• Journal of Distribution Science
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• v.12 no.1
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• pp.35-46
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• 2014

Purpose - This Study aims to promote technology transfer commercialization and ultimately make contribution towards enhancement of the success rate of commercialization of technology transfer at national level by deducing the factors that impart influence on the negotiation at the time of technology trading between the seller and buyer of technology of public research institutions subjected to transfer and sales. Research design, data and methodology - This Study deduced 5 research hypotheses through preceding researches related to technology transfer commercialization related technology marketing for technology trading negotiation. This Study was conducted by verifying the hypotheses through multiple regression analysis. Results - As the result of the Study, the research hypothesis H1, 'Promotion of commercialization of technology transfer trading will be affected in accordance with the innate characteristic factors of the technology', and H5, 'Promotion of commercialization of technology transfer trading will be affected in accordance with the mutual factors of the parties of the technology trading', among the 5 research hypotheses were chosen. Conclusions - It was found that the technology seller must be able to demonstrate technological value of the technology being sold in order to successfully conclude technology transfer trading negotiation and mutual understanding and harmonious communication between the parties.

• The Journal of Bigdata
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• v.6 no.2
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• pp.71-84
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• 2021

Since small and medium-sized enterprises fell short of the securement of technological competitiveness in the field of big data and artificial intelligence (AI) field-core technologies of the Fourth Industrial Revolution, it is important to strengthen the competitiveness of the overall industry through technology commercialization. In this study, we aimed to propose a priority related to technology transfer and commercialization for practical use of public research results. We utilized public research performance information, improving missing values of 6T classification by deep learning model with an ensemble method. Then, we conducted topic modeling to derive the converging fields of big data and AI. We classified the technology fields into four different segments in the technology portfolio based on technology activity and technology efficiency, estimating the potential of technology commercialization for those fields. We proposed a priority of technology commercialization for 10 detailed technology fields that require long-term investment. Through systematic analysis, active utilization of technology, and efficient technology transfer and commercialization can be promoted.

• Journal of Korea Technology Innovation Society
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• v.18 no.4
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• pp.561-589
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• 2015

Up to present science and technology (S&T) policy in Korea has focused on producing academic papers and patents through the increase of investment on research and development (R&D). However, as the role of science and technology on boosting national economy has been emphasized and the current government has established 'creative economy' as a main policy agenda, 'technology commercialization' has been moving onto the center of S&T policy. Technology commercialization policy encourages R&D outcomes of public R&D institutions to be utilized in private firms for their new business development, and this concept is in line with out-bound open innovation, in the sense that it involves the flow of technological knowledge from public R&D institutions to private firms. Based on this understanding, this paper analyses government technology commercialization programs and attempts to suggest policy implications. The results suggest that future technology commercialization policy (1) be specialized in a way of reflecting the characteristics of each government ministry, (2) strongly support technology licensing-out, (3) strengthen the linkage between each programs, and (4) nurture expert groups, such as accelerators who can help and foster technology start-ups.

• Journal of Korea Technology Innovation Society
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• v.18 no.3
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• pp.468-491
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• 2015

The major objective of this research is to suggest the proactive strategy and management of public R&D for the active transfer of technology based on the influential factor analysis of technology transfer. This study identified influential factors which make the greatest impact on the success of public technology transfer and commercialization through three points of view-technology supplier's view, technology adopter's view and view of commercialization-which contribute to successful technology transfer and commercialization. The core influential variables for blocking technology transfer are identified such as additional technological development, search for technology adopter followed by mass production technology and testing of confidence. Technology adopter is to create new markets or expand existing markets through the superiority (innovation) of licensing technology, increasing the internal innovation capabilities and maximizing the impacts of technology. This research suggests two effective strategies for improving technology transfer such as technology planning and marketing in the view of technology license. The strategy of technology planning should be established and executed to meet both technology trends and adopter's needs. And strong patents should be secured in terms of licensing of technology. Also the technological performance should be evaluated at mid-term appraisal, confirming the needs of adopter and competitive advantage of technology and patent. In addition to this, the customized technology marketing strategy for different fields of applications is also required in order to improve the likelihood of technology transfer. If the performance of R&D organization could be evaluated by global technological competitiveness and spillover effects of commercialization rather than quantitative output, the flow of technology transfer and commercialization would be accelerated.

• Journal of Convergence for Information Technology
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• v.8 no.5
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• pp.229-236
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• 2018

In the past, technology commercialization was implemented in a narrow sense, such as technology transfer or start-up support. It has been pointed out that lack of entrepreneurial experience, failure in technology development, and insecure markets lead to failure of technology commercialization. The project supporting direct commercialization of technologies owned by academic and research institutes conjoins public funds and operating power of large enterprises to introduce a new technology commercialization model that combines commercialization technology with capital, market, and government policies. And pain points for direct commercializing technology was derived. Through research and analysis, a gap was found between the demand factors and the capability of the actors performing the technology commercialization, and it showed a significant correlation with the paint points. In consequence, measures were drawn to improve support policies to enhance the efficiency of commercialization of technologies held by universities and research institutes.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.2
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• pp.187-197
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• 2013

Public research institutes in Korea have been criticized for attaching great importance to developing new technologies than actively moving them to the industry. Despite the various effort to enhance the technology transfer and commercialization by Korean government and government-funded research institutes, the gap between R&D outcome and real world application does not seem to be reduced. In this context,this study investigates a successful case of TT by a research institute. The aim of this study is to draw the factors of successful and TT which may be applied to other government funded research institute. The finding suggest marketability of technology, commercialization-oriented attitude, technology complementary assets and technological absorption capacity, matching of goals between the partenars and finally the timely utilization of public support program of commercialization are important factors.

• 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.

• Journal of Technology Innovation
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• v.12 no.3
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• pp.229-258
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• 2004

To promote successful bioinformatics commercialization in terms of CoPS, we try to explore a commercialization process based on the characteristics of the product. Our study shows that external integration with sector-specific infrastructure is a critical factor to obtaining a knowledge base for CoPS commercialization, and that sector-specific local infrastructure is useful resource for early commercialization stages(imagining, incubating, and demonstrating stages). This paper analyzes Ensoltek's commercialization process on the basis of analysis of bioinformatics industry and Daeduck Science Park. This leads us to suggest the following policy implication for supporting commercialization activities in bioinformatics industry ; long-term investment policy towards infrastructure and software R&D, promotion policy for collaboration, and introduction of commercialisation based industry-university-public research institute cooperation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.159-170
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• 2021

As the main purpose of R&D changes from the center of knowledge creation to the center of economic value creation through technology transfer and commercialization, public technologies can also secure economic feasibility as well as make a social contribution. Korea has been focusing on fostering core human resources who can lead the commercialization of basic and original research results by launching the 'Support project for exploring startups linked with public technology-based markets' since 2015 in order to promote public technology startup. This study is based on the results of a survey for the purpose of analyzing the performance of this project. In addition, this study derived four factors related to the I-corps project performance from the results of this survey and verified the relationship between these factors through structural equation model analysis. In summary, it was confirmed that 'Application Level' and 'Business Model,' which are positively affected directly from 'Entrepreneurship Learning,' have positive effects on 'Financial Resources'. Furthermore, the indirect effect of 'Entrepreneurship Learning' on 'Financial Resources' was verified. In particular, the high level of impact of 'Entrepreneurship Learning' on 'Application Level,' and the impact of 'Application Level' on 'Business Model' and 'Financial Resources' were also positive.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.1
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• pp.107-120
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• 2022

The purpose of this study is to analyze the net effect and the combined effect of the determinants of the likelihood of start-up success of researchers at public research institutes. Based on the existing literature, the determinants of the researcher's likelihood of start-up success were reviewed, and a conceptual relationship between the determinants of the likelihood of start-up success was established. Data collection was conducted through a survey targeting researchers at public research institutes, and a total of 114 data were collected. The partial least squares (PLS) analysis method was used to analyze the net effect of the likelihood of start-up success determinant, and the fuzzy-set qualitative comparative analysis (fsQCA) was used to analyze the combined effect of the likelihood of start-up success determinant. In the PLS analysis results, it was found that technology commercialization probability and creative self-efficacy had a significant positive effect independently on the likelihood of start-up success. In the fsQCA results, we found a combined effect of increasing the likelihood of start-up success when the technology commercialization probability, technology commercialization capability, and creative self-efficacy were high. These research results provide academic implications for understanding the determinants of the likelihood of start-up success of researchers in public research institutes.