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

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