• 한국정보디스플레이학회:학술대회논문집
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• 2007.08a
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• pp.395-398
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• 2007

Two new cell structures for optical compensated bend were proposed. There are two groups of slit electrodes, which are driven by two different signals corresponding to the entire electrode as common electrode. The transmittance was enhanced without increasing the response time and light leakage. Compared with the traditional OCB mode, the increment of the transmittance of each kind is about 90% and 30%.

• Journal of Information Technology Applications and Management
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• v.26 no.2
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• pp.13-26
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• 2019

The purpose of this study is to examine the effect of each of the two technology acceptance factors(employees' attitude toward smart factory technology, and ease of smart factory technology use) on the introduction level of each of the three smart factory technologies (manufacturing big data technology, automation technology, and supply chain integration technology), and in turn, the effect of each of the three smart factory technologies on manufacturing performance. This study employed PLS statistics software package to empirically validate a structural equation model with survey data from 100 domestic small-and medium-sized manufacturing firms (SMMFs). The analysis results revealed the followings. First, it is founded that employees' attitude toward smart factory technology influenced all of the three smart factory technology introduction levels in a positive manner. In particular, SMMFs of which employees had more favorable attitude toward smart factory technology tended to increase introduction levels of both automation technology and supply chain integration technology more than in the case of manufacturing big data technology. Second, ease of smart factory technology use also had a positive impact on each of the three smart factory technology introduction levels, respectively. A noteworthy finding is this : SMMFs which perceived smart factory technology as easier to use would like to elevate the introduction level of manufacturing big data technology more than in the cases of either automation technology or supply chain integration technology. Third, smart factory technologies such as automation technology and supply chain integration technology had affirmative impacts on manufacturing performance of SMMFs. These results shed some valuable insights on the introduction of smart factory technology : The success of smart factory heavily depends on organization-and people-related factors such as employees' attitude toward smart factory technology and employees' perceived ease of smart factory technology use.

• International Commerce and Information Review
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• v.10 no.2
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• pp.141-164
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• 2008

This study aims to come up with the elements that have influence on the outcomes of technology transfer in a multi-divisional way by making analysis of the interactive relations among technology transfer factor, technology transfer procedure factors, and technology transfer outcome factors through the Structural Equation Model(SEM). And the sample companies are restricted to the ones that have the records of technology transfer to China for the past five years For research model, technology success factor model of Choi and Lee (2000) and technology receptive capability and technology transfer outcome model of Lin, Tan and Chang(2002) were adopted. The research model was divided into an external variable, technology transfer factors and an internal variables, technology transfer procedure factors and technology transfer outcome factors. Research hypothesis was divided into technology transfer factors and technology transfer procedure factors; and technology transfer outcomes. As a result of analysis, cultural difference associated with technology transfer, technological type, corporate capability, and mutual trust have an effect on the outcomes of technology transfer.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.209-225
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• 2022

Purpose - The domestic technology trading market is composed of a technology trading platform with the participation of technology trading institutions. The institution that operates the technology trading platform provides various support for technology transaction. The purpose of this study is to suggest improvement plans through analysis of the services provided by the technology trading platform. Design/methodology/approach - TA model was built based on existing research and the importance and satisfaction of each evaluation item of the model were identified through the hierarchical analysis process and expert opinion gathering. Then importance-satisfaction correlation analysis was applied. Findings - As a result of analyzing the importance of the technology trading platform, supply technology information, technology value evaluation, and demand technology information are in order. Technology marketing and demand technology information are areas that require focus management and there are differences according to experience and low-skilled people suggest the need to improve technology value evaluation service. Research implications or Originality - This study is significant in that it evaluated the operational performance of a technology trading platform that had not been addressed for 15 years and suggested improvement measures. Initially a series of technology transaction processes such as technology value evaluation technology matching and technology commercialization support were expanded from simple information on previous technology and this study includes these changes.

• 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

• 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.

• 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 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 PSK Conference
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• 2001.04a
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• pp.115.1-115.1
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• 2001