Tech mining: a revisit and navigation

Alan L. Porter; Alan L. Porter; Yi Zhang; Nils C. Newman

doi:10.3389/frma.2024.1364053

Frontiers in Research Metrics and Analytics (Apr 2024)

Tech mining: a revisit and navigation

Alan L. Porter,
Alan L. Porter,
Yi Zhang,
Nils C. Newman

Affiliations

Alan L. Porter: Search Technology, Inc., Peachtree Corners, GA, United States
Alan L. Porter: Technology Policy and Assessment Center, Georgia Institute of Technology, Atlanta, GA, United States
Yi Zhang: Faculty of Engineering and Information Technology, Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia
Nils C. Newman: Search Technology, Inc., Peachtree Corners, GA, United States

DOI: https://doi.org/10.3389/frma.2024.1364053
Journal volume & issue: Vol. 9

Abstract

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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.”

Published in Frontiers in Research Metrics and Analytics

ISSN: 2504-0537 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Bibliography. Library science. Information resources
Website: http://journal.frontiersin.org/journal/research-metrics-and-analytics

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