• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.505-513
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• 2013

Basketball is one of the most popular winter sports in Korea. Korean basketball league has started in 1997 with 8 teams. Currently, there are 10 teams participating in it and the average number of spectators in 2010~2011 season reached 3,815. However, it has not been making good profit. It would be meaningful to analyze and evaluate the operational efficiency in order to provide basic information to improve the efficiency. This study used data envelopment analysis to figure out comparative efficiency of the teams in the Korean basketball league. As a result, Jeonjaland, LG, and KT were evaluated to be efficient teams and Orions, Ginseng, and Mobis were not.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.46 no.5
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• pp.436-444
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• 2018

The purpose of this research is to assess the efficiency of the airline's route. The revenue source of low cost airline carriers is not various unlike regular airline carriers, because they are operating only domestic and international flights for a country of close proximity. In particular, domestic low-cost airlines in Korea can't provide cargo transport services but rely on passengers and additional services to generate profits. Therefore, it is absolutely important to maintain a low cost and effective passenger transport line. This study will suggest the way to improve efficiency of route operated by low-cost airlines. Analysis method is DEA. The input parameters and output results were selected by existing research. Based on the results of this study, it will be able to assist establishing routes and selling strategies of the low-cost airlines.

• Journal of Energy Engineering
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• v.24 no.4
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• pp.97-104
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• 2015

The performance in scientific contribution of renewable energy R&D has been overlooked, as it is shown in terms of industrial aspect. This paper analyzed the R&D efficiency of scientific aspects of each renewable energy resource in 2008-2012. Total R&D fund and the number of supported projects are selected as input variables, and the number of patents and papers as output variables to analyze the direct efficiency using DEA method. Through the analysis, it determines the efficiency of each energy resource R&D, and investigated the causes of inefficiency. This study has meaning to include entire renewable energy sources for the analysis, and is expected to serve as an important reference in policy making.

• Journal of Korea Port Economic Association
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• v.31 no.3
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• pp.155-166
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• 2015

This study selected container terminals of Gwangyang and Busan Ports to evaluate the influence of efficient container terminals. For the study, after data envelopment analysis (DEA) using the CCR and BCC models, the decision-making unit (DMU) system was used to define nodes; and with the use of a reference group in DEA (BCC model) and a lambda value, this study created a social network and analyzed the influences of efficient DMUs through a centrality analysis of eigenvectors. The results are presented as follows: First, as a result of the DEA, CCR efficiencies in PNC, HJNC, and HPNT container terminals of Busan Port were 1 and BCC efficiencies at Singamman Terminal, Wooam Terminal, PNC, HJNC, HPNT, and BNCT container terminals of Busan Port were 1. Second, as a result of undertaking social network analysis (SNA), according to an eigenvector centrality analysis, HJNC Terminal was referred to the most (influence score of 0.515), which indicates that it is the most influential as a container terminal. The influence of PNC Terminal was 0.512, while that of Wooam Terminal was 0.379. CJ Korea Express in Gwangyang Port was ranked fourth in influence, but its influence score of 0.256 indicates that it was the most influential of the container terminals at Gwangyang Port.

• Journal of Korea Port Economic Association
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• v.26 no.2
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• pp.19-35
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• 2010

The purpose of this paper is to develop a benchmark of performance standards for Global Logistics Provider in the merging logistics market. The Data Envelopment Analysis (DEA) can be employed to compare and analyse the efficiencies of Global Logistics Provider(3PL, 4PL). That is because Global Logistics Providers are able to reach the highest level of efficiency by using Logistics institutions and Logistics service systematically. This research is focused on analyzing the efficiencies of top 40 Global Logistics Providers. The framework assumes that the Providers use three inputs to produce one output. The inputs include number of employees information system, and number of warehouses. The output is the annual turnover. The results show that Panalpina, C.H. Robinson Worldwide, Maersk Logistics/Damco, Hub Group, Lander Global Logistics on Global Logistics Providers are the efficient providers. This paper also allows the inefficient DMUs to establish their benchmarking strategies. The strategies are dependent on the assets such as number of employees, information system, and number of warehouses.

• Journal of agriculture & life science
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• v.44 no.1
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• pp.69-80
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• 2010

The purpose of this study is to analyse current marketing practices and marketing efficiency using operational efficiency. Through field survey on marketing situations and channels, we found that major marketing channels of paprika were classified into six types : channels in exporting market included (1) producer's organization leading channel (type I), (2) regional cooperative leading channel (type II), (3) individual producer leading channel (type III), and channels in domestic market included (4) wholesale markets targeting channel (type IV), (5) distribution agents targeting channel (type V), (6) cooperative system selling channel (type VI). According to the estimated result of operational efficiency of marketing channels, marketing efficiency of type III and IV was relatively higher than type I,II and type V, VI respectively.

• 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.

• Journal of Technology Innovation
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• v.17 no.2
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• pp.131-158
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• 2009

We examine the effects of environmental or organizational factors on the performance of TLOs(technology transfer offices) in the PRIs(Public research institutes) using SFA(Stochastic Frontier Analysis), a technique for estimating the efficiency of DMUs(decision making units). In SFA, independent variables are assumed to determine the efficient production technique(production frontier) or affect the efficiency of DMUs. Previous researchs show that input variables such as number of personnel, R&D expenditure affect the production frontier while environmental or organizational variables affect the efficiency. We tried to estimate various types of models to find out whether environmental or organizational variables affect output variables differently from the previous research. Main empirical findings are as follows. First, R&D expenditure tends to increase all output variables considered. Second, environmental factors such as type of institutions and location of institutions affect the level of outputs. Third, organizational factors such as reward system for technology transfer also appear to affect the output variables. Fourth, environmental or organizational variables affect the production frontier directly rather than affect the efficiency of DMUs. Lastly, the efficiency of each DMU appear to be 1 or near to 1. Since almost all DMUs are equally efficient, it may not be effective to evaluate technology transfer activities of PRIs by efficiency criteria. We believe that this research should be complemented by additional data. More general types of production function need to be considered, and new techniques with concepts like output distance functions need to be developed to analyse multiple outputs simultaneously.

• Informatization Policy
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• v.28 no.4
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• pp.76-92
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• 2021

The value of personal information is increasing with the digital transformation of the 4th Industrial Revolution. The purpose of this study is to analyze the efficiency of personal information protection efforts of 2,000 private companies. It uses a stochastic frontier approach (SFA), a parametric estimation method that measures the absolute efficiency of protective activities. In particular, the personal information activity index is used as an output variable for efficiency analysis, with the personal information protection budget and number of personnel utilized as input variables. As a result of the analysis, efficiency is found to range from a minimum of 0.466 to a maximum of 0.949, and overall average efficiency is 0.818 (81.8%). The main causes of inefficiency include non-fulfillment of personal information management measures, lack of system for promoting personal information protection education, and non-fulfillment of obligations related to CCTV. Policy support is needed to implement safety measures and perform personal information encryption, especially customized support for small and medium-sized enterprises.

• Journal of Regulation Studies
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• v.27 no.1
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• pp.123-151
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• 2018

There have been voluminous debates on the economic effects of the Sunday shopping restriction in Korea. This paper summarizes the issues on the restriction, critically reviews the previous researches, and proposes policy alternatives. First, the Sunday shopping restriction in Korea significantly lowers supply-side efficiency. Second, the restriction considerably reduces demand-side efficiency due to higher transaction costs. Third, there is no empirical evidence showing the restriction improves equity overall. Fourth, even if equity improvement occurs, there are a number of policy alternatives that can achieve the same equity effect with less efficiency loss.