2019 Fiscal Year Annual Research Report

The Establishment of Evolutionary Knowledge Management for Societal and Organizational Optimization

Research Project

Project/Area Number	17F17308
Research Institution	The University of Tokyo
Principal Investigator	チンユ東京大学, 大学院新領域創成科学研究科, 教授 (00272394)
Co-Investigator(Kenkyū-buntansha)	GU JIE 東京大学, 新領域創成科学研究科, 外国人特別研究員
Project Period (FY)	2017-10-13 – 2020-03-31
Keywords	agent-based modeling / behavioral experiment / knowledge management / complexity and evolution / risk and uncertainty
Outline of Annual Research Achievements	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.
Research Progress Status	令和元年度が最終年度であるため、記入しない。
Strategy for Future Research Activity	令和元年度が最終年度であるため、記入しない。