开放式创新下组织间知识转移的生态学建模及仿真

开放知识具有多源性、开放性与价值性特点。为提高开放知识导入情景下的组织间知识转移效率，融合知识管理、生态学等理论，将开放式创新下组织间知识转移归结为组织间的知识转移和开放知识与组织之间的知识转移等两种生态关系，基于改进Lotka-Volterra模型分别构建了相应的知识转移生态学模型，进行了定量分析和数值仿真验证。研究表明：知识转移系数、知识溢出系数、最大知识存量等因素对知识转移演化及均衡具有正反馈作用；知识链成员通过外部学习，在多点吸收开放知识，形成“互利共生+多元共栖”的生态关系，并借此实现知识链高效率转移均衡，提高知识资源的社会化配置效率。

Ecological Modeling and Simulation of Inter-Organizational Knowledge Transfer under Open Innovation

Open knowledge has the characteristics of multiple sources, openness and valuableness. In order to improve inter-organizational knowledge transfer efficiency in the case of open knowledge importing, this paper combines knowledge management, ecology and other theories, attributes inter-organizational knowledge under open-innovation to two kinds of ecological relationship: knowledge transfer between organizations and the transfer between open knowledge and organizational knowledge, and constructs the relative two kinds of ecological model for knowledge transfer based on improved Lotka-Volterra model. Then the Quantitative analysis and numerical simulation has been made. The results show that: knowledge transfer coefficient, knowledge spillover coefficient, the largest stock of knowledge and other factors have a positive feedback effect on knowledge transfer evolution and equilibrium. Through external learning and absorbing the open knowledge in multi-points by knowledge chain members, building a ecological "mutualism & multi-component habitat" relationship, high-efficient equilibrium of knowledge chain transfer can be achieved and social allocation's efficiency of knowledge resources can be promoted.