• Title/Summary/Keyword: venture companies

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An Empirical Analysis of Corporate Performance According to Existence and Types of Venture Capital (벤처캐피탈 투자기업의 성과에 관한 연구: 코스닥 IPO 기업을 중심으로)

  • Lee, Kwang Yong;Shin, Hyun-Han;Kim, So Yeon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.14 no.2
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    • pp.15-30
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    • 2019
  • This study investigates the effects of venture capital investment and corporate venture capital investment on the performance of IPOs listed on KOSDAQ between 2000 and 2014. We classified venture firms with venture capital-backed companies and non-venture capital-backed companies, having the former of which further divided into corporate venture capital-backed companies and independent venture capital-backed companies. The time window of the analysis was set to between 2 years before and 3 years after IPO. Main results of this study reveal that there is little difference between venture capital-backed companies and non-venture capital-backed companies in terms of profitability before and after going public. However, we found out that after IPO venture capital-backed companies display higher ROA than independent venture capital-backed companies or non-venture capital-backed companies, suggesting that corporate venture capital-backed companies might be more advantageous in growing a venture capital ecosystem in Korea.

The Impact of the Government's R&D Support and the Introduction of Stock Options by Venture Companies on the Innovation Achievement of Venture Companies (정부의 R&D 지원과 벤처기업의 스톡옵션제도 활용이 벤처기업의 혁신성과에 미치는 영향)

  • Kim, Ho-hyun;Park, Hyung-jun
    • Journal of Venture Innovation
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    • v.7 no.1
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    • pp.17-39
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    • 2024
  • The purpose of this study was to analyze the effect of the government's R&D support and the use of stock options by venture companies on the innovation of venture companies, that is, innovation capabilities and innovation performance. An empirical analysis was conducted using the partial least squares structural equation modeling (PLS-SEM) method using the data from the detailed survey of venture companies conducted on domestic venture confirmation companies. As a result of the analysis, it was found that the benefit of government R&D support had a positive (+) effect on strengthening the innovation capabilities of venture companies, and R&D support also had a positive (+) effect on the innovation performance of venture companies. Next, it was found that the use of stock options by venture companies had a positive (+) effect on the reinforcement of the innovation capabilities of companies and a positive (+) effect on the innovation performance of venture companies. In addition, it was found that the innovation capabilities of venture companies significantly mediate between the government's R&D support and the use of stock options by venture companies and the innovation performance of companies. These analysis results show that the government's R&D support and the use of stock option systems can play a meaningful role in the innovation of venture companies, and also show that the innovation capabilities of venture companies have an important meaning in the process of innovation. Therefore, it is necessary to continue the stance of R&D support for ventures and at the same time to introduce multi-faceted policy measures to support corporate capacity building, and legal and institutional maintenance and policy support to revitalize the stock option system need to be continuously provided.

Components and Interactions of Venture Ecosystems: A Focus on Korean Case Studies

  • Lim, Chae-Yoon;Kim, Yun-Young
    • STI Policy Review
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    • v.1 no.4
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    • pp.21-28
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    • 2010
  • This study analyzes the establishment of venture companies and the interaction of venture ecosystem components (the core factors of venture ecosystems) with a focus on venture companies, venture capital, and the return market. Government support policies are understood as a catalyst for the venture ecosystem and this study will analyze the implications of government involvement by identifying the role of government policies in the venture ecosystem. According to the results of the empirical analysis with data on confirmed venture businesses by the Small and Medium Business Administration (SMBA), policies that provide direct support to venture companies did not have a significant influence on the establishment of new ventures. However, new investments by venture capital show a statistically significant positive effect and signify that the new investment is an important factor in vitalizing the establishment of new venture businesses and that the economic conditions of the return market have a positive effect. The establishment of venture businesses responds to the changes in real and vertical markets with greater resilience compared to government policies. Given the unique nature of the Korean venture ecosystem that responds to the market with greater resilience than government policies, there must be increased efforts to recover the confidence of the capital markets for venture capital in order to promote improved efficiency.

The Prediction of DEA based Efficiency Rating for Venture Business Using Multi-class SVM (다분류 SVM을 이용한 DEA기반 벤처기업 효율성등급 예측모형)

  • Park, Ji-Young;Hong, Tae-Ho
    • Asia pacific journal of information systems
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    • v.19 no.2
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    • pp.139-155
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    • 2009
  • For the last few decades, many studies have tried to explore and unveil venture companies' success factors and unique features in order to identify the sources of such companies' competitive advantages over their rivals. Such venture companies have shown tendency to give high returns for investors generally making the best use of information technology. For this reason, many venture companies are keen on attracting avid investors' attention. Investors generally make their investment decisions by carefully examining the evaluation criteria of the alternatives. To them, credit rating information provided by international rating agencies, such as Standard and Poor's, Moody's and Fitch is crucial source as to such pivotal concerns as companies stability, growth, and risk status. But these types of information are generated only for the companies issuing corporate bonds, not venture companies. Therefore, this study proposes a method for evaluating venture businesses by presenting our recent empirical results using financial data of Korean venture companies listed on KOSDAQ in Korea exchange. In addition, this paper used multi-class SVM for the prediction of DEA-based efficiency rating for venture businesses, which was derived from our proposed method. Our approach sheds light on ways to locate efficient companies generating high level of profits. Above all, in determining effective ways to evaluate a venture firm's efficiency, it is important to understand the major contributing factors of such efficiency. Therefore, this paper is constructed on the basis of following two ideas to classify which companies are more efficient venture companies: i) making DEA based multi-class rating for sample companies and ii) developing multi-class SVM-based efficiency prediction model for classifying all companies. First, the Data Envelopment Analysis(DEA) is a non-parametric multiple input-output efficiency technique that measures the relative efficiency of decision making units(DMUs) using a linear programming based model. It is non-parametric because it requires no assumption on the shape or parameters of the underlying production function. DEA has been already widely applied for evaluating the relative efficiency of DMUs. Recently, a number of DEA based studies have evaluated the efficiency of various types of companies, such as internet companies and venture companies. It has been also applied to corporate credit ratings. In this study we utilized DEA for sorting venture companies by efficiency based ratings. The Support Vector Machine(SVM), on the other hand, is a popular technique for solving data classification problems. In this paper, we employed SVM to classify the efficiency ratings in IT venture companies according to the results of DEA. The SVM method was first developed by Vapnik (1995). As one of many machine learning techniques, SVM is based on a statistical theory. Thus far, the method has shown good performances especially in generalizing capacity in classification tasks, resulting in numerous applications in many areas of business, SVM is basically the algorithm that finds the maximum margin hyperplane, which is the maximum separation between classes. According to this method, support vectors are the closest to the maximum margin hyperplane. If it is impossible to classify, we can use the kernel function. In the case of nonlinear class boundaries, we can transform the inputs into a high-dimensional feature space, This is the original input space and is mapped into a high-dimensional dot-product space. Many studies applied SVM to the prediction of bankruptcy, the forecast a financial time series, and the problem of estimating credit rating, In this study we employed SVM for developing data mining-based efficiency prediction model. We used the Gaussian radial function as a kernel function of SVM. In multi-class SVM, we adopted one-against-one approach between binary classification method and two all-together methods, proposed by Weston and Watkins(1999) and Crammer and Singer(2000), respectively. In this research, we used corporate information of 154 companies listed on KOSDAQ market in Korea exchange. We obtained companies' financial information of 2005 from the KIS(Korea Information Service, Inc.). Using this data, we made multi-class rating with DEA efficiency and built multi-class prediction model based data mining. Among three manners of multi-classification, the hit ratio of the Weston and Watkins method is the best in the test data set. In multi classification problems as efficiency ratings of venture business, it is very useful for investors to know the class with errors, one class difference, when it is difficult to find out the accurate class in the actual market. So we presented accuracy results within 1-class errors, and the Weston and Watkins method showed 85.7% accuracy in our test samples. We conclude that the DEA based multi-class approach in venture business generates more information than the binary classification problem, notwithstanding its efficiency level. We believe this model can help investors in decision making as it provides a reliably tool to evaluate venture companies in the financial domain. For the future research, we perceive the need to enhance such areas as the variable selection process, the parameter selection of kernel function, the generalization, and the sample size of multi-class.

A Study on Financial Performance of Venture Companies in accordance with Its Financing channels (벤처기업의 자금조달 방법에 따른 기업의 재무적 성과의 차이 분석)

  • Suh, Jung Han;Chu, Dong Woo;Roh, Doo Hwan
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.1
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    • pp.159-171
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    • 2011
  • This paper discuss the role of venture capital as a critical financing sources for Venture Business particularly technology oriented firms. Thus this study is to analyse what makes the difference in financial performance among the companies. In particular, this paper focuses on their financing channels, which would have greater influence on their financial performance according to having venture capitals or not. As a result, taking into consideration of financial performance of the companies, there were significant differences in financial performance between venture companies with the capital and one without it. Therefore, it is necessary to reconsider capital policies for venture business and also those policies will be well alliance with nurturing the ventures not only support financing aids but also build up the institutional improvement plan.

The Effect of Government Support on Management Performance of ICT Venture Companies : Focusing on the Effectiveness of Funding and R&D Support (정부 지원이 ICT 벤처기업의 경영 성과에 미치는 영향 : 자금 및 연구개발 지원 효과를 중심으로)

  • Chung, Do-Bum;You, Hwasun
    • Journal of Technology Innovation
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    • v.29 no.3
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    • pp.63-90
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    • 2021
  • Today, venture companies are increasingly important in that they play a key role in national economic growth. However, ICT venture companies are having great difficulties in securing a sustainable competitive advantage due to rapid environmental changes, and as one of the ways to solve this problem, they rely on the government's support policy. Accordingly, this study analyzed the effect of government support on management performance of ICT venture companies. For empirical analysis, the data from the 2016 ICT venture panel survey was collected, and 687 and 538 companies were selected to analyze the effect of funding and R&D support, respectively. Then, through propensity score matching, companies that received government support and companies with similar characteristics (control group) were compared and analyzed. As a result of the analysis, it was found that funding support had a significant effect on the growth potential of ICT venture companies, and R&D support had a significant effect on the stability of ICT venture companies. This means that there is a difference in management performance of ICT venture companies depending on the type of government support. Through this study, it was possible to confirm the effect of government's policies, and various support policies for specific purposes should be pursued to foster ICT venture companies. In addition, for the continued growth of ICT venture companies in the future, it will be necessary to consider package (technology, management, commercialization, etc.) support rather than individual funding support or R&D support.

Factors Affecting the Success of IT Service Venture Firms (IT서비스 벤처기업 성공에 영향을 미치는 요인)

  • An, Won Young;Oh, Jay In
    • Journal of Information Technology Services
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    • v.16 no.4
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    • pp.47-64
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    • 2017
  • Three years after establishment, companies are said to face a period of risk called the "valley of death." To start a venture company and make it sustainable, the chance of failure must be minimized. According to an in-depth assessment report on special taxation in 2015, the one-year survival rate of Korean companies was about 60 percent and the five-year survival rate about 30%. These rates are low compared to those of major OECD member countries. Worse, such rates in Korea are decreasing year by year. The purpose of this study is to classify the success factors behind venture companies into human capital, social capital and financial capital, and verify through empirical analysis the factors influencing the success of venture companies based on the mediating roles of capability of the startup team and that for innovation. To find the success factors behind venture companies, this study first examined the theories derived from previous studies. SPSS 21 was used as the study method, while descriptive statistics, exploratory factor analysis and CMB test were conducted. In addition, SmartPLS 2 was used for confirmatory factor analysis, hypothesis test, mediation effect. The results of this study can help efforts toward job creation and economic revitalization pursued by the creative economy policy of the incumbent Korean administration. They can also be used as the cornerstone for venture companies in their pursuit of success.

A Study on the Measures to Activate the Credit Loans for the Venture Companies (벤처기업신용대출 활성화 방안에 관한 연구)

  • Park, Keun-Soo
    • The Journal of Information Technology
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    • v.8 no.3
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    • pp.11-23
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    • 2005
  • This paper study the way of increasing the credit loan for the Venture Companies. They are very important in national economics. But they are short of financial and mortgage although they have many kinds of superb ideas and technologies. Korean government has tried to financially support them. But the support has had its own limit. Banks and other financial institutions have not been in a positive position to loan money out to venture companies because their businesses are highly risky. The credit evaluation system of medium and small business are need to improve in order to increase the Venture Companies. loan. So, it is necessary to find new measures to activate credit loans to them.

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Impacts on the Support to Start-up Venture Company using Public Purchases (공공조달수요를 통한 창업벤처기업 지원의 거시경제 파급효과)

  • Kim, Jaehyun;Kim, Ji Young
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.2
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    • pp.153-161
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    • 2021
  • This study analyzed the ripple effect of the demand-side support for start-up venture companies on the macro economy using Dynamic General Equilibrium model. In the model, start-up venture companies were expressed in a manner that distinguished between workers and entrepreneurs by applying the span of control in the Lucas(1978). As a result of the analysis, when the share of public procurement of start-up venture companies was increased from 5.7% to 10%, the actual production of start-up venture companies increased by about 46.17% and the number of venture companies increased by about 150%. In addition, it was analyzed that the number of jobs through venture companies increased by about 61.56%. In addition, it was found that the economic effect was greatly reduced when the start-up venture company was supported as a subsidy for the supply sector with the same amount as the public procurement support. This is interpreted as the fact that if the government implements the supply-side support policy, the expansion of supply causes the price of start-up venture companies to fall, reducing the effect of the support policy in half. Therefore, when supporting start-up venture companies, the government should make efforts to maximize the policy effect by expanding the demand-side support through public procurement and reducing the payment of simple subsidies to start-up venture companies.

The Impact of Social Responsibility Management Certification on Venture Company's Formation of Organizational Trust (사회적책임경영(CSR) 인증이 벤처기업의 조직신뢰 형성에 미치는 영향)

  • Yoon, Heon-Deok;Sung, Jong-Su
    • Journal of Korean Society for Quality Management
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    • v.40 no.2
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    • pp.126-144
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    • 2012
  • Lately, the importance of social responsibility of venture companies is becoming highlighted in Korea.This study is to empirically suggest that the practice of social responsibility by venture companies will become the foundation for formation of the organizational trust and for the sustainable growth of the organization. The certification on social responsibility for venture companies has been conducted for past five year and based on the research on difference of organizational validity on companies that are certified and non-certified by its practice of social responsibility, we've found organizational trust difference in two groups; the companies that already formed organizational trust did not have new mediation effect due to organizational commitment but the non-certified companies that did not have organization trust created new medication effect from organizational commitment. This can be understood that the organizational commitment effect through social responsibility is already formed for companies that have created organizational trust through social responsibility certification. The organizational infrastructure is needed for sustainable growth and development of an organization; therefore, the differentiated organizational trust for social responsibility certified organization will become the infrastructure for growth of the certified organizations.