Drawing on the configuration argument of strategic fit – i.e., an effective alignment of a firm's strategy with its environment, internal structures, and processes – and the resource-based view, this paper clarifies the impact of alliance strategy, alliance management resources, and alliance management capabilities on innovation performance in collaborative ventures. This study of 441 collaborative ventures in the electronics industry offers empirical support for the configuration argument. First, greater alliance strategy formalization influences innovation performance directly and indirectly. Alliance management capabilities – that reflect organizational routines to implement an alliance strategy – partially mediate this effect. Second, alliance management capabilities leverage alliance management resources in that the effect of the former on innovation performance is moderated by the latter. Furthermore, greater innovation strategy formalization affects innovation performance and moderates the direct effect of alliance strategy formalization on innovation performance; an effect that increases with technological uncertainty.

Using the meta-analysis technique, this research comprehensively reviews the existing open innovation (OI) literature, systematically aggregates empirical findings on the impact of OI on performance to identify key moderators and statistically tests the significance of these moderators in influencing the OI–performance relationship. Based on a comprehensive dataset of 2,377,123 firms and sub-firm units in 171 studies published from 2003 to 2018, this research demonstrates that the OI–performance relationship is significantly moderated by three key factors: performance measure, OI approach, and level of analysis. This research helps explain the conflicting findings regarding the OI–performance relationship in the existing literature, and contributes to the understanding of the effectiveness of OI practice.

This study uses a sample of technological mergers and acquisitions (M&As) of A-share listed companies in the five major high-tech industries from 2012 to 2016, and conducts factor analysis to measure the heterogeneity of these enterprises in terms of financial slack resources, equity resources, and governance structure. On this basis, multivariate regression analysis is utilized to explore the influence of the acquiring firms' heterogeneity on their innovation performance, and the adjustment action of absorptive capacity between heterogeneity and innovation performance. The research results show that the slack financial resources and highly centralized equity structure of enterprises are not conducive to enterprises improving their innovation performance following a technological M&A, while the impact of governance structure on innovation performance following an M&A is similarly not significant. The empirical evidence provided offer insights and a decision reference for technological M&As of high-tech enterprises.

Although previous studies have considered the antecedents and outcomes of absorptive capacity, much remains to be learned on this subject. Firms need to absorb breadth and depth of knowledge and form absorptive capacities that are contingent on various social capitals to improve innovation and performance. The purpose of this study is to explore the antecedents and outcomes of the breadth and depth of absorptive capacity from the perspective of social capital theory. Based on a sample of 218 Chinese firms, empirical results suggest that weak tie sources and knowledge breadth can enhance the breadth of absorptive capacity, and that strong tie sources and knowledge depth can strengthen the depth of absorptive capacity. The results also suggest that the breadth of absorptive capacity positively impacts the depth of absorptive capacity, and that both breadth and depth of absorptive capacity are positively related to innovation performance.

This research analyses the effects of the knowledge overlap between acquirer and target firms on the performance of technological mergers and acquisitions (M&As). Extending previous research that has focused on the quantitative characteristics of knowledge, this research introduces a framework capturing the effects of both the quantity and quality of knowledge in overlapped and nonoverlapped parts of the knowledge base on subsequent innovation performance. Analyzing a data set of 192 technological M&As of 162 high-technology firms from 2001 to 2009, the results show that a high quality of overlapped knowledge has a positive effect on subsequent innovation performance, while the effect is negative for nonoverlapped knowledge quality. In addition, this research investigates the influence of the knowledge quantity on subsequent innovation performance. The implication of this research is that the knowledge overlap in technological M&As is essential for acquiring high-quality knowledge from the target firm and for improving innovation performance.

This article investigated how collectivism-oriented human resource management can influence on innovation performance through team reflexivity and team psychological safety. Using a sample of 200 research-oriented teams in Chinese universities, the empirical results clearly indicate that collectivism-oriented human resource management is beneficial to teams’ innovation performance. The results of the mediating model show how team reflexivity and team psychological safety mediate the relationship between collectivism-oriented human resource management and innovation performance. The implications for researchers and practitioners are also discussed.