Text mining to gain technical intelligence for acquired target selection: A case study for China's computer numerical control machine tools industry

Ma, T; Zhang, Y; Huang, L; Shang, L; Wang, K; Yu, H; Zhu, D

Text mining to gain technical intelligence for acquired target selection: A case study for China's computer numerical control machine tools industry

Ma, T Zhang, Y

Huang, L Shang, L Wang, K Yu, H Zhu, D

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Publication Type:: Journal Article
Citation:: Technological Forecasting and Social Change, 2017, 116 pp. 162 - 180
Issue Date:: 2017-03-01

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Field	Value	Language
dc.contributor.author	Ma, T	en_US
dc.contributor.author	Zhang, Y https://orcid.org/0000-0002-7731-0301	en_US
dc.contributor.author	Huang, L	en_US
dc.contributor.author	Shang, L	en_US
dc.contributor.author	Wang, K	en_US
dc.contributor.author	Yu, H	en_US
dc.contributor.author	Zhu, D	en_US
dc.date.available	2020-05-25T19:15:39Z
dc.date.issued	2017-03-01	en_US
dc.identifier.citation	Technological Forecasting and Social Change, 2017, 116 pp. 162 - 180	en_US
dc.identifier.issn	0040-1625	en_US
dc.identifier.uri	http://hdl.handle.net/10453/58742
dc.description.abstract	© 2016 Elsevier Inc. Technology strategy plays an increasingly important role in today's Mergers and Acquisitions (M&A) activities. Informing that strategy with empirical intelligence offers great potential value to R&D managers and technology policy makers. This paper proposes a methodology, based on patent analysis, to extract technical intelligence to identify M&A target technologies and evaluate relevant target companies to facilitate M&A target selection. We apply the term clumping process and a trend analysis together with policy and market information to profile present R&D status and capture future development signals and trends in order to grasp a range of significant domain-based technologies. Furthermore, a comparison between a selected acquirer and leading players is used to identify significant technologies and sub-technologies for specific strategy-oriented technology M&A activities. Finally, aiming to recommend appropriate M&A target companies, we set up an index-based system to evaluate the acquired target candidates from both firms-side perspective and target firm-side perspective and differentially weigh for specific M&A situations. We provide an empirical study in the field of computer numerical control machine tools (CNCMT) in China to identify technology M&A targets for an emerging Chinese CNCMT company — Estun Automation under different M&A strategies.	en_US
dc.relation.ispartof	Technological Forecasting and Social Change	en_US
dc.relation.isbasedon	10.1016/j.techfore.2016.10.061	en_US
dc.subject.classification	Science Studies	en_US
dc.title	Text mining to gain technical intelligence for acquired target selection: A case study for China's computer numerical control machine tools industry	en_US
dc.type	Journal Article
utslib.citation.volume	116	en_US
utslib.for	1003 Industrial Biotechnology	en_US
utslib.for	1402 Applied Economics	en_US
utslib.for	1501 Accounting, Auditing and Accountability	en_US
utslib.for	10 Technology	en_US
utslib.for	14 Economics	en_US
utslib.for	15 Commerce, Management, Tourism and Services	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.publication-status	Published	en_US
pubs.volume	116	en_US

Abstract:

© 2016 Elsevier Inc. Technology strategy plays an increasingly important role in today's Mergers and Acquisitions (M&A) activities. Informing that strategy with empirical intelligence offers great potential value to R&D managers and technology policy makers. This paper proposes a methodology, based on patent analysis, to extract technical intelligence to identify M&A target technologies and evaluate relevant target companies to facilitate M&A target selection. We apply the term clumping process and a trend analysis together with policy and market information to profile present R&D status and capture future development signals and trends in order to grasp a range of significant domain-based technologies. Furthermore, a comparison between a selected acquirer and leading players is used to identify significant technologies and sub-technologies for specific strategy-oriented technology M&A activities. Finally, aiming to recommend appropriate M&A target companies, we set up an index-based system to evaluate the acquired target candidates from both firms-side perspective and target firm-side perspective and differentially weigh for specific M&A situations. We provide an empirical study in the field of computer numerical control machine tools (CNCMT) in China to identify technology M&A targets for an emerging Chinese CNCMT company — Estun Automation under different M&A strategies.

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http://hdl.handle.net/10453/58742