The Establishment of Evolutionary Knowledge Management for Societal and Organizational Optimization

社会和组织优化的进化知识管理的建立

• 批准号: 17F17308
• 负责人: チン ユ
• 金额: $ 1.47万
• 依托单位: The University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for JSPS Fellows
• 财政年份: 2017
• 资助国家: 日本
• 起止时间: 2017-10-13 至 2020-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17F17308/
• 关键词: agent-based modeling; behavioral experiment; knowledge management; complexity and evolution; risk and uncertainty; Agent-Based Modeling; Knowledge Management; Behavioral Experiment; Decision Making; Social Complexity; Macroeconomics; Intellectu

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.

使用基于代理的建模（ABM）方法，这项研究深入探讨了知识创造和扩散的复杂性及其对集体宏观结果的复合效应，例如市场情绪或组织气候。我们的模型将人类的行为决策纳入了知识创造和扩散的筹款力量，这是至关重要但以前被忽略的。我们的模型描述了社会系统的因果关系，并揭示了转折点（峰值和低谷）和暂时性的动力学，因此它也定量扩展了现有著名的Nonaka的Seci模型和Gartner的Hype Cycle模型，这些模型仍然被认为是概念性的。

项目成果

X-Order Lab(中国)

X-Order实验室（中国）

X-Order Lab (Blockchain Think Tank)(中国)

X-Order Lab（区块链智库）（中国）

Claremont Graduate School(米国)

克莱蒙特研究生院（美国）

Claremount Graduate School(米国)

克莱蒙特研究生院（美国）

Data Analytics and Visualization - A Case Study Using ABM and Behavioral Experiment

数据分析和可视化 - 使用 ABM 和行为实验的案例研究

• 发表时间: 2018
• 作者: Jessica Gu and Yu Chen