How does disruptive innovation influence firm performance? A moderated mediation model

PurposeBased on the literature on disruptive innovation, this research explores how disruptive innovation directly and indirectly (via innovation speed and innovation quality) influences firm performance in relation to the contingency of market-supporting institutions.Design/methodology/approachA sample of 207 firms was gathered through questionnaires targeting senior managers and R&D managers from high-tech firms in China with two waves including explanatory variables and outcome variables.FindingsThis empirical results indicate that disruptive innovation positively affects firm performance, and that innovation speed and innovation quality mediate the relationship between disruptive innovation and firm performance. Meanwhile, market-supporting institutions positively moderate the relationship between innovation speed and firm performance, but negatively moderate the relationship between innovation quality and firm performance.Research limitations/implicationsThis study suggests that disruptive innovation is important to firm performance, innovation speed and innovation quality play mediating roles, and market-supporting institutions acts as moderating effects. A research limitation is that the data were collected mainly through a questionnaire.Practical implicationsFirms should incorporate disruptive innovation as an important strategy and improve innovation speed and innovation quality to promote firm performance, and policymakers should improve the levels of market-supporting institutions to facilitate innovation and performance.Originality/valueThis study contributes the literature of disruptive innovation by uncovering the positive effect of disruptive innovation and firm performance and the mediating effects of innovation speed and innovation quality on the abovementioned relationship, and revealing their contingency effects of market-supporting institutions.

OFDI Entry Modes and Firms’ Innovation: Evidence from Chinese A-Share Listed Firms

Innovation is crucial for firms’ sustainable development. However, the original motivation of innovation in China is insufficient and the key technology is controlled by other countries. Outward foreign direct investment (OFDI) is an important strategic choice in emerging economies to seek overseas advantageous technical knowledge and to participate in global competition. With the further development of China’s “go global” strategy, OFDI flows have risen considerably. Whether OFDI can promote firms’ innovation levels and whether OFDI entry modes (greenfield investment and cross-border M&A) have the same impact are still major issues to be solved. Therefore, we constructed a mathematical model and adopted the propensity score matching double difference method to analyze the impact and mechanism of OFDI on firms’ innovation. The results show that OFDI has a significant effect on innovation quantity, quality, and efficiency, and it has not led to innovative strategic behavior. Further research shows that cross-border M&A has a stronger effect on innovation quality than greenfield investment, and both have a sustainable innovation effect. Over time, the gap between the impact of greenfield investment and cross-border M&A on innovation quality has gradually narrowed. From the perspective of mechanism, the two entry modes of OFDI are beneficial to firms’ access to government resources and to promote innovation quality, while government resources have a stronger mediating effect on cross-border M&A firms. This paper deepens the research on the influence mechanism of OFDI entry modes on firms’ innovation levels, while also providing theoretical and practical support for the selection of OFDI modes and innovation strategies for firms.

Research on the Impact of Government R&D Funding on Regional Innovation Quality: Analysis of Spatial Durbin Model Based on 283 Cities in China

Based on the perspective of the regional innovation system, this study constructs an analytical framework for the influence of government R&D funding on regional innovation quality and uses 283 Chinese cities as research samples to empirically test the influence of government R&D funding methods such as subsidies and tax preferences on regional innovation quality by the spatial Durbin model. According to the study, China’s regional innovation quality has a positive spatial correlation. Subsidies can improve regional innovation quality, which is mainly realized by increasing the input of innovation resources from local direct innovation subjects, attracting the inflow of innovation resources from neighboring areas, and increasing the innovation support from local indirect innovation subjects. Besides, spatial competition for subsidies makes it beneficial to improve the regional innovation quality in neighboring regions, while the promotion effect of tax preferences is not significant. When considering the heterogeneity of the city location and administrative hierarchy, it shows that the government R&D funding cannot improve the innovation quality of the Eastern cities and higher-administrative-hierarchy cities, while it can improve that of the Middle and Western cities and general-administrative-hierarchy cities. Furthermore, government R&D funding widens the gap of regional innovation quality, which may be related to the existing “insufficient intervention” and “excessive intervention” of government R&D funding. This study provides insights into the implementation of R&D funding by the government to promote the development of regional innovation quality.