Formation mechanism for integrated innovation network among strategic emerging industries: Analytical and simulation approaches

It is necessary to study the evolution process and the periodicity of the integrated innovation network among strategic emerging industries (SEIs) to improve the network operation efficiency and the overall innovation performance of the industry. Therefore, firstly, we analyze the characteristics of the integrated innovation network among SEIs and the B-Z (Belousov-Zhabotinsky) reaction model. Then, the applicability of the B-Z reaction model to the innovation network is discussed. Secondly, we propose a three-dimensional dynamic evolutionary model of integrated innovation potential, network structure embeddedness and integrated innovation performance and present an empirical simulation analysis. Finally, the integration of Huawei and new energy vehicle enterprises is used as a case study for verification and analysis. According to the results, firstly, the higher the level of external support, the faster the improvement of integrated innovation potential, which shows a distinct trend of rapid synergistic growth with integrated innovation performance. However, improving the network structure embeddedness through external support is more difficult. Secondly, in the time dimension, the development trend of convergence innovation potential and system evolution is an inverted Ushaped curve. Thus, the innovation subject should take appropriate measures according to the industrial growth stage. Thirdly, different SEIs have markedly heterogeneous evolution paths of system advancement, so each subject should make reasonable decisions according to its own integrated innovation potential level and external support threshold. The research results are verified by analyzing Huawei's integration with the new-energy vehicle industry as a case study, and the results are expected to provide a theoretical basis for enterprise decision making. By referring to the conclusions of this paper, the government can formulate targeted industrial policies based on the status quo of industrial development.

Automated summary

Studying the integrated innovation network among SEIs, evaluating the characteristics and applicability of the B-Z reaction model, proposing a dynamic evolutionary model, and analyzing the distinct evolutionary paths of different SEIs in terms of integrated innovation potential and external support thresholds. The research provides insights for enterprise decision making and the government in formulating industrial policies.