Impact of Cooperative Innovation on the Technological Innovation Performance of High-Tech Firms: A Dual Moderating Effect Model of Big Data Capabilities and Policy Support.

The mechanism of cooperative innovation (CI) for high-tech firms aims to improve their technological innovation performance. It is the effective integration of the internal and external innovation resources of these firms, along with the simultaneous reduction in the uncertainty of technological innovation and the maintenance of the comparative advantage of the firms in the competition. This study used 322 high-tech firms as our sample, which were located in 33 national innovation demonstration bases identified by the Chinese government. We implemented a multiple linear regression to test the impact of CI conducted by these high-tech firms at the level of their technological innovation performance. In addition, the study further examined the moderating effect of two boundary conditions-big data capabilities and policy support (PS)-on the main hypotheses. Our study found that high-tech firms carrying out CI can effectively improve their technological innovation performance, with big data capabilities and PS significantly enhancing the degree of this influence. The study reveals the intrinsic mechanism of the impact of CI on the technological innovation performance of high-tech firms, which, to a certain extent, expands the application context of CI and enriches the research perspective on the impact of CI on the innovation performance of firms. At the same time, the findings provide insight for how high-tech firms in the digital era can make reasonable use of data empowerment in the process of CI to achieve improved technological innovation performance.

The impact of entrepreneurs' cognitive flexibility on the business performance of New Ventures: an empirical study based on Chinese New Ventures.

We developed a "thinking-behavior-outcome" logical framework to explore the effect of entrepreneurs' cognitive flexibility on dual innovation and the performance of new ventures, drawing on social cognitive theory, and collected data from a sample of 293 new ventures through a questionnaire to conduct an empirical analysis. We find that entrepreneurs' cognitive flexibility may indirectly affect the performance of new ventures by influencing their dual innovation activities; resource management capabilities positively moderate the relationship between entrepreneurs' cognitive flexibility and dual innovation. In addition, our study demonstrates that dual innovation equilibrium has a stronger effect on the performance of new ventures than single-dimensional innovation activities. Our study highlights the importance of entrepreneurial cognitive flexibility for new ventures to implement innovation strategies and improve performance. The findings not only help to clarify the relationship between entrepreneurs' cognitive flexibility and new venture performance and to enrich social cognitive theory, but they also provide new perspectives on responses to enhance dual innovation capabilities of new ventures under the influence of COVID-19. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-022-03532-x.