DocumentCode :
1819962
Title :
The role of text mining of patent in Mergers and Acquisitions
Author :
Lu Huang ; Ying Guo ; Yanhua Zhao ; Yue Wang ; Porter, Alan L.
Author_Institution :
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
fYear :
2013
fDate :
July 28 2013-Aug. 1 2013
Firstpage :
2271
Lastpage :
2282
Abstract :
Technology strategy plays an increasingly important role in today´s Mergers and Acquisitions (M&A) activity, especially that aiming to obtain key technology capabilities. A big challenge that faces corporate managers and government policy makers is how to bring technology development prospects into play in order to help enterprises complement and strengthen their advantages. In this study, based on text mining of patents, we devise a method for extracting technology intelligence to facilitate M&A, focusing on potential targets by assessing technological synergy value for a firm. We present results pertaining to technology M&A in the field of numerical control systems in China.
Keywords :
business data processing; corporate acquisitions; data mining; patents; technology management; text analysis; China; M&A activity; corporate managers; government policy makers; mergers and acquisitions; numerical control systems; patent; technology development prospects; technology intelligence; technology strategy; text mining; Companies; Computer numerical control; Correlation; Market research; Patents; Technology management; Text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technology Management in the IT-Driven Services (PICMET), 2013 Proceedings of PICMET '13:
Conference_Location :
San Jose, CA
Type :
conf
Filename :
6641687
Link To Document :
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