• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.765-768
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• 2011

최근 건설경기의 난국 속에서 많은 건설기업들이 경영상의 어려움에 처해 있다. 본 연구에서는 코스피 코스닥 상장 건설기업들을 대상으로 ANP와 DEA 결합 모델을 이용하여 기업의 경영 효율성 분석을 실시한다. DEA 모형에 쓰이는 투입 및 산출 요소의 결정은 ANP 모형의 중요도 분석을 통하여 결정함으로써 기존의 방법보다 효율성 분석 결과의 신뢰도를 제고하였는데, 효율성 분석결과 비효율적 그룹에 대해서는 효율적 그룹으로의 이동을 위한 벤치마킹 대상과 개선을 위한 효율성 수치를 제공한다. 또한 연구의 결과로 나온 기업별 효율성과 주가와의 상관관계를 분석한다. 본 연구에서는 코스피 상장 건설기업 36곳과 코스닥에 상장된 건설기업 21곳인 총57개 기업을 대상으로 기업의 효율성을 평가하였는데, 효율성 분석결과 CCR 효율성이 1인 기업은 4개 기업, BCC 효율성이 1인 기업은 7개 기업, 규모의 효율성이 1인 기업은 4개 기업 이었으며 각각의 효율적 그룹군 기업과 주가와의 상관관계는 CCR, BCC 모형 모두에서 0.7 이상의 강한 양의 상관관계를 나타냈다.

• Journal of Korean Society for Quality Management
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• v.37 no.1
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• pp.80-90
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• 2009

Nowadays, there are many companies which employ the SQI measurement to assess service quality. The purpose of this study is to measure the service efficiency for Bank Industry. In this paper, we tried to measure the efficiency of service quality and overall customer satisfaction by using Data Envelopment Analysis(DEA). Rather than using the usual method of converting the Service Quality Index(SQI) into mean value, we applied CCR/BCC models in DEA to service quality efficiency. Also, DEA/PS Model is recommended as appropriate model for evaluating service efficiency by complementing the shortfalls of the weighted value of DEA Model. In this study, six dimensions of service quality were considered as input variables and output variables(overall customer satisfaction, reusing intention, and word of mouth). The result of this study statistically verifies that 5 DMUs are relatively efficient, and intensive activities for service efficiency are needed for 20 sample branches. Managerial implications based on the analysis were suggested.

• Korea Journal of Hospital Management
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• v.2 no.1
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• pp.183-202
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• 1997

Health care organizations have been faced with financial difficulties under turbulent health care environment. This situation led hospitals to concentrate their efforts to improve their managerial efficiency in various ways. This study aims to evaluate technical efficiency of 31 tertiary hospitals in Korea and find determinants which are closely related with hospital efficiency. Data envelopment analysis(DEA) and Tobit Model were adopted for study. For the analysis, human resource factors such as number of physicians, nurses, and administrative staffs are used as input variables and the number of inpatients and outpatients) are used as output variables. Among 31 hospitals, in CCR model, 8 hositals showed efficiency score 1 which means they have been operated in very efficient ways and BCC model showed 13 of 31 hospitals as efficient organizations. Next, we analyzed determinants which are closely related with hospital efficiency. By using Tobit model, the study showed hospital size, Quality of care, value added per capita, and revenue per patient were closely related with hospital efficiency, However, it appeared that financial status of hospitals(i.e : making profit or not) was not related with hospital efficiency.

• The Journal of the Korea Contents Association
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• v.8 no.5
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• pp.192-206
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• 2008

With many changes such as the increase in telemarketing, internet marketing and enforcement of bancassurance, the Korean life insurance companies have undergone a startling transformation. The purpose of this paper is to measure and analyse the static/dynamic efficiency of Korean life insurance companies employing Data Envelopment Analysis(DEA). As the result of the static efficiency analysis, we provide CCR, BCC and scale efficiency, return to scale, and reference set of Korean life insurance companies in 2004. And we also describe about the trend and stability of their efficiency for 7 years(1998-2004) in the dynamic efficiency analysis.

• Journal of Korean Society for Quality Management
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• v.39 no.2
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• pp.244-255
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• 2011

In this study, we try to evaluate the efficiency of the photonics industry using a data envelopment analysis(DEA) model. We first develope four stage procedures for selecting proper input and output variables which consist of selecting the first candidate variables from literature survey, selecting the second candidate variables through experts' discussion, measuring the partial efficiency of the selected variables based on Tofallis' profiling, and clustering some variables through the rank correlation analysis of partial efficiency proposed by Min and Kim(l998). With this procedure, we select 4 input variables(capital, number of employee, R&D cost, operating cost) and 2 output variables(sales, growth of sales) and then utilize CCR and BCC model to measure efficiencies of 26 photonics companies in Gwangju. Moreover, we perform the reference group analysis to figure out what causes inefficiencies and to provide the desirable values for input and output variables at which inefficient photonics companies become efficient. Finally, we classify 26 photonics companies into three groups such as optical communications, optical applications, and optical sources, and perform the Kruskal-Wallis test to check if there exist some differences between efficiencies of three groups.

• Journal of Korea Port Economic Association
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• v.27 no.1
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• pp.13-30
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• 2011

It's vital to establish the competitive comparative advantage as the competitions among global logistics companies have become fierce. The global companies, hence, must innovate their Port Hinterland to hub and spoke in a view of SCM. The Port Hinterland significantly affects its local economy and value added. The task of the Port Hinterland nowadays is to improve its efficiencies by utilizing logistics operations and services. The Korean government has planned to reduce the scale of the Port. The CCR and BCC matrices show that there are nine efficient companies: two companies in Gwangyang Hinterland and five companies in Busan Hinterland, though Masan FTZ was only ranked on the 24th, on the rank of world FTZ. This paper aims at finding the cargo volume necessary for achieving the maximum efficiency. This research proposes an appropriate strategy to keep a certain amount of cargo volume stable and presents the Port Hinterland differentiation strategies of Gwangyang and Busan.

• Journal of Distribution Science
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• v.12 no.8
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• pp.5-15
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• 2014

Purpose - The method of TV home shopping is a kind of retail method that provides the viewer with information about products and, further, sells the products to consumers through the media of television. The domestic home-shopping industry has been expanding since 1995, and there are six companies in this arena as of 2012. In this study, we evaluate the management efficiency of TV home-shopping companies and provide suggestions for improving efficiency, using the DEA (data envelopment analysis) model. Hence, we expect to contribute to the progress of the companies' efficiency and the development of the TV home-shopping industry, where deepening competition is inevitable because it is experiencing the maturing market stage in its life cycle. Research design, data, and methodology - Efficiency is the ratio of the quantity of input to the quantity of output of a product or service. It is necessary to estimate aggregate inputs and aggregate outputs, which are calculated by applying a weighting to a number of input and output factors, to measure the efficiency. The DEA model is divided into the CCR model and the BCC model. The CCR model is a basic model that assumed constant returns to scale (CRS), and the BCC model extends the CCR model to accommodate technologies exhibiting variable returns to scale (VRS), and concerns only the technical efficiency without considering the efficiency of returns to scale. In this study, we consider six companies each year from 2008 to 2012 as a DMU (Decision Making Unit) and analyze the differences in efficiency for each company in each year. Furthermore, we evaluate the operating characteristics of TV home-shopping companies, using three models, in accordance with the overall performance, profitability, and marketability of the business. Results - The result of the analysis, using DEA models, shows that Hyundai Home Shopping (2009, 2010, 2011), GS Home Shopping (2011), NS Home Shopping (2011) and CJ O Shopping (2012) possess MPSS (most productive scale size), with a score 1.0 in CCR, BCC, and scale efficiency. Particularly, Hyundai Home Shopping is shown to be the most efficient in terms of overall business performance, marketability, and profitability. The overall efficiency of the home shopping industry has displayed an increasing trend since 2008, even though it decreased marginally in 2012; further, we can observe that home shopping companies operate with increasing efficiency with the passage of time. Conclusions - Home shopping companies have focused on market expansion rather than profits, as they displayed better efficiency in marketability than increase in profitability during the period 2008-2012. In addition, the main reason for the increased efficiency in the home shopping industry is the market expansion through the revenue increase of each home shopping company. This study can be used as a reference when home shopping companies attempt to devise future strategies, as it suggests efficiency benchmarks and development levels for each home shopping company.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.27-34
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• 2019

The IT industry has made rapid development and also had an economic impact on other industries Also, since the fourth industrial revolution has begun in recent years ago, so The convergence between IT and other industries is increasing. Therefore, the development of the IT industry will enhance the international competitiveness It will also have a major impact on the nation's economic growth. Therefore, IT firms should be more efficient in their production. so This paper analyzes the efficiency of High-growth IT firms using DEA model. We evaluate the CCR, BBC efficiency and RTS(return to scale) of 12 IT firms. As a result, there were 6 companies with BCC efficiency 1 and 4 companies with 1 CCR efficiency. The scale of profitability was analyzed by IRS as 7 companies and CRS as 5 companies. We also suggest the IT firms which can be benchmarked based on analyzed information. It is expected to provide investors and external stakeholders with very useful information on managerial management efficiency.

• International Commerce and Information Review
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• v.19 no.3
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• pp.45-61
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• 2017

The purpose of this study is to examine the efficiency of Korean companies' entry strategy in India through the DEA model and to review the current status and competitiveness of Korean companies in India. To analyze 112 companies that entered India in analyzing the common variables among the major variables related to Korean companies' entry strategy into India. To measure efficiency, 'DEAR 2.1' An output - oriented CCR model and BBC model were used for the analysis to minimize the input and maximize the output factor. The results of the study on the relative efficiency analysis of the investment strategy of the companies in India are as follows. First, six firm was analyzed efficiently in the CCR model and most firms showed inefficiency in management. Second, even with the BCC model, which represents pure technology efficiency, 103 companies were analyzed efficiently as well. Unlike the CCR, overall technology efficiency of firms was high. Third, as a result of analyzing the efficiency of the scale, it was found that six company showed efficient efficiency, and most of the companies showed inefficiency overall. Companies with inefficiencies should increase efficiency by expanding their scale. Based on the above analysis, it is expected that the companies that will enter India in the future should secure the human and material resources to realize economies of scale considering the number of employees, investment scale, investment type and industry.

• Journal of Korean Society for Quality Management
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• v.43 no.4
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• pp.533-544
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• 2015

Purpose: The purpose of this study is to analyze the cost efficiency of food industry in JeollaNamdo. And this study is focused on the correlation between the economic efficiency of food industry and its cost efficiency, based on the analysis of 372 food companies' data in JeollaNamdo in 2012. Methods: DEA cost minimization is the measurement of the cost efficiency of JeollaNamdo food industry in 2012. In this study, the CCR and BBC models have been employed to analyze the decomposing cost efficiency-technical efficiency, allocative efficiency, and scale efficiency respectively. And the Spearman rank correlation and Wilcoxon signed rank test also have been employed to check the correlation and difference between the ranking orders based on the efficiency scores respectively. Results: For the CCR model, mean cost efficiency was found to be 0.084(0.54 for allocative efficiency and 0.19 for technical efficiency). For the BCC model, mean cost efficiency was found to be 0.252(0.453 for allocative efficiency and 0.564 for technical efficiency). Average scale efficiency was found to be 0.38. In analyzing the results, this study argues that the optimal way to improve cost efficiency is by reducing inputs proportionally and changing their combination. Conclusion: The efficiency scores of the two models show high correlation, whereas, the differences between them are also found to be significant. Hence, it should be cautious to select a suitable model when we do the research.