Research on Cooperative Innovation Strategy of Multi-Agent Enterprises Considering Knowledge Innovation and Environmental Social Responsibility

Abstract

Based on the context of enterprise green innovation ecosystem, this paper discusses the decision-making of knowledge innovation and environmental social responsibility in the multi-agent enterprise R&D innovation system that is composed of core enterprises and satellite enterprises, and it provides a new perspective for comprehensively improving enterprise innovation ability. By using differential game method and considering the joint influence of knowledge innovation and environmental social responsibility, this paper analyzes the cooperative innovation of multi-agent enterprises under a dynamic framework and discusses the decision-making process and optimal returns of core enterprises and satellite enterprises under centralized decision, decentralized decision and Stackelberg master-slave game modes. The conclusions are as follows: (1) When multi-entity enterprise R&D and innovation system moderately fulfill their environmental social responsibilities, their income increases significantly, and the green innovation capability of green innovation ecosystem is enhanced effectively; (2) When the profit ratio of core enterprises is controlled above 1/3, and the subsidy rate of government on satellite enterprises is controlled below 2/3, the green innovation ecosystem is in a balanced state, and the innovation initiative of multi-agent enterprises reaches a high level; (3) Under centralized decision making, the revenue proportion of core enterprises decreases, but the overall revenue of R&D innovation system reaches the Pareto optimum. Finally, the differential game decision-making process is analyzed with an example to verify the validity of the model conclusion, which provides a scientific basis for the knowledge innovation decision of multi-agent enterprise R&D innovation system in the green innovation ecosystem and accelerates the process of carbon neutrality.INDEX TERMS Carbon neutral, green innovation ecosystem, knowledge innovation, environmental social responsibility, differential game.

Green innovation ecosystem and water performance in the food service industry: The effects of environmental management controls and digitalization

“…Except for the work of Estrada et al (2016), which investigates the bilateral relationship between firms and universities in GI, there is limited knowledge on how and to what extent the GIE can assist FSI firms in implementing innovative digital tools for environmental sustainability. Hence, drawing on extant research (e.g., Esposito et al, 2022; Qin et al, 2022; Yi & Zhang, 2022), our analysis advances the knowledge concerning multiagent cooperation within the GIE by including the following agents: firms and their suppliers, competitors, associations, customers, universities, governments, and the natural environment. Our results show that the GIE positively affects the digitalization of firms, thus confirming H1a.…”

“…Recent research (e.g., Fan et al, 2022) (e.g., Esposito et al, 2022;Qin et al, 2022;Yi & Zhang, 2022), our analysis advances the knowledge concerning multiagent cooperation within the GIE by including the following agents: firms and their suppliers, competitors, associations, customers, universities, governments, and the natural environment. Our results show that the GIE positively affects the digitalization of firms, thus confirming H1a.…”

Incentive strategy of dual innovation balance in green manufacturing innovation ecosystem: Based on hierarchical structure of innovation subject

“…Based on the above model analysis, the optimal level of effort, the optimal return, and the optimal return of the innovation ecosystem as a whole of the three types of innovation subjects in different innovation equilibrium scenarios depend on the parameter assignment. Combining the parameter assignment logic of scholars [ 43 ] and referring to the indicator data on the green manufacturing industry in National Bureau of Statistics, the main variables are the number of innovation subjects such as industrial enterprises, universities, research institutes, and other variables represent the number of the application layer, the research layer, and the support layer; variables such as R&D expenditures of industrial enterprises represent the dual innovation balance costs of exploratory and exploitative innovation; and variables such as innovation technology facilities and industrial pollution inputs represent the green manufacturing environment. On this basis, the data are processed to simplify them to the same order of magnitude.…”

Research on risk management incentive strategy based on the green financial ecosystem

“…The outcomes of innovators, green financial institutions and regulators in terms of their respective levels of green input efforts, returns, and overall returns to the green financial ecosystem under the three contracts depend on the parameter assignments. Combined with the parameter assignment logic of scholars [ 30 ], and based on the constraints of the model, the range of parameter values and the actual situation of the green financial market, the parameter values are given, and the results of the model are compared by way of arithmetic example analysis to verify the research conclusions. The parameter assignments in this paper are shown in Table 1 .…”

“…Substitute Eq (30) into Eq (31), and solve the right-hand part to maximize it under the condition that Eq (31) takes the first partial derivative concerning E R , θ and σ equal to zero and obtains:…”