基于“S”型变化遗忘率与个案网络结构的企业隐性知识传播

Enterprise Tacit Knowledge Transmission Based on “S” Type Change Forgetting Rate and a Case Network Structure

隐性知识是现代企业竞争优势的战略资产,具有更高的价值。本文基于小世界网络中SIR模型为基础研究隐性知识传播规律,采用更符合实际的"S"型曲线作为变化遗忘率函数,构建遗忘率随时间变化的隐性知识传播复杂网络模型,使得该模型更能准确预测企业内部隐性知识传播过程;还采用随机抽样方式对C企业的所有员工发放调查问卷4500份,最终回收问卷4320份,获取C企业知识传播网络参数,对其隐性知识传播过程进行案例仿真。研究结果显示:遗忘率及其函数参数的变化对隐性知识传播的最终规模有重要影响。越大的初始遗忘率使得企业隐性知识传播的最终规模也越小,遗忘速度越快,隐性知识传播范围也越小;相比常数遗忘率的模型,考虑变化遗忘率的隐性知识传播随时间变化的最终规模要大。

Knowledge is divided into explicit knowledge and tacit knowledge.Tacit knowledge is a strategic asset of competitive advantage and sustainability between modern enterprises,which is with higher value.Based on the SIR model in the small world network,this paper studies the tacit knowledge propagation law.On the one hand,we study the tacit knowledge of the forgetting rate with time in the complex network propagation model,and the forgetting rate is "S"curve,which make it accurate to simulate the knowledge communication dynamics within the enterprise.On the other hand,500 questionnaires arc distributed to the employees of Enterprises C by random sampling,and 345 questionnaires are finally collected,and the knowledge dissemination network is constructed to verify the parameters of the simulation model.The results show:the change of the parameters of the forgetting rate function has an important impact on the final scale of tacit knowledge dissemination.The larger the initial forgetting rate,the smaller the final scale of tacit knowledge dissemination.The faster the forgetting speed,the smaller the scope of tacit knowledge transmission.Compared with the model of constant forgetting rate,with the tacit knowledge of changing forgetting rate in the model,the final scale of the tacit knowledge propagation over time is larger.