A Dynamic Evolutionary Game Model of Collaborative Innovation in Manufacturing Services Industry and Manufacturing Industry

Abstract

Collaborative innovation has a significant impact on the efficiency of manufacturing services and manufacturing innovation. In this paper, a collaborative innovation model of manufacturing services and manufacturing is constructed based on the two-dimensional asymmetric evolutionary game basic model. The stable evolution strategy of the model is to be found through the solutions to the replicator dynamic differential equation of both sides of the game. The results show that on the one hand, producer services can rely on the carrier of knowledge capital and human capital to link to the manufacturing process from front to back, and form the forward and backward spillover effect. On the other hand, the knowledge elements in producer services, especially tacit knowledge, are transmitted through the modern network under the common industrial culture atmosphere in the process of continuous industrial interaction and industrial integration, which can promote the sharing and transfer of knowledge, produce interactive innovation, and finally promote the innovation of value chain.

A three evolutionary game model for driving mechanism of industry-university-research collaborative innovation in agricultural innovation ecosystems

“…Under the role of common value identity, the interaction activities related to collaborative innovation between innovation subjects around industry-university-research will increase, and through continuous interaction and feedback more relationships, resources and networks will be integrated to reconstruct new ways of value creation and realize the virtuous cycle operation of agricultural innovation ecosystem under the guidance of value co-creation [13]. It can be seen that industry-university-research collaborative innovation and value co-creation are the core characteristics that distinguish the agricultural innovation ecosystem from other ecosystems [14].The collaborative efforts of industry, academia and research, which are integrated in the common demand of value co-creation, will promote the sustainable and dynamic evolution of the agricultural innovation ecosystem [15]. Therefore, expanding the boundaries of industry-university-research collaborative innovation organizations, building an open and dynamic agricultural innovation ecosystem, and increasing the frequency of interaction among innovation subjects and the addition of new elements will essentially enhance the agricultural independent innovation capacity.…”