Influence of Venture Capital and Knowledge Transfer on Innovation Performance in the Big Data Environment
Influence of Venture Capital and Knowledge Transfer on Innovation Performance in the Big Data Environment
复制标题
大数据环境下风险投资和知识转移对创新绩效的影响
DOI：
10.3390/jrfm12040188
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发表时间：
2019-12
期刊：
影响因子：
--
通讯作者：
Mark E. McMurtrey
中科院分区：
文献类型：
--
作者：
Wu Chuanrong;Yang Xiaoming;Lee Veronika;Mark E. McMurtrey
技术创新需要大量投资。风险投资（VC）是创新型初创企业的重要资金来源。风险资本家将不可避免地转移知识，以促进公司的创新，同时监督和建议其投资组合公司。只有当一个企业拥有自己有价值的新知识和高增长潜力时，风险投资家才会选择它。同时，大数据知识，如客户需求和用户偏好，对于大数据环境下企业的新产品开发也很重要。因此，从风险投资家转移的私人知识、企业自身独立开发的新知识和大数据知识是大数据环境下风险投资支持企业的三种主要知识类型。为研究风险投资和知识转移对风险投资企业创新绩效的影响，构建了大数据环境下风险投资企业新产品创新绩效期望利润现值最大化模型。该模型可以帮助风险投资家确定投资规模和最优退出时间，并预测内部收益率。这种模式还可以帮助创新创业公司在其商业招股说明书中说明项目的价值和前景，以吸引投资。
Technological innovation requires large investments. Venture capital (VC) is a prominent financial source for innovative start-ups. A venture capitalist will inevitably transfer knowledge to facilitate the innovation of a firm while monitoring and advising its portfolio companies. Only when a firm has its own valuable new knowledge and high growth potential would venture capitalists select it. At the same time, big data knowledge, such as customer demands and user preferences, is also important for the new product development of a firm in the big data environment. Therefore, private knowledge transferred from venture capitalists, new knowledge developed independently by a firm itself, and big data knowledge are the three main types of knowledge for venture-backed firms in the big data environment. To find the influences of VC and knowledge transfer on the innovative performance of venture-backed firms, a model of maximizing the present value of the expected profit of new product innovation performance of a venture-backed firm in the big data environment is presented. The model can help venture capitalists to determine the scale of investment and the optimal exit time and predict the internal rate of return (IRR). This model can also help innovative start-ups to illustrate the value and prospects of a project to attract investment in their business prospectus.
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DOI：
10.1093/oxfordhb/9780195391596.013.0023
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期刊：
--
影响因子：
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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