Collaboration and innovation among entities within high-tech industrial clusters are fundamental for establishing and augmenting their competitiveness, as well as ensuring the resilience and security of their supply chains. The article examines the adaptive evolution of value co-creation behavior among cluster enterprises by considering the interplay of various network attributes. It develops a stochastic evolution game model to analyze the interactive value co-creation behavior and performs a dynamic evolution simulation analysis. The study's findings indicate a critical threshold for the enhancement of knowledge complementarity and specialization superposition, which fosters the interactive coupling value co-creation behavior among cluster enterprises. This phenomenon exhibits an “inverted U-shaped” evolutionary pattern, initially promoting and subsequently suppressing such behavior. Notably, the critical threshold for specialization superposition is significantly lower than that for knowledge complementarity. Additionally, an increase in relationship strength can enhance the high interactive coupling value co-creation behavior of cluster enterprises. The enhancement of relational strength can result in significant interactive coupling and value co-creation among cluster enterprises; however, environmental random interference factors will not influence the final outcomes but will complicate the interactive coupling process among these enterprises. The government, in formulating adaptive policies for cluster innovation, should emphasize the enhancement of knowledge ecological niches within cluster enterprises, bolster specialization in industry segments, facilitate the establishment of interconnected industrial value chains, and foster trusting networks among cluster enterprises. This approach aims to mitigate the impact of environmental random interference factors, thereby promoting efficient interactive coupling and value co-creation among cluster enterprises. The interactive coupling value of co-creative activity among cluster firms can be effectively and continually developed.
Ou et al. (Wed,) studied this question.