The innovation ecosystem is a dynamic network system of competition and cooperation between entities and enterprises as the core in order to achieve value cocreation. Technology provides growth power for the innovation ecosystem, organization provides management support for the innovation ecosystem, and value has a guiding effect on the innovation ecosystem. From the perspective of technology-organization-value to study the sustainable development of the innovation ecosystem, build a system dynamics model, take the automotive industry innovation ecosystem as a research case, and find that technological elements have the most significant role in promoting innovation performance and organizational elements have a role in promoting economic benefits. Most notably, the coordinated adjustment of technological elements, organizational elements, and value elements is conducive to improving the innovation performance and economic benefits of the innovation ecosystem, and corresponding management measures are proposed from the dimensions of technology, organization, and value, which further promotes the sustainable development of the innovation ecosystem.

The integration of the new-generation information technology and the automobile manufacturing industry has significantly improved the production efficiency of the automobile manufacturing industry, but it will also increase the technology application cost of the automobile manufacturing industry. The boundary value of the income change of the automobile manufacturing industry can be obtained by examining the influence of new-generation information technology on the price of parts, the price of automobiles, and the quantity of production in the upstream and downstream of the automobile manufacturing industry chain. The study found that the benefit of the automobile manufacturing industry that meets the conditions of technology application costs has increased. The value added to the downstream enterprises in the industrial chain is greater than the value added to the upstream companies. The lower the cost of technology application, the greater the impact on the number of automobile production. In the end, an example is used to verify the reliability of the research results.

The establishment and improvement of an innovation ecosystem have become important issues in building an innovative powerhouse. Built on the background of innovation ecosystem, from the perspective of cooperative interaction and dynamics, this study introduces value co-creation and dynamic capabilities, and analyzes how the proximity between enterprises and scientific research organizations and between enterprises affects enterprise innovation performance. The results demonstrate that, on the one hand, the proximity between enterprises and scientific research organizations and between enterprises can directly have an inverted U-shaped effect on enterprise innovation performance. On the other hand, it can indirectly have an inverted U-shaped effect on enterprise innovation performance through the partial mediating effect of value co-creation. Dynamic capabilities play a major role in regulating the relationship between proximity and enterprise innovation performance, as well as value co-creation and enterprise innovation performance. The research results expand the research in the field of innovation ecosystems, reveal the marginal effect of value co-creation on enterprise innovation performance, and help enterprises in the system to clarify how to improve innovation performance through proximity strategies and value co-creation activities with scientific institutions and other enterprises.

Knowledge sharing can improve the efficiency of cooperation between firms as well as improve innovation performance. However, firms will incur some costs in the process of participating in knowledge sharing. Based on the theory of Stackelberg, by constructing corporate game models with and without knowledge sharing, this study analyzes the decision boundary of firms according to the benefit changes of firms with innovation alliances. Cooperative game theory is mainly used to solve the problem of benefit distribution. Shapley value is the most classic and fair benefit distribution method in this theory, which allocates cooperative benefit based on the marginal contribution. This study uses Shapley value to divide benefits so as to evaluate the stability of the alliance and explore when firms will share knowledge. The results show that the cooperation benefit of innovation alliances that meet the conditions for the knowledge sharing cost will increase. The lower the costs of knowledge sharing, the more the firms’ benefits increase. In addition, with knowledge sharing, the better the marketing effect is, the higher is the price of the new product. Increasing the benefits to each firm ensures the stability and continuity of knowledge sharing between the firms. Finally, the reliability of the theoretical research findings is assessed through a numerical example.