• 한국산업정보학회논문지
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• 제23권5호
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• pp.43-59
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• 2018

본 연구의 목적은 첫째 대학의 평가제도, 교육지원, 인적자원등과 같은 내부지원 요인이 기술이전 사업화 활동에 종사하는 관계자들의 기술이전 사업화 의욕에 영향 요인 인지 밝히고자 하였다. 둘째 이러한 내부 요인과 기술이전사업화 의욕의 인과관계에서 사회적 지지의 조절효과를 검증 하고자 하였다. 위 연구 내용을 분석 하기 위해 전국 40개 대학의 기술이전 사업화 조직에서 해당업무에 종사하는 산학교수, 직원을 대상으로 설문조사를 하였으며, 총160부를 배부하여 145부를 회수하였다. SPSS Statistics 22.0을 이용하여 분석한 결과는 다음과 같다. 첫째, 대학 내부요인, 즉 업적평가, 교육지원, 인적자원 모두 기술이전사업화 의욕에 유의한 영향을 미쳤다. 둘째, 대학내부요인과 기술이전 사업화 의욕과의 관계에서 사회적 지지의 조절효과를 분석한 결과, 업적평가와 기술 이전 사업화 의욕 관계에서 사회적 지지는 유사조절효과를 나타냈다. 하지만 교육지원 및 인적자원과 기술이전 사업화의욕 관계에서는 사회적 지지의 조절효과는 나타나지 않았다. 이 연구결과를 바탕으로 대학에서 기술이전 사업화 활동을 하는 사람중심의 지원정책수립에 시사점을 제공 하고자 한다.

• 대한산업공학회지
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• 제41권1호
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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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• 제10권4호
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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.