• Journal of Korea Society of Industrial Information Systems
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• v.23 no.5
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• pp.43-59
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• 2018

The first purpose of this study is to find out whether internal support factors such as evaluation system, education support program, and human resources of universities are factors that influencing the motivation of technology transfer and commercialization among those engaged in technology transfer and commercialization activities. Second, verified the regulation effect of social support from the cause-and-effect relationship between motivation of technology transfer commercialization and the said internal factors. In order to analyze the above research, a questionnaire survey was conducted for the professors and employees engaged in the technology transfer and commercialization organization of 40 universities in Korea. A total of 160 surveys were distributed, of which 145 were collected. The results of analysis using SPSS Statistics 22.0 are as follows. First, all internal factors of university such as evaluation system, education support program, and human resources have significant influence on the motivation for technology transfer and commercialization. Second, as a result of analyzing the regulation effect of the social support in relation to the internal factor of the university and the motivation of technology transfer and commercialization, the quasi regulation effect can be founded in between evaluation system and motivation of technology transfer and commercialization. However, there is no regulation effect of social support between the education support program, human resources and motivation for technology transfer and commercialization. Based on the results of this study, suggestions can be founded for establishing a support policy for those who are engaged in technology transfer and commercialization in universities.

• Journal of Korea Technology Innovation Society
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• v.16 no.4
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• pp.1055-1089
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• 2013

These days, the environment surrounding university has been changing rapidly and largely. Especially, the academic entrepreneurship for university spin-offs and wealth creation is being emphasized. And therefore, the importance of industry-academy-research institute cooperation for technology transfer and commercialization is increasing more and more. According to that, government have made various legal system and support the university activities for their autonomous and practical technology use, and one of that core means is to make university establish the special organization for technology transfer and commercialization, and support its activities systematically. This paper aims to study legal system on the special organization for university technology transfer and commercialization in korea. Especially, it is layed emphasis to search the problems and find out the improvement ways about the special organization. For this purpose, the legal system and necessity of special organization in university and other research institute are reviewed in domestic and abroad, the type and operation methodology of special organization in the existing laws are investigated in korea, the operation effects of several organization are analyzed, and lastly the improvement methods for activating the organization are studied and suggested.

• Journal of Technology Innovation
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• v.23 no.4
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• pp.123-149
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• 2015

Even though papers and patents generated by public research institutions including universities are continuously increasing in Korea, commercialization of research outputs is significantly lower than developed countries. Therefore, it is very important to improve the effectiveness of technology licensing offices(TLOs) of universities. In this study, we study effects of the patent manager dispatch program(PMDP) of the Korean Patent Office(KPO) on the performance of TLOs. KPO has dispatched patent experts to selected TLOs under the PMSD since 2006. Based on data of 126 TLOs, we analysed whether the PMSD has improved the performances of beneficiary TLOs. We tested two related hypotheses: (1)Whether or not a TLO received the dispatch service had effects on its performance? (2)Were early beneficiaries more effective than late beneficiaries or non-beneficiaries because of cumulative learning effects? The main findings are as follows. The past experience in itself did not improve performances of beneficiary TLOs. However, early beneficiaries were better than late beneficiaries or non-beneficiaries, that is, some learning effects might help the beneficiary TLOs improve their performances.

• Journal of Korea Technology Innovation Society
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• v.22 no.1
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• pp.50-84
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• 2019

As the technology commercialization of American universities has been greatly activated since the implementation of the Bayh Dole Act, that of Korean universities has been steadily increasing since the enactment of the Technology Transfer Promotion Act of 2000, due to numerous related laws, government support programs, and accumulated experience of technology transfer. However, the level of technology commercialization of domestic universities is still insufficient in comparison to that of advanced countries such as the United States. So, in this study, we tried to identify factors promoting technology transfer and start-ups in Korean universities by examining domestic prior researches carried out since 2000 using SLR (Systematic Literature Review) methodology. As a result of our analysis, researches in the field of technology transfer were the most studied while papers on start-up are actively increasing recently. As for factors influencing commercialization of technology, internal and external factors were identified. The former were categorized as human resource, technology and knowledge resource, financial resource, managing resource and strategy, university type, and education and culture, while the latter were grouped into consumer, region, and infrastructure. And then detailed factors were integrated in each field by systematic mapping. Our study has its meaning in that it systematically accumulated the results of researches on technological commercialization of Korean universities and identified areas that are lacking or need additional research. And the integrated promoting factors for technology transfer or start-up can also be used as a checklist for universities or public institutes.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.2
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• pp.190-205
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• 2015

In the knowledge-based economy the innovation through continuous research and development(R&D) is crucial for the economic development and competitiveness of the region or country. The role of university as an institution which creates and diffuses new knowledge and technology should be highly emphasized these days in that context. This study explores the university-industry collaboration. More specifically, technology transfer and knowledge exchange between a university and external industrial partners are examined and the influences of such activities are, then, evaluated in the aspects of innovation and competitive advantages of the industrial partners. The case study on the Chonnam National University indicates that the considerable amount of knowledge and technology developed within the university tended to transferred to local areas, namely Gwangju and Jeonnam region. It can be claimed that the university, at least Chonnam National University, has positive impacts on the regional economy through technology transfer and knowledge share.

• Journal of Technology Innovation
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• v.21 no.3
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• pp.95-119
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• 2013

There are increasing policy and academic interests on technology commercialization of public research organizations. Prior researches have focused on institutional factors and organizational differences between academics and public research organizations. Using a new data on individual-level characteristics and commercialization, we examine the effects of prior experience and total number of research projects on commercialization performance. We find strong positive relationships between prior experience and commercialization performance. Also we find a inverted U-curved relationships between total number of research projects and commercialization. Based on these results, we suggest some policy implications to promote technology commercializations of public research organizations.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.3
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• pp.205-215
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• 2013

Job creations through doing star-ups is the biggest issues for almost nations. This study explores the entrepreneurial university's rule for making job creations based on Smart specialization and entrepreneurial university perspectives. In order to the aims, this study reviews the previous literatures and examines the some Israel universities, which is Technion University, Hebrew university as well as government support policies. Technion University and Hebrew university have own technology transfer institutions composed of experts for technology transfer and doing start-ups by using technologies. Each institutions have own characteristics regarding technology transfer and doing start-ups. T3, which is technology transfer institution of Technion University facilitates the start-up by step-by-step supporting mechanism. T3 has been operating EIR which has focused on business and marketing. Yissum, which is technology transfer institution of Hebrew university has board members. they have crucial roles to success the start ups. they can reconciliate the conflicts between university and Yissum. Also they can participate the business activities as mentors. Start-up money will be supported for even sprout state technology if their technologies are a promising business. Risk sharing between universities and start-ups influences on the increase of success ratio in Israel when comparing to that of Korea.

• Journal of Technology Innovation
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• v.28 no.1
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• pp.1-30
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• 2020

The government has implemented policies to increase university technology commercialization while supporting university research over time. This paper adopts the neo-institutional theory and examines the effect of change in the government research funds that universities have received overtime on the change in their technology commercialization performance. It also investigates a location (Seoul metro or others) effect on the relationships. Using latent growth curve modeling (LGM), which is widely used for time-varying analysis, this study longitudinally analyzes 138 universities in South Korea over the past nine years from 2009 to 2017. The results indicate that the growth in the annual government research funds that universities attain affects the growth in the economic value of technology transfers. In addition, the relationship is stronger for universities in Seoul metropolitan areas than those in other areas. The relationships are intact with one-year lagging effects. The findings help understand the effectiveness of government R&D policies for promoting technology commercialization.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.552-577
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• 2011

We have analyzed technology transfer and commercialization process and factors affecting the outcomes of technology commercialization of public research institutes in Korea. A technology commercialization process model was presented as an input, intermediate outcomes/capabilities, output (outcome) structure using the structural equation model. Input variables include R&D input, technology commercialization strategy/support, collaboration, social capital. The model also includes R&D capabilities and technology commercialization performance as intermediate variable and output variable respectively. The technology commercialization performance was measured as the number of technology transfer and spin-off. We conducted survey and 88 institutes responded. Empirical results show that R&D input influence R&D capabilities and R&D capabilities influence the output of technology transfer and commercialization. Collaboration activities and social capital also appear to have a positive effect on the output. However, the effect of strategy and support on the output appear to be not statistically significant.

• Magazine of the Korean Society of Agricultural Engineers
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• v.52 no.1
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• pp.44-46
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• 2010