• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.397-406
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• 2011

This paper analyzes the efficiency of Korean Financial Investment Institution using DEA model. We evaluate the CCR, BCC efficiency and RTS of 30 Financial Investment Institution. We also suggest the Financial Investment Institution which can be benchmarked based on analyzed information. The result shows that 3 Institution whose values of CCR efficiency are 1, and 7 Institution whose values of BCC efficiency are 1. RTS indicates IRS of 21 Investments, DRS of 6 Investments and CRS of 3 Investments.

• Journal of Korea Port Economic Association
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• v.26 no.1
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• pp.131-143
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• 2010

This study aims to analyse efficiencies of international main container ports. For the purpose, it selected twenty main ports based on the volume of cargo of ports recorded in Containerisation International Yearbook and conducted BCC(efficiency analysis) on them. The variables which may influence efficiency of ports were selected based on previous studies. Berth, Depth, Crane and Total area were input variables and Total TEU was an output variables. The results are summarized as follows: First, DEA-CCR efficiency of Shenchen Port(China) was 1.0, which was the most efficient poor analysed. Second, DEA-BCC efficiency of Port of Singapore, Shenchen Port(China), Ningbo Port (China), Port of Tanjung Pelepas (Malaysia) was 1.0, which was the most efficient analysed. Third, efficient scale of Shenchen Port(China) has been 1.0 for four subsequent years from 2004 to 2007, which was the most efficient analysed.

• Journal of the Korea Society of Computer and Information
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• v.12 no.1 s.45
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• pp.205-217
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• 2007

The purpose of this paper is to measure and analyze the efficiency of management in general bank. Each bank was analyzed to find out the efficiency and classified as efficient and inefficient bank. To the inefficient bank, the inefficient part and the extent are round out, the improvement methods of efficiency are suggested, and the effects of scale of bank on management efficiency by BCC model are analyzed. And, the differences between commercial bank and local bank also are examined. Empirical main results are as follows: Frist, After 2000, both of commercial and local bank shows the continuous improvement of the management efficiency. Second, the relative efficiency of management of commercial bank is higher than local bank except 2004. Third, there are differences in variables except equity ratio and no differences appeared in the management efficiency between commercial bank and local bank. Fourth, there are no influences or negative influences by M&A and reconstruction among banks in the effect of scale to the management efficiency.

• Management & Information Systems Review
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• v.36 no.2
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• pp.307-327
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• 2017

Ecological efficiency is an important index measuring and reflecting the sustainable development level of economy, resources and environment in a region. This paper makes an empirical study on the ecological efficiency of 31 provinces in China in 2014 with the three-stage DEA model. The results show that the three indexes, the total investment in environmental governance (Unit: hundred million Yuan), the second industry proportion(%), and per capita automobile ownership (car/ten thousand people) functioning as the external environmental variables have significantly impacted the regional ecological efficiency. Excluding the impact of the external environment and statistical noise, the technical efficiency of regional ecological efficiency has increased from 0.526 to 0.639, and the pure technical efficiency has increased from 0.650 to 0.858, with the scale efficiency decreased from 0.833 to 0.740, accurately reflecting the regional ecological efficiency level. 31 Chinese provinces are classified into four different types according to the pure technical efficiency and scale efficiency. Every region shall, according to the characteristics of its efficiency, emphasize differently on improving the management level or expanding the scale of production so as to improve the ecological efficiency.

• The Journal of Society for e-Business Studies
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• v.26 no.2
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• pp.45-59
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• 2021

As software(SW) has been considered as a key driver of the fourth industrial revolution, significant R&D investment has been made by Korean government. Despite the attention and support by the government, systematic analysis on the SW R&D efficiency has not been fully addressed. In this study, the efficiency of SW national research and development projects was analyzed using Data Envelopment Analysis(DEA) techniques. Efficiency was measured from both static and dynamic perspectives based on 1,463 projects conducted by the National IT Industry Promotion Agency(NIPA) from 2008 to 2018. The static efficiency analysis identified the causes of inefficiency as scale and technology problems. As a result of dynamic efficiency analysis, we present a sector-specific response model using an efficiency-stability matrix. This study is meaningful in that efficiency analysis was conducted on the entire SW national R&D project, and static/dynamic efficiency analysis results are expected to be used as a guideline for planning SW national R&D project.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.27-35
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• 2020

The Korean semiconductor industry is the top export item, and its technological prowess is also higher than that of its competitors. However, the technology gap with rivals will narrow. And the semiconductor industry is facing difficulties due to trade friction. Therefore, semiconductor firms should be more efficient in their production. we study analyzes the efficiency semiconductor firms using DEA model. We evaluate the CCR, BBC efficiency and RTS(return to scale) of 30 Korean semiconductor firms. There are a total of 13 efficient DMUs with a BCC of 1. There are a total of 6 efficient DMUs with a CCR of 1. A total of 10 DMUs were IRS in Scale Efficiency and a total of 9 DMUs were CRS in Scale Efficiency and a total of 11 DMUs were DRS in Scale Efficiency. We also suggest the semiconductor firms which can be benchmarked based on analyzed information.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.181-190
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• 2019

The purpose of this study is to evaluate the operational efficiency of Chinese e-commerce companies and to present measures to improve efficiency. This paper selected 16 enterprises as the research objects, from the e-commerce demonstration enterprises of the Ministry of Commerce of China in 2017-2018, to conduct an empirical study on the operating efficiency of e-commerce enterprises. By using DEA method, we selected 3 input and 2 output indicators to measure the input-output efficiency of enterprises from input-oriented. Using different model in DEA, we calculated the technical efficiency, pure technical efficiency and scale efficiency, also efficiency based on the sample of 2018 and horizontal analysis from 2016 to 2018. The analysis showed that the overall efficiency of Chinese e-commerce companies was continuously improving, and that their business capabilities and business scale were also gradually improving. Through the calculation of efficiency, we evaluated the competitiveness of the e-commerce demonstration enterprises, and explored measures to improve their management efficiency. At the same time, it put forward some reasonable suggestions to adjust the scale, and enhance the competitive advantage.

• Journal of Information Management
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• v.40 no.3
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• pp.41-60
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• 2009

This study utilizes DEA/Window analysis in order to investigate the relative efficiency levels of korea national university libraries during the period of transition 2004-2008. The empirical results show the following findings. Firstly, a technical efficiency was not efficient which was a scale efficiency rather than a pure technical efficiency in 2008. Secondly, a technical and pure technical efficiency has increased steadily from 2004 to 2008(but a technical, pure technical efficiency has decreased since in 2008). As a result, a technical efficiency increase can be explained by a pure technical efficiency increase.

• Journal of Korea Port Economic Association
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• v.26 no.4
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• pp.219-246
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• 2010

Countries around the world are propelling policies and strategies to strengthen the competitiveness of their own ports as they recognize the roles and importance of the ports in the international trade and logistics. The main objective of this study is to compare efficiencies of major container ports and analyze the factors that affect the efficiencies in the three regions of East Asia, Europe, and North America, which cover most of world container shipping. We employ DEA models in analyzing the efficiencies of 45 container ports using 5 input and 2 output variables. We also carry out regression analyses to estimate the impacts of each factor on the throughput (TEU), overall technical efficiency (OTE), pure technical efficiency (PTE), and scale efficiency (SE). The analysis results show that East Asian ports, despite being smaller in average size, make greater output and achieve higher technical and scale efficiencies than European or North American ports.

• Journal of Korea Port Economic Association
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• v.26 no.3
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• pp.18-41
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• 2010

The purpose of this paper is to show the empirical measurement way for predicting the seaport efficiency by using Super SBM(Slack-based Measure) with Wilcoxson signed-rank test under CRS(constant returns to scale) condition for 20 Korean ports during 11 years(1997-2007) for 3 inputs(port investment amount, birthing capacity, and cargo handling capacity) and 5 outputs(Export and Import Quantity, Number of Ship Calls, Port Revenue, Customer Satisfaction Point for Port Service and Container Cargo Throughput). The main empirical results of this paper are as follows. First, Super SBM model has well reflected the real data according to the Wilcoxon signed rank test, because p values have exceeded the significance level. Second,Super-SBM has shown about 87% of predicting ratio for the ports efficiency and the optimal size of investment in domestic seaport. The policy implication to the Korean seaports and planner is that Korean seaports should introduce the new methods like Super-SBM method with Wilcoxon signed rank test for predicting the efficiency of port performance and the optimal size of investment as indicated by Panayides et al.(2009, pp.203-204).