Identifying Targets for Technology Mergers and Acquisitions Using Patent Information and Semantic Analysis

Lu Huang (), Lining Shang, Kangrui Wang, Alan L. Porter and Yi Zhang
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Lu Huang: Beijing Institute of Technology
Lining Shang: Beijing Institute of Technology
Kangrui Wang: Beijing Institute of Technology
Alan L. Porter: Georgia Institute of Technology, Technology Policy & Assessment Ctr.
Yi Zhang: Beijing Institute of Technology

Chapter Chapter 10 in Anticipating Future Innovation Pathways Through Large Data Analysis, 2016, pp 173-186 from Springer

Abstract: 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.

Keywords: Technology merger and acquisition; Patent analysis; Semantic analysis; Cloud computing (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-39056-7_10

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