• 한국벤처창업학회:학술대회논문집
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• 2022.04a
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• pp.83-88
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• 2022

현재 4차산업혁명시대에 창의적인 아이디어와 적극적인 도전정신으로 무장한 스타트업이 글로벌 산업을 주도하고 있다. 정부에서도 지역별 스타트업 생태계 활성화를 위해 전국 17개의 창조경제혁신센터 운영을 지원하며, 각 센터별로 '개방성, 자율성, 다양성'의 운영 원칙 하에 지역별 스타트업 창업 생태계 허브, 공공 액셀러레이터, 그리고 오픈 이노베이션 플랫폼 역할을 담당하고 있다. 최근 수도권 스타트업 생태계는 활성화되고 있는데 비해, 지역의 스타트업 생태계는 인력, 자금 등 스타트업 성장에 핵심적인 요소 확보에 큰 어려움을 겪고 있다. 특히, 부산은 일자리를 찾아 수도권으로 떠나는 등 청년층의 이탈로 고령화가 가장 빠른 도시로서, 지역 일자리 문제를 해결하는 주요 방법 중의 하나로 스타트업 생태계 활성화가 중요한데, 스타트업 지원기업 중에서도 초기 스타트업 창업 및 성장 지원 업무에 집중하는 부산창조경제혁신센터의 역할이 매우 중요하다. 본 연구에서는 부산창조경제혁신센터의 운영 개선 방향을 내부 직원 설문조사로 도출하고, 타겟 고객을 창업가/초기 스타트업(Creator), 교육기관(Campus), 대기업(Company), 그리고 커뮤니티(Community)의 4C로 정의하였다. 부산창조경제혁신센터의 일관된 방향성 정립을 위해 미션과 비전을 각각 정의했으며, 그것을 달성하기 위한 전략 및 실행 방안을 도출하였다. 마지막으로 센터와 직원들이 공동 성장할 수 있는 센터 업무 협력 체계와 역량 강화 교육 체계를 제시한다.

• 한국벤처창업학회:학술대회논문집
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• 2023.11a
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• pp.97-100
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• 2023

스타트업은 우리 경제의 성장 동력으로 자리매김하고 있으며, 다양한 분야에서 스타트업이 탄생해 일부는 스케일업(scale-up)하여 유니콘 기업으로 발전하는 반면 일부는 데스밸리(Death Valley)를 넘지 못하고 실패한다. 스타트업이 창업 이후 성공적인 사업화를 통해 지속적인 성장을 이룰 수 있도록 공공과 민간부문에서 다양한 노력을 펼쳐 나가고 있으며, 창업자 보육에 필요한 서비스를 종합적으로 제공하는 액셀러레이터가 스타트업 육성 모델로 주목받고 있다. 액셀러레이터에 대한 관심이 증가하는 것에 비례하여 액셀러레이팅 프로그램의 효과에 대한 연구도 최근 활발하게 이루어지고 있으며, 많은 연구에서 액셀러레이팅이 기업성과에 미치는 긍정적인 효과가 검증되고 있다. 액셀러레이팅 프로그램의 운용 주체와 내용이 다양하여 프로그램 효과 분석도 다각적인 시각에서 이루어질 필요가 있으며, 본 연구에서는 동일한 프로그램에 참여하였음에도 불구하고 기업성과에 차이가 발생하는 것이 참여자의 특성에 기인하는지를 분석하고자 한다. 이를 위해 액셀러레이팅 프로그램에 참여하는 스타트업 CEO의 특성에 초점을 맞춘 연구모형을 설정하였다. 액셀러레이팅 프로그램에 대한 만족도를 독립변수로, 기업성과인 재무적성과와 비재무적성과를 종속변수로 설정하고, 자기효능감, 낙관주의, 희망, 회복탄력성인 긍정심리자본을 매개변수로 설정하여 CEO의 긍정심리자본 정도에 따라 액셀러레이팅 프로그램의 효과에 차이가 있는지 실증적 분석을 통해 검증하고자 한다. 연구 대상은 중소기업 지원 정책금융기관인 신용보증기금과 중소기업은행의 액셀러레이팅 프로그램인 스타트업 네스트(Start-up NEST)와 IBK창공에 참여한 경험이 있는 스타트업 CEO를 대상으로 하였다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.17-29
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• 2020

In recent years, universities, with their intellectual properties and human resources, become main drivers for technology transfer. Universities in Korea have various organizations to support the technology transfer and commercialization. Among them, a technology holding company plays the critical role to successfully implement the task. Nonetheless, the performance of the technology holding company is well below the expectation of industry, government and universities themselves. The lack of expertises and experience together with the ill-suited government policies could be attributable to the observed under performance. More recently, however, the technology holding company acts as an accelerator or venture capital to search and fund promising start-ups. The university venture capital thus transforms a traditional university into an entrepreneurial university. Focusing on the role of the technology holding company as an accelerator or venture capital, the paper analyzes the characteristics of the university venture capital and the invested start-ups. The performance of the university venture capital is measured and the determinants of the performance are empirically tested. The results show that the co-investment of outside investors and the support of government program, known as Tech Incubator Program for Startup Korea, yields the highest performance. The result indicates that the coordination of the university venture capital, industry and government is the key to the success of early start-ups. The paper is the first to analyze the performance of the university venture capitals in Korea and thus contributes to the literature.

• Journal of Venture Innovation
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• v.6 no.3
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• pp.1-20
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• 2023

This study conducted an empirical analysis of whether the accelerator incubation program (mentoring, seed investment) and entrepreneur self-efficacy affect competitive advantage performance for start-up representatives who have experienced the accelerator incubation program. At this time, the mediating effect of innovation capability was also examined. As for sample collection, 334 samples collected from representatives of start-ups nurtured by national accelerators and regional centers for creative economy and innovation in Korea were tested using the Smart PLS 4.0 program, and the analysis results are as follows. First, mentoring has no significant effect on competitive advantage performance, whereas seed investment and entrepreneur self-efficacy have a positive (+) effect on competitive advantage performance. Second, mentoring, seed investment, and entrepreneurial self-efficacy have a positive (+) effect on innovation capability. Third, innovation capability has a positive (+) effect on competitive advantage performance. And fourth, it was confirmed that innovation competency has a positive (+) effect between mentoring, seed investment, entrepreneurship self-efficacy and competitive advantage, and has a mediating effect. As a result, while mentoring did not have a direct significant effect on competitive advantage performance, it was confirmed that there was a significant effect mediated by innovation capability. Seed investment, entrepreneur self-efficacy, and innovation capability directly helped competitive advantage performance, and it was confirmed that innovation capability has an effect on the competitive advantage performance as a mediating effect. It is expected that this study will be able to suggest a direction that can help start-ups improve their competitive advantage performance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.141-156
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• 2023

The advancement of Information and Communication Technology (ICT), along with the expansion of government and private investment in startup discovery and funding, has led to the emergence of startups seeking to generate outstanding results based on innovative ideas. As successful startups serve as role models, the number of aspiring entrepreneurs preparing to launch their own startups continues to increase. However, unlike entrepreneurs who challenge themselves with serial entrepreneurship after experiencing success, early-stage startups face various challenges such as team building, technology development, and fundraising. Accelerators play a dual role of mentor and investor by providing education, mentoring, consulting, network connection, and initial investment activities to help startups overcome various challenges they face and facilitate their growth. This study investigated whether there is a correlation between the characteristics of startups and their entrepreneurial performance, and analyzed whether accelerators mediate the relationship between startup characteristics and entrepreneurial performance. A total of 11 hypotheses were proposed, and a survey was conducted on 302 startup founders and employees located across the country, including the metropolitan area, for empirical research. SPSS 23.0 and Amos 23.0 were used for statistical analysis. Through this study, it was found that factors such as innovation, organizational culture, financial characteristics, and learning orientation among the characteristics of startups, rather than having a direct impact on entrepreneurial performance, are linked to entrepreneurial performance through the role of accelerators. By analyzing the impact factors of startup characteristics on entrepreneurial performance, this study presents research on the role of accelerators and provides institutional improvements. It is expected to contribute to the expansion of investment and differentiated acceleration programs, enabling startups to seize the market and grow stably in the market.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.81-97
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• 2022

This paper's purpose is to get hold of the recent research trend by analyzing the variables uesd in startups related papers. The startups related papers in this paper are the papers which include 'startups' in the title of the registered papers from the year 2013 to the year 2020. This study's analysis methods are text-mining of all variables and text-network analysis of affected variables. Visualizing tool for network analysis is Gephi. The result of variables' analysis is as follows. First, independent variables consist mainly of variables about startups' internal factors and outside environment, but due to startups' features like early stage company's features, innovative features, most of variables are about enterprise internal competitiveness, marketing 4P strategy, entrepreneurship, coopreation method, transformational leadership, enterprise features, lean startup strategy, enterprise internal communication, value orientation, task conflict, relationship conflict, knowledge sharing, etc. Second, dependent variables are mainly about outcome, and are classified into financial performance and non-financial performance by overall concept. In other words, startups related papers have higher interest in non-financial performance, like management performance, team performance, SCM performance as well as financial performance like sales quantity owing to startups' immaturity in getting good financial performance. Through this study we can find out as follows. Although there are not many officially registered papers dealing with startups, those papers include various themes about stratups. For example, there are trendy themes like lean startups strategy, crowdfunding, influencer and accelerator, etc.

• International Area Studies Review
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• v.22 no.4
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• pp.167-186
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• 2018

In this paper try to derive some implications through comparative studies of accelerator in Korea and US centering on accelerator process model. In addition, the concept of accelerator is defined comprehensively through the existing literature study, and the accelerator program is focused on the accelerator process model. In the study, three Korea and America accelerators were selected and analyzed as follows. First, we discussed the definition of the accelerator, the configuration program, and the differences with existing organizations. Second, after selecting three representative companies among Korean and American accelerators, history, programs, achievements, characteristics, and limitations were derived. Third, based on the existing literature research, we compared the differences in appearance and performance between the six Korean and US accelerator companies using the table. Finally, the limitations and implications of domestic accelerators are described.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.65-80
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• 2022

Despite the uncertainty and risky factors of startups, the special and critical role of accelerators in carrying out professional nurturing and investment for them is becoming increasingly significant in the startup social-system. However, academic research on investment determinants that have a profound impact on the survival of accelerators is lacking, and there are only a few empirical studies on the classification and importance of factors, and they do not enjoy the benefits of theoretical studies. This study proposes a business model innovation framework based on the business model innovation theory that reflects the nature and properties of startups that are investment targets of accelerators and derives 12 investment decision factors. The framework defines that the target, direction, and performable force of startup innovation are a business model, strategy, and dynamic capability. Besides, the framework analyzes the investment decision factors of the existing accelerators based on the business model innovation framework to verify the suitability and sufficiency of the composition. As a result of the analysis, first, most of the items were faithfully composed from a static point of view of business model innovation, but it was found that the factors related to the core activities to evaluate the activity and customer relationship were insufficient. Second, from the strategic point of view, the necessity of developing factors that can encompass the definition and content of core resources, which are internal strategic factors, was raised. Third, from the dynamic point of view, it was found that many of the investment determinants of accelerators were concentrated on the lower level of dynamic competencies. This can be judged as a result of reflecting the characteristics of a startup that needs to develop a solution with few resources and a small number of team members. In addition, the roles and interrelationships between each factor are not clear, thus it was found as a limiting point for startups to view and evaluate the direction and process in which startups dynamically innovate their business models. This study is considerably differentiated in that it provides a business model innovation framework and offers a theoretical basis for investment determinants by deriving the investment determinants of accelerators based on the framework and design the foundation for subsequent research. The business model innovation framework presented in this study has great implications in that it contributes to the achievement of startups, accelerators, and startup support organizations.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.1
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• pp.1-13
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• 2017

The purpose of this study is to find out which factors determine the success of start-up in the initial market and what are the most important determinants. For the empirical analysis, the questionnaire related to the analysis of success factors for start-up success was designed according to the quantitative analysis (AHP technique). First, we selected 8 representative success factors for successful start-up in the initial market. In order to determine the degree of priority among these factors, we surveyed 12 entrepreneurs who are interested in entrepreneurship, universities, research institutes, and public officials. As a result of the empirical analysis, 51% of the funds in the tier 1 were ranked as the top priority to determine success factors. Followed by research and development (32.5%), management (8.7%) and marketing (7.8%). In particular, when each of the four items is calculated as 100 according to the result of the tier 1, and the tier 2 is converted, the foreign investment is analyzed as 43.7%. It was followed by 15.14% of R & D facilities, 14.07% of ideas, 8.7% of managerial ability, 7.29% of domestic investment, 5.85% of buyer feedback, 3.3% of development strategy and 1.95% of marketing strategy. Among the eight success factors, overseas investment items showed the closest preference to half, and it was the most important variable that determines the success or failure of market entry. The implication of this study is that many start-ups in Korea expect to receive investment and support from overseas accelerators. This means that overseas investment itself has been recognized as a start-up that makes services and products that can be used in the global market. A high preference for attracting foreign investment is due to the fact that the amount of investment is larger than that of Korea and that it can flexibly cope with the pressure on the performance compared to domestic investors. In this study, it was meaningful that we could confirm this fact through questionnaires of start-up experts. In future research, we need to find a viable alternative through studying how to provide start-up to foreign direct investment at the national level.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.31-47
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• 2022

The TIPS, a representative public-private cooperative project to revitalize the start-up ecosystem, is a government supported policy that promotes successful commercialization through various start-up support for technology-based startups. The purpose of this study is to analyze the investment decision factors of the TIPS program and to derive priorities. In order to achieve the research purpose, first, the investment decision factors were derived through literature analysis, a Delphi surveys were conducted on investors and experts participating in the evaluation of the TIPS program, and an AHP analysis was conducted on 20 VCs to empirically analyze the priority of factors on investment decisions. As a result of the analysis, the importance of critical factors was confirmed in the order of entrepreneurs(team) > market > product/service > finance > network. The importance of detailed factors was found in the order of entrepreneur's reliability and authenticity > market growth and scalability > team members' expertise and capabilities > adequacy of current market size > new market creation. This study presented the capabilities of technology-based startups preparing to participate in the TIPS program by deriving factors that influence investment decisions from an investor's perspective and comparing and analyzing the importance. It is also meaningful that basic data on determinants of private-led investment decision-making were presented to stake-holders such as venture capital, accelerator, and start-up support institutions.