全球创新网络的多重嵌套与企业动态学习能力的协同演进——基于系统动力学的仿真研究

Multi-nesting of global innovation networks and collaborative evolution of enterprise dynamic learning capabilities——Simulation research based on system dynamics

摘要:

本文基于系统动力学的研究方法，定量并模拟了全球创新网络的多重嵌套与企业动态学习能力的协同演进能力。模型分析结果显示：全球创新网络的多重嵌套与企业动态学习的演进路径为：知识探索↑→本土创新网络嵌入↑→海外创新网络嵌入↑→海外知识内化↑→知识转化↑→企业动态学习能力↑；随着企业创新嵌入的深入，其全球创新网络演化驱动三要素中，本土创新和海外创新网络的演进对企业动态学习能力提升均有边际递增效应，同时创新战略、本土国家的创新网络环境和东道国家的创新网络环境对企业动态学习能力都存在显著影响，但影响的差异较大。

Abstract:

Based on the research method of system dynamics, this paper quantifies and simulates the multi-nesting of global innovation networks and the collaborative evolution capability of enterprise dynamic learning capabilities. The results of model analysis show that the multiple nesting of global innovation networks and the evolution path of enterprise dynamic learning are: knowledge exploration 本土 → local innovation network embedded ↑ → overseas innovation network embedded ↑ → overseas knowledge internalization ↑ → knowledge transformation ↑ → enterprise dynamic learning Capacity ↑; With the deepening of enterprise innovation embedded, the three elements of its global innovation network evolution drive, the evolution of local innovation and overseas innovation network has a marginal incremental effect on the dynamic learning ability of enterprises, while innovation strategy, innovation network of local countries The environment and the innovative network environment of the host country have a significant impact on the dynamic learning ability of enterprises, but the impact is quite different.