技术采矿:一个回顾和导航
Alan L Porter1,2, Yi Zhang3, Nils C Newman1
1Search Technology, Inc., Peachtree Corners, GA, United States.
Frontiers in research metrics and analytics
|May 14, 2024
概括
技术采矿使用对科学,技术和创新 (ST&I) 数据的实证分析来产生研发情报. 这种方法有助于管理创新流程,正如混合动力和电动汽车案例研究所示.
科学领域:
- 科学与技术研究 研究科学与技术研究
- 创新管理 创新管理
- 数据分析数据分析数据分析.
背景情况:
- 有效管理研发 (R&D) 和创新至关重要.
- 科学,技术和创新 (ST&I) 数据的实证分析提供了有价值的见解.
- 分析ST&I数据的现有方法可能是复杂和分散的.
研究的目的:
- 介绍和审查技术采矿的工具和目的.
- 展示各种技术挖矿工具如何相互补充.
- 为了说明Tech Mining在研发和创新中产生可操作智能的潜力.
主要方法:
- 技术采矿方法论的系统审查.
- 开发一个5部分数组来结构分析元素.
- 在混合动力和电动汽车 (HEV) 的案例研究中应用技术挖矿工具.
主要成果:
- 技术采矿为ST&I数据的实证分析提供了一个框架.
- 可以整合一系列工具进行全面分析.
- 该HEV案例研究表明了技术采矿洞察的复杂性和价值.
- 生成的情报可以支持战略研发和创新管理.
结论:
- 技术采矿是一种强大的方法,可以从ST&I数据中获得智能.
- 集成技术采矿工具增强了研发和创新管理.
- 该方法为工业和研究提供了实际应用和有价值的见解.
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