Identifying target for technology mergers and acquisitions using patent information and semantic analysis

Huang, L; Shang, L; Wang, K; Porter, A; Zhang, Y

Identifying target for technology mergers and acquisitions using patent information and semantic analysis

Huang, L Shang, L Wang, K Porter, A Zhang, Y

Permalink

Publisher:: Springer
Publication Type:: Chapter
Citation:: Anticipating Future Innovation Pathways Through Large Data Analysis, 2016, pp. 173 - 186
Issue Date:: 2016-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted ManuscriptAdobe PDF (500.6 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Huang, L	en_US
dc.contributor.author	Shang, L	en_US
dc.contributor.author	Wang, K	en_US
dc.contributor.author	Porter, A	en_US
dc.contributor.author	Zhang, Y https://orcid.org/0000-0002-7731-0301	en_US
dc.contributor.editor	Daim, T	en_US
dc.contributor.editor	Porter, A	en_US
dc.contributor.editor	Chiavetta, D	en_US
dc.contributor.editor	Saritas, O	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	Anticipating Future Innovation Pathways Through Large Data Analysis, 2016, pp. 173 - 186	en_US
dc.identifier.uri	http://hdl.handle.net/10453/41079
dc.description.abstract	Technology plays an increasingly important role in today’s enterprise competition. Technology mergers and acquisitions (Tech M&A), as an effective way to acquire the external technology resources rapidly, have attracted attention from researchers for their potential realization of value through synergy. A big challenge is how to identify appropriate targets to support the effective technology integration. In this study, we developed a model of target selection of Tech M&A from the perspective of technology relatedness and R&D capability. We present results for the Tech M&A case in China’s cloud computing industry	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	Anticipating Future Innovation Pathways Through Large Data Analysis	en_US
dc.relation.isbasedon	10.1007/978-3-319-39056-7_10	en_US
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in Anticipating Future Innovation Pathways Through Large Data Analysis. The final authenticated version is available online at: https://dx.doi.org/10.1007/978-3-319-39056-7_10.	en_US
dc.title	Identifying target for technology mergers and acquisitions using patent information and semantic analysis	en_US
dc.type	Chapter
utslib.location	Germany	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	open_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Germany	en_US
pubs.publication-status	Published	en_US

Abstract:

Technology plays an increasingly important role in today’s enterprise competition. Technology mergers and acquisitions (Tech M&A), as an effective way to acquire the external technology resources rapidly, have attracted attention from researchers for their potential realization of value through synergy. A big challenge is how to identify appropriate targets to support the effective technology integration. In this study, we developed a model of target selection of Tech M&A from the perspective of technology relatedness and R&D capability. We present results for the Tech M&A case in China’s cloud computing industry

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

http://hdl.handle.net/10453/41079