AUTHOR=Porter Alan L. , Zhang Yi , Newman Nils C. TITLE=Tech mining: a revisit and navigation JOURNAL=Frontiers in Research Metrics and Analytics VOLUME=9 YEAR=2024 URL=https://www.frontiersin.org/journals/research-metrics-and-analytics/articles/10.3389/frma.2024.1364053 DOI=10.3389/frma.2024.1364053 ISSN=2504-0537 ABSTRACT=

This mini-review arrays the pertinent tools and purposes of “Tech Mining” – shorthand for empirical analyses of Science, Technology and Innovation (ST&I) data. The intent is to introduce the range of tools, and show how they can complement each other. Tech Mining aims to generate powerful intelligence to help manage R&D and innovation processes. We offer a 5-part array to help relate the analytical elements. An overview of a case study of Hybrid and Electric Vehicles illustrates the complexities involved and the potential to generate valuable “intel.”