Technology-driven mergers and acquisitions of Chinese acquirers

Development of a multi-dimensional framework for post-innovation performance

Journal Article (2018)
Author(s)

Xiao Zhou (Xidian University)

Liliana Mitkova (Universite Evry Paris)

Yi Zhang (University of Technology Sydney)

Lu Huang (Sustainable Develepoment Research Institute for Economy and Society of Beijing)

Scott Cunningham (TU Delft - Policy Analysis)

Lining Shang (Baidu com)

Huizhu Yu (Beijing Institute of Technology)

Kangrui Wang (Beijing Institute of Technology)

Research Group
Policy Analysis
DOI related publication
https://doi.org/10.1504/IJTM.2018.095759
More Info
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Publication Year
2018
Language
English
Research Group
Policy Analysis
Issue number
4
Volume number
78
Pages (from-to)
280-309

Abstract

While some studies have observed the beneficial impact of mergers and acquisitions (M&As) on a firm's innovation performance in developed countries, others have found the consequences to be neutral or even negative. This article develops an integrated framework to elucidate how the combination of technological relatedness and product relatedness between acquiring and target firms affects post-innovation performance of technology-driven M&As. This performance is investigated by using a set of parameters, namely R&D input, patent and product activity, and the financial results from commercialisation. We conducted case studies on China's high-tech firms derived from three diverse industry sectors, and the empirical results indicate that both types of relatedness between the partners of technology-driven M&As are conducive to the intensification of R&D expenditures. The acquisition of similar technologies and products has more significant effects on R and D input and output, and M&As without technology relatedness have better financial performance, since they lead acquirers to new technology sectors or sub-sectors. In comparison, M&As with technological complementarity and product complementarity have negative effects on related innovation processes in the short term.

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