The Establishment of Evolutionary Knowledge Management for Societal and Organizational Optimization

本研究采用基于智能体的建模方法，深入探讨了知识创造与扩散的复杂性及其对市场情绪、组织氛围等宏观结果的复合效应。我们的模型将人类行为决策作为知识创造和传播的基本力量，这是至关重要的，但以前被忽视了。我们的模型描述了社会系统的因果关系，揭示了转折点（高峰和低谷）和跨时间动态，因此它也在数量上扩展了现有的著名的Nonaka的SECI模型和Gartner的Hype周期模型，这些模型仍然被认为只是概念性的。

Using agent-based modeling (ABM) methodology, this research has probed deeply into the complexity of knowledge creation and diffusion and its compound effect on the collective macroscopic outcome e.g. the market sentiment or the organizational climate. Our model incorporates human behavioral decision-making as the fundemental force for knowledge creation and diffusion which is vital but previously neglected. Our model describes the causal relations of the social system and reveals turning points (peak and trough) and inter-temporal dynamics, hence it also quantitatively extends the existing well-known Nonaka's SECI model and Gartner's Hype cycle model which are still considered merely conceptual.