• Korean small business review
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• v.32 no.1
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• pp.65-87
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• 2010

With the advent of knowledge-based society, the revitalization of technological innovation type SMEs, termed "inno-biz" hereafter, has been globally recognized as a government policymakers' primary concern in strengthening national competitiveness, and much effort is being put into establishing polices of boosting the start-ups and innovation capability of SMEs. Especially, in that the inno-biz enables national economy to get vitalized by widening world markets with its superior technology, and thus, taking the initiative of extremely competitive world markets, its growth and development has greater significance. In the case of Korea, the government has been maintaining the policies since the late 1990s of stimulating the growth of SMEs as well as building various infrastructures to foster the start-ups of the SMEs such as venture businesses with high technology. In addition, since the enactment of "Innovation Promotion Law for SMEs" in 2001, the government has been accelerating the policies of prioritizing the growth and development of inno-biz. So, for the sound growth and development of Korean inno-biz, this paper intends to offer effective management strategies for SMEs and suggest proper policies for the government, by researching into the effect of technological innovation capability and technology commercialization capability as the primary business resources on business performance in Korean SMEs in the light of market information orientation. The research is carried out on Korean companies characterized as inno-biz. On the basis of OSLO manual and prior studies, the research categorizes their status. R&D capability, technology accumulation capability and technological innovation system are categorized into technological innovation capability; product development capability, manufacturing capability and marketing capability into technology commercialization capability; and increase in product competitiveness and merits for new technology and/or product development into business performance. Then the effect of each component on business performance is substantially analyzed. In addition, the mediation effect of technological innovation and technology commercialization capability on business performance is observed by the use of the market information orientation as a parameter. The following hypotheses are proposed. H1 : Technology innovation capability will positively influence business performance. H1-1 : R&D capability will positively influence product competitiveness. H1-2 : R&D capability will positively influence merits for new technology and/or product development into business performance. H1-3 : Technology accumulation capability will positively influence product competitiveness. H1-4 : Technology accumulation capability will positively influence merits for new technology and/or product development into business performance. H1-5 : Technological innovation system will positively influence product competitiveness. H1-6 : Technological innovation system will positively influence merits for new technology and/or product development into business performance. H2 : Technology commercializing capability will positively influence business performance. H2-1 : Product development capability will positively influence product competitiveness. H2-2 : Product development capability will positively influence merits for new technology and/or product development into business performance. H2-3 : Manufacturing capability will positively influence product competitiveness. H2-4 : Manufacturing capability will positively influence merits for new technology and/or product development into business performance. H2-5 : Marketing capability will positively influence product competitiveness. H2-6 : Marketing capability will positively influence merits for new technology and/or product development into business performance. H3 : Technology innovation capability will positively influence market information orientation. H3-1 : R&D capability will positively influence information generation. H3-2 : R&D capability will positively influence information diffusion. H3-3 : R&D capability will positively influence information response. H3-4 : Technology accumulation capability will positively influence information generation. H3-5 : Technology accumulation capability will positively influence information diffusion. H3-6 : Technology accumulation capability will positively influence information response. H3-7 : Technological innovation system will positively influence information generation. H3-8 : Technological innovation system will positively influence information diffusion. H3-9 : Technological innovation system will positively influence information response. H4 : Technology commercialization capability will positively influence market information orientation. H4-1 : Product development capability will positively influence information generation. H4-2 : Product development capability will positively influence information diffusion. H4-3 : Product development capability will positively influence information response. H4-4 : Manufacturing capability will positively influence information generation. H4-5 : Manufacturing capability will positively influence information diffusion. H4-6 : Manufacturing capability will positively influence information response. H4-7 : Marketing capability will positively influence information generation. H4-8 : Marketing capability will positively influence information diffusion. H4-9 : Marketing capability will positively influence information response. H5 : Market information orientation will positively influence business performance. H5-1 : Information generation will positively influence product competitiveness. H5-2 : Information generation will positively influence merits for new technology and/or product development into business performance. H5-3 : Information diffusion will positively influence product competitiveness. H5-4 : Information diffusion will positively influence merits for new technology and/or product development into business performance. H5-5 : Information response will positively influence product competitiveness. H5-6 : Information response will positively influence merits for new technology and/or product development into business performance. H6 : Market information orientation will mediate the relationship between technology innovation capability and business performance. H7 : Market information orientation will mediate the relationship between technology commercializing capability and business performance. The followings are the research results : First, as for the effect of technological innovation on business performance, the technology accumulation capability and technological innovating system have a positive effect on increase in product competitiveness and merits for new technology and/or product development, while R&D capability has little effect on business performance. Second, as for the effect of technology commercialization capability on business performance, the effect of manufacturing capability is relatively greater than that of merits for new technology and/or product development. Third, the mediation effect of market information orientation is identified to exist partially in information generation, information diffusion and information response. Judging from these results, the following analysis can be made : On Increase in product competitiveness, directly related to successful technology commercialization of technology, management capability including technological innovation system, manufacturing capability and marketing capability has a relatively strong effect. On merits for new technology and/or product development, on the other hand, capability in technological aspect including R&D capability, technology accumulation capability and product development capability has relatively strong effect. Besides, in the cast of market information orientation, the level of information diffusion within an organization plays and important role in new technology and/or product development. Also, for commercial success like increase in product competitiveness, the level of information response is primarily required. Accordingly, the following policies are suggested : First, as the effect of technological innovation capability and technology commercialization capability on business performance differs among SMEs; in order for SMEs to secure competitiveness, the government has to establish microscopic policies for SMEs which meet their needs and characteristics. Especially, the SMEs lacking in capital and labor are required to map out management strategies of focusing their resources primarily on their strengths. And the government needs to set up policies for SMEs, not from its macro-scaled standpoint, but from the selective and concentrative one that meets the needs and characteristics of respective SMEs. Second, systematic infrastructures are urgently required which lead technological success to commercial success. Namely, as technological merits at respective SME levels do not always guarantee commercial success, the government should make and effort to build systematic infrastructures including encouragement of M&A or technology trade, systematic support for protecting intellectual property, furtherance of business incubating and industrial clusters for strengthening academic-industrial network, and revitalization of technology financing, in order to make successful commercialization from technological success. Finally, the effort to innovate technology, R&D, for example, is essential to future national competitiveness, but its result is often prolonged. So the government needs continuous concern and funding for basic science, in order to maximize technological innovation capability. Indeed the government needs to examine continuously whether technological innovation capability or technological success leads satisfactorily to commercial success in market economic system. It is because, when the transition fails, it should be left to the government.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.6
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• pp.37-46
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• 2014

This study investigates the effects of the degree of preparation engaged in the related industry, and the amount of financial support program on R&D performance of technology based startup companies. This study seeks to discover the core variables that impacts most on business performance. However, it should be noted that the validity of such variables and their impacts on business performance can be contentious. The study sets hypothetical variables as following. Intensity of preparation of the startup company, amount of preparation and amount of work experience in related industry are independent variable. The amount of financial support program was selected as a moderating mediating variable. According to the results, the intensity of preparation had a positive relationship with R&D performance, as opposed to work experience of the founder having a negative relationship on R&D performance. The amount of support program had no significant relationship with R&D performance. Furthermore, there are negative modified effect between the amount of support program and work experience. And, there is no relationship modified effect between support program and work experience. Existing policies tend to lean heavily toward young entrepreneurs through support and guidance. The government has placed great emphasis on policies that aim to promote and create jobs for young individuals. The results suggest that the government should review their policies toward young technological entrepreneurs and that these entrepreneurs should prepare thoroughly before launching any startups.

• Journal of the Korean Institute of Gas
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• v.19 no.2
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• pp.54-65
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• 2015

China holding the world largest shale resources, has been trying to develop their domestic shale gas fields mainly with its NOCs. Chinese shale industry looks likely to have high potential to grow in the future, considering the eager support of Chinese government and the rapid development of relevant technologies by NOCs. However, there are opposite opinions as well that Chinese shale gas could not play a positive short-term results because of the complexity of structural geology, inadequacy of water resources and related infrastructure. Recently, Korean companies began to be interseted in Chinese shale gas industry, because of the special relationships with Korean industries in terms of geographic proximity and better opportunities due to the early phase of shale gas business in China. In this study, it was tried to help those companies looking out of future Chinese shale gas industry that surveying current status and problems of Chinese shale gas industry and relevant industries and investigating some trials and policies driven by China government. As a result, the various and long-term problems in Chinese shale development were reviewed and the active supports and polices of Chinese government, NOC's trials for establishments of their independent technologies and the cooperation with foreign companies or M&As were also investigated.

• International Journal of Automotive Technology
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• v.7 no.5
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• pp.625-635
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• 2006

From a viewpoint of human factors, automated highway systems(AHS) can be defined as one of the newly developing human-machine systems that consist of humans(drivers and operators), machines(vehicles and facilities), and environments(roads and roadside environments). AHS will require a changed vehicle control process and driver-vehicle interface(DVI) comparing with conventional driving. This study introduces a fixed-based AHS simulator and provides questionnaire-based human factors evaluation results after three kinds of automated driving speed experiences in terms of road configuration, operation policies, information devices, and overall AHS use. In the simulator, the "shared space-at-grade" concept-based road configuration was virtually implemented on a portion of the Kyungbu highway in Korea, and heads-up display(HUD), AHS information display, and variable message signs(VMS) were installed for appropriate AHS DVI implementation. As the results, the subjects expressed positive opinions on the implemented road configuration, operation policies, and the overall use of AHS. The results of this study would be helpful in developing the road configuration and DVI design guideline as the basic human factors research for the future implementation of AHS.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.271-279
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• 2019

The purpose of this study is to identify the barriers of university and industry cooperation and to develop recommendations for the internal ecosystem of technology commercialization. The research method used is a survey of three categories of experts from 9 universities of Almaty (researchers, technology transfer managers, spin-off-owners). Despite the strong efforts of the government of Kazakhstan in building innovation infrastructure, there is a low level of innovation activity, less than 5% of university inventions are transferred into the industry. The results of the expert survey showed that the main barriers for cooperation between university and industry are: lack of resources to build university-industry links, lack of time due to high teaching load, poor qualification of technology transfer managers and lack of networking with industry. Based on the results of the expert survey, it is proposed to develop the ecosystem for the commercialization of university-based technologies, for which the following economic activities are important: human resources, financing, intellectual property management system, and intermediary infrastructure. The results of this study can be applied in developing the strategies and policies for universities, public research organizations, as well as for national R&D and higher education policies.

• Journal of Korea Technology Innovation Society
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• v.18 no.1
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• pp.28-48
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• 2015

This study is public R & D institutions report to verify what the impact factors on the course of progress of industrialization based on technology companies who previously received prior to the developed technology, what policies and plans for the next requirements based on this by offering the implications for business rate was to contribute to the improvement of the public research institution technology transfer. In this study, the influence factors on technology commercialization derived through the analysis of existing and previous studies, the characteristics of the previously received corporate environmental characteristics and previous technologies through a survey of the company received a technology transfer from public research institutions commercialization decisions and contributions, including sales and commercialization of the results were analyzed by logistic regression analysis demonstrated how to have relevance. Analysis, and linkage with high production company has an existing case of IT technology transfer, commercialization of higher technical success rate was higher compatibility. On the other hand, were observed and expected success rate were higher when a rather commercialized technologies independently be earlier than if participating in joint research in the development of the technology, unlike previously, completeness of the prior art did not significantly affect. This study has the following policy implications. Public research institutions have developed technologies are commercialized to figure out what the requirements of the technical aspects of consumer technologies in order to create economic wealth. And for technology commercialization for enough technical competencies to absorb the technology, and that the technology and considering the link between business and technology commercialization success to be applied. This study has some limitations. First, the sample size was not sufficient. In relation to the presence and participation of corporate success and commercialization of the R & D process, with many previous studies are needed more in-depth analysis by leading research in the sense that different results are obtained. Also did not reflect the will or the corporate culture, management and organizational skills and belongs to the external environment and internal corporate enterprises industry characteristics affecting the success of corporate management of the business. And lacked sufficient consideration of the various technical characteristics present in the form of joint research and industry. Finally, there is a limit of generalizations about other industries.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.315-325
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• 2010

The issues on education as a human capital formation in recent years have been focused for all of the countries with emerging of the knowledge-based economy. The present study compared and analyzed the relationships between the educational investment and national economic growth of ten non-English-speaking OECD countries during 1970-2008, using Ordinary Least Square (OLS) and Seemingly Unrelated Regression Estimation (SURE) as the main analytical methods. Findings indicate that educational investment, R&D investment, and fertility rate were statistically significant in the estimation of the variables related to the human capital formation, and these elements had also positive influence on the national economic growth. The most salient factor was the fertility rate, and the R&D investment and educational investment appeared as the next factors in the national economic growth. In particular, the dimensions in the coefficient of the fertility rate showed 1.8 times of the R&D and 3.5 times of the educational investment, respectively. These results imply that educational investment, R&D investment, and the policies which promote fertility rate should be taken into account for the continuous economic growth of each country.

• Journal of the Microelectronics and Packaging Society
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• v.30 no.2
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• pp.33-42
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• 2023

Throughout all industries, eco-friendliness is being promoted worldwide with focus on suppressing the environmental impact. With recent international environment policies and regulations supported by government, the electric vehicles demand is expected to increase rapidly. Battery system itself perform an essential role in EVs technology that is arranged in cells, modules, and packs, and each of them are connected mechanically and electrically. A multifaceted approach is necessary for battery pack bonding technologies. In this paper, pros and cons of applicable bonding technologies, such as resistance welding, laser and ultrasonic bonding used in constructing electric vehicle battery packs were compared. Each bonding technique has different advantages and limitations. Therefore, several criteria must be considered when determining which bonding technology is suitable for a battery cell. In particular, the shape and production scale of battery cells are seen as important factors in selecting a bonding method. While dealing with the types and components of battery cells, package bonding technologies and general issues, we will review suitable bonding technologies and suggest future directions.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.2
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• pp.167-180
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• 2006

The Ruhr region used to be a large industrial area, working as an engine of economic growth of the Germany. However, the region has been suffering from economic and social problems originating from de-industrialization. Since the 1970s, various levels of governments have attempted to solve the problems with policies of regional innovation, e.g., establishing technology parks, competence centers, and business incubators to promote start-ups, technology transfers, and networks between governments, businesses, universities, public research institutes, and the public. In this context, this paper attempts to analyse governance of regional innovation policies of the Ruhr area, based on an analytical framework developed by a groups of researchers, i.e.. Bae et al (2006), The paper concludes that the roles of governments are important in creating and implementing regional innovation policies of the Ruhr area, the policies heavily rely on the R&D capacity of local universities and public research institutes; and various levels of governments have different roles to play.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.1
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• pp.81-96
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• 2006

The Lorraine region of France is one of the regions in the core of Europe that suffered most from the decline of its traditional industries. Since the 1970s, various levels of governments have attempted to solve the economic and social problems originating from de-industrialization with policies of regional innovation, e.g., establishing technopole, the creation of the technology transfer network, the launch of the RTP project, and business incubators to promote start-ups, technology transfers, and networks between governments, businesses, universities, public research institutes, and the public. In this context, this paper attempts to analyse governance of regional innovation policies of the Lorraine region, based on an analytical framework developed by a groups of researchers, i.e.. Bae et at (2006). The paper concludes that the roles of governments are important in creating and implementing regional innovation policies of the Lorraine region; the policies heavily rely on the R&D capacity of universities and public research institutes; and various levels of governments have different roles to play.