• Title/Summary/Keyword: 벤처투자법

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Supporting Reality and Support System Improvement for the Small and Medium Size Enterprises (중소기업 지원실태와 지원체계 개선방안)

  • Lee, Jae-Hyun;Ko, Seung-Hee
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.333-341
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    • 2009
  • This study was undertaken for Korean small and medium size enterprises(SME) support policy that conduct to 10 supporting sector. As a result of analysis, this study found out similarity and duplication for SME support policy under the influence of that support system and supporting body had a problem with complexity and multi-function. Therefore, the implication of this study is that typology analysis of supporting reality and support system improvement for the SME

A Comparative Study on the Regulatory Framework of Crowdfunding (크라우드펀딩 법제에 관한 비교연구)

  • De Moor, Lieven;Kim, Hyonsu
    • The Journal of Small Business Innovation
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    • v.19 no.1
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    • pp.1-16
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    • 2016
  • The whole world enters into the financial revolution called crowdfunding. The United States, Italy, the United Kingdom and Japan have already legally allowed equity crowdfunding. South Korea also enacted equity crowdfunding in July 2015 for the purpose of efficient financing for startups and SMEs. This study reviews their crowdfunding regulations in terms of offering and investment limitations, requirements for intermediaries and requirements for issuers. And then, we raise several points about Korean crowdfunding and suggest amendment of regulations to promote fund raising through crowdfunding.

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The Study about Developing More Rational Valuation Model to the Early Stage Companies (초기기업에 대한 정량적 가치평가 모델 구축에 관한 탐색적 연구)

  • Kang, Sang-Wook;Yang, Young-Seok;Yang, Soo-Hee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.4
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    • pp.15-24
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    • 2017
  • The major goal of this paper falls on developing new rational valuation model, to help companies and investors in the early stage of growth as to preparing and negotiating valuation of investment, by applying new reasonable discount indexes of calculating Discount Cash Flow in valuation of the start-up which has been recognized the critical fatal flaws of DCF with them. There are three specific studies done in this paper. First, this paper found the solid and viable bases of rational discount indexes as to applying DCF in valuing companies in the early growth stage with reviewing the previous studies including Berkus method, Scorecard Method, and Risk factor Summation method classified the most effective tools of valuing pre-revenue generating companies. Second, this paper quoted and analyzed the previous models and studies, so called, 'DCF-Prime' of applying DCF method as to value companies in the early growth stage by taking all risk factors innate to the companies in the early growth stage as the discount rate Beta coefficient. Third, this paper propose more viable and solid valuation models, so called, 'DCF-Plus'of combing all validated valuation factors in Berkus, Scorecard, and Risk Factor Summation methods into applying separate discount bracket after DCF Valuation over the companies in the early growth stage instead of taking them as the factors of discount rate, beta coefficient, like the previous model of DCF-Prime. DCF-Plus mainly developed in this paper will not only provide more rational valuation bases as to investment negotiation between companies and investors in the early growth stage, but also providing more accountable guidelines to companies in the early growth as to prepare investment raising and accelerating their company's value by themselves.

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Proposition of a Practical Hybrid Model for the Valuation of Technology (기술가치평가를 위한 실용적 하이브리드 모델의 제안)

  • Park, Hyun-Woo;Nah, Do-Baek;Park, Jong-Kyu
    • Management & Information Systems Review
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    • v.28 no.4
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    • pp.27-44
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    • 2009
  • Economic value of a certain technology is of great interest and importance in a wide variety of investment circumstances. These vary from companies considering investing in R&D projects, to venture capitalists funding start-up companies. However, such valuation is extremely difficult in any case, and the cost of failure can be very high. Many techniques have been proposed to assist managers facing this issue, from traditional discounted cash flow analysis to more recent methods based on real options. In the meantime, the discounted cash flow method has limitations in applying the valuation of technology. At the same time, there have been various solutions to overcome theoretical problems of the method. Real options have been thought as a solution. However, there are another problems in using them in real world. This paper reviews the previous studies on the valuation of technology in several aspects, discusses the practicability of the various methods available, and explore the application of a hybrid model, which aims to make these rather aore the ideas more accessible to practicing managers.

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Study on Procurement Capital Efficiency Using Worst Practice DEA Model (Worst Practice DEA모형을 이용한 조달자본의 효율성 측정연구)

  • Kang, Myoung-seok;Sin, Jeong-hun
    • Journal of Venture Innovation
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    • v.1 no.2
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    • pp.35-46
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    • 2018
  • The research on the efficiency analysis of domestic auto parts companies is mostly based on the calculation of the magnitude of the performance creation such as the sales amount compared to the input assets. However, the performance indicators such as sales, operating profit, and net profit are directly related to the cost structure and This cost structure is affected by changes in the firm's asset and capital structure. As a result, it is considered that efficient capital procurement needs to be done at the same time to create efficient management performance through proper investment. This study focuses on this point and attempts to measure the efficiency of procurement capital relative to the sales and other performance indicators generated by the first 33 suppliers who supply parts to Hyundai Kia Motors. Among the methods of evaluating efficiency, the DEA model based on the linear programming method is most widely used as a nonparametric method but The efficient frontier-based DEA model has the limitation that it can not use the variables that have a downward influence on the efficiency. This is inadequate to directly consider variables such as borrowings and total liabilities related to capital procurement. In this study, the efficiency of capital procurement was measured using Worst Practice DEA and the improvement direction of the capital procurement aspect of domestic auto parts companies was suggested

The Innovation Ecosystem and Implications of the Netherlands. (네덜란드의 혁신클러스터정책과 시사점)

  • Kim, Young-woo
    • Journal of Venture Innovation
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    • v.5 no.1
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    • pp.107-127
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    • 2022
  • Global challenges such as the corona pandemic, climate change and the war-on-tech ensure that the demand who the technologies of the future develops and monitors prominently for will be on the agenda. Development of, and applications in, agrifood, biotech, high-tech, medtech, quantum, AI and photonics are the basis of the future earning capacity of the Netherlands and contribute to solving societal challenges, close to home and worldwide. To be like the Netherlands and Europe a strategic position in the to obtain knowledge and innovation chain, and with it our autonomy in relation to from China and the United States insurance, clear choices are needed. Brainport Eindhoven: Building on Philips' knowledge base, there is create an innovative ecosystem where more than 7,000 companies in the High-tech Systems & Materials (HTSM) collaborate on new technologies, future earning potential and international value chains. Nearly 20,000 private R&D employees work in 5 regional high-end campuses and for companies such as ASML, NXP, DAF, Prodrive Technologies, Lightyear and many others. Brainport Eindhoven has a internationally leading position in the field of system engineering, semicon, micro and nanoelectronics, AI, integrated photonics and additive manufacturing. What is being developed in Brainport leads to the growth of the manufacturing industry far beyond the region thanks to chain cooperation between large companies and SMEs. South-Holland: The South Holland ecosystem includes companies as KPN, Shell, DSM and Janssen Pharmaceutical, large and innovative SMEs and leading educational and knowledge institutions that have more than Invest €3.3 billion in R&D. Bearing Cores are formed by the top campuses of Leiden and Delft, good for more than 40,000 innovative jobs, the port-industrial complex (logistics & energy), the manufacturing industry cluster on maritime and aerospace and the horticultural cluster in the Westland. South Holland trains thematically key technologies such as biotech, quantum technology and AI. Twente: The green, technological top region of Twente has a long tradition of collaboration in triple helix bandage. Technological innovations from Twente offer worldwide solutions for the large social issues. Work is in progress to key technologies such as AI, photonics, robotics and nanotechnology. New technology is applied in sectors such as medtech, the manufacturing industry, agriculture and circular value chains, such as textiles and construction. Being for Twente start-ups and SMEs of great importance to the jobs of tomorrow. Connect these companies technology from Twente with knowledge regions and OEMs, at home and abroad. Wageningen in FoodValley: Wageningen Campus is a global agri-food magnet for startups and corporates by the national accelerator StartLife and student incubator StartHub. FoodvalleyNL also connects with an ambitious 2030 programme, the versatile ecosystem regional, national and international - including through the WEF European food innovation hub. The campus offers guests and the 3,000 private R&D put in an interesting programming science, innovation and social dialogue around the challenges in agro production, food processing, biobased/circular, climate and biodiversity. The Netherlands succeeded in industrializing in logistics countries, but it is striving for sustainable growth by creating an innovative ecosystem through a regional industry-academic research model. In particular, the Brainport Cluster, centered on the high-tech industry, pursues regional innovation and is opening a new horizon for existing industry-academic models. Brainport is a state-of-the-art forward base that leads the innovation ecosystem of Dutch manufacturing. The history of ports in the Netherlands is transforming from a logistics-oriented port symbolized by Rotterdam into a "port of digital knowledge" centered on Brainport. On the basis of this, it can be seen that the industry-academic cluster model linking the central government's vision to create an innovative ecosystem and the specialized industry in the region serves as the biggest stepping stone. The Netherlands' innovation policy is expected to be more faithful to its role as Europe's "digital gateway" through regional development centered on the innovation cluster ecosystem and investment in job creation and new industries.