Event Analytics for Innovation Trajectories: Understanding Inputs and Outcomes for Entrepreneurial Success

Event Analytics for Innovation Trajectories: Understanding Inputs and Outcomes for Entrepreneurial Success
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创新轨迹的事件分析：了解创业成功的投入和结果

DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
B. Shneiderman
B. Shneiderman
中科院分区：
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文献类型：
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作者：
C. S. Dempwolf;B. Shneiderman

文献摘要

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新的分析工具正在扩大创新研究人员的选择。虽然以前的研究人员经常推测专利或资金等投入与产品发布或首次公开募股等结果之间的关系，但新的软件工具使研究人员能够更有效地分析创新事件数据。 EventFlow 等工具可以快速扫描视觉显示、通过算法搜索模式以及研究显示常见和罕见模式的聚合视图。本文介绍了如何使用来自 34,331 种药物或医疗设备的数据将 EventFlow 等事件分析软件工具应用于创新研究的初步示例。
New analysis tools are expanding the options for innovation researchers. While previous researchers often speculated on the relationship between inputs, such as patents or funding, and outcomes such as product releases or IPOs, new software tools enable researchers to analyze innovation event data more efficiently. Tools such as EventFlow make it possible to rapidly scan visual displays, algorithmically search for patterns, and study an aggregated view that shows common and rare patterns. This paper presents initial examples of how event analytic software tools such as EventFlow could be applied to innovation research, using data from 34,331 drugs or medical devices.