Tech mining: a revisit and navigation.

Porter, AL; Zhang, Y; Newman, NC

Tech mining: a revisit and navigation.

Porter, AL Zhang, Y

Newman, NC

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Publisher:: Frontiers
Publication Type:: Journal Article
Citation:: Front Res Metr Anal, 2024, 9, pp. 1364053
Issue Date:: 2024

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Field	Value	Language
dc.contributor.author	Porter, AL
dc.contributor.author	Zhang, Y https://orcid.org/0000-0002-7731-0301
dc.contributor.author	Newman, NC
dc.date.accessioned	2024-08-06T03:34:20Z
dc.date.available	2024-04-11
dc.date.available	2024-08-06T03:34:20Z
dc.date.issued	2024
dc.identifier.citation	Front Res Metr Anal, 2024, 9, pp. 1364053
dc.identifier.issn	2504-0537
dc.identifier.issn	2504-0537
dc.identifier.uri	http://hdl.handle.net/10453/180134
dc.description.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."
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	Frontiers
dc.relation.ispartof	Front Res Metr Anal
dc.relation.isbasedon	10.3389/frma.2024.1364053
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Tech mining: a revisit and navigation.
dc.type	Journal Article
utslib.citation.volume	9
utslib.location.activity	Switzerland
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Australian Artificial Intelligence Institute (AAII)
utslib.copyright.status	recently_added	*
dc.date.updated	2024-08-06T03:34:15Z
pubs.publication-status	Published online
pubs.volume	9

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."

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/180134