• Journal of Korea Technology Innovation Society
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• v.10 no.3
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• pp.555-579
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• 2007

This study analysed theory and application of holistic innovation policy in the 3rd generation innovation policy with cases of Finland and Korea. Innovation policy areas of both countries are expanding from simple goal of economic development to extensive goals such as sustainable development, quality of life, balanced growth etc. Also administrative system changed in order to let technical innovation on the center of national operation and reorganized relation and structure of relative policies like manpower, education, region policy. Particularly, Korea is in embryo standing for S&T driven society since Noh's government. But, there are differences in embodiment degree and feature between both countries. Finland reinvigorate field of public opinion due to corporatism tradition as a Scandinavian institution. Government support system developed co-program and co-policy beyond territory of individual ministry to raise policy effectiveness. However, concept of the Korean innovation policy is ahead of the times but maintained framework of developing country. And there is no active participation of private sector and civil society because transition process accomplished on the top-down method, It could hardly progress toward transition in spite of various efforts to carry out a reform.

• Journal of Korea Technology Innovation Society
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• v.3 no.1
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• pp.68-84
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• 2000

본 논문은 기술신용보증기금 기술평가사업본부에서 시행하고 있는 기술평가 기법을 중심으로 기술평가를 시행하는데 있어 고려하여야할 여러 현실적인 문제에 대하여 언급한 것이다. 분석기법은 실무에서 가장 많이 사용하는 이익접근법을 중점적으로 검토하였다 한편 기술평가가 보다 효율적으로 되기 위해서는 업종별 평가 모형이 구축되어야 하고 미래현금흐름을 추정함에 있어 기업의 특성과 소속업종의 특성을 반영해야 한다는 점을 지적하였다.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.634-657
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• 2016

This study analyzes relationship between utilizing patents and trade secrets of firms empirically by using Koran Innovation Survey data. A number of prior theoretical studies have been discussed by assuming the patents and trade secrets used as alternative mutual relations. However, the use of patents and trade secrets can be used as a complementary and alternative methods generally based on a variety of firm and innovation characteristics. In this study, after controlling for nature of businesses, industry and innovation, the relationships between patent and trade secrets were analyzed by using 2005, 2008, 2010, 2012 and 2014 cross-sectional data. Prior to 2010, the relationship of patents and trade secrets was used as a complementary, while the result of 2014 showed that patents and trade secrets were utilized by firms independently. However, because we couldn't completely rule out the possibility that this result is caused by the difference between surveys, we performed a additional analysis. In conclusion, the independent relationship between patents and trade secrets may be caused by the increased number of patent applications and preference for the patent by firms since 2010.

• Journal of Venture Innovation
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• v.3 no.2
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• pp.41-76
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• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.

• The Journal of Small Business Innovation
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• v.20 no.2
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• pp.1-16
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• 2017

The purpose of this study is to investigate the factors affecting innovation capability and innovation performance of midsize company entering overseas market. More specifically, in terms of managerial, organizational, and employee - level factors, we set leadership, operating system, and taking charge at work as variables influencing innovation capability and tried to understand the effect of innovation capability on innovation performance through empirical studies. In addition, we examined the differences in the influence factors on innovation capability and the effect on innovation performance in the home country and overseas countries. As a result of the empirical analysis, all of the influence factors had a positive effect on the innovation capability and the innovation capability had a positive effect on the innovation performance. The degree of influence was in the order of operating system, leadership and taking charge at work. In China, there is no significant difference in the order of operating system, leadership and taking charge at work. In the case of Korea, operating system and leadership have a positive effect, but the employee's taking charge at work does not affect innovation capability. The results of this study are as follows. First, it is necessary to enhance innovation capability in accordance with local characteristics. In Korea, there are additional activities to induce employee's taking charge at work is required for improved innovation capability and innovation performance.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.95-105
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• 2018

This study empirically test the roles of network closure and structural hole on radical innovation in technological knowledge exchange network in Gumi cluster. In doing so, we build 2,550 firm network, transforming association*firm(2-mode) to firm*firm(1-mode) network data. In addition, in order to investigate firms' attributes, we conduct survey for 101 firms in Gumi cluster using random sampling, and finally collect 86 firm samples. For analysis, we use ridge regression since network density and efficiency, indices of network closure and structural hole respectively, has a high level of multicollinearity. The findings show that structural hole has a significant and positive impact on radical innovation, but network closure has a significant and negative impact on radical innovation. This study contributes to present an empirical evidence of debate on network closure and structural hole based on past conceptual discussions and literature review and further goes a long way towards strategy formulation to establish social capital in accomplishing radical innovation. Further research is required that pays closer attention to features of technological knowledge, innovation types and interaction between network closure and structural hole, directing efforts to structural characteristics of various networks.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.1
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• pp.1-12
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• 2015

The purpose of this study is to examine the effect of company characteristics and individual characteristics perceived by employees of small businesses on job satisfaction and especially to seek activation of the organization by extending from previous studies to examine the intermediary role of company innovation and applying management measures focusing on the environment of changing global society where CEOs of small businesses cause job satisfaction of organizational members and present the direction for the improvement of management and institutional development. This study was carried out for about 2 months targeting employees of small businesses and the results of empirical analysis are as follows: First, company characteristics and individual characteristics perceived by employees of small businesses turned out to have a positive (+)effect on job satisfaction but the hypothesis that job stress affects job satisfaction was not significant. Second, of the effects of company characteristics and individual characteristics perceived by employees of small businesses on company innovation, organization flexibility and CEO's leadership, company communication and degree of cooperation between departments, individuals, challenge of individuals perceived individual characteristics were found to affect company innovation but the hypothesis that job stress affects it was not significant. Third, company innovation was found to have a positive (+)effect on job satisfaction and fourth, in the intermediary effect verification of company innovation between company characteristics and individual characteristics perceived by employees and job satisfaction, organization flexibility and communication, collaboration turned out to perform partial intermediation and CEO's leadership to perform full intermediation and individual challenge performance to perform full intermediation and the intermediary effect of job stress was not proven. These results are company characteristics and individual characteristics that is the perception of the independent variables in SME employees is not only a direct relationship with job satisfaction, suggesting that also has an indirect effect is mediated depending on the innovation of the company. Therefore, it can be seen that even for the innovation performance of enterprises is important to increase the job satisfaction of employees of SMEs. In particular, the conductivity of the leadership and individual parameters so completely over the innovativeness of the company is the result of job satisfaction itgetda can be said that the innovation efforts of the organization is effective at the same time be pursued.

• Journal of Korea Technology Innovation Society
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• v.12 no.1
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• pp.237-264
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• 2009

Many Korean companies wanted to improve technological competitiveness and business performance radically through technology leadership initiatives. In-depth case studies about successful Korean technological innovation in the technology generation stage have potential to minimize Korea and developing country firms' trial and error when they are pursuing new technological innovation in the technology generation stage. There are few studies about developing country firms' technological innovations in the technology generation stage and especially process innovation studies are far less performed compared to product innovation studies. This is an exploratory study of POSCO's FINEX process technology innovation in the technology generation stage. These are my findings from this study. Firstly, leadership innovation in the technology generation stage is not a continuous development of catch-up innovation in the technology internalization stage and only top managements can initiate highly risky leadership innovation. Secondly, developing country firms which lacked in technological capability overcomes difficulties in the early stage through complementary technological collaboration with R&D first-movers. Thirdly, this company become a technology leader in spite of late entry in technology development race with developed country firms through rapid scale-ups.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.469-482
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• 2019

This paper analyzes the effects of government support systems, regulation, and innovation promotion policy on technological innovation performance of companies in the service industry using 4,000 Korean service industry companies. Multiple and hierarchical multiple regression analysis were used to analyze the correlation between the individual factors and process innovation and product innovation. Government support, regulation and technology innovation in the service industry were tested. In addition, government innovation promotion policy includes government support and regulation and the technological innovation performance of service firms. As a result, the government support system affects both the process innovation and the product innovation performance in the service industry, but affects only the process innovation performance in the case of regulation. Innovation promotion policy was found to regulate the relationship between government support systems and regulation and innovation performance of the service industry. Therefore, these findings provide strategic implications for the management of enterprises in relation to government support systems and innovation policy. It is necessary to reorganize regulations that are outdated to improve the effect of innovation policies on innovation performance.

• Electronics and Telecommunications Trends
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• v.29 no.2
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• pp.1-15
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• 2014

기술혁신이고용에 미치는 영향에 대한 논쟁은 산업혁명 시기부터 시작된 오래된 경제학적 이슈다. 개별 기술혁신의 영역과 성격, 산업 특성에 따라 상이한 양상으로 나타나는 고용변화를 한마디로 단정하기는 쉽지 않고 기술혁신에 따른 고용 보상효과를 실증적으로 검증하는 것 또한 어렵다. 하지만 기존의 기술혁신이 대체해온 인간의 능력이 주로 육체적인 것이었던 점에 비해 빠르게 진화 중인 스마트기술은 인간의 지적능력의 상당부분을 모사할 것으로 보여 주의가 요구된다. 인간 고유능력인 지능을 확장하고 나아가서는 자체적으로 인간 지능을 기술 자체에 내재화해 나가고 있는 스마트기술의 발전은 제조업뿐만 아니라 의료, 법률, 금융, 교육 등 복잡한 전문 지식과 상호작용이 필요한 영역의 업무환경과 고용에 영향을 미칠 것으로 전망된다. 한편 스마트기술에 의한 고용 대체가능성에 대한 경고에만 집중하는 것은 새로운 산업창출과 경제성장동력을 간과할 수 있다. 균형잡힌 미래 전망과 정책적 대비가 필요하다.