Triple Helix innovation in China's dye-sensitized solar cell industry: Hybrid methods with semantic TRIZ and technology roadmapping

Zhang, Y; Zhou, X; Porter, AL; Gomila, JMV; Yan, A

Triple Helix innovation in China's dye-sensitized solar cell industry: Hybrid methods with semantic TRIZ and technology roadmapping

Zhang, Y

Zhou, X Porter, AL

Gomila, JMV Yan, A

Permalink

Publication Type:: Journal Article
Citation:: Scientometrics, 2014, 99 (1), pp. 55 - 75
Issue Date:: 2014-01-01

Closed Access

	Filename	Description	Size
	10.1007%2Fs11192-013-1090-9.pdf	Published Version	952.93 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zhang, Y https://orcid.org/0000-0002-7731-0301	en_US
dc.contributor.author	Zhou, X	en_US
dc.contributor.author	Porter, AL https://orcid.org/0000-0002-4520-6518	en_US
dc.contributor.author	Gomila, JMV	en_US
dc.contributor.author	Yan, A	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Scientometrics, 2014, 99 (1), pp. 55 - 75	en_US
dc.identifier.issn	0138-9130	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118850
dc.description.abstract	In recent years, the Triple Helix model has identified feasible approaches to measuring relations among universities, industries, and governments. Results have been extended to different databases, regions, and perspectives. This paper explores how bibliometrics and text mining can inform Triple Helix analyses. It engages Competitive Technical Intelligence concepts and methods for studies of Newly Emerging Science & Technology (NEST) in support of technology management and policy. A semantic TRIZ approach is used to assess NEST innovation patterns by associating topics (using noun phrases to address subjects and objects) and actions (via verbs). We then classify these innovation patterns by the dominant categories of origination: Academy, Industry, or Government. We then use TRIZ tags and benchmarks to locate NEST progress using Technology Roadmapping. Triple Helix inferences can then be related to the visualized patterns. We demonstrate these analyses via a case study for dye-sensitized solar cells. © 2013 Akadémiai Kiadó, Budapest, Hungary.	en_US
dc.relation.ispartof	Scientometrics	en_US
dc.relation.isbasedon	10.1007/s11192-013-1090-9	en_US
dc.subject.classification	Science Studies	en_US
dc.title	Triple Helix innovation in China's dye-sensitized solar cell industry: Hybrid methods with semantic TRIZ and technology roadmapping	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	99	en_US
utslib.for	0807 Library and Information Studies	en_US
utslib.for	1605 Policy and Administration	en_US
pubs.embargo.period	Not known	en_US
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 - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	99	en_US

Abstract:

In recent years, the Triple Helix model has identified feasible approaches to measuring relations among universities, industries, and governments. Results have been extended to different databases, regions, and perspectives. This paper explores how bibliometrics and text mining can inform Triple Helix analyses. It engages Competitive Technical Intelligence concepts and methods for studies of Newly Emerging Science & Technology (NEST) in support of technology management and policy. A semantic TRIZ approach is used to assess NEST innovation patterns by associating topics (using noun phrases to address subjects and objects) and actions (via verbs). We then classify these innovation patterns by the dominant categories of origination: Academy, Industry, or Government. We then use TRIZ tags and benchmarks to locate NEST progress using Technology Roadmapping. Triple Helix inferences can then be related to the visualized patterns. We demonstrate these analyses via a case study for dye-sensitized solar cells. © 2013 Akadémiai Kiadó, Budapest, Hungary.

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

http://hdl.handle.net/10453/118850