• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.34-46
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• 2021

In the domestic data exchanging market, unreasonable pricing of purchase data is consistently mentioned as a major obstacle in data trading. This is a problem caused by the inability to properly evaluate the value of data products due to lack of product information and experience in using them. In order to activate trading, the data exchanges need to provide information that allows consumers to comprehensively judge the value of data products in addition to prices. The cost-based, income-based, and market-based methods, which are mainly applied to data valuation, are insufficient as data valuation methods to stimulate trading and distribution because only price information, a result of valuation from a supplier's point of view, can be shared with consumers. This study aims to develop a measurable valuation method that allows data trading stakeholders (exchanges, suppliers, and consumers) to judge and share the value of data products from a common perspective. To this end, we identified the value drivers of data products, which are considered important in overseas data exchanges and related research, and derived an evaluation method that can quantitatively measure each value driver. In addition, evaluation criteria in the form of a rating table were developed using data products for transactions, and a value evaluation index was developed through stratification analysis (AHP) to enable relative value comparison. As a result of applying the evaluation criteria to actual data products, it was found that the evaluation values were differentiated according to the characteristics of individual data products, so it could be used as a relative value comparison tool.

• Journal of the Korean Data and Information Science Society
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• v.14 no.2
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• pp.209-216
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• 2003

Contingent valuation method (CVM) is a main evaluation method of nonmarket goods for which markets either do not exist at all or do exist only incompletely; an example is environmental good. A dichotomous choice approach, the most popular type of CVM in environmental economics, employs binary discrete choice models as statistical estimation models. In this paper, we propose a semiparametric dichotomous choice CVM method using local linear model of Fan and Gijbels (1996) in which probability distribution of error term is specified parametrically but latent structural function is specified nonparametrically. The computation procedures of the proposed method are illustrated with a simple design of simulations.

• Journal of Information Management
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• v.36 no.3
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• pp.167-182
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• 2005

This study is to provide the customer's satisfaction and the economic evaluation model for the KISTI S&T Informaion Analysis Report with the results of the survey. Recently the important issue for the informaion analysis service is make policies that reflect the proper demand and satisfaction of customers. In this paper, we explain how the evaluate of information analysis service in the customer's satisfaction and the economic valuation model can be estimated using survey. In such a setting, the customer's satisfaction and the economic evaluation model are important methods for the reflection of monitored information in national scientific and technological policies.

• Information Systems Review
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• v.4 no.1
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• pp.69-87
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• 2002

As the society of knowledge becomes, the most competitive resource for corporations is knowledge. Furthermore corporations may evaluate and improve latent knowledge of `Intellectual Capital' (IC), which will be directly related with the existence of corporation in the future. Although it has been researched and proposed to evaluate IC value that is ignored relatively to tangible asset, the indexes of evaluating IC have never been examined and have been adopted by many corporations. Furthermore, as there is no systematic model to evaluate IC value, each corporation should re-evaluate IC valuation model. Economic wastes have been created under this situation. Therefore this study intends to develop a synthetic and systematic model for IC valuation. Consequently the model is consisted of 3 dimensions, 10 factors, 22 evaluation criteria, and 82 indexes, which was necessary for IC valuation. This model will be practically applied to IC valuation of corporations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1710-1719
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• 2019

This study is intended to understand defense technologies that require the convergence of various technologies and the integration of systems, and to propose valuation methods that reflect the characteristics of each field. The measure of technology level, integration (system integration technology) between technologies, preparation of manufacturing, and maturity scale of the weapons system to be valued are measured according to the items of measurement factors to verify system performance, and to present a framework for estimating the quantitative values of core technologies using system maturity. Considering the characteristics of each technology field, the research suggests a proper valuation method. In evaluating the value of defense technologies, A proposal is made to evaluate the value of defense technology by competent technical experts in each field, using SRL, which can be evaluated according to the evaluation criteria reflecting the technical characteristics of each field, and to evaluate the completion of the entire system in quantitative terms.

• Journal of the military operations research society of Korea
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• v.33 no.2
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• pp.75-86
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• 2007

This paper presents the overall valuation framework of the Army Tactical Command Information System(ATCIS) with its empirical data which is developed by the ROK Army in 2005 with its own R&D efforts over the past 10 years. The valuation with the appropriate methods is conducted through the full and relentless support of ROK Army HQs, defense agencies, and related firms. And the results include both qualitative and quantitative values of the ATCIS in perspectives of economic, technical, and defense strength effects. As a result, the development of ATCIS is valued over 1.7291 trillion Won which is over 6.55 times benefit and cost ratio comparing with other country's similar system. The worth of this paper includes the actual framework and methods to apply the valuation of other weapon systems and its preliminary research, defense offset valuation, performance evaluation and others.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.179-189
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• 2014

Unlisted stocks, each country applies a systematic evaluation of the proposed regulations and how the objectivity and reliability of the valuation is trying to improve. In the case of Korea, the law relating to the assessment of unlisted stocks of a representative and 'Inheritance and Gift Tax Law' and the majority of the information in accordance with this law is. IFRS to the valuation of securities at fair value, such as unlisted stocks, but with the exception that non-marketable securities, the acquisition cost can be replaced by a well-known professional organizations calculation of the amount of stocks that the rules are followed. Therefore, in this study, together with the other examples given statutory valuation theory or technique has been referred to various valuation models in practice. It is significant to provide data that can be used to present a variety of methods for the valuation of unlisted shares and enable rationalization study. But the limitations of this study, the implication is obtained through a single enterprise, the research will continue to be applied to the case study and plan the future by the various sectors of the corporate scale.

• Journal of Information Science Theory and Practice
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• v.4 no.1
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• pp.21-29
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• 2016

Given the difference in research performance in various scientific fields, this study aims to weight and valuate current indicators used for evaluation of scientific productions (publications), in order to adjust these indicators in comparison to each other and make possible a more precise evaluation of scientific productions. This is a scientometrics study using documentary, evaluative, and survey techniques. The statistical population consisted of 106 top Iranian researchers, scientists, and scientific and research managers. Then their research résumé information was gathered and analyzed based on research questions. In order to compare values, the data gathered from research production performance of the population was weighted using Shannon entropy method. Also, the weights of each scientific production importance according to expert opinions (extracted from other works) was analyzed and after adjustment the final weight of each scientific production was determined. A pairwise matrix was used in order to determine the ratios. According to the results, in the area of engineering sciences, patents (0.142) in the area of science, international articles (0.074) in the area of humanities and social sciences, books (0.174), and in the area of medical sciences, international articles (0.111) had the highest weight compared to other information formats. By dividing the weights for each type of publication, the value of each scientific production compared to other scientific productions in the same field and productions of other fields was calculated. Validation of the results in the studied population resulted in very high credibility for all investigated indicators in all four fields. By using these values and normalized ratios of publication indicators it is possible to achieve precise and adjusted results, making it possible to feasibly use these results in realistic policy making.

• Journal of Technology Innovation
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• v.24 no.4
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• pp.277-307
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• 2016

Since 2011, DCF(Discounted Cash Flow) method has been used initiatively for valuating R&D technology assets in the agricultural food industry and recently technology valuation based on royalties comparison among technology transfer transactions has been also carried out in parallel when evaluating the technology assets such as new seed development technologies. Since the DCF method which has been known until now has many input variables to be estimated, sophisticated estimation has been demanded at the time of technology valuation. In addition, considering more similar trading cases when applying sales transaction comparison or industry norm method based on information of technology transfer royalty, it is an important issue that should be taken into account in the same way in the Agri-Food industry. The main input variables used for technology valuation in the Agri-Food industry are life cycle of technology asset, the financial information related to the Agri-Food industry, discount rate, and technology contribution rate. The latest infrastructure building and data updating related to technology valuation has been carried out on a regular basis in the evaluation organization of the Agri-Food segment. This study verifies the key variables that give the most important impact on the results for the existing technology valuation in the Agri-Food industry and clarifies the difference between the existing valuation result and the outcome by referring the support information that is derived through the latest input information applied in DCF method. In addition, while presenting the scheme to complement fragment information which the latest input data just influence result of technology valuation, we tried to perform comparative analysis between the existing valuation results and the evaluated outcome after the latest of reference data for making a decision the input values to be estimated in DCF. To perform these analyzes, it was first selected the representative cases evaluated past in the Agri-Food industry, applied a sensitivity analysis for input variables based on these selected cases, and then executed a simulation analysis utilizing the key input variables derived from sensitivity analysis. The results of this study is to provide the information which there are the need for modernization of the data related to the input variables that are utilized during valuating technology assets in the Agri-Food sector and for building the infrastructure of the key input variables in DCF. Therefore it is expected to provide more fruitful information about the results of valuation.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.439-442
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• 2008

국가연구개발사업은 국가연구개발사업의 관리 등에 대한 규정 제17조에 의거하여 연구개발결과를 활용하는데 그 목적을 가진다. 그러나, 사실상 최근 국가연구개발사업을 통해 개발된 연구기술들은 특허 등의 라이선스를 획득하고 기술이전을 통해 사업화로 이어지는 사례가 매우 미미하다. 실제로 2005년 산업자원부의 조사에 따르면, 국가연구개발사업의 사업화 성공률은 평균 31.4%로 선진국의 1/2에도 못 미치는 수준이다. 따라서, 본 논문에서는 국가연구개발사업의 예산 대비 기술이전 및 확산을 통한 기술사업화 성공률을 높이기 위한 하나의 방법으로, 연구과제 평가 시 기술의 가치를 평가하여 그 평가결과를 예산배분에 반영 할 수 있도록 기술가치평가방법을 활용한 R&BD(Research &Business Development) 활성화를 위한 평가항목 및 개발될 기술의 사업성을 평가할 수 있는 평가모델을 설계하였다.