Evolution Analysis about Knowledge Transfer in the Open Innovation Process of Strategic Emerging Industrial

发表日期：2025-03-01

期刊：IAENG International Journal of Applied Mathematics

作者：Yue Long; QiHao Chen; Mei Wang; Pan Liu

单位：

摘要：Knowledge transfer is essential for fostering open innovation in strategic emerging industries (SEI), where ecological and economic dynamics shape the innovation ecosystem. This study combines the Lotka-Volterra model and evolutionary game theory to build an ecological framework for knowledge transfer, tackling challenges like incentive compatibility and resource allocation. Through quantitative analysis and numerical simulations, we reveals how factors like knowledge stock, marginal utility, and tailored incentives drive symbiotic relationships and high-quality knowledge ecosystems. The findings offer theoretical insights and actionable strategies to optimize knowledge flows, boost innovation efficiency, and drive sustainable growth in SEIs.

关键词：Knowledge transfer; Lotka-Volterra model; SEI; Open innovation

链接：Evolution Analysis about Knowledge Transfer in the Open Innovation Process of Strategic Emerging Industrial