大数据对分析基于技术的新企业增长动力的价值
The value of big data for analyzing growth dynamics of technology based new ventures
摘要：
这项研究表明，网络搜索流量信息，特别是谷歌趋势数据，是一种可靠的高质量和易于访问的数据来源，用于分析基于技术的新企业（TBNV）的增长轨迹。本研究以241家美国TBNV为样本，比较分析了以搜索活动为代表的企业进化曲线与以风险投资的估值为代表的企业进化曲线之间的关系。结果表明，TBNV的增长动力与其整个样本的网络搜索流量呈正相关。当一家公司a）更成功（在估值方面）-特别是如果它是一个“独角兽”; b）以消费者为导向（即，b2c）;以及3）以数字平台的形式开发产品。基于模糊集定性比较分析（fsQCA）的进一步分析表明，对于最成功的公司（“独角兽”）和面向消费者的数字平台（即，B2C数字平台公司）提出的方法可能非常可靠，而对于其他高增长的TBNV，它有助于分析其增长动态，尽管程度更有限。所提出的方法论的方法打开了广泛的可能性，分析，研究和预测最近成立的增长型公司的增长，在实践和学术界。
英文摘要：
This study demonstrates that web-search traffic information, in particular, Google Trends data, is a credible novel source of high-quality and easy-to-access data for analyzing technology-based new ventures (TBNVs) growth trajectories. Utilizing the diverse sample of 241 US-based TBNVs, we comparatively analyze the relationship between companies' evolution curves represented by search activity on the one hand and by valuations achieved through rounds of venture investments on another. The results suggest that TBNV's growth dynamics are positively and strongly correlated with its web search traffic across the sample. This correlation is more robust when a company is a) more successful (in terms of valuation achieved) - especially if it is a "unicorn"; b) consumer-oriented (i.e., b2c); and 3) develops products in the form of a digital platform. Further analysis based on fuzzy-set Qualitative Comparative Analysis (fsQCA) shows that for the most successful companies ("unicorns") and consumer-oriented digital platforms (i.e., b2c digital platform companies) proposed approach may be extremely reliable, while for other high-growth TBNVs it is useful for analyzing their growth dynamics, albeit to a more limited degree. The proposed methodological approach opens a wide range of possibilities for analyzing, researching and predicting the growth of recently formed growth-oriented companies, in practice and academia.
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