运筹与管理 ›› 2016, Vol. 25 ›› Issue (1): 262-267.DOI: 10.12005/orms.2016.0033

• 管理科学 • 上一篇    下一篇

基于传播模式演化的组织内知识传播研究

荣莉莉, 张效衡, 亓甜   

  1. 大连理工大学 系统工程研究所,辽宁 大连 116024
  • 收稿日期:2011-11-03 出版日期:2016-02-25
  • 作者简介:荣莉莉(1964-),女,教授,博士生导师,研究方向:突发事件应急管理,知识管理,复杂网络,软计算;张效衡(1988-),男,硕士研究生,研究方向:知识传播,复杂网络。亓甜,女,1986年生,硕士研究生,研究方向:知识传播,复杂网络。
  • 基金资助:
    国家自然科学基金重大研究计划项目(91024003,91024031);高等学校博士学科点专项科研基金资助课题(20090041110010);国家自然科学基金重点资助项目(71031002)

Modes Evolution-Based-Research on Knowledge Transfer in Organizations

RONG Li-li, ZHANG Xiao-heng, QI Tian   

  1. Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, China
  • Received:2011-11-03 Online:2016-02-25

摘要: 组织内个体之间的知识传播存在不同的模式,传播模式会影响传播效果,反过来传播模式会随着传播的进行而发生演化,反作用于知识传播,进而影响组织绩效和创新。基于此,本文先归纳了六种知识传播模式之间的演化规则,然后对应不同类型的组织,利用复杂网络设置了多组仿真实验,模拟了传播模式不断演化时组织知识传播的动态过程。对比分析实验结果发现:专家对组织知识传播至关重要,专家能够大大提高组织知识储量;顺畅的沟通机制不仅能显著提高组织知识储量,还能让知识传播更兼顾公平;组织内个体的知识分享习惯是其获取知识的关键,越懂得分享的人越能获取更多的知识。

关键词: 知识传播, 模式演化, 组织, 复杂网络, 仿真

Abstract: Knowledge transfer between individuals can be classified into six modes, and the modes are constantly changing with the development of organization, which definitely lead to quite different results, and thus have further effects on organization’s performances and innovations. This paper thus generalizes the evolution rules between the transfer modes. On the basis, we conduct groups of complex network experiments to simulate the dynamic process of knowledge transfer corresponding to different type of organizations. After contrastive analysis of the experiment results, we conclude that the number of experts is key element to knowledge diffusion, and experts can greatly increase organization’s knowledge reserves. A properly unhindered communication mechanism within organization can not only increase the knowledge reserves but also narrow the knowledge wealth gap between organization members. What’s more, knowledge sharing habit is the key element for individual to get more knowledge, and generally the more one share knowledge the more he/she gets from others.

Key words: knowledge transfer, mode evolution, organization, complex network, simulation

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