What Factors Affect the Innovation Performance of Cross-border Technology M&A Enterprises?

Abstract

Cross-border technology M&A is recognized as an important strategic decision for enterprises to acquire advanced technologies and establish international competitive advantages. However, existing research does not explain how cross-border technology M&A enterprises can obtain high innovation performance under the influence of different factors. This study uses the fuzzy set qualitative comparative analysis (fsQCA) method to construct an antecedent conditional configuration model of innovation performance after cross-border technology M&A. The configurations consist of five influencing factors, three at enterprise level (knowledge base, R&D investment, relative technology scale) two at institutional level (host country institutional quality, diplomatic relations), and this study analyses how they combine to influence innovation performance after cross-border technology M&A.