• Title/Summary/Keyword: 투입산출분석

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A Measurement Way of Operation Risk Evaluation of Korean Seaports Using Negative DEA (Negative DEA를 이용한 국내항만의 운영위험평가 측정방법)

  • Park, Ro-Kyung
    • Journal of Korea Port Economic Association
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    • v.25 no.2
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    • pp.57-72
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    • 2009
  • The purpose of this paper is to show the empirical measurement way of operation risk evaluation in domestic seaports for overcoming the limitations which the traditional DEA method has by using 13 Korean ports in 2003 for 4 inputs(birthing capacity, cargo handling capacity, number of coastal guard vessel, number o f coastal special guard vessel ) and 5 outputs(Export and Import Quantity, Number of Ship Calls, number of coastal accident, number of coastal crime, number of coastal pollution). Because traditional DEA method has produced the limited set of information, negative DEA mixed with tier, stratification and layering methods should be adopted. The goal of negative DEA is to set up DEA models that will place the poor operating ports on or close to the empirical frontier. The core empirical results of this paper are as follows. First, Donghae ports should benchmark the operation way of Yeasu, Busan, Woolsan ports in terms of the middle and longterm base. Second, 5 ports(ports of Taean, Yeasu, Tongyoung, Busan, Sokcho) which were revealed as the poor operating ports in Negative DEA analysis should benchmark Incheon, Woolsan, Pohan, and Donhae ports. The policy implication to the Korean seaports and planners is that Korean seaports should introduce the new methods like Negative DEA of this paper for predicting the poor operating in the ports.

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6시그마 기법에 의한 폐수처리 약품투입 최적조건 산출

  • 진민호
    • Environmental engineer
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    • v.18 s.196
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    • pp.52-57
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    • 2002
  • 통계적인 상관관계 분석이나, 과학적인 실험계획 등을 통하여 결과를 예측하고, 예측된 결과가 개선효과로 나타남으로써 시그마 추진에 대한 신뢰도가 향후 더욱 높아질 것으로 기대된다.

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A Study on the Efficiency Measurement of Regional Maritime Affairs and Fisheries Office by DEA Method (DEA에 의한 지방해양수산청 효율성 비교 분석에 관한 연구)

  • Lee, Nam-Kyu;Kim, Si-Hwa
    • Journal of Navigation and Port Research
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    • v.32 no.1
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    • pp.73-80
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    • 2008
  • The purpose of this paper is to measure the productive efficiency and competitive strength of Regional Maritime Affairs and Fisheries Office using the DEA. Using EMS(Efficiency Measurement System) which is LP solver, quantifies in one way or another a "distance" to the efficient frontier of the technology. An input oriented measure quantifies the input reduction which is necessary to become efficient holding the output constant. Symmetrically, an output oriented measure quantifies the necessary to become efficient holding the inputs constant. A non-oriented measure quantifies necessary improvements when both inputs and outputs can be improved simultaneously. According to the analysis result of the DEA method, inefficient Regional Maritime Affairs and Fisheries Office should recommend benchmarking reference Regional Maritime Affairs and Fisheries Office in order to enhance the productive efficiency of port administration and a public institution. Besides data on productive efficiency serves as a tool for policy-makers at all levels of activity and is essential for improving the efficiency with which the various systems operate.

Analysis on Time Lag Effect of Firm's R&D Investment (기업 R&D 투자의 시차효과 분석)

  • Lee, Hun-jun;Baek, Chulwoo;Lee, Jeong-dong
    • Journal of Technology Innovation
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    • v.22 no.1
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    • pp.1-22
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    • 2014
  • R&D investment also has a gestation period similar to other investments in economics. The gestation period originates from time lag effect of input and output. Thus it is necessary to consider time lag effects when analyzing the relationship between firms' R&D investment and R&D performance. The main objective of this research is to estimate the length of time lag effect of R&D investment. The Almon distribution lag model was applied to estimate the time lag effect. The firm level panel dataset was established from 2002 to 2009. The net value of R&D investment and the number of patent applications were used to measure R&D input and output, respectively. This method found the estimated time lag to be 1~2 years across all datasets. The same analyses were applied to chemical, metal, electronic, exact science, and machinery industries' data. And we found there were differences among sectors in regard to the time lag effect.

Influencing Factors in Implementing the Web-Based Cyber Education (웹기반 사이버 강의의 영향 요인 분석 연구)

  • Lee Suk-Yeol
    • Journal of Digital Contents Society
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    • v.6 no.4
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    • pp.235-242
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    • 2005
  • This Study examines influencing factors such as input, process, and output variables on1 student's satisfaction in cyber-education. That is to study on the effectiveness of input, process, and output variables for cyber-education and how does student's interaction moderate influencing factors and student satisfaction. The study was carried out through literature and empirical study. Questionnaire was used to varify the hypothesis based on which the input-process-output with system models were established. The result of hypothesis verification in this study is as follows : First, learning hour and grade showed a positive influence on the students' satisfaction in learning factors. Second reliant of professor, recognized teaming participate, and contents showed a positive influence on the students' satisfaction in system factors. Third, an interesting findings emerged throughout the analysis, showed that process variables were rather meaning factor than input variables.

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LCD 장비 업계의 경영성과에 관한 연구

  • Kim, Chang-Su;Lee, Mun-Gyo
    • 한국경영정보학회:학술대회논문집
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    • 2007.06a
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    • pp.1049-1054
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    • 2007
  • 모든 기업들의 주요 목표는 경영성과를 얼마나 달성 했는가에 대한 것이 중요시 된다는 것은 모두가 알고 있는 사실이다. 경영성과를 극대화 하기 위해 많은 기업들은 다양한 경영혁신 활동을 도입하고 있다. 경영활동에서 중요한 것은 경영성과의 효과도 중요 하지만 투입 대비 산출 개념의 효율성도 상당히 중요하다. 매년 기업들은 성과에 대한 집계를 통해 관리를 하고 있으며, 경영성과에 대한 효율 측면에 대한 관리도 중요시 되어 관리되고 있다. 경영성과의 효율성에서 투입물은 총자산, 종업원, 운영비 등이 주요 항목이며 산출물은 매출액, 당기 순이익 등이 주요 항목일 것이다. 본 연구에서는 기업들의 경영성과에 대하여 DEA 분석을 통한 경영효율성을 산출하고 기업들의 중.장기적으로 경영계획을 수립할 때 경영성과에 대한 효율측면이 고려 될 수 있도록 연구하고자 한다.

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A Data Envelopment Analysis of the Efficiency of Credit Unions (DEA를 이용한 신용협동조합의 효율성 평가)

  • Hong, Bong-Young;Koo, Chung-Ok
    • The Korean Journal of Financial Management
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    • v.17 no.2
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    • pp.277-292
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    • 2000
  • 본 연구는 Charnes, Cooper와 Rhodes에 의하여 고안된 DEA기법을 이용하여 서울지역에 소재하고 있는 지역신용협동조합의 운영효율성을 평가하였다. 여기에서는 금융기관은 금융서비스를 제공하는 생산체로 보아 예수금은 산출물로 취급하여, 투입물은 직원수 영업장의 면적(또는 업무용부동산), 경비 등으로 하고, 산출물은 신규예금취급건수, 신규대출건수, 예수금기말잔액, 대출금기말잔액, 영업이익 등으로 하여 DEA모형의 데이터로 사용하였다. DEA에 의한 연구 결과는 기존의 경영평가방법이 제공할 수 없는 유용한 정보를 제공하고 있으며, 이러한 정보를 이용하여 투입물과 산출물을 효율적으로 관리할 수 있다는 것을 보여 준다. 그러므로 DEA에 의한 분석정보와 기존의 경영평가방법에 의한 정보를 적절하게 사용하면 조합들의 운영효율성을 개선하는 데 도움이 될 것이다.

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A Study on the Price Determination for Korea Land Information System (토지정보시스템의 판매 가격 산출에 관한 연구)

  • Lee, Yong-Wook
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.26 no.3
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    • pp.293-301
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    • 2008
  • The purpose of this study is price determination for KLIS (Korea Land Information System) which Korea government established. For this purpose, I analyzed cost accounting and made the KLIS selling price according to selling amount, recovery rate and information volume. In case of recovery rate, the cost was expensive but, in case of information volume the cost was cheap. So, the price determination for KLIS should be resonable according to information volume considering GIS revitalization.

Analysis of the Efficiency of Chinese Repair Shipbuilding Industry (중국 수리조선산업의 효율성 분석에 관한 연구)

  • Yang, Yun Ok;Wang, Gao Feng
    • Journal of Korea Port Economic Association
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    • v.33 no.4
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    • pp.117-134
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    • 2017
  • The purpose of this research is to analyze the efficiency of the Chinese repair shipbuilding industry using a DEA model with 12 Chinese repair shipbuilding companies. Unlike preceding studies, this study has different research subjects as well as selected input and output variables. The research was conducted with competitive Chinese companies in the market. For the efficiency analysis, input variables included the number of technicians as well as facilities, and output variables were diversified with relevant factors using the number of repaired ships and service ranges as well as sales. The differences were analyzed by including only facilities as an input variable for the DEA model, and then both facilities and technicians. For inefficient DMUs, the strengths and weaknesses were analyzed by finding the causes through a reference group, which was developed into an efficient DMU. Moreover, public and private companies were separated to develop improvement measures.