[Objective] This paper investigates the network environments facing knowledge-based team as well as their impacts to the job performance. [Methods] First, we constructed a Knowledge Supply & Demand System from the perspective of micro level knowledge management with the multi-agent based simulation technology. Second, we added time and financial costs as the criteria for performance evaluation. We developed this new system with Python NetworkX. [Results] We found that the large organizations reduced more costs of innovation than their small counterparts. Increasing the number of nodes in the neighborhood of individuals did not improve the innovation efficiency. Once the average number of fields exceeded a certain threshold, the cost of innovation began to rise. [Limitations] The study did not optimize interactions among individuals for collaborative innovation. [Conclusions] The proposed Knowledge Supply & Demand System simulates the knowledge integration process of an organization at the micro level. The new system helps us understand knowledge management, improve the efficiency of knowledge utilization, and reduce the cost of innovation.
吴江,陈君,张劲帆. 协同创新中知识供需系统的模拟研究*[J]. 现代图书情报技术, 2016, 32(9): 27-33.
Wu Jiang,Chen Jun,Zhang Jinfan. A Knowledge Supply-Demand Simulation System for Collaborative Innovation. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2016.09.03.