• 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 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 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.

• Journal of Technology Innovation
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• v.21 no.2
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• pp.115-136
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• 2013

Although the proposition of universities in national R&D has been soaring up recently in Korea, there is gap between the performances and the social expectations. To meet the gap, there are increasing trial to strengthen the role of Industry-Academic Cooperation(IAC) Foundations supporting university-industry collaboration activities. This study focuses on IAC Foundations and attempts to validate the relation between their roles and IAC performances with a regression analysis and futhermore to analyse the effect of the size of full-time-entities(FTEs). This study proposes positive relations between the IAC related performance and the FTEs in technology commercialization in IAC Foundations. Moreover, we identified that two groups-the below- and above-average groups-show different effects of the roles in IAC on the performance and that in the above-average group, the FTEs in technology commercialization are affecting the performance more than below in above-average group. This study suggests that it is important to allocate role more in technology commercialization than in other ones for enhancing the productivity of IAC performances and staffing by job-sector should be different depending on the size of the industry-academic cooperation foundation.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.642-663
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• 2017

The purpose of this study is to investigate the factors that affect professor startups and their performances in Universities in Korea. We included 5 categories of factors: University's size and reputation, University's technology commercialization staff number and startup deregulation, University's resources for research and technology commercialization, University's patents and professors' publication, and student startups. We analyzed 150 Universities, using Korean government's Academyinfo database, and additional data for University ranking and government's projects for University startups. Our analysis shows that Universities' fund amount for research and technology commercialization, Universities' amount of patents give a positive impact on Universities statistically significantly, while Universities' size or reputation does not. In addition, the amount of patents and startup projects funded by the government give a significantly positive impact on the annual sales of the professor startups. Furthermore, student startups are in a positive relationship with professor startups and their sales, showing a synergy effect between the two startup groups in Universities. The result implies that Universities and government need to focus on supporting patenting activities, providing technology commercialization funds, and collaboration activities between professors and students for their startup activities.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.3
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• pp.109-121
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• 2024

This paper adopts a resource-based approach to analyze why some universities have a greater number of faculty startups, and how this impacts on performance, in terms of indictors such as the number of employees and revenue sales. More specifically, we propose 9 hypotheses which link institutional resources to faculty startups and their performance, and compare 5 different groups of university resources for cross-college variation, using data from 134 South Korean four-year universities from 2017 to 2020. We find that the institutional factors impacting on performance of faculty startups differ from other categories of startups. The results show that it is important for universities to provide a more favorable environment, incorporating more flexible personnel policies and accompanying startup support infrastructure, for faculty startups, whilest it is more effective to have more financial resources and intellectual property for other categories of startups. Our findings also indicate that university technology-holding company and technology transfer programs are crucial to increase the number of faculty startups and their performance. Our analysis results have implications for both university and government policy-makers, endeavoring to facilitate higher particaption of professors in startup formation and ultimate commercialization of associated teachnologies.

• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.33-43
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• 2023

The paper employs a resource-based approach to analyze the relationship between institutional resources and faculty-led startup formation and performance in South Korean four-year universities from 2017 to 2021. The author proposes nine hypotheses to explain how institutional resources or systems affect the number of faculty startups, their employee numbers and the revenue of faculty-led startups, and compare four different groups of university resources for cross-college variation. The findings suggest that institutional factors impacting faculty-led startup performance differ from those impacting other categories of startups. Universities should provide a more favorable environment, including flexible personnel policies and accompanying startup support infrastructure, to encourage faculty-led startups. In contrast, it is more effective for better performance of faculty startups, in terms of their job creation and revenue, to have more financial resources and good paper publications. The results also suggest that university technology-holding companies are crucial for increasing the number of professor startups and their performance. These findings have implications for both university and government policymakers, who aim to facilitate greater participation of professors in startup formation and commercialization of technology.