• Asian Journal of Innovation and Policy
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• v.6 no.2
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• pp.206-224
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• 2017

This article proposes a logic model for assessing the performance of the outcome of public research as a technology valuation method. It consists of two parts and eight steps. The first part is a scoring system and the second part is a validation process of the performance index derived from scoring by valuation method. The scoring in the first part generally requires a focus group method to find out the value drivers and make an evaluation table. The reason why we call it the technology valuation method is that the first part is derived from the simple evaluation of technology value using checklists for value drive. The second part is the regular technology valuation process. The model is designed for the measurement of unquantifiable outcome. Is knowledge or scientific outcome comparable to the measured outcome? If possible, how big is the unquantifiable outcome? This model is based on financial valuation techniques with clear or acceptable market data. Therefore, it cannot work solely for unquantifiable outcomes without comparable measurable outcomes, unlike economic valuation.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.818-837
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• 2018

Technological innovation has inherent difficulties, largely due to the uncertainties of technology. Thus, the forecasting methodology to reduce the risk of uncertainty in the innovation process has been presented both in quantitative and qualitative fields. On the other hand, big data and artificial intelligence have attracted great interest recently, and deep learning, which is one of the algorithms of AlphaGo, is showing excellent performance. In this study, deep learning methodology was applied to the prediction of innovation performance. To make the prediction model, we used KIS 2016 data. The input factors were importance of information source and innovation objectives and the output factor was innovation performance index, which was calculated for this study. As a result of the analysis, it can be confirmed that the accuracy of prediction is improved compared with the previous studies. As learning progressed, the degree of freedom of prediction also improved.

• Journal of Korea Technology Innovation Society
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• v.17 no.1
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• pp.45-67
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• 2014

National Innovative Capability (NIC) is an important decisive factor where economic growth is concerned. As such, it is very important to measure and manage NIC. The composite index approach is one of the widely used approaches to measuring NIC, but there have been insufficient reviews of its feasibility and reliability. This paper conducted an analysis of the feasibility and reliability of the report on the last three years (i.e. 2011 through 2013) of the Innovation Union Scoreboard (IUS) of the EU, which is the most representative means of measuring NIC. It turned out that its reliability meets the recommended criteria as a result of Chronbach's alpha-based test of the models of IUS-related composite index. However, neither the absolute fit index nor the incremental fit index was found to meet the recommended criteria in a construct validity analysis. It also turned out that predictive validity is very low as a result of panel linear regression analysis of sectors and items of IUS-related composite index. This paper presents a number of considerations to be made when measuring national innovative capability using the composite index approach, as well as major policy suggestions based on the results of the analysis.

• Journal of Korea Technology Innovation Society
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• v.5 no.1
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• pp.90-109
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• 2002

The national nuclear R&D projects have been implemented for the purpose of supply of nuclear power which was proved to be safety and stability. Evaluating the national nuclear R&D projects has critical importance in nu-clear energy management aspect. This paper employs multi-attribute utility analysis as a basis for obtaining an evaluation index to assess the national nuclear R&D projects using a specific case study of Korea. To structure and quantify basic values for the evaluation, we elicited important attributes, then refined and structured them into a hierarchy. A multi-attribute index is constructed as a multi-attribute utility function, based on value judgments provided by a group of technical experts, policy makers, and faculties. As a result, the objective of attainment of a proposed object is given the highest priority, followed by appropriateness of project and research strategy, utilization of research output, within attribute ranges defined for the attributes. We found that the work and results of this study can provide valuable insights and decision opportunities for virtually all major decision making in evaluation of the national nuclear R&D projects in Korea.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.3
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• pp.222-232
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• 2013

In recent years, 'technological fusion or convergence' has drawn a lot of attention of innovation researchers and governmental policy makers as the driving force of technological innovation and industrial growth. There are, however, few studies on the analysis of longitudinal trends of technological convergence and its comparison between global and national level. In this study, with the citation data of about 18 million articles, we analyzed 1) the growth of representative convergence research areas, 2) the convergence of citing patterns between research fields, and 3) the changing trend of diversity index of all research fields. We conclude that technological convergence in korea shows the relatively strong orientation to the combination of neighboring fields than that of heterogenous fields in comparison to global trend. In particular, the relatively weak activity of cognitive science and the low level of mutual exchange between arts/humanities/social sciences and natural/engineering sciences in Korea are emphasized.

• The Journal of Information Systems
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• v.28 no.3
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• pp.141-158
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• 2019

Purpose Artificial Intelligence (AI) is a core technology, leading the 4th industrial revolution. This study aims to diagnose the Korean's national competitiveness for AI technologies through patent analyses. Design/methodology/approach In this study, KIWEE and Derwent Innovation databases were used as data source of patents. we extracted 10,510 AI patents data with keywords and classified them into 15 subcategories of AI technology. We executed patent analyses for activity index, patent intensity index, technology strength, and patent family size and diagnosed Korea's national competitiveness in AI industry. Findings The results showed that Korea is less competitive than the United States and Japan in AI industry. However, patent amount has increased since 2010, which is encouraging result. This study has implication on the need for human and R&D investment in AI industry.

• Journal of Korea Technology Innovation Society
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• v.7 no.1
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• pp.182-206
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• 2004

This is the review of 2,500 cases on the trend analysis of technology and market. We find the fact that the patterns of trend analysis are defined by the purpose and size of the series and analysis, not by the difference of experience, educational background, country or organization. Based on these facts, we define 14 types of the analysis of technology and market. Also we conceptualize several patterns of the analysis in methodology, techniques, analytical index, structure, information source and the value by types of trend analysis.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.860-888
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• 2011

Offset is a peculiar trade form, the compensation of importing the weapon system, accompanied by the international weapon system contract. Korea has been applying offset to defense acquisition program for fostering the domestic defense industry and improving defense R&D ability since Korean offset policy was built up in 1983. However, there are not enough evidences for benefits of offset and it is rather believed that the performance management system of offset is not thoroughgoing enough because of lack of the systematic policy. It is essential to develop the well-organized performance management system in order to maximize outcomes from application of technology obtained by offset. The main objective of this paper is to propose key performance index that is practically useful to manage offset performance systematically and maximize outcomes of offset.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.860-874
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• 2018

This study aims at empirical analysis of the new international trade theory (Melitz, 2012, 2014, 2015). The new international trade theory is centered on the effect of heterogeneous firms on the technological competitiveness on the trade effect and resulted from the important assumption that the form of the enterprise technology distribution determines the trade effect. This study empirically estimated the distribution of enterprise technology in Korean manufacturing. For the purpose of this study, we divided Korea's total enterprise technology distribution into technological innovation and technical imitation distribution, then statistically verified the distribution type and evaluated the appropriateness of the new international trade theory. Based on the empirical results of this study, we briefly suggested the direction of technology policy.

• Proceedings of the Safety Management and Science Conference
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• 2009.04a
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• pp.337-350
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• 2009

Using the Malmquist productivity index, this paper compares the productivity of Korean manufacturing industries from 1999 to 2006. The malmquist productivity index has more advantages than previous methods such as solow model, endogenous growth theory. The malmquist productivity index can be decomposed productivity into two parts. The first part is an index of the technical efficiency change. This index has high value when the elements of production is used more efficiently. The second part is an index of technical change. This index has high value if the advent of new technology and process innovation occur.