• 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.10 no.2
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• pp.43-57
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• 2015

All countries of the world are promoting the creative economy policy to overcome the global economic crisis. Korean government enforces the creative economy policy for the economic growth and job creation. Especially, Technology based startup is actively supported to realize the creative economy. To maximize the efficiency of supporting start-ups, we have to analyze a perception gap of the startup success factors between technology based entrepreneur and startup facilitator. Through the analysis, the supporting policy of startup utilized efficiently the limited resources is necessary. So, the purpose of this study is analysis the difference of the startup success factors which technology based entrepreneur and startup facilitator recognize. To analysis, the start-up success factors derived from previous studies were categorized them as 1) characteristics of the founder, 2) start-up strategy, 3) characteristics of the organization, and 4) start-up environment. Also, The CEO of technology based start-ups and the researcher in national research institute to support SMEs were surveyed. Then, Survey was analyzed by utilizing the ANP methodology to priority derivation of start-up success factors. Result of analysis, Technology Based Entrepreneur was determined that 'composition and expertise of organization' is most important factor for success of startup. On the other hand, Startup facilitator was determined that 'financing strategy of organization' is most important factor for success of startup. Both groups are recognized as important strategy. And start-up environment is recognized as a relatively unimportant. On the other hand, the importance which two groups evaluate about characteristics of entrepreneur and characteristics of organization was different. This study has a academic significance to analyze the priority of the startup success factors between technology based entrepreneur and startup facilitator. Also, It can be utilized practical guideline when policy making about technology based startup.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.11-20
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• 2018

This research investigates comparisons and characteristics of government's startup polices between startup for micro-enterprise and technology based startup. In particular, revitalization plans of "New Business Start-up Academy (NBSA)" which is supported by a governmental organization, are proposed. Currently, korean government's startup polices are focusing on more technology based startup than startup for micro-enterprise. In order to overcome this issue, this research examines the current issues of the startup policies for micro-enterprise and the detailed plans for revitalizing micro-enterprises' startups. As detailed research studies, the current program and supporting mechanism of NBSA are analyzed. Then, these are compared with several startup policies of Korea government and the detailed action plans are proposed. The proposed results contributes to the criteria and the references for vitalizing micro-enterprises' startups.

• 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.

• 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.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.4
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• pp.187-199
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• 2018

This study examined the effects of startup firm's knowledge assets on the effectiveness of their sales strategies, efficiency of sales activities, and management performance, after categorizing these assets into customer knowledge assets and technology knowledge assets. Furthermore, the moderating effects of promotion focus by CEOs and sales managers of startup firms were analyzed. For the analysis, dyadic questionnaire surveys were conducted targeting the CEOs and sales managers of startup firms established at the Gyeongnam Technopark and the KAIST Technology Business Incubation Center in Korea. Hypotheses were verified through structural equation modeling, and moderating effects were identified through ANOVA. CEO's customer knowledge asset strengthened their effectiveness of sales strategies, and sales manager's technology knowledge asset strengthened the efficiency of their sales activities. Also, CEO's effectiveness of sales strategies and sales manager's efficiency of sales activities have been found to enhance startup firm's management performance. Meanwhile, the moderating effect of promotion focus strengthened CEO's effectiveness of sales strategies through CEO's customer knowledge asset and interaction as CEO's promotion focus level increased, but promotion focus of sales managers did not have any significant interaction effect. This study provides implications by offering empirical evidence on startup firms with regard to knowledge assets.

• Asian Journal of Innovation and Policy
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• v.5 no.2
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• pp.129-145
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• 2016

This is a case study to analyze the role of technology licensing or transfer office (TLO) as factors of success for the spin-off from government research lab. The case company is a research lab startup, which is a joint venture through technology investment by a government research lab or university in the designated R&D parks and cash investment by the partner company. The case company listed on the stock market in 2015 reaching a market capitalization of US$ 1.2 billion. We confirm the success factors of startups pointed out in many studies: original technology, good understanding of core technology and production technology, technological competitiveness in the market. However, there is an important factor not well discussed in the previous studies, the role of TLO. TLO guided the company ownership, management, technology, and solved problems that pause business itself. The case became the sample of research lab startup and technology investment in Korea.

• Journal of Information Technology Applications and Management
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• v.28 no.3
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• pp.1-21
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• 2021

Recently, the importance of entrepreneurship based on innovative ideas is being emphasized. Most startup companies misunderstand that a good solution is a good idea, so they try to start a business by choosing an idea that prioritizes solutions, products, and technology rather than problem-first. However, to be a successful startup, it is essential to focus on the quality of the problems your customers are trying to solve. The online community is a place where many people exchange their thoughts and communicate with each other through a network, and communities about consumption, a concern of modern people, are developing. Against this background, this study proposed an integrated methodology that combines big data and netnography analysis so that entrepreneurs can use online community data to derive customer-centered startup ideas. The integrated methodology was verified based on the actual start-up case, who derived a startup idea based on the data of domestic cloth diapers online cafe. The case company found customer problems based on online community data and used it to develop startup items and new products. The integrated methodology for deriving entrepreneurial ideas in this study is expected to be an important guideline that explains in detail the consumer-centered idea derivation process.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.3
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• pp.99-109
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• 2015

The investment in healthcare industry has recently increased not only for global ventures but also for the domestic ventures. However, there has been hardship of founding and investment caused by healthcare startups characteristics that are costly and time consuming. In this study, the applicability of 'Lean Startup' theory to healthcare ventures was explored through the case of a domestic startup which accomplished funding from VC and KOSDAQ after establishing based on its technology in healthcare industry. There have been numerous case studies that applied 'Lean Startup' to IT industry. However, this case study that applied 'Lean Startup' to healthcare industry have some implications as follow: First, it is critical to conduct a hypothesis testing at initial research stage through R&D of 'MVP' (Minimum Viable Product) as the prototype testing is strictly prohibited in healthcare industry. Second, healthcare R&D teams ought to be well organized as startup teams and all researchers should be equipped with entrepreneurship as the licensing process in healthcare industry is time-consuming and costly due to issues like clinical studies. Lastly, management skills as smart and light as 'Lean Startup' are required in order to encourage young engineers' technology startups.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.642-663
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• 2017

The purpose of this study is to investigate the factors that affect professor startups and their performances in Universities in Korea. We included 5 categories of factors: University's size and reputation, University's technology commercialization staff number and startup deregulation, University's resources for research and technology commercialization, University's patents and professors' publication, and student startups. We analyzed 150 Universities, using Korean government's Academyinfo database, and additional data for University ranking and government's projects for University startups. Our analysis shows that Universities' fund amount for research and technology commercialization, Universities' amount of patents give a positive impact on Universities statistically significantly, while Universities' size or reputation does not. In addition, the amount of patents and startup projects funded by the government give a significantly positive impact on the annual sales of the professor startups. Furthermore, student startups are in a positive relationship with professor startups and their sales, showing a synergy effect between the two startup groups in Universities. The result implies that Universities and government need to focus on supporting patenting activities, providing technology commercialization funds, and collaboration activities between professors and students for their startup activities.