Research on the Group Innovation Information-Sharing Strategy of the Industry–University–Research Innovation Alliance Based on an Evolutionary Game

Abstract

Based on various factors in information sharing between innovation alliance groups, this paper analyzes innovation information sharing under the influence of various factors and its evolutionary path to provide a reference for the decision-making of innovation information sharing between innovation alliance groups. Firstly, the paper analyzes the main factors influencing alliance group innovation information-sharing behavior. Secondly, based on the evolutionary game theory, an evolutionary game model of innovative information sharing under the cooperative trust degree of group decision-makers is constructed, and the related stable strategies are given. Finally, the sensitivity of innovative information-sharing strategies to key influencing factors is analyzed with the help of actual case data. The results show that a reasonable amount of innovation information sharing and fair profit distribution can improve the innovation information-sharing behavior among the industry–university–research alliance. Considering the trust degree of vertical partners, the alliance group pays more attention to the profit distribution ratio of collaborative innovation of the innovation alliance than the profit amount. When horizontal partner trust is considered, horizontal cooperation trust can promote information sharing among enterprises, universities, and research institutes in the short term but impedes information sharing among groups in the long term.

Seeds of Cross-Sector Collaboration: A Multi-Agent Evolutionary Game Theoretical Framework Illustrated by the Breeding of Salt-Tolerant Rice

“…Building on previous research, some scholars have constructed two-party evolutionary game models involving universities and enterprises as the main players in collaborative innovation, further analyzing these through numerical simulations [30][31][32][33]. However, these studies have not involved the government, which is a crucial participant in collaborative innovation.…”

Research on the mechanism of government-industry-university-research collaboration for cultivating innovative talent based on game theory

“…This model aims to improve overall performance [ 14 , 15 ]. However, when considering the interests of individual groups, the industry-university-research alliance may not always opt for collaboration, as these groups often prioritize fair distribution and maximizing benefits, and there exists a significant interdependence among individuals [ 16 ].…”

Effects of Search Strategies on Collective Problem-Solving

“…Moreover, numerous empirical studies have sought to comprehend the factors contributing to a team's success in collective problem-solving. These factors include group composition, encompassing considerations such as average intelligence, gender distribution, and diversity [30][31][32][33][34][35][36]; the dynamics of group communication [37][38][39][40][41]; the influence of organizational structures [42][43][44][45]; emotional and psychological behaviors exhibited within the group [46][47][48][49][50][51]; and the sharing of information [52][53][54][55][56][57].…”