• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.31-41
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• 2010

The objective of this paper is to evaluate production efficiency of the commercial road freight transportation industry using quarterly actual data by individual truck drivers from January 2005 to September 2009. In addition, this study analyzes various impact factors that influence production efficiency, including regulatory factors (e.g., entrust management system and multi-level transactions). For this purpose, this study uses data envelopment analysis and a truncated Tobit model. As a result, production efficiency of the general freight sector is higher than those of the other two sectors. Also, production efficiency in the steel goods sector ranks the highest; meanwhile, production efficiency in the oil goods sector ranks the lowest. In particular, production efficiency indicators of the commercial road freight transportation industry fluctuate with time by a small margin, and have an upward tendency on the whole. Finally, some policy implications are given to promote production efficiency of the commercial road freight transportation industry.

• 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.

• 한국IT서비스학회:학술대회논문집
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• 2010.05a
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• pp.365-371
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• 2010

네트워크 보안에서의 효율성은 침입차단 성능과 시스템 performance로 대표된다. 네트워크 보안의 성능 향상을 위해서는 네트워크 인프라스트럭쳐 에서의 기능적인 효율성을 우선 확보해야 한다. 그동안 네트워크 보안 효율성 제고 달성에 관한 많은 방법론들이 연구되었다. 이같은 연구의 목적은 인프라스트럭쳐에서의 효율성 메커니즘 구현을 통해 빠른 응답시간내에 보다 우수한 침입차단을 실현하는 것이다. 이를 위해서 네트워크 보안 도메인 효율성 구조를 설계하고 구조별 효율성 측정방법을 연구함으로써 인프라스트럭쳐상에서의 보안방법론 모델을 제안하였다. 본 연구에서 제안한 방법론을 통해 체계적인 도메인 설계와 측정방법을 실시할 경우 운용인프라스트럭쳐 시스템상에서 보안 효율성 확보가 가능함이 입증되었다.

• Journal of the Korean Society for Railway
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• v.13 no.3
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• pp.349-355
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• 2010

The purpose of this paper is to provide basic information on how to make better policies that improves efficiencies and to derive policy directions using DEA (data envelopment analysis) model. Through this paper, we can identify whether or not the railroad service has an excellent performance, if there are any structural problems, in which sector it is experiencing a degree of inefficiency, and, therefore, how to set up a realistic target to improve efficiency of railroad transportation. According to the result, we need to introduce a better resource efficient economic strategy to reduce the rail line extension and the number of passenger cars for better efficiency from a public interest perspective, while to widen headways and/or reduce the rail line extension from an economic point of view.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.95-103
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• 2008

본 논문에서는 업무할당방식이 효율성에 미치는 영향을 분석함으로써, BPM 업무환경에서 효율성을 증진시키기 위한 방법론을 모색한다. 이를 위해, 업무할당방식을 프로세스 실행시에 사용자를 할당하는 동적할당과 프로세스 모델링시에 결정하는 정적할당으로 구분하여 BP효율성 관점에서 상호 비교한다. 지금까지 이런 업무 할당방식이 업무효율성에 어떤 영향을 미치는지에 대한 연구가 없었으며, 본 논문은 cycle time 척도에 대해서 이들 업무할당방식을 비교 분석한다. 이러한 비교 분석의 결과는 상용 BPM를 도입하여 운영하는 기업에게 업무효율성을 높이는 가이드라인을 제시할 수 있다.

• Journal of Korean Society of Transportation
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• v.23 no.5 s.83
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• pp.15-25
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• 2005

Using a stochastic cost frontier approach(SCFA), this paper annually estimates the efficiency and productivity with same data in the papers which analyze the efficiency and productivity using data envelopment analysis(DEA) to compare the results and suggest the political findings of raising the efficiency and productivity for three publicly-owned rail transit properties. the Seoul Subway Corporation (SSC), the Seoul Metropolitan Electrified Railways Sector of Korea National Railroad (SMESRS) and the Busan Urban Transit Authority (BUTA). The results show that the results of SCFA are higher than DEA for efficiency and lower for productivity in that DEA regards the stochastic error and measurement error as the inefficiency contrary to SFCA. But the political findings from these results appears to be similar as follows. First, the productivity of the three properties should be first improved by using existing technologies efficiently and then by introducing new ones. Second, the three properties should improve the technical efficiency through reducing input quantities to raise their efficiency. Finally, all the three components of the productivity such as productive efficiency change, technical change, and scale change should be considered to evaluate their productivity more correctly.

• Korean Journal of Construction Engineering and Management
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• v.25 no.2
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• pp.45-55
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• 2024

This study analyzed the efficiency determinants of specialty construction companies by industry using the DEA model and the Tobit model. The analysis targets are 394 specialty construction companies as of 2022. As a result of analysis of efficiency determinants using 12 company characteristics as independent variables, the biggest problem for specialty construction companies was overall efficiency reduction due to rising labor costs. In addition, in a situation where construction companies' loan regulations are severe, the debt ratio was found to have a positive effect on efficiency. Company size had a different impact by industry, and the number of businesses held, credit score, and total capital turnover had an effect only on some industries. This study presents results that are an advance on existing research in that it strategically analyzes factors for improving the efficiency of specialty construction companies. However, it has limitations such as limiting the analysis to only specialty construction companies subject to external audit, insufficient number of companies subject to analysis by industry, and analyzing relative efficiency in the same category for each industry.

• The Korean Journal of Financial Management
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• v.19 no.1
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• pp.133-151
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• 2002

본 연구는 Malmquist지수를 이용하여 1997년 외환위기 때부터 2000년까지 국내은행의 생산성 변화를 순수기술효율성, 규모효율성 및 기술진보의 변화로 구분하여 측정함과 동시에 서울소재은행과 지방은행간의 생산성을 비교하였다. 1997년과 2000년간의 순수기술효율성의 변화는 감소하였지만, 규모효율성과 기술진보의 변화가 순수기술효율성의 하락 부분을 상쇄한 결과로 2000년에는 1997년의 생산성 수준을 회복하였다는 것을 확인하였다. $1997{\sim}2000$년의 서울소재 은행과 지방은행간을 비교한 결과에 의하면 서울소재은행의 생산성이 높게 나타났다. 두 집단간에 이러한 차이는 규모효율성으로부터 기인하였으며, 기술혁신을 의미하는 기술진보의 변화에는 두 집단간에 차이가 없었다. 특히 지방은행의 생산성은 2000년에도 1997년도 수준을 회복하지 못하고 있다.

• Proceedings of the KOR-KST Conference
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• 2002.02a
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• pp.3-13
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• 2002

미국의 전체 버스시스템의 횡단면자료를 가지고 민간위탁운영과 정부직영을 비교 분석한 결과, 민간위탁운영과 정부직영의 버스서비스 공급에 있어 효과성과 공적책무성 측면에서 중요한 차이점이 있는 것으로 분석되었다. 효율성 비교분석에서는 효율성 측정을 위해 어떤 지표를 사용하느냐에 따라 민간위탁과 정부직영중 어느 버스운영시스템이 더 효율적인지에 대해 전혀 다른 결과를 보였다. 즉 효율성은 어느 운영시스템이 더 효율적이라고 단정할 수 없었다. 효과성분석에서는 정부직영이 민간위탁보다 더욱 효과적인 것으로 분석되었다. 공적책무성 분석에서는 민간위탁운영은 공공성의 소극적지표인 공적책무성을 정부직영에 비해 감소시키는 것으로 분석되었다.

• 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.