School of Management, Beijing Union University, Beijing, China.
PLoS One. 2023 Jun 8;18(6):e0286730. doi: 10.1371/journal.pone.0286730. eCollection 2023.
In the innovation ecosystem, the knowledge-based game behavior of each subject not only pertains to its own survival and development but also affects evolution of the innovation ecosystem. The present study investigates the choice of government's regulation strategy, leading firms' innovation protection strategy and following firms' imitation strategy from the perspective of group evolutionary game. Based on the cost-benefit perspective, an asymmetric tripartite evolutionary game model and a simulation model are constructed to analyze the strategies and stability of the evolutionary equilibrium of each subject. We focus mainly on the protection intensity of innovation achievements by leading enterprises and the difficulty of imitation and substitution by following enterprises. The cost of patent operation and maintenance, government subsidies, and the relative difficulty of technology substitution and imitation were identified as the key factors affecting the evolutionary equilibrium of the system. Based on different scenarios resulting from the aforementioned factors, four equilibrium states are observed in the system, namely {no government regulation, technology secrecy, substitution}, {no government regulation, technology secrecy, imitation}, {no government regulation, patent application, imitation}, and {government regulation, patent application, imitation}. Finally, the study suggests corresponding recommendations for the three parties, which can help governments as well as the leading and following firms to choose appropriate behavioral strategies. At the same time, this study offers positive insights to participants in the global innovation ecosystem.
在创新生态系统中,每个主体的基于知识的博弈行为不仅与其自身的生存和发展有关,而且还会影响创新生态系统的演化。本研究从群体进化博弈的角度研究了政府的监管策略选择、主导企业的创新保护策略和跟随企业的模仿策略。基于成本效益的观点,构建了一个非对称三方进化博弈模型和一个仿真模型,用于分析各主体的进化均衡策略和稳定性。主要关注的是主导企业创新成果的保护力度以及跟随企业模仿和替代的难度。专利运营维护成本、政府补贴以及技术替代和模仿的相对难度被确定为影响系统进化均衡的关键因素。基于上述因素产生的不同情景,系统中观察到了四种均衡状态,即{无政府监管、技术保密、替代}、{无政府监管、技术保密、模仿}、{无政府监管、专利申请、模仿}和{政府监管、专利申请、模仿}。最后,本研究为三方提出了相应的建议,这有助于政府以及主导企业和跟随企业选择合适的行为策略。同时,本研究为全球创新生态系统的参与者提供了积极的启示。