• 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 Korean Institute of Industrial Engineers
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• v.41 no.1
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• pp.105-114
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• 2015

An empirical analysis study applied to evaluate the effect of critical factors for technology transfer. The research aims to suggest ways of political support in order to facilitate technological transfer and commercialization of public research institute'technology. Based on previous researches, it is determined that five critical factors which effect on technology commercialization. These critical factors are used to derive the order of priority, attribute of the success, and failure factors. The result of this research emphasized on both roles of technology introduction motivation and type of technology transfer. In order to collect data for this research, it is carried out that survey and field study toward to technology user such as manufacturing companies which have contracted with institute A. This research has a meaning in aspects of verification of previous hypothesis through scientific approach and new findings of a significant factor that motivation determines the success or failure of technology commercialization.

• Asia pacific journal of information systems
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• v.10 no.4
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• pp.57-75
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• 2000

Most current literature on knowledge and technology transfer(Appropriability Model, Dissemination Model, and Knowledge Utilization Model), describe the process of transfer in details, but has limitation in terms of their application in contemporary high-tech industries since most studies have not provided plausible explanation on levels and factors affecting transfer of knowledge and/or technology. To overcome these limitations, the four levels of knowledge and technology transfer are suggested: Knowledge and Technology Creation(Level I), Sharing(Level II), Implementation(Level III), and Commercialization(Level IV). Comprehensive literature identifies sixteen variables affecting the process and results of knowledge and technology transfer. The survey results show four key factors in knowledge and technology transfer: Communication, Distance, Equivocality, and Motivation, Communication refers to the degree to which a medium is able to efficiently and accurately conveys task-relevant information and media while distance involves both physical and cultural proximity. Equivocality refers to the degree of concreteness of knowledge and technology to be transferred while motivation involves incentives for and the recognition of the importance of knowledge and technology transfer activities. Further analysis shows that there are four distinctive clusters and they show very contrasting characteristics in terms of four key factors. The careful mapping of the four clusters on the four key factors show very informative knowledge and technology transfer patterns, the Knowledge and Technology Transfer Grid. Finally, actions to increase communication interactivity and motivation, and to reduce cultural distance and equivocality are suggested.