高技术产业集群内组织间知识溢出效应的系统动力学分析

The Knowledge Spillover Effect Among Organizations in High-Tech Industry Cluster: A System Dynamics Model

摘要:

知识溢出是企业集群发展、提高创新能力、获得持续竞争优势的驱动因素之一,但知识溢出过程仍然是一个“黑箱”。本文应用系统动力学模型系统分析了在高技术产业集群内组织间的知识溢出过程中,知识的难度系数、自然溢出度、接收者的创新能力、溢出者和接收者的初始知识势差对组织知识存量和组织间知识势差的影响,并给出了模拟分析结果。分析得到的结论是：知识的难度系数、知识势差在一定程度上对知识溢出起阻碍作用,而自然溢出度和接收者的原始创新能力则会促进知识溢出的加速。

关键词:知识溢出;系统动力学;溢出度;知识难度系数;创新能力.

Abstract:

Knowledge spillovers is one of the driving factors for enterprises to form cluster, increase innovation ability, and gain sustainable competitive advantage, but the knowledge spillovers process is still a "black box". This paper applied system dynamics model and method to analyze the effect of the knowledge complexity coefficient, the natural spillover degree, the receiver"s innovation ability, and initial potential difference of the receiver"s between spillovers, for organizations knowledge stock and the potential difference of organizations in high-tech industry cluster organizations knowledge spillovers process, furthermore, gave the simulation analysis results. The research result is the knowledge complexity coefficient, the knowledge potential difference of the receiver"s between spillovers will impede knowledge spillovers at some degree, otherwise, the natural overflow degree and the receiver"s original innovation ability will promote knowledge spillovers.

Key words:Knowledge spillover;System dynamics;Spillover degree;Knowledge difficulty coefficient;