摘要
隐性知识的扩散往往需要通过成员之间的直接知识交流才能达成,从成员间微观知识交流活动的视角研究隐性知识扩散的过程及规律。借鉴SEIR疫病传播模型,将知识协同团队成员划分为不同的知识状态,并对隐性知识扩散过程进行梳理描述。考虑到成员异质性对知识扩散的影响,采用异质元胞自动机构建隐性知识扩散模型,运用仿真方法,研究知识交互策略、知识传播者分布模式、知识放弃率以及成员间知识可达性对隐性知识扩散的影响。研究表明:知识放弃率和隐性知识扩散绩效负向相关;成员间知识可达性与隐性知识扩散绩效正向相关;知识传播者分布模式与知识交互策略对隐性知识扩散绩效具有显著影响。
Tacit knowledge diffusion is implemented through direct knowledge exchange among team members. From the view of the micro knowledge exchange among members, this study aims to examine the process and rules of tacit knowledge diffusion. By consulting the SEIR epidemic propagation, this work divides the team members into different knowledge statuses, and depicts the process of tacit knowledge diffusion. Considering the influence of member heterogeneity on knowledge diffusion, this study adopts the heterogeneous cellular automata to build the tacit knowledge diffusion. Through simulations to study the impacts of the knowledge interaction strategy, distribution pattern of initial knowledge disseminator, knowledge abandon rate and knowledge accessibility among members on tacit knowledge diffusion, the results demonstrate that the knowledge abandon rate is negatively correlated with the diffusion performance of tacit knowledge, while the knowledge accessibility among members is positively correlated with the diffusion performance of tacit knowledge. Furthermore, the knowledge interaction strategy and distribution pattern of initial knowledge disseminator have significant influence on the diffusion performance of tacit knowledge.
出处
《管理学报》
CSSCI
北大核心
2017年第2期245-253,共9页
Chinese Journal of Management
基金
国家自然科学基金资助项目(71571023)
重庆市研究生科研创新资助项目(CYB15018)
关键词
知识协同团队
隐性知识扩散
SEIR模型
异质性
元胞自动机
knowledge collaboration team
tacit knowledge diffusion
SEIR model
heterogeneity
cellular automata
