• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.204-206
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• 2015

Nowadays, many small businesses have experienced the failure of business or hardship. In this point, specific and integrated information for startup business should be required to decrease the rate of failure and to increase the rate of success. This study is to suggest the integration and big data of various data which various public institutions have separately. For this purpose, it is to classify the data types in constructing big-data for start-up business and to suggest a model of analysis in information system for supporting startup businesses.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.4
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• pp.117-123
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• 2021

A startup airline is motivating its flight attendants to do voluntary and effective safety behavior as well as setting up safety culture in its organization at the same time in the early stage of revenue-flight service due to the lack of flight operation experience compared to competing airlines. Based on the sample of flight attendants from a startup airline, this paper tried to perform empirical analysis which focused on relationship among safety leadership, safety motivation and safety behavior. According to empirical analysis, it was proven psychological resources had a significantly positive effect on work engagement. Work engagement is proven to have a significantly positive effect on both flight attendants' safety motivation and their safety work. It was also implied that flight attendants couldn't understand a contradictory attitude of their leaders because leaders had them focus on safety work engagement while not providing enough human resource and capital. In addition, it was found leader's excessive emphasizing safety policy might not result in flight attendants' safety behavior.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.4
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• pp.231-241
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• 2024

Discovering innovative startups that use public technologies from universities and government-funded research institutes is crucial for maintaining national competitiveness. Advancing public R&D technology, discovering entrepreneurs from research institutes, and fostering and investing in deep-tech startups are very important at the national level. However, there is a lack of research on activating startups using public technologies, and research analyzing each governance entity is needed to activate the innovation startup ecosystem. Therefore, this study conducted an empirical analysis of the priorities for revitalizing the innovation startup ecosystem among researchers, research institutes, innovative startups, and the government, which constitute the public technology governance. The results of this study revealed that the sustainability of innovative startups (0.308), government innovation startup activation (0.298), research institutions discovering and fostering startups (0.221), and researcher's characteristics (0.173) were the most significant factors in the public R&D technology innovation startup ecosystem. And the sub-factors of researcher's characteristics, seizing business opportunities (0.305) was most important, and creating a startup-friendly culture (0.293) was most important among the sub-factors of research institutions discovering and fostering startups. Investment funds and procurement (0.373) was the most critical sub-factor for the sustainability of innovative startups, while a dedicated fund for public technology (0.305) was the most important among the sub-factors of government schemes for promoting innovative startups. A total of 20 factors were analyzed sequentially according to their importance in the weights for evaluation factors and sub-factors. By sub-factor, investment and financing for innovative startups (0.115), dedicated government fund for public technology (0.091), securing high-quality human resources for innovative startups (0.078), improving government regulations and permits related to innovative technologies (0.074), and creating a startup-friendly culture in research institutions (0.065) were the most important. This result emphasizes the significance of securing competitiveness to become a sustainable public technology startup. In addition, based on entrepreneurship experience, 'dedicated funding for public technology' was most important for the group with startup experience, while the group with no experience needed more 'investment and funding'. Furthermore, By region, 'improving government regulations and permits' was the highest priority in the Seoul metropolitan area, while 'attracting investment and financing' was the most important in Daejeon. Therefore, the results of this research, it is important to give policy priority to innovative startup companies in order to activate the innovation startup ecosystem in the public technology sector. The political and practical implications were derived that long-term (10 years or more) investment and funding for deep tech companies and the establishment of public technology-only funds are the most urgent and important.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.6
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• pp.27-42
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• 2020

Startup accelerators have emerged as new investment entities that help early startups, which are not easy to survive continuously due to lack of funds, commercialization capabilities, and experiences. As their positive performance on early startups and the ecosystem has been proven, the number of early startups which want to receive their investment is also increasing. However, they are vaguely preparing to attract accelerators' investment because they do not have any information on what factors the accelerators consider important. In addition, researches on startup accelerators are also at an early level, so there are no remarkable prior studies on factors that decide on investment. Therefore, this study aims to help startups prepare for investment attraction by looking at what factors are important for accelerators to invest, and to provide meaningful implications to academia. In the preceding study, we derived five upper level categories, 26 lower level accelerators' investment determinants through the qualitative meta-synthesis method, secondary data analysis, observation on US accelerators and in-depth interviews. In this study, we want to derive important implications by deriving priorities of the accelerators' investment determinants. Therefore, we used AHP that are evaluated as the suitable methodology for deriving importance and priority. The analysis results show that accelerators value market-related factors most. This means that startups that are subject to investment by accelerators are early-stage startups, and many companies have not fully developed their products or services. Therefore, market-related factors that can be evaluated objectively seem to be more important than products (or services) that are still ambiguous. Next, it was found that the factors related to the internal workforce of startups are more important. Since accelerators want to develop their businesses together with start-ups and team members through mentoring, ease of collaboration with them is very important, which seems to be important. The overall priority analysis results of the 26 investment determinants show that 'customer needs' and 'founders and team members' understanding of customers and markets' (0.62) are important and high priority factors. The results also show that startup accelerators consider the customer-centered perspective very important. And among the factors related to startups, the most prominent factor was the founder's openness and execution ability. Therefore, it can be confirmed that accelerators consider the ease of collaboration with these startups very important.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.65-76
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• 2023

In the field of technology entrepreneurship and startups, the development of Artificial Intelligence(AI) has emerged as a key topic for business model innovation. As a result, venture firms are making various efforts centered on AI to secure competitiveness(Kim & Geum, 2023). The purpose of this study is to analyze the relationship between the development of GenAI technology and the startup ecosystem by analyzing domestic news articles to identify trends in the technology startup field. Using BIG Kinds, this study examined the changes in GenAI-related news articles, major issues, and trends in Korean news articles from 1990 to August 10, 2023, focusing on the emergence of ChatGPT before and after, and visualized the relevance through network analysis and keyword visualization. The results of the study showed that the mention of GenAI gradually increased in the articles from 2017 to 2023. In particular, OpenAI's ChatGPT service based on GPT-3.5 was highlighted as a major issue, indicating the popularization of language model-based GenAI technologies such as OpenAI's DALL-E, Google's MusicLM, and VoyagerX's Vrew. This proves the usefulness of GenAI in various fields, and since the launch of ChatGPT, Korean companies have been actively developing Korean language models. Startups such as Ritten Technologies are also utilizing GenAI to expand their scope in the technology startup field. This study confirms the connection between GenAI technology and startup entrepreneurship activities, which suggests that it can support the construction of innovative business strategies, and is expected to continue to shape the development of GenAI technology and the growth of the startup ecosystem. Further research is needed to explore international trends, the utilization of various analysis methods, and the possibility of applying GenAI in the real world. These efforts are expected to contribute to the development of GenAI technology and the growth of the startup ecosystem.

• The Journal of Sustainable Design and Educational Environment Research
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• v.20 no.4
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• pp.13-20
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• 2021

In the world, each country is preparing various policies to promote start-ups, and the Korean government is actively promoting policies to support start-ups and the national economy through technology-based start-ups for creating jobs. Recently, the number of start-up companies is on the rise. In particular, in accordance with the industrial structure transformation leading the 4th Industrial Revolution, technology-based start-ups are steadily growing based on knowledge-based services such as information and communication, science and technology service industry, and business support service industry. The purpose of this study is to find out whether the startup space provided by the university reflects the startup-friendly characteristics, and to investigate and analyze the satisfaction and requirements of the space required by the actual college campus startup space users to create a more efficient space configuration plan. Through this study, factors that should be considered first for universities in preparing startup spaces were derived for each space element. Therefore, it is necessary for university campuses to deeply recognize the importance of space provision among the future start-up support systems, and to improve them periodically through the consumers' satisfaction of the space in the construction and improvement of startup spaces.

• 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.9 no.6
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• pp.1-8
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• 2014

The government has established a foundation activation measures across a total of 10 times to expanse job creation, promote new growth engines and enhance youth entrepreneurship for trying to spread socially. In order to improve startup activation policies and excavation, it is necessary to supplement the gaps going to construct a stable infrastructure through periodic status research on their occupational sense and entrepreneurship awareness. Since 2012, the government's has been surveyed to address the current understanding of the occupational sense and entrepreneurship awareness of population characteristics. Until 2013 only the youth were surveyed, recently from 2014 expanded its range to the public. This study laid the foundation for a more comprehensive set of analysis through which to learn and understand the differences between the status of each group for entrepreneurship awareness by utilizing survey data from the government. And this study was obtained from a survey of university students and the general public. A total of 3000 people nationwide survey was conducted about the entrepreneurship environment for start-ups and entrepreneurship awareness and success factors for a month. The University students survey result were classified according to the area, school and gender. And The general public survey was classified according to the area, the age and gender. Each response result indicates a significant difference between the students and the general public did not appear. But through this survey, This study would contribute the establishment of the national startup infrastructure.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.97-110
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• 2020

This paper is on the policy proposal for venture ecosystem. First, one of the three secrets of the US venture ecosystem is the law of 50:50. Angel capital investment is as important as venture capital investment. Although professional angel investors and accelerators account for as much as VC in the venture ecosystem, they are ignored from policy considerations. We argue that the revision of related law is urgent. Second, large US firms invest more in M&As than in internal R&D. Therefore, accelerators and professional angel investors could make effective investment recovery after investing in a startup company. In other words, angel capital does not come in without secondary market development. Angel capital and secondary markets are the two pillars of the venture ecosystem. The government alone is difficult to develop a secondary market. This is why the private sector should come in and introduce corporate venture capital (CVC). Third, we believe the policy direction for national economic growth should be extended from the startup to scale-up. This is because the startup's sales and job creation will start in five years. While the previous study focused on funding (venture financing), this paper aims to balance all three stages of a venture: startup, growth, and recovery, which are the life cycle of a venture company or venture investment. In particular, we propose specific policies in each chapter to improve practical application.

• 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.