Technological Innovation and Learning of Industrial Cluster as a Complex Adaptive System
The objective of the paper is to provide a theoretical model of technological innovation and learning of industrial cluster as a complex adaptive system (CAS). It argues that a cluster is a CAS with a multi-level, multi-subsystem structure. In agent-and-layer modeling (ALM) given by authors, the various agents are initiative to adapt complex environments inside and outside the cluster, which exchange materials, information, technologies and values via the core network, support networks and external networks as well, and acquire knowledge and accumulate experiences from technological learning to form a dynamic, self-adaptive system. The paper examines the motivation for independent and interacting firms in clusters to learn technologies comes from seeking to increase and maximize their own revenues from technological learning. Entrepreneurs in the cluster CAS are driving force of innovation and learning in the whole process.
industrial cluster complex adaptive system (CAS) agent-and-layer modeling innovation technological learning entrepreneurship
Ting-Hai Zhang Ma-Lin Song
School of International Economics and Trade Anhui University of Finance and Economics, AUFE Bengbu, School of Statistics and Applied Mathematics Anhui University of Finance and Economics, AUFE Bengbu,
国际会议
太原
英文
98-101
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）