• Asian Journal of Innovation and Policy
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• 제9권3호
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• pp.308-338
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• 2020

The entrepreneurial journey is not short of challenges, and about 90% + tech start-ups experience failure (Startup Genome, 2019). The magnitude of the challenges varies across the tech start-up lifecycle stages, namely emergence, stability, and growth. This opens the research question, do the profiles of a start-up and its co-founder impact start-up success or failure across its lifecycle stages? This study aims to understand and identify the profiles of tech start-ups and their co-founders. We gathered primary data from 151 start-ups (Status: 101 failed and 50 successful ones), and they are across different lifecycle stages and represent six major start-up hubs in India. The chi-square test on status and start-up's lifecycle stage indicates a noticeable correlation, and they are not independent. The Kruskal Wallis test was used to distinguish statistically significant profile attributes. The parameters distinguishing success and failure are identified, and the need to deliver customer experience is emphasized by the start-up profile attributes: Product/service, high-tech nature of a start-up, investor fund availed, co-founder experience, and employee count. The importance of entrepreneurial experience is ascertained with entrepreneur profile attributes: Entrepreneurial expertise, the number of prior and current start-ups, their willingness to start again in the event of failure, and age of co-founder, which is a proxy to learning and experience. This study has implications for entrepreneurs, investors, and policymakers.

• 기술혁신학회지
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• 제6권1호
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• pp.60-73
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• 2003

There are many studies on spin-offs from college, but there is little concern on start-ups, which are set up by college and operated by professors. We call this type of start-up as college start-up. We check the problems and solutions of this type of start-ups. We propose three factors for success; prior checking of profitability of the business, preparation of relevant school policies and profit sharing with school and professors participated.

• 벤처창업연구
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• 제15권1호
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• pp.59-70
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• 2020

본 연구는 초기 창업기업 성과에 영향을 미치는 요인으로 창업지원정책을 실증적으로 규명하고, 현재의 창업지원정책에 대한 효과성을 측정하여, 이를 토대로 향후 정책적 방향을 제시하기 위한 것이다. 이를 위해 창업지원정책이 초기 창업기업의 성과에 미치는 영향에 대해 분석하고, 창업기업의 특성으로 창업업종 및 창업성장단계에 따라 어떠한 차이점이 있는지 확인하였다. 연구대상은 초기창업패키지 사업에 선정된 최근 3년간 창업기업 297개의 실제 테이터를 수집하여, 변수 간 영향력은 다중회귀분석, 조절효과는 위계적 회귀분석을 실시하였다. 연구결과를 요약하면 다음과 같다. 첫째, 창업지원정책과 창업성과의 영향 관계 확인 결과, 매출은 창업자금, 창업멘토링, 창업인프라(공간) 모두 유의한 영향을 보였으며, 반면 창업교육은 매출증가에 유의한 영향을 미치지 못하였다. 고용은 창업멘토링만이 유의한 영향 관계임을 확인하였다. 둘째, 창업업종과 창업성장단계의 조절효과 확인 결과, 창업업종은 통계적으로 유의한 영향력을 미치지 못하였으나, 상호작용 효과는 창업교육에서 유의하게 나타났다. 구체적으로 업종별 매출 관계는 지식서비스는 창업교육이 매출향상에 도움을 주며, 제조는 창업멘토링과 창업인프라(공간) 지원 여부와 관계없이 모두 매출향상에 효과적인 것으로 나타났다. 창업성장단계별 매출 관계는 통계적으로 유의한 영향력을 확인하였다. 예비단계는 통계적으로 유의하지 않으며, 창업단계는 창업멘토링 지원, 성장단계는 창업자금 지원이 효과적인 것으로 확인되었다. 반면 고용은 창업성장단계에 따라 유의한 영향력을 미치지 못하였다. 본 연구는 초기 창업기업 대상 창업지원정책의 효과성을 분석하여, 창업기업 특성에 따른 차별적 정책지원의 필요성을 확인하고, 향후 정책적 방향에 대한 시사점을 제시하였다.

• 벤처창업연구
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• 제16권6호
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• pp.57-68
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• 2021

본 연구는 수도권과 비수도권 혁신형 창업기업을 대상으로 입지 만족도가 기업 이전 의도에 미치는 영향을 분석하였다. 본 연구는 창업 7년 미만 창업기업 231개사를 대상으로 한 설문조사 자료를 활용하였으며, 기업의 경영 측면, 협력 및 네트워크 요인 획득 측면, 창업 환경 측면으로 만족도를 구분하여 기업 이전 의도에 미치는 영향을 실증 분석하였다. 연구 결과를 요약하면, 첫째, 수도권에 있는 혁신형 창업기업의 경우 소비자에게 제품과 서비스를 신속하게 제공하는 것과 관련된 입지 만족도와 우수 인력 획득 용이와 관련된 입지의 만족도가 증가할수록 기업 이전 의도가 줄어드는 것으로 나타났다. 둘째, 비수도권에 있는 혁신형 창업기업의 경우 벤처캐피털 등 민간과의 네트워크 구축과 관련된 입지 만족도와 편리한 교통, 자유롭고 창의적인 창업 환경 분위기와 관련된 입지의 만족도가 증가할수록 기업 이전 의도가 줄어드는 것으로 나타났다. 또한, 비수도권 창업기업의 매출액 증가할수록 이전 의도가 줄어드는 반면 업력이 증가할수록 기업 이전 의도가 증가하는 것으로 나타났다. 본 연구는 그동안 다루지 않았던 혁신형 창업기업의 입지 만족도와 기업의 이전 의도와의 관계를 살펴보았으며, 수도권과 비수도권 간 차이를 밝혔다는 점에서 학문적 기여가 있다. 또한 창업기업의 성공적인 집적을 위해 정부가 고려해야 할 요소를 제시하였다는 데 정책적 함의가 있다.

• 유통과학연구
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• 제14권2호
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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.

• Asian Journal of Innovation and Policy
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• 제8권3호
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• pp.396-416
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• 2019

The key conditions for the promotion of innovative technology-based start-ups are expanding the market for innovative technology products and services, increasing equity-based funding opportunities, promoting the commercialization of technological innovation, and establishing a fair-trade system for start-ups to compete fairly in the market. Besides, there is a need for a support system that minimizes the cost of failure in case of business failure to facilitate re-challenge and provides education and training opportunities to enhance entrepreneurial capabilities. To activate technology-based start-ups, the Korean government introduced the TIPS policy in 2013. It is a program that creates technology start-up with private investment led by successful venture entrepreneurs, which has shown remarkable achievement and is regarded as the most successful policy in this field up to now. The most critical factor contributed to the success of this program is to invite private investors to select a technology entrepreneurship team and provide mentoring with the investment. The government provides R&D funding with matching investment, commercialization and marketing support to ensure that technology start-ups survive crossing the death-valley. Subsequent investments from domestic and abroad investors are actively made and it is becoming a representative technology-based start-up program in Korea.

• Journal of Information Technology Applications and Management
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• 제22권4호
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• pp.1-37
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• 2015

Micro small business start-ups are receiving financial and marketing support from government or public authority, but business closure rate is very high and it causes a hugh burden to households and national economy. This study aims to verify the causal relationship between the self-determination characteristic of small business start-ups and entrepreneurial intention through learning orientation and innovation ability. The man's intrinsic motivation of self-determination theory is expected to have an impact on the entrepreneurial intention of small business start-ups. The self-determination theory includes perceived autonomy, perceived competence, perceived relationship as independent variables. This study presented a research model for explaining the entrepreneurial intention of small business start-ups, and collected 260 survey responses from the small business start-ups In order to validate the proposed research model, PLS analysis is performed with valid 246 questionnaires. By PLS technique, the measurement reliability and validity of research variables are tested and the path analysis is conducted to do the hypothesis test. Path analysis shows that perceived autonomy does not significantly affect the learning orientation and innovation ability. On the other hand, perceived competence significantly influences learning orientation and innovation ability. Perceived relationships had significant influence on learning orientation. It is found that the parameters of learning orientation and innovation ability significantly influence the dependent variable of entrepreneurial intention. Based on the results, a policy and strategy for supporting small business start-up are presented.

• 대한산업공학회지
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• 제40권5호
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• pp.462-476
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• 2014

The Korean government has been implementing diverse policies with programs to generate better outcomes and results of university-industry collaboration since 1990s. In this paper, we analyze the effect of universities' competency factors on the performance of technology commercialization and start-ups respectively. We employ multiple regression models using 154 data sets from university information posting system of the Korean Council for University Education. Through conducting statistical analyses with diverse data manipulations, we obtained a high degree of significance on hypotheses, and also could compare mutual differences between the effects of university competence on technology commercialization and start-ups. The technology transfer and commercialization specifically depends on professors' patent applications and technology holding company, while start-ups does professionals in industry-university cooperation. We suggest government to spur on the ongoing customization of university-industry collaboration policy, and university to properly cope with global atmosphere changing from ivory tower to academic capitalism and start-ups promotion.

• Asian Journal of Innovation and Policy
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• 제10권1호
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• pp.90-107
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• 2021

This paper analyses how technological capabilities and entrepreneurship of technology-based start-ups affect their performance. In this paper, a multiple regression analysis was conducted on 248 technology-based start-ups. The effects of indicators of technological capacity like R&D intensity, R&D organization, technology competitiveness, patents, and certification were analyzed. Factors affecting sales were R&D intensity and technological competitiveness. Technology competitiveness and patents were the significant factors influencing product competitiveness. The factor that positively influenced organizational performance, customer performance, and achievement of start-up goals was technological competitiveness. The results of such an analysis should be designed to discover and foster long-term innovation potential, rather than relying on short-term financial performance.

• 벤처창업연구
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• 제13권4호
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• pp.13-22
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• 2018

본 연구에서는 중앙정부의 창업지원사업에서 활용되고 있는 선정평가지표의 창업기업 선정여부에 대한 정확도를 검증하여 창업기업 선정평가지표의 유의성을 확인하였다. 이를 위해, 초기 창업기업을 집중 발굴 육성하는 창업선도대학육성사업에 지난 3년간 지원한 창업기업 973개의 평가점수와 선정여부 결과를 수집하여, 로지스틱회귀분석을 실시하였다. 연구결과를 요약하면 다음과 같다. 첫째, 선정여부에 있어 창업기업 특성변인에 따른 차이가 확인되었다. 둘째, 선정평가항목에 의한 선정여부의 영향은 2015년 성별(남), 창업자의 보유역량, 2016년 창업여부(기창업), 글로벌 진출 실적 및 잠재력, 2017년 창업여부(기창업) 항목만이 통계적으로 유의한 영향을 미쳤다. 셋째, 최근 3년간 전체 선정의 유의성 분석결과, 매년 정확도가 낮아짐을 확인하였으며, 비 선정보다 선정에 대한 정확도가 더욱 낮음을 확인하였다. 이는 창업지원사업 선정여부 판별에 있어 활용되고 있는 선정평가지표의 유의성 검증 및 부적합한 구성항목을 확인하고 매년 창업환경변화에 따른 지표의 변경은 선정의 정확도를 더욱 낮게 하는 요인임을 확인할 수 있었다. 본 연구는 창업지원정책의 효율성 제고를 위해 우수 창업기업 선별기능에 대한 선정평가지표의 중요성을 재인식하고 환기시키는 계기를 마련하였다는 점에 의의가 있다.