• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.1
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• pp.85-95
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• 2016

Generally a venture capital aims at investment and support Venture businesses that signifies a start-up which has high technologies but frailty of the economy so that raise fund from financial agencies at high risk rate, it has high risk but when the venture businesses launch into general orbit, the venture capital guarantee high-rate profits. Venture capital do not just provide risk capital but also takes a role as a mentor for continuous growth with total consulting service at business and technical management. Also it offers in-depth support to reform the supported enterprise in order to enhance the competitive. Venture capital receives attention for years as a principal agent to be promoted strategically at national level. Bio venture, a major concern of venture capital and one of core industries in Korea, is different from other industries because it needs long-term and large scale of investment. these factors bring about difficulties in an investment and growth. Therefore, it is very important to identify growth and profitability of start-ups and small and venture businesses with long-term appreciation above all other industries. This research analyze management results of bio venture businesses empirically by investment from venture capital. according to the results, bio venture businesses need huge capital and a long gap of time, henceforth, formation of model for growth is necessary with angel investing as well as venture capital. Since, there are not many listed bio venture businesses, significant statistical result would be limited. This research studied at only economic focus but further study need to examine a question from various angles.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.1-18
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• 2019

Venture capitalists (VCs) play an important role in finding and growing innovative venture companies with high growth potential but high risk. Venture capital investment does not depend on the system, unlike the investment for listed companies. Korea's venture capital industry has entered a period of growth, but lack of data has led to a lack of research on venture capital. Based on this background, this study attempts to analyze various factors affecting investment decision criteria of Korea VCs. In this study, I examined the major factors that VCs consider in decision making of investment through literature review, and I have drawn the research question accordingly. I will focus on the characteristics of founders, products / services, markets, financials, and networks that scholars share common investment decision criteria in Korean VCs. For the purpose of this study, the data were collected through the questionnaire surveyed by investment vetters working in current venture capital and analyzed using AHP analysis. Through this study, I tried to understand the Korean venture capital which has been poorly studied and what criteria and priorities Korean VCs make investment decisions in the Korean venture investment environment. The results of this research will contribute to the vitalization of venture investment, which is important for the upbringing of companies, by providing guidelines for establishing investment attraction strategies of venture companies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.6
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• pp.131-141
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• 2019

This paper investigates a relationship between a market position of a venture capitalist(i.e.,VC) and its subsequent performance. Although a VC firm may perform better if it occupies a narrow niche(e.g.,specialist), which allows the firm to attain deep insider knowledge and build an identity as an industry expert, a firm may perform better if it has a broader niche(e.g.,generalist), which gives the firm access to more diverse information and opportunities and to effectively spread out potential risks. Given that accesses to valuable information and chances are critical for success in venture capital industry, we hypothesize that venture capitalists with broad niche width are more likely to grow in the future and analyze 26-year data on US venture capital industry. We found that, in general, a firm can enjoy the advantage of having a broad niche. However, the return to having a broad niche varies depending on its status within the market: a return greater for low- status than high-status VC firms. Our finding suggests that explorative efforts may be more rewarding for low-status VC firms.

• Electronics and Telecommunications Trends
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• v.37 no.6
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• pp.1-10
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• 2022

Artificial intelligence (AI) has rapidly diffused across industries and societies as nations' essential strategic technology. In innovative technology, such as AI, a startup leads to technological innovation and significantly impacts the expansion of relevant industries. Thus, this study examined the trend of AI startup venture capital (VC) investments globally, focusing on ① noteworthy VC investment statuses (the number and size of the investment, company establishment, and corporate collection), ② the characteristics of each key nation's investments, and ③ the characteristics of each submarket's investments. Among the 11 countries, the results showed that Korea ranked near the bottom for absolute quantitative measures, including the number and size of investments, company establishment, and corporate collection. However, Korea has built a foundation of catching up with what AI-leading countries have established, considering Korea's high growth rate in the number and size of investments and a recent mega-round. This study has practical implications in that it determined the AI startup VC investment status of Korea's rival countries, not only G2 (US and China). The results can be used in policy-making. Furthermore, identifying the AI industry's submarkets and analyzing each market's VC investment status could be used to establish strategies for the AI industry and R&D.

• 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.

• Smart Media Journal
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• v.12 no.3
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• pp.93-101
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• 2023

In this paper, we investigate the relationship between a company's Intellectual Property (IP) portfolio strength and its success in obtaining venture funding in the Korean digital media & entertainment industry. Using data from 685 Korean digital media & entertainment companies registered in Crunchbase, a global database provider of venture funding information, we found that a strong IP portfolio is positively associated with funding success. Furthermore, our study revealed that the effect of IP portfolio strength on funding success is stronger for younger companies, suggesting that IP portfolio is more critical for firms that have less reputation and track record.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.33-51
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• 2022

This study analyzes newly listed companies on KOSDAQ from 2011 to 2020 for both firms having experience in attracting venture investment before listing (VI) and those without having experience in attracting venture investment (NVI) by examining differences between two groups (VI and NVI) with respect to both the level of listing performance and that of firm performance (growth) after the listing. This paper conducts descriptive statistics, mean difference, and multiple regression analysis. Independent variables for regression models include VC investment, firm age at the time of listing, firm type, firm location, firm size, the age of VC, the level of expertise of VC, and the level of fitness of VC with investment company. Throughout this paper, results suggest that listing performance and post-listed growth are better for VI than NVI. VC investment shows a negative effect on the listing period and a positive effect on the sales growth rate. Also, the amount of VC investment has negative effects on the listing period and positive effects on the market capitalization at the time of IPO and on sales growth among growth indicators. Our evidence also implies a significantly positive effect on growth after listing for firms which belong to R&D specialized industries. In addition, it is statistically significant for several years that the firm age has a positive effect on the market capitalization growth rate. This shows that market seems to put the utmost importance on a long-term stability of management capability. Finally, among the VC characteristics such as the age of VC, the level of expertise of VC, and the level of fitness of VC with investment company, we point out that a higher market capitalization tends to be observed at the time of IPO when the level of expertise of anchor VC is high. Our paper differs from prior research in that we reexamine the venture ecosystem under the outbreak of coronavirus disease 2019 which stimulates the degradation of the business environment. In addition, we introduce more effective variables such as VC investment amount when examining the effect of firm type. It enables us to indirectly evaluate the validity of technology exception policy. Although our findings suggest that related policies such as the technology special listing system or the injection of funds into the venture ecosystem are still helpful, those related systems should be updated in a more timely fashion in order to support growth power of firms due to the rapid technological development. Furthermore, industry specialization is essential to achieve regional development, and the growth of the recovery market is also urgent.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.6
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• pp.1-9
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• 2019

Since 2005, Korea Venture Investment Corp. (KVIC) has been managing Korean Fund of Funds (KFoF) which helped greatly the domestic venture capitals create their private funds. Its contribution, however, is not limited fetching the pump. When KFoF decides to invest in VC funds, it demands very strict rules the VC funds need to follow before and after their investments in private equities. Whether this tight control of investments does hinder GPs' creativity or rather enhance GPs' transparency and professionalism is an open question subject to empirical tests. If KFoF is only fetching the pump, and neither fund size or time horizon improves VC funds' return rates, then KFoF's involvement in VC funds should not be positively related to VC funds' return rates. If, on the other hand, KFoF harms GPs' creativity, KFoF's involvement should be negatively related to VC funds' performances. Still, if KFoF promotes GPs' transparency and professionalism, its presence in VC funds should positively affect the returns earned by VC funds. Even when KFoF only got to get quality VC funds because those GPs good enough to stand up to the tight conditions set forth by KFoF, the empirical implication will yield the same results. In this article, empirical tests are carried out using the data provided by Korea Venture Capital Association. The VC funds formed and liquidated from 2000 to 2018 are selected for the tests. The results show that VC funds with the presence of KFoF exceed VC funds without KFoF in returns, which supports the hypothesis that KFoF enhances transparency and professionalism of VC funds.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.173-185
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• 2017

본 논문에서는 해양 및 수산 분야의 투자용 기술력평가모형 개발을 위하여 민간 VC투자 활성화를 위한 평가기법 선행조사를 수행하며, 국내 관련 전문기관 등의 기술투자 관련 기술력평가 모형개발과 활용수준 등을 조사하고, 해외 관련 전문기관의 기술평가모형 현황에 대한 조사·분석을 수행하였다. 또한 투자용 기술력평가 모형의 용도와 방향 설정을 위하여 국내 기술투자 관련 전문가 그룹을 활용하여 기술공급자와 수요자 관점에서의 견해를 반영한 투자모형의 용도와 방향설정을 제시하였다. 결과적으로 기술투자 목적의 평가요인을 도출하고, 기술투자자 입장의 평가결과 유효성 검증을 통해 평가결과의 실무적 활용성을 제고시키고자 한다. 기술보증기금에서 개발한 기존의 투자용 기술력평가 모형이 많은 타 기관에 파급되어 운영되고 있지만, 활용수준이 미미한 점을 검토하여 VC의 투자의사결정 요소에 관한 연구결과를 기반으로 해양수산분야 투자용 기술력평가 신규모형을 설계하였다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.21-35
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• 2023

Expectations surrounding generative AI technology and its profound ramifications are sweeping across various industrial domains. Given the anticipated pivotal role of the startup ecosystem in the utilization and advancement of generative AI technology, it is imperative to cultivate a deeper comprehension of the present state and distinctive attributes characterizing venture capital (VC) investments within this domain. The current investigation delves into South Korea's landscape of VC investment deals and prognosticates the projected VC investments by juxtaposing these against the United States, the frontrunner in the generative AI industry and its associated ecosystem. For analytical purposes, a compilation of 286 investment deals originating from 117 U.S. generative AI startups spanning the period from 2008 to 2023, as well as 144 investment deals from 42 South Korean generative AI startups covering the years 2011 to 2023, was amassed to construct new datasets. The outcomes of this endeavor reveal an upward trajectory in the count of VC investment deals within both the U.S. and South Korea during recent years. Predominantly, these deals have been concentrated within the early-stage investment realm. Noteworthy disparities between the two nations have also come to light. Specifically, in the U.S., in contrast to South Korea, the quantum of recent VC deals has escalated, marking an augmentation ranging from 285% to 488% in the corresponding developmental stage. While the interval between disparate investment stages demonstrated a slight elongation in South Korea relative to the U.S., this discrepancy did not achieve statistical significance. Furthermore, the proportion of VC investments channeled into generative AI enterprises, relative to the aggregate number of deals, exhibited a higher quotient in South Korea compared to the U.S. Upon a comprehensive sectoral breakdown of generative AI, it was discerned that within the U.S., 59.2% of total deals were concentrated in the text and model sectors, whereas in South Korea, 61.9% of deals centered around the video, image, and chat sectors. Through forecasting, the anticipated VC investments in South Korea from 2023 to 2029 were derived via four distinct models, culminating in an estimated average requirement of 3.4 trillion Korean won (ranging from at least 2.408 trillion won to a maximum of 5.919 trillion won). This research bears pragmatic significance as it methodically dissects VC investments within the generative AI domain across both the U.S. and South Korea, culminating in the presentation of an estimated VC investment projection for the latter. Furthermore, its academic significance lies in laying the groundwork for prospective scholarly inquiries by dissecting the current landscape of generative AI VC investments, a sphere that has hitherto remained void of rigorous academic investigation supported by empirical data. Additionally, the study introduces two innovative methodologies for the prediction of VC investment sums. Upon broader integration, application, and refinement of these methodologies within diverse academic explorations, they stand poised to enhance the prognosticative capacity pertaining to VC investment costs.