• 한국벤처창업학회:학술대회논문집
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• 2020.11a
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• pp.163-166
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• 2020

저출산으로 경제활동인구가 감소했는데도 청년실업자가 늘어난 나라는 한국, 이탈리아, 그리스인데 이는 OECD국가 중 유일하다. OECD 청년고용률은 2009년 40.5%에서 2019년 43.5%로 증가했지만 순위는 30위에서 32위로 하락했다. 코로나19사태로 매출이 감소한 국내 301개사는 채용을 미루거나 포기한 비율이 전체 50.5%애 이르면서 앞으로 청년 취업 상황을 악화시킬 것으로 보인다. 양질의 일자리가 증가하면 이를 통해 개인은 경쟁력을 확보하게 되고 산업은 고급 인력을 바탕으로 성장구조를 만든다. 따라서 민간과 정부는 창업을 적극적으로 독려하고 활성화 시킬 필요가 있다. 청년창업대상자를 중심으로 진행하는 사업은 중소벤처기업부의 청소년 비즈쿨 사업과 창업에듀, K-스타트업, 청년창업사관학교, 학생창업유망팀 300등이 있다. 그러나 대부분의 지원 사업이 초기창업단계에 지원역량이 강화되어 있고 공급자 위주로 창업지원 사업을 운영하다보니 창업 성과는 미미하다. 통계청 자료에 의하면 20대는 생계유지에 대한 문제와 창업자금으로 인해 창업을 망설이고 30대는 가족을 돌보는 것에 대한 부담감과 기업가에 대한 부정적인 인식으로 창업을 기피 하는데 이는 40대이상 다른 연령층보다 높게 나타났다. 본 연구는 개인적, 환경적 요인이 연령에 따라 창업의지에 어떤 영향을 미치는지 비교분석하여 일자리 활성화를 위한 정부의 청년창업지원대책 기초자료에 도움이 되고자 한다. 청년창업대상자의 금전에 대한 태도, 창업역량, 성공한 롤모델, SNS 활용능력, 창업지원정책, 사회적지지, 인적네트워크, 해외시장 관심도가 창업의지에 어떤 상관 관계를 갖는지 비교연구를 진행하고자 한다. 10대의 경우 취업과 창업을 고민하는 특성화고등학생 150명, 20대 150명, 30대 150명으로 총 450명의 데이터를 가지고 SPSS 23을 통해 다중회귀분석을 진행하고 원인을 비교해 앞으로의 정책이 창업을 독려하고 지속력을 갖기 위한 방향으로 시사점을 제안한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.5
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• pp.45-56
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• 2016

According to attended about startup, there are many policy and program for activating of startup. Government's policy and program was scale up and arrangements for high quality. Nevertheless, policies and programs are concentrated on ante-startup stage. And experts have questioned that effect. So, there are needed a program focusing pre-startup and incubation stage. Accordingly, this study propose a kind of educative program named Pre-Startup Support Program. Through the program, pre-startup teams or entrepreneurs will inspect items, business skills and surroundings of market and competitors. And they have a time for complementation of deficiency. This study selects ETRI spin-off(research based spin-off born ETRI) by means of an object of study. ETRI's programs are started in 2011 with intent to incubate the entrepreneur through market research, mentoring, space of incubation and funds. This study analyze using the ISA(Important-Satisfaction Analyze) and the regression. We classify the pre-startup support program using the ISA. And then, we analyze the influence of satisfaction using the regression. On the basis of results, we identify the effectiveness of pre-startup support program and propose plans for reinforcement. In conclusion, adopting a pre-startup support program is expected to success of startup.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.6
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• pp.95-114
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• 2020

This paper, a meta-analysis of the effect of the start-up support policy on the start-up performance was conducted to examine the effect of the start-up support policy on the start-up performance of beneficiary companies and to provide theoretical and practical implications to support organizations and practitioners. To this end, 35 papers containing the correlation coefficient, which is a positive statistical value, were selected from the previous studies in academic journals and dissertations published in Korea from 2007 to 2020. In the preceding study of the start-up support policy, the independent variables include funding, education support, facility/equipment support, network support, mentoring support, consulting support, marketing support, management support, technical support, manpower support, and finance as a dependent variable. The effect size of the impact on aptitude and non-financial performance was reviewed. The pattern of the effect size was presented as a forest plot for easy visual understanding, and outliers were verified through sensitivity analysis for small-study-effect data with publication convenience. As a result of analyzing the effect size of the government-supported policy, it was verified that the effect size was generally medium or higher, affecting the entrepreneurial performance. Among the independent variables, the factor that has the greatest effect on startup performance is manpower support, followed by technical support, marketing support, management support, facility/equipment support, education support, mentoring support, funding, network support, and consulting support. It was analyzed that the effect size was large in order. As the 「Small and Medium Business Startup Support Act」 was recently reorganized from the manufacturing industry to digital transformation and smartization on October 8, 2020, the start-up support policy should consider the start-up stage and verify the priorities to organize the budget.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.79-87
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• 2012

While the youth unemployment problem has come to extend over a long period of time, because of the promotion policy of youth inauguration of an enterprise, many youths have been considering the start-up to be an alternative of the working. But it is said that many youths who had started an enterprise through the start-up education and related programs were unsuccessful mostly and dashed to get a job or became the delinquent borrower. This article will examine the actual conditions of the youth unemployment and the present conditions of promotion policy of the youth start-up, analyse problems as a result of this examination, propose alternatives of policy to revitalize the youth start-up.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.2
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• pp.41-54
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• 2017

The purpose of this study is to find out how the support system of the government and the local governments for enhancing the success rate of the startup firms affected the performance of the enterprises according to the behavior characteristics of the founders. It is divided entrepreneurial support system into entrepreneurial policy support such as entrepreneurial education, mentoring and consulting, and funding of startup support such as policy fund and R & D fund, distinguished the behavior of founder into behaviors for discovery of entrepreneurial opportunities and behaviors for exploiting entrepreneurial opportunities. In order to analyze whether it affects the corporate management performance, a research model was created based on the previous research and hypotheses were set up, and the hypotheses were verified based on this questionnaire. The results of this study are as follows: First, it is found that the support for entrepreneurial policy has a positive effect on the behavior characteristics of entrepreneur. Second, it is found that the startup support such as policy fund affects the behavioral characteristics for finding the opportunity of the founder, but it does not affect the behavioral characteristics for the opportunity exploit. Third, it was found that the behavior characteristics of entrepreneur founding opportunity and exploition of entrepreneurial opportunity influenced the performance of the company. According to the this study, the following conclusion were obtained, First, it is necessary to apply different policies according to the stage of growth of startup companies. Second, startup companies grow through the stages of development of new technologies and ideas, commercialization, and marketing, at each stage, entrepreneur must overcome the so-called Death Valley, which requires funding.

• The Optical Journal
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• s.137
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• pp.72-77
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• 2012

올해 3조3000억원 가량의 정책자금이 중소기업 지원에 투입된다. 중소기업청과 중소기업진흥공단은 청년층 창업 촉진과 미래성장 기업 집중 육성을 위해 올해 3조3000억원 규모의 중소기업 정책자금을 운용할 계획이라고 밝혔다. 3조3000억원의 정책자금 규모는 지난해의 3조2000억원보다 3.9% 증가된 것으로, 만 39세 이하 청년창업기업 지원을 위해 2100억원 가량이 늘어난 게 주효했다. 우선 청년층 창업에 대한 부담 완화를 위해 창업 실패 시, 심사를 통해 대출금 상환부담을 줄여주는 융자상환금조정형에 500억원이 투입된다. 또 민간매칭으로 시중은행을 통해 집행되는 민간연계형 자금 1600억원과 청년전용창업자금 등이 신설된다. 1인창조기업 특성을 반영한 특화자금으로 500억원이, 제조기반기술분야 경쟁력 강화를 위한 소공인 특화자금으로 450억원이 투입되고, 1500억원 규모로 투자와 융자의 장점을 복합시킨 투융자복합금융이 별도로 신설된다. 자세한 사항 및 정책자금 신청 희망기업은 중소기업진흥공단 홈페이지(www.sbc.or.kr) '정책자금 융자도우미'를 통해 신청요건 및 추천자금 등을 자가진단 후 신청하면 된다.

• 한국벤처창업학회:학술대회논문집
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• 2018.11a
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• pp.39-47
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• 2018

급변하는 산업 환경에서 창업에 대한 지속적인 수요 증가는 창업기업의 생존과 성장을 위한 정부의 실효성 있는 지원과 체계적인 창업 육성정책 수립의 필요성이 강조되고 있다, 이를 위해 새롭게 변화하는 창업 트렌드와 창업기업의 특성에 적합한 창업업종 분류기준이 요구된다. 따라서 본 연구에서는 체계적인 창업 육성정책 수립을 위하여 최근 '4차 산업혁명시대'에 떠오르는 융합기술기반 창업 트렌드를 반영한 새로운 창업업종 분류체계에 대한 기준을 제시하고자 시도되었다. 창업 생태계 동향과 창업업종 분류 체계의 관련 선행연구 고찰을 통하여 전문가 집단을 대상으로 델파이 기법을 활용하여 창업업종 분류체계를 개선하였다. 연구결과 창업업종 분류는 크게 기술창업과 일반창업으로 구분하고, 기술창업은 ICT 서비스, ICT 제조, 일반제조, 문화콘텐츠, 바이오 분야로 로 구분하며 일반창업은 유통과 서비스로 재분류하였다. 이러한 연구결과는 기존 산업별 분류체계에서 벗어나 창업기업의 업종 분류체계의 새로운 기준을 마련하여, 향후 창업 트렌드를 반영한 효율적인 창업지원정책 마련에 있어 시사점을 제시한다.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.21-37
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• 2016

The purpose of study was to examine the entrepreneurial supporting policy and the entrepreneurship which can affect the entrepreneurial intention, and to prove the moderating effect of the business failure burden and the self-efficacy on the relationship of the entrepreneurial supporting policy, entrepreneurship and the entrepreneurial intention through the empirical study in the fusion of industries. We used data from 321 survey participants by using structured questionnaires, excluding dishonest respondents, and statistical analysis was conducted using SPSS 18.0 statistic package. We used hierarchical regression technique to prove our hypothesis. The results showed that education and marketing support which are part of the entrepreneurial supporting policy in the fusion of industries will have positive influence on innovativeness, pro-activeness and risk acceptability which are part of entrepreneurship. It has been reported that only funding support has positive influence on entrepreneurship pro-activeness. The results also indicated that the entrepreneurial supporting policy will have positive influence on the entrepreneurial intention, but business failure burden and self-efficacy will have no moderating effect in the relation between the entrepreneurial supporting policy and the entrepreneurship. The theoretical and practical implications of the findings were discussed and the directions for future research were presented.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.43-58
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• 2021

This study analyzes the entrepreneurship policies of the previous Korean administrations from the perspective of the Policy Paradigm by Hall(1993). A total of 195 newspaper articles and 202 government documents were examined to identify policy paradigm shifts through an analysis of policy objectives, policy instruments, and changing quality of policy instruments by each administration. The first paradigm was built during the 5th and 6th Republic, where 'Support for Small and Medium Enterprise Establishment Act' was enacted in 1986 to promote and support start-ups in the manufacturing sector. Next is the so-called 'people's government' period where 'Act on Special Measures for the Promotion of Venture Businesses' was enacted to tackle the challenges posed during the 1997 Asian financial crisis. A new policy goal was set to promote and nurture venture companies seeking subsequent means to achieve it. The third paradigm shift took place during President Moon's administration in order to effectively respond to the issues stemming from the fourth industrial revolution and the COVID-19 pandemic. Through the overall revision of the 'Support for Small and Medium Enterprise Establishment Act', the scope of startups were expanded, new industries and technology startups were supported and promoted, and venture investment-related laws were streamlined. In addition, the Small and Medium Business Administration was promoted as the Ministry of SMEs and Startups, enabling them to take initiative in implementing startup policies. Particularly, this study focuses on examining the low survival rate of startup companies and the revitalization of private investment as rising policy issues for recent startups, and suggests the improvement direction due to startup policy paradigm shift.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.2
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• pp.109-121
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• 2021

With the recent increase in senior retirement, and senior start-ups are becoming more active due to high interest in start-ups. Research on young entrepreneurship, including college students, is being actively conducted, but most of the preceding research on senior entrepreneurship was conducted mainly on personal characteristics and social environment, and there were not many empirical studies on the influencing factors of entrepreneurship support policies. In this study, research and discussion on the entrepreneurial support policy and entrepreneurial competence as the influencing factors of senior entrepreneurship. As the independent variable of this study, the founder's competency was adopted as two factors: technical competence and creative competency, and the entrepreneurial support policy was divided into education support and funding support. Mentoring was set as a controlling variable and entrepreneurial intention was set as a dependent variable. A total of 232 questionnaires collected from seniors in their 40s or older were empirically analyzed. To verify the hypothesis of the study, SPSS 23 was used for exploratory factor analysis and regression analysis, and Process 3.4 was used for moderation effect. As a result of the study, it was found that the factors of technical competence, creative competence, educational support, and funding all have a significant influence on the will of entrepreneurship. It was found that creative competency(𝛽=.318), funding support(𝛽=.188), educational support(𝛽=.152), and technical competence(𝛽=.139), in this order, influenced the entrepreneurial intention. It was verified that the moderating effect of mentoring was significant between technical competence, creative competence, and entrepreneurial intention, but the moderating effect of mentoring between educational support, funding and entrepreneurial intention was not. The implications of this study will contribute to the research of senior start-up support policies, institutional supplementation, and differentiated start-up support programs by studying the factors of senior start-up capabilities and start-up support policies. It is also believed that it will contribute to the search for ways to increase creative capabilities that have a high influence on the willingness to start a business and the expansion of mentoring functions.