• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.215-235
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• 2024

As artificial intelligence (AI) technology is recognized as a key technology that will determine future national competitiveness, competition for AI technology and industry promotion policies in major countries is intensifying. This study aims to present implications for domestic policy making by analyzing the policies of major countries on the start-up of AI companies, which are the basis of the AI industry ecosystem. The top four countries and the EU for the number of new investment attraction companies in the 2023 AI Index announced by the HAI Research Institute at Stanford University in the United States were selected, The United States enacted the National AI Initiative Act (NAIIA) in 2021. Through this law, The US Government is promoting continued leadership in the United States in AI R&D, developing reliable AI systems in the public and private sectors, building an AI system ecosystem across society, and strengthening DB management and access to AI policies conducted by all federal agencies. In the 14th Five-Year (2021-2025) Plan and 2035 Long-term Goals held in 2021, China has specified AI as the first of the seven strategic high-tech technologies, and is developing policies aimed at becoming the No. 1 AI global powerhouse by 2030. The UK is investing in innovative R&D companies through the 'Future Fund Breakthrough' in 2021, and is expanding related investments by preparing national strategies to leap forward as AI leaders, such as the implementation plan of the national AI strategy in 2022. Israel is supporting technology investment in start-up companies centered on the Innovation Agency, and the Innovation Agency is leading mid- to long-term investments of 2 to 15 years and regulatory reforms for new technologies. The EU is strengthening its digital innovation hub network and creating the InvestEU (European Strategic Investment Fund) and AI investment fund to support the use of AI by SMEs. This study aims to contribute to analyzing the policies of major foreign countries in making AI company start-up policies and providing a basis for Korea's strategy search. The limitations of the study are the limitations of the countries to be analyzed and the failure to attempt comparative analysis of the policy environments of the countries under the same conditions.

• Journal of Venture Innovation
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• v.5 no.4
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• pp.109-115
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• 2022

As the 4th industrial revolution progresses, foreign countries are promoting smart manufacturing innovation through digital transformation as a priority task early on to secure a competitive edge in the manufacturing industry. In response, the Korean government is also promoting a policy to enhance the competitiveness of small and medium-sized manufacturing companies by promoting digital transformation in the corporate sector to meet the global trend of the 4th industrial revolution era. Manufacturing powerhouses such as Germany and Japan see manufacturing as a key sector in digital transformation and are leading related policies, while emerging countries such as China are also promoting manufacturing innovation strategies such as building digital infrastructure and creating a digital innovation ecosystem. Korea is promoting the 'Korean-style smart factory dissemination and expansion strategy' by transforming Germany's manufacturing innovation strategy for smart factory supply to suit the domestic situation. However, the policy to supply smart factories so far has been conducted with support from individual companies under the leadership of the government, and most of the smart factories are at the basic level, and it is evaluated that there are limitations such as the lack of manpower to operate smart factories. In addition, while the current policy focuses on expanding the supply of smart factories in SMEs, it is necessary to establish a smart manufacturing system through linkages between large and small businesses in order to achieve the original goal of establishing a smart manufacturing system. Therefore, it can be said that from the standpoint of small and medium-sized enterprises (SMEs), who are consumers of smart factories, it can be said that the digital transformation policy can achieve the expected results only when appropriate incentives are provided for the introduction of smart factories in a situation where management resources such as funds, technology, and human resources are lacking. In addition, it is judged that the uncertainty of the performance of digital investment always exists, and as long as large and small companies are maintained as an ecosystem of delivery and subcontracting, there is very little incentive for small and medium-sized manufacturing companies to voluntarily invest in or advance digital transformation. Therefore, the digital transformation policy of small and medium-sized manufacturing companies in the future has practical significance in that it suggests that there is a need to seek ways to attract SMEs' digital-related voluntary investment.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.2
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• pp.43-57
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• 2015

All countries of the world are promoting the creative economy policy to overcome the global economic crisis. Korean government enforces the creative economy policy for the economic growth and job creation. Especially, Technology based startup is actively supported to realize the creative economy. To maximize the efficiency of supporting start-ups, we have to analyze a perception gap of the startup success factors between technology based entrepreneur and startup facilitator. Through the analysis, the supporting policy of startup utilized efficiently the limited resources is necessary. So, the purpose of this study is analysis the difference of the startup success factors which technology based entrepreneur and startup facilitator recognize. To analysis, the start-up success factors derived from previous studies were categorized them as 1) characteristics of the founder, 2) start-up strategy, 3) characteristics of the organization, and 4) start-up environment. Also, The CEO of technology based start-ups and the researcher in national research institute to support SMEs were surveyed. Then, Survey was analyzed by utilizing the ANP methodology to priority derivation of start-up success factors. Result of analysis, Technology Based Entrepreneur was determined that 'composition and expertise of organization' is most important factor for success of startup. On the other hand, Startup facilitator was determined that 'financing strategy of organization' is most important factor for success of startup. Both groups are recognized as important strategy. And start-up environment is recognized as a relatively unimportant. On the other hand, the importance which two groups evaluate about characteristics of entrepreneur and characteristics of organization was different. This study has a academic significance to analyze the priority of the startup success factors between technology based entrepreneur and startup facilitator. Also, It can be utilized practical guideline when policy making about technology based startup.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.13-36
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• 2017

오늘날의 과학기술은 국가전체의 경쟁력 강화는 물론, 지역의 산업과 경제를 발전시키고 국가의 균형발전을 도모하는데 있어서 매우 중요한 역할을 수행한다. 지역경제 활성화의 주역인 중소 벤처기업을 육성하고, 지역산업을 체계적으로 발전시키며, 지역주민의 생활편의 향상을 위한 각종 지역개발 사업을 추진함에 있어서 과학기술이 핵심적인 요소이자 중요 수단으로서 기능하고 있기 때문이다. 이에 따라, 각 국가들은 1970년대 이후 지방의 과학기술을 육성하고 지원하기 위한 지방과학기술정책을 지속적으로 수립하여 추진해 나가고 있다. 우리나라의 지방과학기술정책이 실질적으로 수립되고 추진된 것은 1990년대 초반 이후 과학기술이 지역경제 활성화를 위한 유효한 수단으로 인식되기 시작하면서 경제 관련 부처를 중심으로 지역과 연계한 각종 사업들을 추진하면서 부터라고 할 수 있다. 특히 과학기술의 지방화 내지 과학기술 지방분권에 관한 논의와 정책적 노력은 1995년에 도입된 지방자치제도의 본격적인 시행과 함께 이루어졌다고 할 수 있다. 그러나 그 진전과 발전은 아직도 여전히 미흡한 상황이다. 이는 과학기술의 연구개발과 진흥이라는 정책의 특성에 기인하기도 하지만, 지방자치단체 스스로 관련 정책을 수립하고 추진할 수 있는 기반과 여건이 제도적인 측면에나 실제적인 측면에서 매우 취약하였던데 그 원인이 있는 것으로 분석된다. 이 글은 과학기술의 지방분권을 강화하여야 한다는 최근의 사회적 논의와 관련하여 지방과학기술정책의 발전을 위한 방안을 모색하는데 그 목적이 있다. 이를 위해, 그동안의 지방과학기술정책 추진현황 및 지역의 과학기술 혁신기반과 역량을 살펴보고, 앞으로 지방 스스로가 지역의 과학기술혁신정책을 수립하고 집행할 수 있는 역량과 기반을 강화하는데 필요한 제도적 과제들을 검토하여 제시하였다.

• The Journal of Small Business Innovation
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• v.21 no.1
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• pp.1-14
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• 2018

South Korea's percentage of the self-employed still ranks among the highest amid OECD nations and thus is perceived to be a huge burden on the national economy. Accordingly, the government is continuing its support with the expectation that a support policy is needed for the self-employed. However, few analytic studies exist so far on the economic effect of the government's support of the self-employed. Thus, this study analyzes the practical effect of the government's self-employed support. According to the estimation result while determining the sales amount of the self-employed, the labor input, business period, age, gender, prior business preparation period, and the experience variable of the self-employed support policy are shown to be significant. The result of this study provides an important practical guideline on the political factors that should be prioritized when the government politically supports the self-employed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.135-151
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• 2021

This research attempts to analyze the factors influencing the entrepreneurial intention of employees in manufacturing field. In particular, key factors of entrepreneurship and personal characteristics explain a significant association with the intention to start-up. And study whether R&D support from public enterprise adjusts intention to entrepreneurial Intention. This study conducted a online survey on 292 small and medium-sized enterprise manufacturing employees in May 2020. Using linear regression model and binary logistic model. The main study results are the following: First, among the key factors(innovativeness, proactiveness, risk-taking) of entrepreneurship, proactiveness hardly influenced the opportunity competency. Second, among the factors(risk-taking propensity, locus of control, tolerance for ambiguity) of personal characteristics, locus of control hardly influenced the opportunity competency. Third, opportunity competency(opportunity recognition and opportunity evaluation) had positive influence to entrepreneurial intention. Fourth, the study investigated the mediated effect of opportunity competency. The result showed that among the factors of entrepreneurship and personal characteristics, only two factors that are proactiveness and locus of control were not mediated by opportunity competency. and opportunity evaluation was acted as a mediator between proactiveness and entrepreneurial Intention, compared with opportunity recognition. Lastly, public enterprise's R&D supporting moderated the entrepreneurial intention). Based on the result, the study showed that first, the key factors of entrepreneurship except for proactiveness and personal characteristics(risk-taking propensity, locus of control, tolerance for ambiguity) except for locus of control affect the intention to start-up, repeatedly. This results are explained that employees have not started a business yet. Second, research on start-up suggests the need to analyze factors differentiated before and after the start-ups. Based on the results, entrepreneurship and personal characteristics show that study on the effects of start-up intentions should be carried out before and after the actual start-up takes place, and can be used as effective data in policies to promoting start-ups in manufacturing field.

• Industry Promotion Research
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• v.9 no.3
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• pp.101-117
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• 2024

This study empirically analyzed the factors affecting the intention to utilize manufacturing AI in SM-sized manufacturers by applying the TOE framework. Independent variables that are expected to influence were applied, focusing on TOE factors and managerial characteristics that reflect the characteristics of SME manufacturers. In addition, the mediating effect of technology trust and the moderating effect of factory location were analyzed. The results are as follows. First, the relationship between the independent variables and the dependent variable was tested, and the direct effects of the independent variables(complexity, organizational innovation, IT ability, competitive pressure, partner support, and managerial innovation) on the dependent variable were all statistically significant, except for compatibility. Second, the mediation effect of technology trustness was verified to have a full mediation effect between compatibility and utilization intention, and a partial mediation effect between managerial innovation and utilization intention. Third, among the seven independent variables, the moderating effect of factory location(metropolitan and non-metro) between the three independent variables of IT ability, competitive pressure, and partner support and the utilization intention was found to be significant. To increase the intention to utilize manufacturing AI for SM-sized manufacturers, it is recommended that more diverse and broader studies are needed, not only the factors identified in this study, but also the understanding and awareness of manufacturing AI.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.410-422
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• 2018

This paper studies the factors that increase the sustainability of Industry-University cooperation in the current structure of domestic I-U cooperation, which is highly dependent on government support. First, we examine the extent to which the 'I-U Relationship Strength' can be explained by the cumulative 'Experiences of I-U cooperation' and 'Width of various I-U cooperation channels', and the 'I-U cooperation barrier' can be explained by the 'Difference in mutual recognition' and 'Institutional barriers' on sustainability. In addition, the factors that can lower the 'I-U cooperation barrier', such as the 'University administration's efforts' and 'Trust between I-U', are examined. The researchers examined the factors affecting the sustainability of I-U cooperation and the factors affecting 'I-U cooperation barriers' in the 'I-U cooperation technology development projects' of the Ministry of Small & Medium Venture Business and Startups with its long history of domestic I-U cooperation programs. In order to clarify the data of the research sample, a questionnaire survey of organizational units was conducted for all companies participating in the 'I-U cooperation technology development projects' of the Ministry of SMVB and Startups between 2011 and 2015, and the responses of 356 organizations were used. It was found that the greater the 'Width of the I-U cooperation channels', the higher the sustainability and that the greater the 'Institutional barriers', the lower the sustainability. However, through the 'University administration's efforts' and 'Trust between I-U', it is possible to overcome the 'I-U cooperation barrier'. Ultimately, the systematization of Industry-University-Research institute subjects is needed to realize sustainability. In other words, it is necessary to have a linkage program that can broaden the link between industry and universities, that is to broaden the scope of I-U cooperation. Moreover, it is necessary for the government to provide institutional support to promote desirable I-U cooperation policies. Finally, it is essential to change the universities' core organizations in order to improve the level of university administration services.

• Journal of Korea Multimedia Society
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• v.9 no.7
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• pp.872-893
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• 2006

In this study, I classify the elements of physiognomic judgment of character with regard to form and meaning from a visual perspective based on physiognomic judgment of character study in 'the cosmic dual forces and the Five Elements theory'. Individual characters for each type are designed using graphic data. Based on that, design system of individual characters for each personality type is investigated using Neural Network system. Faces with O-Haeng (Five Elements) shapes are shown to constitute the system with ${\pm}0.3%$ degree of error tolerance for the non-loaming input data. For the shapes of Chinese characters 'tree, fire, soil, gold and water', their MSE(Mean Square Error) are 0.3, 0.3, 0.2, 0.5, 0.2. It seems to be the best regarding the scoring system which ranges from 0 to 5. Therefore, this system might be regarded to produce the most accurate facial shape of character automatically when we input character's personality we desire to make.