Exploring Technology evolution pathways to facilitate Technology management: A study of Dye-sensitized solar cells (DSSCs)

Huang, Y; Zhu, F; Guo, Y; Porter, AL; Zhang, Y; Zhu, D

Exploring Technology evolution pathways to facilitate Technology management: A study of Dye-sensitized solar cells (DSSCs)

Huang, Y Zhu, F

Guo, Y Porter, AL Zhang, Y

Zhu, D

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Publication Type:: Conference Proceeding
Citation:: PICMET 2016 - Portland International Conference on Management of Engineering and Technology: Technology Management For Social Innovation, Proceedings, 2017, pp. 764 - 776
Issue Date:: 2017-01-04

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Field	Value	Language
dc.contributor.author	Huang, Y	en_US
dc.contributor.author	Zhu, F https://orcid.org/0000-0001-8089-4769	en_US
dc.contributor.author	Guo, Y	en_US
dc.contributor.author	Porter, AL	en_US
dc.contributor.author	Zhang, Y https://orcid.org/0000-0002-7731-0301	en_US
dc.contributor.author	Zhu, D	en_US
dc.date.available	2020-05-25T19:25:56Z
dc.date.issued	2017-01-04	en_US
dc.identifier.citation	PICMET 2016 - Portland International Conference on Management of Engineering and Technology: Technology Management For Social Innovation, Proceedings, 2017, pp. 764 - 776	en_US
dc.identifier.isbn	9781509035953	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125526
dc.description.abstract	© 2016 Portland International Conference on Management of Engineering and Technology, Inc. Market competition drives attention to the prospects of New and Emerging Science & Technologies (NESTs), which are fast changing and, so far, have relatively limited applications. Technology evolution pathways, as a powerful representation of the development of technology, have caught researchers' interest as a tool to trace historical progression, explore knowledge diffusion, and forecast future NESTs trends. Citation analysis approaches are actively applied to structure a large number of patents, map patent distribution, and capture knowledge transfer and change in technologies or industries. This paper (1) introduces the indicator of connectivity and modularity in the interior citation network to identify the technology development stage; (2) takes family patent information into the process of building a comprehensive patent citation network; (3) extracts technological trajectories by applying integrated approaches of main path analyses, namely global main path analysis and global key-route main analysis, among different technological stages. We illustrate this approach with Dye-sensitized solar cells (DSSCs), as an example of a promising NEST, contributing to the remarkable growth in the renewable energy industry. The results show how our method can trace the main development trajectory of a research field and discern the technology focus to help decision-makers facilitate technology management.	en_US
dc.relation.ispartof	PICMET 2016 - Portland International Conference on Management of Engineering and Technology: Technology Management For Social Innovation, Proceedings	en_US
dc.relation.isbasedon	10.1109/PICMET.2016.7806839	en_US
dc.title	Exploring Technology evolution pathways to facilitate Technology management: A study of Dye-sensitized solar cells (DSSCs)	en_US
dc.type	Conference Proceeding
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/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 Portland International Conference on Management of Engineering and Technology, Inc. Market competition drives attention to the prospects of New and Emerging Science & Technologies (NESTs), which are fast changing and, so far, have relatively limited applications. Technology evolution pathways, as a powerful representation of the development of technology, have caught researchers' interest as a tool to trace historical progression, explore knowledge diffusion, and forecast future NESTs trends. Citation analysis approaches are actively applied to structure a large number of patents, map patent distribution, and capture knowledge transfer and change in technologies or industries. This paper (1) introduces the indicator of connectivity and modularity in the interior citation network to identify the technology development stage; (2) takes family patent information into the process of building a comprehensive patent citation network; (3) extracts technological trajectories by applying integrated approaches of main path analyses, namely global main path analysis and global key-route main analysis, among different technological stages. We illustrate this approach with Dye-sensitized solar cells (DSSCs), as an example of a promising NEST, contributing to the remarkable growth in the renewable energy industry. The results show how our method can trace the main development trajectory of a research field and discern the technology focus to help decision-makers facilitate technology management.

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http://hdl.handle.net/10453/125526