency by just using the DEA outputs such as the number of patents and papers. The technology transfer, commercialization and relations among costs and generated technology and commercialization are needed to be considered for more practical R&D efficiency evaluation. Thus, this research addressed a method on how to incorporate the commercialization factors into the R&DB efficiency evaluation, and improve the efficiency strategically in terms of R&D and B&D. To achieve this, this research utilized a two-stage network DEA model for R&BD efficiency evaluation. Results: The proposed framework was applied to the 15 public research institutes and the 34 universities for validation. R&BD efficiency for the 15 public research institutes and the 34 universities was evaluated, and the differentiated improvement strategies for the inefficient DMUs to improve their efficient were proposed. Conclusion: The R&BD efficiency would be effectively analyzed based on two-stage network DEA. It would be utilized for the effective strategy planning for cultivating R&BD.