• Journal of Technology Innovation
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• v.22 no.2
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• pp.221-245
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• 2014

In the era of fierce global competition and short product life cycle, firms have been interested in the technology valuation to improve their competitiveness. As the technology valuation may become a key issue for countries and industries, the development of technology valuation method has become increasingly important. Thus, this study aims to suggest a novel method to assess technology value by applying conjoint analysis to bibilographic information of patent. For this purpose, we firstly identified nine patent indexes categorized in three attributes - technological superiority, marketability and legal rights. Then, we collected actual data on patent transactions including their patent attributes and market prices. Based on the data, we could obtain the patent index values. Finally, we applied conjoint analysis to the prices and patent index values as a basis for technology valuation. The suggested method is expected to be an effective tool for technology valuation by using real transaction data rather than relying heavily on experts assessment.

• Explosives and Blasting
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• v.18 no.2
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• pp.7-13
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• 2000

Abstract The characteristics of bed rock in the study area was classified by means of the crack coefficient estimated from the seismic velocities of in-situ and intact rocks. Various statistical methods were investigated in order to minimize the possible errors in estimating the predictive equation of blasting vibration and to enhance the determination coefficient $R^2$, for more reliable estimation. The determination coefficient showed the highest in the analysis for those groups using weighting function with the number of samples. The analysis for the weighting function employed with standard coefficient and variance also enhanced the determination coefficients significantly compared to the others, but the reliability was slightly lower than results obtained former method. Therefore the most reliable predictive equation of blasting vibration was found to be obtained from a regression analysis of the mean vibration level using the weighting of same distance groups within 15m with the same explosive charge weight per delay. The coefficients, K and n 317.4 and -1.66, respectively, when using the square root scaling, and 209.9 and -1.66, respectively, when using the cube root scaling. The analysis also showed that the square root scaling may be used in the distance less than 31m form the blast source, and the cube root scaling in the distance more than 31m for safe design.

• Journal of Korea Technology Innovation Society
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• v.14 no.1
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• pp.60-84
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• 2011

This study accomplished technology improvement assessment of Gashydrate R&D project using ANP method which can deal with the sophisticated decisions involving a variety of interactions and dependencies. Criteria were selected by consultation and questionnaires with experts in four technology parts of gas hydrate project, and then the network was formed from relation with criteria and alternatives. As the result of analysis, the weight matrix was derived and the various relation in the network was able to be verified. The analysis was accomplished with four technology parts - geophysical exploration technology, geological and geochemical technology, analysis of deep-drill cores and stability technology, production technology - and the 'reliability' criterion ranked the highest of all parts. The rank of other criteria and the result of technology improvement assessment reflected the level of each technology. Thus, the result of this study will contribute to policy decision-making for developing and evaluating gas hydrate technology and other R&D projects.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.63-68
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• 2014

This study show that the policy direction to invigorate smart education for special education based on the view of parents of students with disability through AHP methodology. The result show that development of smart contents, supporting infrastructure, supporting teaching and learning, arrangement for legal basis and building smart education network are relatively important policy ordered by weights. The analysis of weights of sub-factors indicates that various smart contents development considering inability characteristics, the developments of smart devices considering accessibility and preparing legal basis for financial support are important to invigorate smart education for special students ordered by weights.

• 재활복지
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• v.20 no.4
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• pp.177-201
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• 2016

The purpose of this study is to develop systematical components and implementation of rehabilitation physical activity by analyzing the relative importance among each factor. To achieve the purpose of this study, 20 participants were selected, and they consisted of instructors and adapted physical activity teachers and professional who have experiences in institutes and hospital where have operate program related to rehabilitation physical activity and adapted physical activity program. Delphi technique was conducted for three times by the participants. For the decision of priorities about improvement factors, AHP was performed. The results were as follows. As the result of this study, the factors of the rehabilitation physical activity consisted of six type of exercise; fitness, psychological exercise, aquatic exercise, sense & perception exercise, ambulatory exercise, and motor skills. Also, 21 sub-factors were also extracted. The result from analyzing the priorities of factors was fitness 33.2%, aquatic exercise 20.6%, psychological exercise 16.3%, sense & perception exercise 11.7%, ambulatory exercise 10.8% and motor skills 8.6%. Also, among results from the weighted state of priority factors, muscular strength and endurance were the most importance factor which had 23.4% weighting, and meditation was the least importance factor which had 0.5% weighting.

• Journal of Global Scholars of Marketing Science
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• v.2
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• pp.81-92
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• 1998

기업이 직면하고 있는 환경은 과거 어느 때보다 더 불확실하다. 생존을 위한 노력의 일환으로 강력한 예산통제를 실시하고 있는 기업의 최고경영자는 가장 우선적으로 마케팅활동부문을 고려대상으로 여긴다. 이러한 성향은 기업내에서 마케팅활동의 결과인 마케팅성과를 명확하게 파악하기 어렵기 때문에 나타난다. 따라서 본 연구에서는 마케팅성과의 지표인 마케팅효과성을 측정하기 위한 하나의 방법을 제안하고, 이 방법이 전략적 마케팅계획수립을 위한 다양한 도구중 하나로 사용가능한지를 실증조사를 통해 살펴보았다. 먼저 마케팅효과성의 지표로 사용 가능한 10개의 기준변수를 찾고, 발견된 지표들의 총가치를 계산함으로써 마케팅효과성의 수준을 나타내는 수치를 도출하였다. 식음료, 섬유/의류, 제약, 화학, 전기/전자, 기타 소비재 제조업체로부터 얻은 53개 설문자료를 통해 마케팅효과성을 측정하기 위한 4개의 방정식(마케팅믹스성과, 마케팅비용과 투자성과, 판매성과, 이익성과)을 도출할 수 있었다. 그러나 예비적 성격을 띄고 있는 본 연구는 표본기업의 수가 적고, 한정된 업종에 제한과 횡단적 분석 등으로 인해 일반화에 한계를 지니고 있다. 향후 효과성지표에 대한 정교한 목록개발과 종단적 연구를 통한 질적, 양적 지표의 성과간 비교와 가중치 변화추이에 따른 효과성측정 등의 추가적 연구가 수반되어야 한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.19-19
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• 2017

본 연구에서는 선행연구에서 제안한 '레이더 폴리곤 기법(Radar polygon Method, PRM)'의 개선방안을 도출하고 산지 및 평야 등 다양한 지형조건을 갖춘 대상유역을 선택하여 제안된 기법을 적용 검토하였다. RPM은 강우공간분포의 실측자료인 기상레이더 자료를 이용하여 지점관측소가 위치한 곳에서의 강우강도와 주변지역의 강우강도를 비교하여 지배범위를 결정하는 방법으로 기존에는 일정한 차이 범위 안에 있는 유사한 강우강도가 발생했던 빈도를 기준으로 관측소의 지배 범위를 결정하였으나, 금회에는 지점관측소가 위치한 곳에서의 강우강도와 주변지역의 강우강도의 비의 합을 기준으로 지배범위를 결정하는 방법을 적용하여 개선된 결과를 도출하였다. 또한, 4개 대상유역을 선정하여 RPM을 적용, 레이더 강우자료의 적용 개수에 따른 민감도 분석 및 지형에 따른 영향 등을 검토하였다. 본 연구는 관측기간 및 정확도의 문제로 인하여 제한적으로 활용되어 온 레이더 강우관측 자료의 새로운 활용분야를 개척하였다는 점에서 큰 의미를 찾을 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.220-227
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• 2014

This paper introduces and applies the World Bank's methodology for constructing composite index or aggregating indicators. After recalculating the world competitiveness index of IMD using Unobserved Component Model(UCM) we compare it with the existing index and try to find some implications. We also try to construct the composite index for measuring the performance of local finance. We employ the Principal Component Analysis(PCA) for validating the appropriateness of selected indicators used in making the composite index. We found that the UCM and PCA are very useful and will be used widely in various evaluations such as regional development, local finance, local competitiveness and public enterprise, etc.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.4
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• pp.915-923
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• 2007

Recently we can see many cases that the CRM Systems are implemented and operated in Hospitals. The reason for such situation is the management environments in medical service market is changing rapidly one hand, and on the other hand the competitions among the Hospitals became more severe. In this paper we try to present the factors and weights as index for the measurement of Hospital CRM's System Performance. To achieve this goal, we derived the primary factors for the success of the CRM Systems based on the precedent researches, and futhermore carry out the verification of the rightness of those factors. For the verification of the rightness of the factors, we employ the Structured-Model-Analysis Method of AMOS. This enhance the meaning of the analysis result of the factors. And we use the AHP method to compare the importance grade of each success factors, because the comparison of importance level of each success factor is very crucial for the measurement of the Hospital CRM's system performance. As a result, we derived the primary factors and analyzed the weights in this paper, which might be used as the guiding Index for the measurement of the Hospital CRM' System Performance.

• Korean Journal of Construction Engineering and Management
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• v.11 no.4
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• pp.22-31
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• 2010

Because the estimated cost at early stage has great influence on decisions of project owner, the importance of early cost estimation is increasing. However, it depends on experience and knowledge of the estimator mainly due to shortage of information. Those tendency developed into case-based reasoning(CBR) method which solves new problems by adapting previous solution to similar past problems. The performance of CBR model is affected by attribute weight, so that its accurate determination is necessary. Previous research utilizes mathematical method or subjective judgement of estimator. In order to improve the problem of previous research, this suggests CBR schematic cost estimation method using genetic algorithm to determine attribute weight. The cost model employs nearest neighbor retrieval for selecting past case. And it estimates the cost of new cases based on cost information of extracted cases. As the result of validation for 17 testing cases, 3.57% of error rate is calculated. This rate is superior to accuracy rate proposed by AACE and the method to determine attribute weight using multiple regression analysis and feature counting. The CBR cost estimation method improve the accuracy by introducing genetic algorithm for attribute weight. Moreover, this makes user understand the problem-solving process easier than other artificial intelligence method, and find solution within short time through case retrieval algorithm.