Research on the Evolution Path of China’s Provincial Innovation Chain Model Based on Complex Network Model

By constructing a complex network analysis model, this paper analyzes the data of 31 selected provinces in China from 2010 to 2019, summarizes China’s provincial innovation chain development model, and then combined with the time series analyzes the evolution path of the model. The research shows that there is certain group proximity in China’s provincial innovation chain in each year, and there are eleven models in ten years. The evolution path of the provincial innovation chain development model is mainly manifested in the development trend of low-level to medium-level and then high-level equilibrium model. Increasing investment and improving efficiency are the leading driving force for the development of China’s provincial innovation chain. The medium-level equilibrium model runs through almost all years. Taking this as the node, the innovation driving force gradually changes from high investment to high efficiency.

Incentive strategy about technology innovation based on knowledge ecological coupling in strategic emerging industry

PurposeThe purpose of this paper is to solve the problem of low efficiency on knowledge resources allocation in the strategic emerging industry (SEI), an incentive model of technology innovation based on knowledge ecological coupling is designed.Design/methodology/approachFirst, a principal–agent model of knowledge inputs and a knowledge ecological coupling model based on an improved Lotka–Volterra model are constructed. In addition, a numerical example about Chongqing Yongchuan industrial park, the emulation analysis and the associated discussions are conducted to analyze the equilibriums of principal–agent in different knowledge inputs. Further, the paper analyzes the evolutionary equilibrium in knowledge ecological coupling and reveals the dual adjustments of the node organization on knowledge inputs.FindingsThus, this paper shows that by establishing the relationships of knowledge ecological coupling based on “mutualism and commensalism,” node organization raises the level of knowledge inputs; an incentive mode of “knowledge ecological coupling relationship + technology innovation chain” is conductive to substantially improving the efficiency of knowledge resource allocation, and to stimulate the vitality of node organization for technology innovation in the strategic emerging industry (SEI).Originality/valueThis paper contributes to the extant researches in two ways. First, this paper reveals the dual adjustments of the node organizations in inputting knowledge, which broadens the vision and borders of the researches on traditional knowledge management. The methods of the traditional principal–agent model and the knowledge input/output profit model are also expanded. Second, this paper verifies that applying the mode of “knowledge ecological coupling relationship + technology innovation chain” in practice is conducive to enhancing the efficiency of the cross-organizational knowledge allocation in the strategic emerging industry (SEI).

Study on coordination of industrial technology ambidextrous innovation in knowledge ecology spiral

Purpose Knowledge input development and innovation implementation are new features of industrial technology innovation. The purpose of this study is to find the process of coordination and ecological spiral in the ambidextrous innovation of industrial technology. Design/methodology/approach To design the model of industrial technology ambidextrous innovation based on knowledge ecology spiral, an input-output model of knowledge for ambidextrous innovation and a spiral model of knowledge ecology were constructed based on an improved Lotka-Volterra model. Then, the equilibriums in different knowledge inputs and the spiral evolution of knowledge ecology were analyzed. Finally, the ambidextrous coordination mechanism of the core organization was revealed. Findings By coordinating the knowledge inputs and the knowledge ecology spiral, enterprises extend the R&D investments in the innovation chain, which will facilitate the knowledge inputs of the exploitative and exploratory innovation. Implementing the ambidextrous coordination in the technology innovation chain and the knowledge ecology chain has the advantage of promoting knowledge inputs, mobility and ecological spiral. Meanwhile, it can achieve the “multi-source, integration and coordination” development of industrial technology innovation. Originality/value The two-element innovative knowledge input coordination model and the knowledge ecological spiral model based on the improved Lotka-Volterra model are constructed, which extends the modeling way of the traditional knowledge input-output profit model. It is expected to reduce the amount of knowledge input of a single member and provide theoretical reference for improving the efficiency of knowledge input by constructing the inter-dependent regenerative and inter-generative knowledge interaction.

Research on the Fusion Mechanism of Innovation Chain and Fund Chain in Strategic Emerging Industries

In order to achieve the fusion of innovation chain and fund chain in strategic emerging industries, improve industrial innovation performance, and realize capital appreciation, based on the connotation and structural characteristics of the two chains, this research analyzes and summarizes the fusion mechanism from three aspects, including the elements, the process of fusion as well as the law of evolution. After research, it is found that the fusion of the innovation chain and fund chain is to integrate on the basis of synergy, then, deepen the synergy and form a spiral system. Lastly, from the point of view of fusion elements, a strategy which can promote the incorporation of the two chains is proposed. This research can be regarded as a reference for the fusion development of the innovation chain and fund chain in strategic emerging industries.

Research on the construction mechanism of science and innovation corridor from the perspective of innovation chain

Based on the perspective of innovation chain, this paper takes Highway 128 and Guang-Shen Science and Technology Innovation Corridor as examples to explore the construction mechanism of science and technology innovation corridor. The findings are as follows: First, the corridor can be regarded as a virtual organization containing core nodes and auxiliary nodes. All nodes are not equal, and the core node plays the core function. Second, if the function of the core node is weakened, the science and innovation corridor will show a deterioration trend. Third, the construction of the science and innovation corridor is a process of the whole science and innovation chain from the flow and integration of knowledge resources, to the overflow of innovation incubation, and then to the market application. However, there are still problems in the chain, such as resource flow obstacles, innovation incubation breaks and structural imbalance. Therefore, in order to realize the benign interaction of multiple subjects in the science and innovation corridor, there needs to be a core subject that plays the role of agglomeration and diffusion, so as to realize the coordinated development of the corridor.

Multiple-case Research on University: Enterprise Innovation Chain ‘Fractures Repair’ in China

University-enterprise (U-E) innovation chain fractures hinder the commercialisation of knowledge. However, few contributions in the academic field have uncovered how certain mechanisms repair U-E innovation fractures and commercialise their research results. In order to bridge the research gap in the repair mechanism of U-E innovation chain fractures, a multiple-case study of U-E innovation fractures was conducted by proposing a ‘behaviour-process-outcomes’ repair model. The results are as follows: motivation coordination mechanism is the driving force that converges the goals of different organisations; organisation coordination mechanism is the platform that provides the basic support for the weak links and makes up for the defects of a single organisation; capability development and coordination is the element of U-E cooperation through a combination of basic and applied research capability, technological innovation capability and product commercialisation capability; policy coordination mechanism is the vehicle of U-E innovation chain that strengthens U-E cooperation with various preferential policies. The conclusion shows the ‘coordinated innovation’ repair model for U-E innovation chain fractures provides important insights for practitioners and policymakers involved in developing an innovation chain in U-E cooperation.

Research on the Internal Financing Mechanism in the Innovation Chain

It is of great significance to build an efficient and cooperative innovation system and support system under the background of China persisting in leading the development with innovation and speeding up the construction of an innovation-oriented country. The collaborative relationship and profit distribution of each innovation subject will be analyzed through the study of the innovation activity in the innovation chain. With consideration of the characteristics of the innovation chain such as high risk, financing difficulty, cooperative partnership and so on and using the internal financing mode of supply chain for reference, the game model of internal financing between members of the innovation chain will be established. The game equilibriums will be solved and analyzed, and the optimal equilibriums will be achieved by designing the contracts to establish the internal financing mechanisms in the innovative chain. For the risk asymmetry at each stage of the innovation chain, the contracts will be optimized to construct the risk sharing mechanism to control the risk of the internal financing in the innovation chain. In order to make innovations, this paper creates the financial support mode of the innovation chain, improves the innovation support system and increases the efficiency of the innovation chain.