Data Analytics for Better Informed Technology & Engineering Management

被引：2
|
作者：
Porter A.L. [1 ,2 ]
机构：
[1] Search Technology Inc., Norcross, 30092, GA
[2] Georgia Tech, Atlanta, 30332, GA
来源：
IEEE Engineering Management Review | 2019年 / 47卷 / 03期
基金：
美国国家科学基金会;
关键词：
Bibliometrics; big data applications; computer aided analysis; data mining; knowledge management; technology management; text analysis; text mining;
D O I：
10.1109/EMR.2019.2928265
中图分类号：
学科分类号：
摘要：
Many fields are managing better by incorporating advanced data analytics-e.g., even sports such as baseball. We illustrate with a novel set of indicators that distinguish cutting edge R&D activity to provide competitive technical intelligence on who's doing what, where, and when. Our aim is to stimulate your thinking about what data analytics could help you achieve your technology management goals more effectively. © 1973-2011 IEEE.
引用
收藏
页码：29 / 32
页数：3
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