• Journal of the Korean Regional Science Association
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• v.33 no.1
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• pp.3-16
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• 2017

This paper analyzed 16 regional total factor energy efficiency (TFEE) of the Korean manufacturing sector using data envelopment analysis method for the period of 2005-2013. According to the empirical results, it is necessary to use TFEE as well as partial energy efficiency defined by the ratio of energy usage to output (energy intensity) when we compare energy efficiency. Secondly, TFEE in the Korean manufacturing sector is quite different across 16 regions. For example, Gangwon province should improve energy efficiency by 55% compared to Seoul, Gwangju, Ulsan, and Gyeongbuk which are located on production frontier. Furthermore, the estimation of panel tobit regression model showed that the higher non fossil fuel using, the higher production share of large-sized firms, the lower energy intensity, and the lower capital-labor ratio could have positive effect on TFEE.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.29-37
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• 2009

National R&D programs play an important role in the development of a country in this age of the knowledge economy. Since many numbers of R&D programs compete for limited resources such as national R&D budget, the R&D program evaluation problem is a challenging decision-making problem faced by decision makers that deal with R&D management. In this sense, DEA(Data Envelopment Analysis) has been regarded as one of the most widely accepted methods to measure the relative efficiency of productivity of R&D programs. DEA is a methodology to measure and to evaluate the relative efficiency of a homogeneous set of decision-making units(DMUs) in a process which uses multiple inputs to produce multiple outputs. However, the sample of the R&D programs could consist of two or more naturally occurring subsets, thus exhibiting clear signs of heterogeneity such as different objectives. In such situations, the fairness of DEA is limited, for the nature of the relative efficiency of a DMU is likely to be influenced by its membership in a particular subset of the sample. In this study, we propose a methodology AI-DEA(attainment index DEA) allowing for reflecting decision maker's subjective judgement on difference among different subsets of R&D programs which have heterogeneous objectives. This methodology combines AHP and Delphi in order to decide the attainmnet index of each DMU for each outputs, and apply them to DEA model. We illustrate the proposed approach with a pilot evaluation of 13 programs involving 6 different subsets of Korean National R&D programs and compares the results of the original DEA model and AI-DEA model.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.65-73
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• 2018

The dynamic capabilities of sensing market signals, creating new opportunities and reconfiguring resources and capabilities to new opportunities in a rapidly changing economic environment determines the competitiveness of the enterprise to create added value and survival. This study conceptualized a two-stage performance measurement framework based on the casual model of resource (input)-process-performance (output). We have developed a 'Process capability index' that reflect the dynamic capabilities factors as a key intermediary product linking resource inputs and performance outputs in enterprise performance measurement. The process capability index consists of four elements : manpower (level of human resource), operation productivity, structure and risk management. The DEA (Data Envelopment Analysis) model was applied to the developed performance indicators to analyze the branch office performance of a telecom company. Process capability efficiency (stage 1) uses resource inputs to reach a certain level of process capabilities. In performance result efficiency (stage 2), the process capabilities are used to generate sales revenues and subscribers. The two-stage DEA model derives intermediate output values that optimize the individual stages simultaneously. Some branch offices in the telecom company have focused on process capability efficiency or some other branch offices focused on performance result efficiency. Positioning map using two-stage efficiency decomposition and benchmarking can help identify the sources of inefficiencies and visualize strategic directions for performance optimization. Applications of two-stage DEA in conjunction with the case study that are meaningfully used in performance measurement areas have been scarce. In particular, this paper has the contribution to present a new performance measurement model considering the organization theory, the dynamic capabilities.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.3
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• pp.691-701
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• 2015

Recently, with the growing number of services using personal information, government offices' tasks have become more dependent to personal information. Various policies and systems have been made and managed for the safe use of personal information in the circumstances that inevitably require the use of personal information, but the personal information privacy incidents and their scale are on a constant increase. Thus, Korea has been implementing personal information protection management system since 2008 to examine whether public organizations observe the personal information protection act and to how well they manage the personal information, and to improve what is insufficient in the process. However, despite high scores of the outcomes of the system, questions about the effectiveness of the outcomes and about the actual manage level are being raised. Thus, this study seeks to analyze public organizations' activities to protect personal information and the effectiveness of their foundation efforts for them by using the DEA model, and to propose a new model to enhance the effectiveness of the outcomes of personal information protection management system by reflecting them into the outcomes of system, using the derived effectiveness.

• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.1-6
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• 2020

Information System is influenced by the innovation of new IT. Therefore, IS should response to external environment's changes quickly. Particularly, resilience should be considered in barriers of IS. This study suggests a new information system evaluation model in which resilience is added to the existing factors of Delone and Mclean. Then the effect of resilience is evaluated through the DEA(Data Envelopment Analysis) based on a survey targeting 115 users of a mid-sized manufacturing company. The results show that the effect of resilience is stronger than any other factors in the previous researches. We, thus, suggest that the resilience should be included as an evaluation factor of the ISO27001 information security standard in order to enhance the absorptive capacity of the information system.

• The Korean Journal of Financial Management
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• v.9 no.2
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• pp.77-100
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• 1992

경영성과(經營成果)의 평가지표(評價指漂)는 개별조직의 목표와 제약환경, 즉 이용가능한 자원량과 개별적 특수요인 등을 고려하여 설정하여야 하며, 산업내의 특성과 동질적 비교집단을 이해함으로써 조직의 성과와 직접적으로 연결될 수 있어야 한다. 또한 조직의 평가는 부분적(部分的)인 효율성(效率性)에 편중되지 않고 투입과 산출간의 유기적인 관계를 총체적인 관점에서 분석함으로써 종합적(綜合的) 효율성(效率性)에 그 촛점이 두어져야 한다. 이러한 문제의 인식에 바탕을 두어 본 연구에서는 Charnes, Cooper와 Rhodes(1978)에 의해 처음 개발되어 주로 비영리기관의 경영성과의 평가에 많이 사용하여 온 DEA(Data Envelopment Analysis)기법을 이용하여 금융기관(金融機關)의 효율성(效率性)을 평가(評價)한다. 금융기관은 다양한 투입요소를 사용하여 다양한 서비스 상품을 제공하는 조직이기 때문에, 또 재무비율을 이용한 기존의 평가나 통계적 생산함수의 추정에 의한 평가방법은 단순히 과거의 실적을 평가하는 데 그치게 되고 객관성이 결여되기 쉽기 때문에 조직의 미래운영방향의 설정에 도움이 되지 못한다는 단점을 가지고 있다. 그러나, DEA은 다수의 투입과 산출요소를 요구하는 경우에 적합하게 설계된 분석방법이므로 금융기관의 성과분석에 적절하게 이용될 수 있다. 본 연구에서는 먼저 금융기관(金融機關)의 효율성(效率性)을 평가(評價)하는 기존의 방법을 간략하게 검토한 다음, DEA에 관한 이론적 기초와 그 특성을 검토한다. 실증분석에서는 여 수신업무(與 受信業務)를 수행하고 있는 국내금융기관들 중에서 자료의 동질성과 표본대상 기업의 수를 고려하여 은행업(銀行業)과 투자금융업(投資金融業)을 선정하고 이들 업종에 속한 37개 회사들에 대한 운영효율성(運營效率性)을 측정한다. 투입요소로 직원의 수와 영업비용을, 그리고 산출요소로 영업수익과 경상이 익을 선정하고, 3년간의 자료를 사용하여 실증분석을 한다. 분석의 결과에 의하면, 18개 전체 은행의 평균적인 효율성의 정도는 가장 효율적인 은행을 기준으로 할 때, 약 85% 수준에 그치고 있어서, 나머지 대부분의 은행들 특히 대규모 시중은행들의 경영상의 개선의 여지가 매우 크다고 할 수 있다. 5대 시중은행들간에는 효율성의 차이가 거의 없는 반면, 지방은행들간에는 매우 큰 차이가 있는 것으로 나타난다. 이는 영업지역의 제한으로 인하여 지역경제 규모가 은행의 수지상황에 결정적인 영향을 미치고 있다는 것을 반영하고 있다. 29개 단자회사를 대상으로 한 투자금융업의 경우에도 은행업의 경우와 동일하게 낮은 효율성과 지역간 격차현상이 나타나고 있다.

• Journal of Korean Society for Quality Management
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• v.47 no.1
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• pp.33-46
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• 2019

Purpose: This study proposed a DEA (Data Envelopment Analysis)-based stepwise benchmarking target selection for inefficient DMU (Decision Making Unit) to improve its efficiency gradually to reach most efficient frontier considering resource (DEA inputs and outputs) improvement preferences. Methods: The proposed method proceeded in two steps. First step evaluates efficiency of DMUs by using DEA, and an evaluated DMU selects benchmarking targets of HCU (Hypothesis Composit Unit) or RU (Real Unit) considering resource improvement preferences. Second step selects stepwise benchmarking targets of the inefficient DMU. To achieve this, this study developed a new DEA model, which can select a benchmarking target of an inefficient DMU in considering inputs or outputs improvement preference, and suggested an algorithm, which can select stepwise benchmarking targets of the inefficient DMU. Results: The proposed method was applied to 34 international ports for validation. In efficiency evaluation, five ports was evaluated as most efficient port, and the remaining 29 ports was evaluated as relative inefficient port. When port 34 was supposed as evaluated DMU, its can select its four stepwise benchmarking targets in assigning the preference weight to inputs (berth length, total area of pier, CFS, number of loading machine) as (0.82, 1.00, 0.41, 0.00). Conclusion: For the validation of the proposed method, it applied to the 34 major ports around the world and selected stepwise benchmarking targets for an inefficient port to improve its efficiency gradually. We can say that the proposed method enables for inefficient DMU to establish more effective and practical benchmarking strategy than the conventional DEA because it considers the resource (inputs or outputs) improvement preference in selecting benchmarking targets gradually.

• International Area Studies Review
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• v.12 no.2
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• pp.79-97
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• 2008

After entering into the WTO in October, 2001, China started opening her bank industry on a full scale and her financial markets from the end of 2006. It is true that the Chinese commercial banks should make efforts to enhance their operational efficiency for adapting the rapid change of financial environments. In this paper, the efficiency of 4 Chinese state-owned commercial banks and 11 share holding commercial banks has been estimated. Our Tobit model to find out the determinants of these banks' efficiency. The results are as follows: The efficiency of these banks kept being improved from 1999 to 2003. With regard to the relationship between the determinants and the bank efficiency, their capital ratios, ownership structures and government subsidies are significant at the 5% level while the return on asset(ROA) is significant at the 10% level. The relationship between the determinants and the efficiency has showed that the size, capital ratios, ROA and ownership structure showed significantly before the entry to WTO, on the other hand, after WTO their capital ratios are the only factor to determine their efficiencies.

• Korea Trade Review
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• v.48 no.4
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• pp.121-148
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• 2023

The rapid melting of Arctic sea ice has increased interest in the Northern Sea Route (NSR) as a viable alternative trade route between Europe and Asia. While extensive research has examined its competitiveness in terms of technical feasibility, safety, profitability, and environmental impact, the topic of the NSR ports remains relatively underrepresented in the literature. Hence, this study aims to contribute to the existing research by assessing the efficiency of 17 NSR ports to gain insights into their operations and identify areas for improvement using models of Data Envelopment Analysis(DEA). The obtained results show that efficient ports mainly belong to the western NSR region, with ports like Murmansk and Varandei consistently demonstrating high efficiency and constant returns to scale. Several ports, such as Onega, Arkhangelsk, Naryan-Mar, and Khatanga, showed inefficiencies in the utilization of berths and quay lengths. The findings not only contribute to academic knowledge but also offer practical implications for NSR port authorities, assisting them in making well-informed decisions regarding infrastructure development plans.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.340-347
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• 2012

In Korea, the game software and service industry is the core cultural industry from it's significant academic and policy. However, recent growth is slowing down because of increasing competition in the industry. In other words, most of the companies growth have reached limit caused by focusing only on short-term revenue-generating management, Therefore, the game software and service companies are needed to emphasize strategic planning of R&D and product development based on the long-term perspective. The purpose of this analysis is to measure the efficiency of management by data envelopment analysis(DEA), using data from 20 companies in the game software and service industry. Input variances are number of labor, total asset, and total investment and output variances are total sale and enterprise value. The results are followings: First, There was a different efficiency between the companies in the game software and service industry. The eight companies was inefficiency. Second, six inefficiency companies were excessive number of the employees and investment assets. third, four companies were CRS, five companies were IRS and eleven companies were DRS. From the result, five companies have to increase the scale of input variance and eleven companies also have to improve efficiency of input variance.