• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.2
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• pp.94-103
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• 2008

This study measured technology transfer efficiency for public institutes. The study made use of DEA being one of the non-parametric linear programming to evaluate technology transfer efficiency for public institutes and to measure technology efficiency, pure technical efficiency and scale efficiency. The measurement of the technology transfer efficiency for public institutes was as follows: The cause of the technology transfer inefficiency was affected by pure technical inefficiency more than by scale inefficiency. Public institutes' RTS(Return To Scale) value varied depending upon the features of the organizations than the features of the regions. Public research institutes' RTS value is more effective than universities' RTS value. We compared the RTS group with the RTS of Projected DMU groups. The RTS group had constant returns to scale effect while the RTS of the Projected DMU had increasing returns to scale effect. The technology transfer efficiency of public institutes varied depending upon the features of the organizations and regions : The technology transfer efficiency of public institutes were as follows : public research institutes at the metropolitan area, public research institutes at the local areas, universities at the metropolitan area and universities at the local areas. In other words, the technology transfer efficiency was affected by organizational characteristics more than by regional characteristics at the place where public institutes were located.

• Knowledge Management Research
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• v.19 no.2
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• pp.1-19
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• 2018

This study aims to identify the causal relationship among public technology transfer, technological performance, and research and development (R&D) productivity. Using the impulse-response function(IRF) of a panel vector autoregressive model (panel VAR), this study suggests the results of how long the factors such as technological performance (patent), public technology transfer, and R&D productivity takes and lasts if a one-unit shock of standard deviation occurs. As a result, first, the increase of public technology transfer activities has no power to increase the technology performance but improve the R&D productivity. If the public institute increases its technology transfer activities by one unit, the R&D productivity will increase within five years. Second, the impact of increasing technological performance on improvement of public technology transfer and R&D productivity is an insignificant. Third, the effect of R&D productivity on the public technology transfer creates a substantial reaction after a current time. Considering the structural relationships among public technology transfer, technological performance, and R&D productivity, if policy makers intend to construct the active R&D circumstance, technology suppliers should be motivated to run the active R&D mechanism because they achieve gains.

• Journal of Technology Innovation
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• v.16 no.1
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• pp.141-163
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• 2008

Technology transfer from public research institutes is receiving an ever increasing importance in today's fast growing economy. Many factors have been cited as influencing the transfer performance. This study is focused on the strategy of institutes which is characterized by technology strategic factors and organizational/institutional factors. Methodologically, the technology strategy is represented by the information contained in applied patents, and the performance of technology transfer is indicated by the number of licensing contracts and royalty income. To further improve the contribution of public research institutes through technology transfer, I argue that individual institutes become more specialized in specific field and become more open to collaboration. It is also recommended that public research institutes gather together since it is easy to form the consortium of technology licensing office and it is not necessary to be located near the industrial field.

• Nuclear Engineering and Technology
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• v.55 no.6
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• pp.2026-2033
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• 2023

Due to Thailand's nuclear energy public acceptance problem, the understanding of nuclear energy public perception was the key factor affecting to re-consideration of the nuclear energy program. Thailand Institute of Nuclear Technology and its alliances together developed the classification model for the nuclear energy public perception from the big data comments on social media using Facebook using deep transfer learning. The objective was to insight into the Thailand nuclear energy public perception on Facebook social media platform using sentiment analysis. The supervised learning was used to generate up-to-date classification model with more than 80% accuracy to classify the public perception on nuclear power plant news on Facebook from 2009 to 2022. The majority of neutral sentiments (80%) represented the opportunity for Thailand to convince people to receive a better nuclear perception. Negative sentiments (14%) showed support for other alternative energies due to nuclear accident concerns while positive sentiments (6%) expressed support for innovative nuclear technologies.

• Journal of Technology Innovation
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• v.10 no.2
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• pp.19-44
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• 2002

All over the world, the attention on the exploitation of public research, which is mainly implemented by technology transfer, has increased in recent years. Licensing, which is one of representative mechanisms for public-to-private technology transfer, is accompanied by the frequent conflicts in negotiating a license payment between public research institutes (PRIs) and private firms. In spite of the body of literature on technology transfer in a licensing context, it focuses on contracts between private firms. Even the existing literature, which addresses public-to-private technology transfer through licensing, to our knowledge, has not yet formalized an established licensing model. This paper develops a mathematical model of public-to-private licensing, not hitherto tried by academics. The model addresses important issues to be applied comprehensively in licensing practice, such as determining a royalty rate, balancing between an initial payment and a running royalty, designing an inventor's incentive system, and setting a minimum payment as a screening criterion. The paper also provides reasonable management implications to controversial issues in technology transfer from PRIs to private firms, partly employing the comparative analysis between current stylized licensing practice and the one suggested in the model. We hope that study contributes to providing the foundation on which the theory on public-to-private licensing would extend to an in-depth level.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.195-218
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• 2017

The paper tests the above socio-cognitive model with four empirical case studies of leading Korean science and technology research and technology transfer organizations. The case studies demonstrate clear differences in individuals' frames about the technology transfer process and arising conflicts. As a result, technology transfer process is not fully controllable and is highly contextual. We argue, whereas public policy in countries approaching technology frontier provides essential support for defining and exploiting best practices (routines/pathways) for technology transfer at organizational level, they have not matured enough to support the timely identification and resolution of conflicts between individual actors, hence the inefficiencies. Therefore, among others, public policy for technology transfer could consider allowing an inclusive approach to recognition of best practices for technology transfer and innovation processes, increased social interactions between technology transfer actors, and their training on resolution of individual level cognitive conflicts.

• Korean System Dynamics Review
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• v.8 no.2
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• pp.191-207
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• 2007

Nowadays almost nations try to promote the competition of nation through the development of national science technology. Also Korea has been engaging in this race of through public research&development institute. But recently the commercialization of R&D products appears a poor result in the royalty of technology according weak technology transfer toward IT small and medium-sized enterprises. Even If we have been trying to find the problems and causes, as yet it is true that we don't solve clearly the problem, make a diagnosis about it. This paper analyzes the process of commercialization in public R&D research institute(ETRI: Electronics and Telecommunications Research Institute) through system thinking and researches an interrelationship among government agency, public R&D research institute, and enterprise. This one can find the fact that between research fund and R&D products, transfer technology and royalty, and enterprise's operating profit and active technology transfer like adding technology development is a positive feedback loop. This positive feedback loop in the commercialization of public R&D research institute carries out very important role in examining problems in R&D product's commercialization. Also this paper looks forward to being a guide in the commercialization of public R&D research institute.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.12 no.2
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• pp.114-123
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• 2009

The objective of the study is to discuss the public value which inevitably required in the relation between city and transportation infrastructure and to suggest a public space at a transfer center which is a new type of transportation infrastructure. There has been little discourse on the public value of existing transportation infrastructure in the field of landscape architecture. Through this study. re-think of urban infrastructure from landscape architectural point of view will be examined. Through this study, three main considerations will be reflected in designing a transfer center, First, in a broad context, possibility of landscape architectural access toward transportation infrastructure should be considered. Secondly, unique characteristics of the transfer center system will be reflected on design process. Lastly, by analysing the site context of Dobongsan station P&R, design issues will be emerged. Transportation infrastructure is a field of urban life where people gather, exchange and do diverse activities. Design of transfer center through landscape architectural approach will be a meaningful reaction to the needs of public space in the urban infrastructures.

• Proceedings of the Korean System Dynamics Society
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• 2007.11a
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• pp.49-65
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• 2007

Nowadays almost nations try to promote the competition of nation through the development of national science technology. Also Korea has been engaging in this race of through public research & development institute. But recently the commercialization of R&D products appears a poor result in the royalty of technology according weak technology transfer toward IT small and medium-sized enterprises. Even If we have been trying to find the problems and causes, as yet it is true that we don't solve clearly the problem, make a diagnosis about it. This paper analyzes the process of commercialization in public R&D research institute(ETRI: Electronics and Telecommunications Research Institute) through system thinking and researches an interrelationship among government agency, public R&D research institute, and enterprise. This one can find the fact that between research fund and R&D products, transfer technology and royalty, and enterprise's operating profit and active technology transfer like adding technology development is a positive feedback loop. This positive feedback loop in the commercialization of public R&D research institute carries out very important role in examining problems in R&D product's commercialization. Also this paper looks forward to being a guide in the commercialization of public R&D research institute.

• International Commerce and Information Review
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• v.17 no.1
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• pp.165-191
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• 2015

The results of this study are the two. First, for convergence technology and convergence technology transfer based on analysis of previous studies I suggested a framework for convergence-type technology transfer conceptualization and measurement. Second, I am compared convergence-type technology transfer to total technology transfer from public research(university and public institute) to SME. Overall, despite the trend to increase technology transfer to SMEs, convergence-type technology transfer is only 4.4%. Both total technology transfer and convergence-type technology transfer to the Industry is active to electronic components, machinery, chemicals, food and beverage, and the medical. The role of universities is emphasized in both total technology transfer and convergence-type technology transfer. There are small transactions of less than 5 million in both total technology transfer and convergence-type technology transfer. Both total technology transfer and convergence-type technology transfer to the region are concentrated in Seoul, Daejeon and Gyeonggi-do.