• Journal of Aerospace System Engineering
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• v.10 no.3
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• pp.32-38
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• 2016

This paper explains space-technology startup-business support programs. MSIP (Ministry of Science, ICT and Future Planning) and KARI (Korea Aerospace Research Institute) began running startup-business support programs from 2013 according to a "space-technology industrialization plan." In addition, MSIP and KARI have been running startup academies and STAR-Exploration for future entrepreneurs and startup companies since 2015. From these programs, five startup companies were established and they are generating sales. This paper shows the results of the programs, and the program cases of the startup and venture companies are analyzed for both domestic and international audiences. The future direction of startup-business support programs that are based on space technology is also discussed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.1
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• pp.75-91
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• 2024

Recently, global business environment is changing dramatically along with the acceleration of technological innovation amid the war, climatic change, and geopolitical instability. Accordingly, it is difficult to predict or plan for the future as the volatility, complexity, ambiguity, and uncertainty of the industrial ecosystem continue to increase. Therefore, organizations are undergoing inevitable restructuring in accordance with their survival strategy, for instance, removing marginal businesses or firing. Accordingly, office workers are seeking a startup as an alternative for their continuous economic activity amid rising anxiety factors that make them think they would lose their jobs unintentionally. Here, this study is aimed to verify through what paths office workers' self-determination influences the process of converting to a startup. For this study, an online survey was carried out, and 310 respondents' valid data were analyzed through SPSS and AMOS. To sum up the results, first, office workers' self-determination did not have significant effects on entrepreneurial intention. However, it was confirmed that self-determination had positive (+) effects on innovativeness and perception of the startup support system. This result shows that their psychology works to prepare step by step by accumulating innovative experiences and increasing perception of the startup support system from a long-term life path perspective rather than challenging startups right way. Second, innovativeness is found to have positive (+) effects on entrepreneurial intention. Also, perception of the startup support system had positive (+) effects on entrepreneurial intention. This implies that when considering startups, they are highly aware of the government's various startup support systems. Third, innovativeness is found to have positive (+) effects on perception of the startup support system. It is judged that perception of the startup support system is valid for prospective founders to exhibit their innovativeness and realize new ideas. Fourth, it was confirmed that innovativeness and perception of the startup support system mediated correlation between self-determination and entrepreneurial intention, and perception of the startup support system mediated correlation between innovativeness and entrepreneurial intention, which shows that it is a crucial factor in entrepreneurial intention. Although previous studies related to startups deal with students mostly, this study targets office workers who form a great part in economic activities, which makes it academically valuable in terms of being differentiated from others and extending the scope of research. Also, when we consider the fact that the motivation for self-determination alone fails to stimulate entrepreneurial intention and the complete mediation of innovativeness and the startup support system, it has great implications in practical aspects such as the government's human and material support systems. In the selection and analysis of samples, this study exhibits a limitation that the problem of common method bias is not completely resolved. Also, additional definitive research is needed on whether entrepreneurial intention is formed and converted into startup behavior. Academically and practically, this study deals with the relationship between humans' psychological motives and startups which has not been handled sufficiently in previous studies. The conversion of office workers to startups is expected to have effects on individuals' economic stability and the state's job creation; therefore, it needs to be investigated continuously for its great value.

• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.75-84
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• 2017

The prolonged economic slowdown has forced many youths to opt for starting a business instead of seeking employment. Universities have shown their interest in startup training by opening startup courses and encouraging relevant student communities, while at the same time helping their students land a job. Along with this, the government has been implementing various policies through creative economy and youth startup initiatives, but the resulting quantitative growth has not been supported by a commensurate level of qualitative growth and this has created problems on the supplier side, such as by producing redundant functions and roles in multiple projects and inefficient investment. This study, which aims at proposing a direction towards more active support and thus helping the government achieve qualitative accomplishments that can match its effort in terms of quantitative growth, analyzes the current status of startup support of universities in Korea by examining the data regarding training programs and projects, and highlights the issues stemming from startup organizations in colleges. It also suggests solutions for improving in-college startup training and establishing an interlinked system among the relevant bodies in and out of college, with the hope that the results and alternatives proposed in this study will be utilized as the basis for more active student startup support activities.

• 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.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.7
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• pp.209-218
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• 2014

An AP that is used by smart device is going to be complicated because smart devices support diverse functions. As a result, multiple low-level IPs including a dedicated CPU are integrated in a high-level subsystem for supporting complicated function such as multimedia codec and camera. A subsystem has software that executes separately from main system, and the software needs to be initialized for every execution of the subsystem. This causes increase of the subsystem startup time so it should be improved because startup time of subsystem affects launching time of application. Methods in applied to computer system for fast startup also could be applied to fast startup of subsystem because subsystem is similar with computer system. In this paper, we apply snapshot method that is used in computer system to subsystem and analyzes the pros and cons. And snapshot method could not be applied to register of IP without modification because register of IP offers restricted read and write. So this paper suggests technique that applying snapshot to each characteristic of register.

• 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.

• Korean small business review
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• v.43 no.1
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• pp.165-186
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• 2021

Startups are undergoing a change throughout the growth process of startups that appear in existing studies as they move away from the existing B2B or B2C frame and expand their target customer groups to O2O, C2C. In this regard, a new type of startup known as unicorns, a unicorn which has grown rapidly in a short period of time, is being created by successfully attracting government support and external investment in recognition of the potential value of the startup. This study examined the relationship between investment attraction and growth after founding for five representative unicorns in the U.S. and Korea. As a result, it was found that private investment in Korea is passive and defensive, and is attracted after the Series A stage, compared to the U.S., where the growth potential of the startup ecosystem is positively evaluated. In addition, it found that government's support policy throughout the startup's growth process is an abstract and comprehensive policy focusing on initial funding for startups. Therefore, it was suggested that the scope of government policies should be expanded to forster startups as unicorns, and that it is necessary to establish and implement differentiated support policies for each growth of the scale-up of startups. This study is significant in that it presented the criteria for the growth stage and support of startups as well as policy support for scale-up through practical case analysis of unicorns.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.5
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• pp.57-66
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• 2016

The study aims to examine the impact of Start-Up Business Incubator System on Performance of the Start-up Graduated from the Business Incubator. This has analyzed 813 startups which had supported by Seoul Metropolitan City in particular from 2009 to 2010. Empirical analysis has choosed business room for free, startup grant for operation, education & coaching support, consulting support by practitioner, promotion & new market opening support and collaboration support among startups in the business incubator as independent variables and also implemented startup success satisfaction degree as a depentent variable. The results shows that the degree of satisfaction on start-up activity support fund for entrepreneur and the degree of satisfaction on collaboration support among firms in the business incubator have statistical significant impact on start-up success satisfaction degree. The study has an implication that it provides a basic data on policy support strategies by central and local autonomous governments that facilitate entrepreneurs to achieve start-up business goals by understanding the factors that affect the business performance of entrepreneurs. In addition, the study offers new directions for entrepreneurs in a way that promotes the start-up performance by business room for free, education & coaching support, consulting support by practitioner, promotion & new market opening support which were investigated as statistical insignificant constructs, so that the author expects new studies about more effective business incubator system to enhance the performanc of start-up in business incubator.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.63-79
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• 2024

The startup ecosystem is experiencing a paradigm shift in founding due to the acceleration of digital transformation, online platform companies have grown significantly into unicorns, but the lack of differentiated approaches and strategic support for deep tech startups has led to the inactivity of the startup ecosystem. is lacking. Therefore, in this study, we proposed ways to develop domestic startup development policies, focusing on the US system, which is an advanced example overseas. Focusing on the definition and characteristics of deep tech startups, current investment status, success stories, support policies, etc., we comprehensively analyzed domestic and international literature and derived suggestions. In particular, he proposed specific ways to improve support policies for domestic deep tech startups and presented milestones for their development. Currently, the United States is significantly strengthening the role of the government in supporting deep tech startups. The US government provides direct financial support to deep tech startups, including detergent support and infrastructure support. It has also established policies to foster deep tech startups, established related institutions, and systematized support. It is worth noting that US universities play a core role in nurturing deep tech startups. Leading universities in the United States operate deep tech startup discovery and development programs, providing research and development infrastructure and technology. It also works with companies to provide co-investment and commercialization support for deep tech startups. As a result, the growth of domestic deep tech startups requires the cooperation of diverse entities such as the government, universities, companies, and private investors. The government should strengthen policy support, and universities and businesses should work together to support R&D and commercialization capabilities. Furthermore, private investors must stimulate investment in deep tech startups. Through such efforts, deep tech startups are expected to grow and Korea's innovation ecosystem will be revitalized.