协同创新中知识供需系统的模拟研究

发布时间：2018-03-22 22:33

本文选题：协同创新　切入点：知识供需系统　出处：《现代图书情报技术》2016年09期 　论文类型：期刊论文

【摘要】：【目的】探讨协同创新环境下知识型团队的交互对团队绩效的影响。【方法】采用多智能体建模仿真方法,从知识管理微观层面构建知识供需系统,将时间成本和资金成本作为工作绩效的评价指标,基于Python Network X实现该系统。【结果】大规模的组织在降低创新成本上比小规模的组织有优势;无标度结构的组织完成任务耗时长并且成本高;组织中个体的连接邻域数增加并没有单调地提升组织的创新效率,当平均领域数超过某个阈值后创新成本开始增加。【局限】未考虑人与人之间的互动在协同创新中的优化设置。【结论】基于多智能体建模的知识供需系统从微观层面对知识型团队的知识整合过程进行模拟,有助于认识团队内部知识的管理,为组织提升知识利用效率,降低创新成本提供新的视角。
[Abstract]:[objective] to explore the effect of knowledge team interaction on team performance in collaborative innovation environment. [methods] A knowledge supply and demand system was constructed from the micro level of knowledge management by using multi-agent modeling and simulation method. Time cost and capital cost are taken as the evaluation index of work performance, and the system is implemented based on Python Network X. [results] large scale organizations have advantages over small scale organizations in reducing innovation cost; The scale-free organization takes a long time to complete the task and the cost is high; the increase in the number of connecting neighbors of the individual in the organization does not monotonously improve the innovation efficiency of the organization. The cost of innovation begins to increase when the average number of domains exceeds a certain threshold. [limitation] the optimization of interaction between people in collaborative innovation is not considered. [conclusion] the knowledge supply and demand system based on multi-agent modeling starts from the micro level. In the face of knowledge team knowledge integration process simulation, It helps to understand the management of knowledge within the team, and provides a new perspective for the organization to improve the efficiency of knowledge utilization and reduce the cost of innovation.
【作者单位】：武汉大学信息管理学院;
【基金】：国家自然科学基金面上项目“创新2.0超网络中知识流动和群集交互的协同研究”(项目编号:71373194)的研究成果之一
【分类号】：TP391.9

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