• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.108-110
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• 2020

본 연구의 목적은 딥러닝 기법의 하나인 인공신경망 모델을 활용하여 선박의 가치평가 모델을 개발하는 것이다. 선박의 가치는 해운시장 변화와 밀접한 관계가 있으며, 경기 변동성이 크고 시장 민감성이 높은 해운시장의 특성상 가치의 불확실성 역시 높게 나타나고 있다. 이러한 선박가치의 중요성에도 불구하고 국내외적으로 선박가치평가의 체계 개선 및 평가모델의 객관성과 신뢰성을 제고시키기 위한 연구는 부족한 실정이다. 따라서 본 연구에서는 딥러닝 방법을 통해 선박의 가치를 산출하는 새로운 평가모델을 제시하고자 한다. 가치평가의 대상은 중고 VLCC선이며, 선행연구를 통해 선박의 가치 변화를 유발하는 주요 요인들을 선별하여 변수를 설정하고 2010년 1월부터 현재까지의 해당 데이터를 확보하였다. 교차검증을 통해 파라미터들을 추정하여 인공신경망의 최적 구조를 식별하고 이에 대한 객관성과 신뢰성을 검증한 결과 인공신경망 모델의 가치평가 정확성이 우수함을 확인하였다. 본 연구는 선박가치평가의 전통적 방법론에서 탈피하여 기계학습 기반의 딥러닝 모델을 활용한 측면에서 독창적인 의미가 있다.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.113-132
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• 2021

This study is a new evaluation using the Arrhenius equation, which is known as the chemical reaction rate estimation equation, to evaluate the intrinsic and extrinsic value elements of patents as a model. The performance of the evaluation model was superior to the SVM, Logistic reg. and ANN models that were used as patent evaluation models in prior studies. In addition, there was a strong correlation between the predicted lifespan of the patent and the actual lifespan of the patent. These evaluation models may be used for evaluation purposes only, or if an evaluation is required, including a commercialization entity or technical characteristics.

• Management & Information Systems Review
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• v.28 no.4
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• pp.27-44
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• 2009

Economic value of a certain technology is of great interest and importance in a wide variety of investment circumstances. These vary from companies considering investing in R&D projects, to venture capitalists funding start-up companies. However, such valuation is extremely difficult in any case, and the cost of failure can be very high. Many techniques have been proposed to assist managers facing this issue, from traditional discounted cash flow analysis to more recent methods based on real options. In the meantime, the discounted cash flow method has limitations in applying the valuation of technology. At the same time, there have been various solutions to overcome theoretical problems of the method. Real options have been thought as a solution. However, there are another problems in using them in real world. This paper reviews the previous studies on the valuation of technology in several aspects, discusses the practicability of the various methods available, and explore the application of a hybrid model, which aims to make these rather aore the ideas more accessible to practicing managers.

• The Journal of Bigdata
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• v.6 no.1
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• pp.153-160
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• 2021

This study examines previous studies on the income (profit) model, which is most used for valuation of data held by companies or institutions, and discusses key factors of the model and considerations in the data asset valuation process. Through this, it was confirmed that the shareability and utilization period of data assets are different from those of other companies. In addition, the value of data should be reviewed from various perspectives such as timeliness and accuracy. And for data asset value evaluation, it was derived that the user's use, ability to use, and value chain should be reviewed as a whole. As a future research direction, continuous research and development of models to be applied to actual business and revision of accounting law were proposed.

• Korea Trade Review
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• v.43 no.6
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• pp.193-214
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• 2018

The role of social value in public institutions has recently been emphasized. The purpose of this paper is to present key performance indicators(KPIs) and a development model for the realization of social value for port authorities. KPIs that could be quantitatively measured are presented with the five social value assessment indicators of the government management evaluation system for public institutions. Through the analysis of vision, mission and social value promotion strategies and stakeholders for each port authority, the concept of a customer-specific social value model is presented.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1724-1727
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• 2012

기업들은 ITIL 기반의 IT 서비스 관리체계 도입으로 IT 서비스에 대한 객관적인 가치 평가를 기대하고 도입한다. 하지만 기업들의 IT 서비스 관리체계의 성과지표들은 관리 중심적인 성과모델로써 가치 평가보다는 IT 운영 관리 중심으로 활용되고 있으며, IT 거버넌스의 전략적 의사결정을 위한 가치 연계와 책임 추적성, 성과 측정 및 위험 관리를 지원하지 못하고 있다. 가치 중심의 성과지표 모델을 통해 IT 거버넌스를 지원하고, 기업의 지속적이고 체계적인 투자관리를 통해 기업 가치 향상과 투명한 IT 투자에 기여하길 기대한다.

• Journal of the Korea Society of Computer and Information
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• v.5 no.2
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• pp.130-142
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• 2000

A model of value estimation for Technology Evaluation refers to technology and trade criterion is Presented on this study. Technology evaluation will be recognized to immediately solve the problem in government, Policy executive organs, enterprises. There is a necessity for fixing of technology evaluation institution to objectify technology evaluation method and means, to train and accumulate specialist of technology evaluation, to specialize technology evaluation organ, to secure public-trust, to spread application of technology evaluation results. And there will be become established consideration is indispensable to organize and operate Technology Exchange.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.130-133
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• 2000

Traffic이 집중되어 광고시장의 대부분을 장악하고 있다는 포탈서비스의 매력 때문에 많은 기업이 포탈 서비스 시장에 뛰어들고 있으나 투자자나 기업의 가치 향상을 위한 포탈 서비스기업의 가치에 대한 평가는 전무한 실정이다. 따라서 본 연구에서는 포탈 서비스의 특징과 영역을 정의하고 주요 성공요인을 도출함으로서 포탈 서비스 기업의 가치를 평가하는 기준, 그리고 기존의 재무 지표, 산업/시장의 성장 등 기존의 기업 평가 지표를 도출된 가치 평가 기준을 통하여 미래의 기업 가치까지 평가함으로서 포탈 서비스 기업의 가치를 평가할 수 있는 모델을 제시하였다.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.229-252
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• 2013

The aim for this study is to suggest a practical model to measure the financial values of the achievements from corporate research and development(R&D) projects. Performance indicators for R&D projects were identified from the extensive literature reviews and the evaluation methods to convert them into financial values were proposed to overcome the problems of excessive predictions and subjective expert assessments in existing methods. The proposed model was applied to R&D projects of an IT company in Korea for its validity test. The model is expected to be a turning point in economic evaluation of corporate R&D projects in general due to its practical and reasonable scheme.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.13-21
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• 2021

The purpose of this study is to develop the ship valuation model by utilizing the neural network model. The target of the valuation was secondhand VLCC. The variables were set as major factors inducing changes in the value of ship through prior research, and the corresponding data were collected on a monthly basis from January 2000 to August 2020. To determine the stability of subsequent variables, a multi-collinearity test was carried out and finally the research structure was designed by selecting six independent variables and one dependent variable. Based on this structure, a total of nine simulation models were designed using linear regression, neural network regression, and random forest algorithm. In addition, the accuracy of the evaluation results are improved through comparative verification between each model. As a result of the evaluation, it was found that the most accurate when the neural network regression model, which consist of a hidden layer composed of two layers, was simulated through comparison with actual VLCC values. The possible implications of this study first, creative research in terms of applying neural network model to ship valuation; this deviates from the existing formalized evaluation techniques. Second, the objectivity of research results was enhanced from a dynamic perspective by analyzing and predicting the factors of changes in the shipping. market.