A patent analysis method to trace technology evolutionary pathways

Zhou, X; Zhang, Y; Porter, AL; Guo, Y; Zhu, D

A patent analysis method to trace technology evolutionary pathways

Zhou, X Zhang, Y

Porter, AL

Guo, Y Zhu, D

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Publication Type:: Journal Article
Citation:: Scientometrics, 2014, 100 (3), pp. 705 - 721
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Zhou, X	en_US
dc.contributor.author	Zhang, Y https://orcid.org/0000-0002-7731-0301	en_US
dc.contributor.author	Porter, AL https://orcid.org/0000-0002-4520-6518	en_US
dc.contributor.author	Guo, Y	en_US
dc.contributor.author	Zhu, D	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Scientometrics, 2014, 100 (3), pp. 705 - 721	en_US
dc.identifier.issn	0138-9130	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118848
dc.description.abstract	Increased competition due to rapid technological development pushes all participants in the market to focus on the prospect of New and Emerging Science & Technologies (NESTs). One promising NEST, dye-sensitized solar cells (DSSCs), has attracted attention in recent years. We focus on three research questions: how can we estimate DSSCs research activity trends; how can we identify DSSCs market expansion patterns; and, seeking to identify potential subsystems, what are the likely evolutionary paths of DSSCs development? In this paper, patent analysis is applied to help determine the developmental stage of a particular technology and trace its potential evolutionary pathways. In addition, since patent information can reflect commercial degree, we use patent transfer patterns to help evaluate market shift prospects. © 2014 Akadémiai Kiadó, Budapest, Hungary.	en_US
dc.relation.ispartof	Scientometrics	en_US
dc.relation.isbasedon	10.1007/s11192-014-1317-4	en_US
dc.subject.classification	Science Studies	en_US
dc.title	A patent analysis method to trace technology evolutionary pathways	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	100	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	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	100	en_US

Abstract:

Increased competition due to rapid technological development pushes all participants in the market to focus on the prospect of New and Emerging Science & Technologies (NESTs). One promising NEST, dye-sensitized solar cells (DSSCs), has attracted attention in recent years. We focus on three research questions: how can we estimate DSSCs research activity trends; how can we identify DSSCs market expansion patterns; and, seeking to identify potential subsystems, what are the likely evolutionary paths of DSSCs development? In this paper, patent analysis is applied to help determine the developmental stage of a particular technology and trace its potential evolutionary pathways. In addition, since patent information can reflect commercial degree, we use patent transfer patterns to help evaluate market shift prospects. © 2014 Akadémiai Kiadó, Budapest, Hungary.

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http://hdl.handle.net/10453/118848