• Asian Journal of Innovation and Policy
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• v.13 no.1
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• pp.87-112
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• 2024

This is a case study on a university's support for entrepreneurs preparing startups. Previous studies have focused on startups within universities, but this study differs in its focus on support for external entrepreneurs. First, university startup support worked in the form of open innovation for those preparing to start a business. In other words, performance varied depending on the degree to which entrepreneurs accepted the support. Second, this study showed that, unlike previous studies, the process of preparing to start a business is nonlinear. Third, startups are largely divided into small and mediumsized businesses and innovative businesses, and a new hybrid business type was identified through university support. This study shows that university support for startups is not limited to the In-Out model, which uses university knowledge and technology, but an Out-In model is also possible. Additionally, startup support can be added as one of the entrepreneurial university's activities.

• Journal of Distribution Science
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• v.12 no.6
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• pp.81-88
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• 2014

Purpose - Entrepreneurship promotion is emerging as an important economic growth agenda. However, in Korea, entrepreneurship has weakened because of the collapse of the venture bubbles of the 2000s and the global economic recession in 2008, which have induced the business community to choose stability over risk. The Korean government has been implementing several support projects to inspire and promote youth entrepreneurship through various means including financial assistance; however, the perpetuation rate of young entrepreneurship is still low as compared to advanced economies such as the US and EU. This case study focuses on the Youth Start-Up Business Support Program of the Small & Medium Business Corporation, and explores practical alternatives. Further, it aims to suggest managerial factors and a conceptual model for change management factors affecting the business performance creation of a startup company, based on the Small and medium Business Corporation's young venture startup fund. Research design, data, and methodology - Many studies examine the current progress and issues of startup firms, for example, a lack of systematic cultivation of entrepreneurship and startup business training, lack of commercialization funding for youth startup businesses, lack of mentoring, and inadequate infrastructure. From prior research, we address four factors, namely, personal managerial capabilities, innovative business model, sufficient cash flow, and social network, affecting startup companies' business performance. This study involved a sample survey of 200 young entrepreneurs to investigate casual relations between the four factors and business performance. A regression analysis was used to verify the hypotheses. Results - First, in relation to differences in the founder's personal characteristics, age, sales amount, and number of employees significantly impact business performance. Second, regarding the causal relation between the four factors for creating business performance, an innovative business model and social networking have supported the hypotheses, revealing that the more that a start-up founder has an innovative business model and social networking, the more the start-up firms are likely to have better performance (e.g., sales volume, employment, ROE, ROI, etc.). Although the founder's competency and sufficient cash flow have no significant relationship with business performance, the mean value was higher performance for high founder's competency and sufficient cash flow. Conclusions - This study provides basic data on policy support strategies of the Small and Medium Business Corporation, to help young entrepreneurs achieve their start-up business goals. It shows that young entrepreneurship startup firms should strive to explore ideas to satisfy customers' needs, and that changes in customer value and the continuous innovation of business model differentiation are required to actively respond to change management. Moreover, at the infant startup stage, they should activate social network programs to share information, thereby offsetting resource scarcity and managing business risk. Further, the establishment of a long-term vision and the implementation of training programs in related specific fields should be supported to strengthen founders' personal capabilities.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.167-179
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• 2024

This study addresses the challenge of objectively evaluating the performance of early-stage startups amidst limited information and uncertainty. Focusing on companies selected by TIPS, a leading private sector-driven startup support policy in Korea, the research develops a new indicator to assess technological efficiency. By analyzing various input and output variables collected from Crunchbase and KIND (Korea Investor's Network for Disclosure System) databases, including technology use metrics, patents, and Crunchbase rankings, the study derives technological efficiency for TIPS-selected startups. A prediction model is then developed utilizing machine learning techniques such as Random Forest and boosting (XGBoost) to classify startups into efficiency percentiles (10th, 30th, and 50th). The results indicate that prediction accuracy improves with higher percentiles based on the technical efficiency index, providing valuable insights for evaluating and predicting startup performance in early markets characterized by information scarcity and uncertainty. Future research directions should focus on assessing growth potential and sustainability using the developed classification and prediction models, aiding investors in making data-driven investment decisions and contributing to the development of the early startup ecosystem.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.120-128
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• 2017

More people travel oversea as the economic size of Korea is getting larger and more new jobs are requested to be created by the society. To respond to these trend and request, Incheon International Airport Corporation (IIAC) is about to expand its processing capability with a new terminal; 54 million passengers to 72 million. IIAC is also introducing new strategies such as open innovation (OI) and creating shared value (CSV). With these changes, IIAC faces new challenges of restructuring its business and organization with new ideas. Most organizations including IIAC are becoming more dependent on external resources to keep their competitive advantages under the turbulence of global business environmental changes. Therefore, they focus on the OI paradigm which is reported as a convincing strategy to improve competitiveness in terms of budget and time-to-market. OI is to quickly react to the rapidly changing business environment and is adopted to support startup incubation. In the previous research with IIAC, three major tasks were defined; utilizing the IIAC brand power for external vendors, building a technology road-map, and introducing a collaboration support system. This paper deals with the collaboration system as proposed in the previous research. We focused on the collaboration process for startup incubation. Cases were studied; the K-startup model by the government, a university model to explore youth startups, and a R&D institute model to study professional startups. Based on the case studies, we defined an IIAC model and proposed issues to take care of. The model is distinguished from the other studied models since IIAC is a prospective customer of new technology.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.635-646
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• 2018

This paper aims to examine structural relationship between startup programs aided by university what reflected in GEM(Global Entrepreneurship Monitor) model and was establishing entrepreneurial intention of current university students. Total of 364 suitable sample data were used to empirical analysis hypotheses. The results of the hypothesis test through analysis of the structural model are summarized as follows. First, among the factors of universities' startup support programs, entrepreneurial education, entrepreneurial consulting, R&D transfer, and entrepreneurial culture has a positive effect on recognition of entrepreneurial opportunities. Second, entrepreneurial education and entrepreneurial consulting has a positive influence on entrepreneurship. Third, the parameters of entrepreneurial opportunities and entrepreneurship positively influences on entrepreneurial intention. Therefore, University should support entrepreneurial education, R&D transfer, entrepreneurial consulting and makes entrepreneurial culture intensely for vitalizing university students entrepreneurial intention.

• 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.

• Asia pacific journal of information systems
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• v.23 no.1
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• pp.1-19
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• 2013

The market for commercial open source software (OSS) has been rapidly growing with the proliferation of OSS. One way to commercialize OSS is the support model, which has been adopted by leading OSS firms such as Red Hat and JBoss. Despite the growing interest in OSS commercialization, little research has provided OSS support providers with a pricing guideline. In this paper, we examine the optimal pricing strategies for OSS support providers. Our benchmark is a monopoly case in which we investigate a startup software vendor's incentive to choose the OSS support regime over the proprietary one. Then we extend the model to a duopoly case in which OSS under the support regime competes against proprietary software. We characterize the conditions under which the OSS support model is viable under competition. We believe that our results offer insights to the OSS vendors who consider commercializing their OSS with a support model.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.127-135
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• 2020

The purpose of this paper is to classify individual startups by growth stage based on data-based quantitative criteria. This is to provide a basis for systematic support for government startups based on accurate statistics on the startup growth process. This startups were the TIPS (Tech Incubator Program for Startup) support company, which used a relatively reliable startup. We found seed money to complete MVP (Minimum Viable Product) within 1.5 years after establishment, verified PMF (Product-Market Fit) within 1 year, attracted Series A investment within 2.5 years after establishment, and successfully commercialized it. It attracted Series B investment for stable growth within 1.5 years (Series B investment within 4 years from start-up). The results of the study, the division of government programs that support stage-based startup commercialization, that is, within three years and within seven years of establishment, is significant to date. Three directions are suggested for future research. First, develop indicators for monitoring startup growth stages. Second, it continuously updates the annual changes and tracks the growth stages of individual startups. Third, we discover the successful growth law of technology-based startups by applying in-depth case analysis of successful startups to the model.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.97-108
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• 2020

This study analyzes factors of the influence of university start-up education and start-up support on the employment rate. For this purpose, we study prior research on university factors that affect the employment rate. we add university startup education & support to the university factors that are the type of university establishment and the university location, affecting the employment rate. The information of start-up education and start-up support is derived from the university disclosure information. In the start-up education, the number of participants in the start-up lecture, the number of participants in the start-up club, the number of participants in the start-up competition, the number of participants in the start-up camp and in the start-up support, the number of dedicated faculty members for start-up support, and the start-up training budget are added. The research model is empirically analyzed with 118 universities, excluding special purpose universities and universities with less than 1,000 graduates as a national 4-year university. Empirical analysis shows that the type of university establishment has a positive effect on the employment rate, and the university location has a positive effect on the employment rate. Among the factors of start-up education and start-up support, the number of participants in entrepreneurship courses is found to have a positive effect on the employment rate. In addition, although the number of participants in the start-up camp don't have a positive effect on the employment rate, it is found that the significance level p=0.070. Based on the results of this empirical analysis, academic and policy implications are presented.

• Journal of Information Technology Services
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• v.18 no.3
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• pp.129-141
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• 2019

Currently, there is a wave of second startup companies in Korea as well as within the global market, and the role of accelerators have become highly important at the center of changes. In the early 2000s, Y-Combinator has made Airbnb and Dropbox grow into a global company, and its start-up support model has begun to gain worldwide attention, and further became the beginning of the "accelerator" industry. The accelerator industry has been expanding rapidly throughout the United States, Britain and Israel, as well as China and Southeast Asia in recent years. As of the end of 2018, more than 130 accelerators have been operating in Korea, starting with Primer in 2010, and the scope of its activities has been expanding into specialty fields such as Pintech, bio industry, and Block chain, as well as Game. The purpose of this study is to study the role of the accelerator through the phenomenon of these accelerators and their step-by-step support services.