• Proceedings of the Technology Innovation Conference
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• 2001.06a
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• pp.133-143
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• 2001

Technology transfer from universities and research institutes to industries is recognized as a critical issue to strengthen industrial competitiveness, and the roles of technology transfer intermediaries are becoming one of the most important factors for successful technology transfer In today's global and knowledge-based economies, technology transfer services are started shifting to Internet and vertical transfer of technology from R&D labs to industries is becoming more emphasized than horizontal company-to-company transfer of commercialized technology. And the need of comprehensive technology transfer services necessitates cooperation among technology transfer intermediaries and networks offering complementary services. In order to respond to these changes, it is required to construct a new type of technology transfer system. But there are few researches on technology transfer system configuration for design and realization of technology transfer intermediaries. This paper presents the configuration models of technology transfer from universities and research institutes to industries. The configuration models are classified and described from the viewpoint of flows of information, technology and knowledge.

• Journal of the Korea Safety Management & Science
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• v.8 no.4
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• pp.63-89
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• 2006

Recently, the technology is getting to be the most important factor for companies, as the industry is changing fast. The uncertainty and complexity of technology valuation arc higher so that the technology concentrated companies need more developed and high performance technology. This paper reviews the methods of technology valuation for five categories that have been developed by valuation researchers, (1) research of technology diffusion and acceptance model, (2) research of technology valuation, (3) research of technology import and export factor, (4) research of technology valuation model, (5) research of technology transfer and market. And we propose a new technology valuation model using need(market), seed(technology) and deeds(management) factor by cross impact matrix. This model gives us the reference negotiation range for deciding the amount of royalty. I hope this paper induces more research on this field of technology valuation.

• Proceedings of the PSK Conference
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• 2001.04a
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• pp.191.1-191.1
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• 2001

• Korean Management Science Review
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• v.31 no.2
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• pp.71-86
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• 2014

There is a growing need for technology transactions between the technology providers, who develop technologies, and the technology consumers, who purchase and commercialize technologies, to be smooth, when technologies, as intangible assets, are traded as items that can be purchased and sold. In response to these challenges, this study examines new approaches to assessing the fair market value of technologies. Because corporations are the main force behind technology development and commercialization in the existing business environment, applying one valuation method to technology assets is viable; however, as the subjects of technology development and technology commercialization are separate, the need for price negotiations between the subjects of technology transaction has grown. Moreover, as the investigations into and the application of transaction prices have been performed separately by technology providers, technology consumers, and technology assessment financial institutions, the research on technology valuation methods has shown that there are differences in perceived transaction prices between the subjects involved. This research presents a new method, appropriate to technology transactions; unlike existing methods, it grants option values to the technology provider and newly defined key variables to the technology consumer.

• 한국정보디스플레이학회:학술대회논문집
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• 2006.08a
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• pp.150-155
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• 2006

Carbon nanotubes backlight unit (CNT-BLU) that lightened by field emission was developed into practicability. According to our novel structure, AC mode circuit design and simple printing process, CNT-BLU could achieve 85% of uniformity, 8000 nits of brightness and low material and fabrication cost. Based on these performances, this new planar backlight technology has chances to proceed to mass production and has the potential to replace traditional backlight technology because of its good properties, like the simple processes, easy to large scale, low surface temperature, low power consumption, optical film-free and Hg-free, etc.

• Journal of Distribution Science
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• v.14 no.2
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• pp.93-101
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• 2016

Purpose - This study aims to advance our knowledge about factors influencing technical startup performance through analysing technical startup process empirically. This study was conducted to focus on industry structure(industry growth rate, competitive intensity, and enter barriers), technology characteristics(technical excellence and wide range of technical application), and the performance in the technology-based start-ups. Specifically, analyzing moderating effect of technology-marketing strategy, this studied how moderating variables affect technical startup performance under industry structure. Research design, data, and methodology - The subject of this study was technology-based start-ups company that received technology transfer from public organization. The development of the paper model is based on the literature of the preceding research analysis in technology commercialization, performance of technology-based start-ups, and marketing strategy. This study has a construct that was defined in the previous studies, such that technology marketing strategy was defined into the two ways of being broad or narrow in strategic application. From November 3. 2015 to December 22, 220 questionnaires were distributed with targeting to start-up companies in technology-based. 188 responses were collected for empirical analysis except the missing and wrong value responses. This data were used for structural equation modeling and regression analysis. Results - The results of this study are as follows. First, as industry structure variables influencing on performance(technical, financial) of technology-based start-ups, industry growth rate, competitive intensity and enter barriers of variables were verified; high growth rate has more positive effect on performance than low growth rate, competitive low intensity has more positive effect on performance than competitive high intensity, low enter barriers have more positive effect on performance than high enter barriers. Second, as technology characteristics variables influences on the performance(technical, financial) of technology-based start-ups, technical excellence and wide range of technical application of variables were verified ; technical high-excellence has more positive effect on performance than technology low-excellence, wide range of technical application has more positive effect on performance than narrow range of technical application. We also find that technology marketing strategy(broad/narrow) in moderating factors on performance (technical, financial) is as follows. Analyzing the moderating effect depending on technology marketing strategy(broad/narrow), application of technology, and the types of technology strategy(broad/narrow) were revealed that broad marketing strategy had a more significant effect on performance of technology-based start-ups. With AMOS, the relevancy of the study model revealed higher for broad technology-marketing strategy than narrow technology marketing strategy, and the explanatory power revealed to be 6.4% higher in broad marketing strategy than narrow marketing strategy. Conclusions - This study confirmed that industry structure and technology characteristics are important factors influencing the performance of technology-based start-ups. Technology-marketing strategy affects the performance of technology-based start-ups between industry structure and technology characteristics. According to additional analysis, moderating variables and technology-marketing strategy are important factors influencing the performance of technology-based start-ups under industry structure and technology characteristics. Broad type of technology-marketing strategy has more attractive industry structure and excellent technology characteristics than narrow types of technology-marketing.

• STI Policy Review
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• v.6 no.1
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• pp.70-84
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• 2015

The paper discusses technology platforms as an instrument of science, technology and innovation policy in light of their use in industrial R&D. The authors assert that the technology platforms approach as a policy concept refects special organizational and institutional features learned from industrial technology platforms. The characteristics of industrial technology platforms are reviewed, and their impact on the organization of research, development and innovation activities in companies is explored. Second, the industrial technology platform is examined in the context of European Technology Platforms and the recent initiative for technology platforms in Russia. Finally, the technology platform concept implications for the STI policy context are discussed.

• Educational Technology International
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• v.13 no.2
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• pp.233-255
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• 2012

The purpose of this study is to examine the relationships among the factors that affect technology knowledge, learning strategies with technology, and academic self-efficacy of college students. Technology and its utilizing ability is a critical competency for the learners to acquire to live in the Digital Era of 21st century. However, little is known about how the competency involving technology affects academic self-efficacy. To address the aim of the study, a survey was conducted with 39 questions including technology knowledge, learning strategies with technology, and academic self-efficacy targeting 137 students in A university. The result of the structural equation modeling shows that the technology knowledge of college students indirectly influences the academic self-efficacy. The learning strategies with technology are mediating variable linking technology knowledge with academic self-efficacy. Technology knowledge explains 71% of variance in learning strategies with technology. Therefore, college students need to keep up with knowledge of technology and improve learning strategies with technology to activate academic self-efficacy.

• Proceedings of the Materials Research Society of Korea Conference
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• 1998.08a
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• pp.135.2-135
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• 1998

• Proceedings of the KSAR Conference
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• 2009.06a
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• pp.6-7
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• 2009