Study on Cluster Network Evolution and Relation Rent Dynamic Matching

Abstract

在竞争环境日趋激烈与全球价值链重构的影响下，集群网络作为重要的资源配置组织而广泛盛行，组织间关系尤其是组织间合作关系成为理论界与实业界的关注焦点。本文基于集群成长周期理论，运用系统动力学与仿真模拟方法，构建集群网络四个发展阶段与网络关系租金的动态匹配过程，探索网络权力、网络能力以及战略协同等对关系租金的影响。研究结果表明：网络能力、网络惯例以及战略协同与关系租金呈正相关，过高或过低的网络权力都不利于关系租金的产生。本研究对集群网络关系租金的获取与网络权力的合理配置具有重要的理论与现实意义。 With the increasingly fierce competition environment and the restructuring of global value chain, cluster network is widely prevalent as an important resource allocation organization. Inter-organizational relations, especially inter-organizational cooperative relations, have become the focus of theoretical and industrial circles. Based on the theory of cluster growth cycle, this paper constructs a dynamic matching process between four stages of cluster network development and network relationship rent by using system dynamics and simulation methods, and explores the impact of network power, network capability and strategic synergy on relationship rent. The results show that network capacity, network conventions and strategic synergy are positively correlated with relationship rent, and too high or too low network power is not conducive to the generation of relationship rent. This study has important theoretical and practical significance for the acquisition of the relationship rent of cluster network and the rational allocation of network power.