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Multi‐Agent‐Based Simulation of Knowledge Propagation in Organizations
Author(s) -
HASHIMOTO GAKU,
FUJIWARA TAKANORI,
SUZUKI MASAAKI,
OKUDA HIROSHI,
ISE JUNJI,
SHIOYA MASANORI
Publication year - 2015
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11685
Subject(s) - computer science , knowledge management , parametric statistics , order (exchange) , knowledge acquisition , business , mathematics , statistics , finance
SUMMARY In this paper, we propose an agent model based on Nonaka's SECI model for encouraging the propagation of knowledge in organizations. In this model, the complexity of knowledge is expressed as a bit tag, and worker agents and knowledge manager agents are introduced. Parametric studies are performed on the bit tag length and on the internalization rates and communication patterns of the worker agents. We evaluate the acquisition of knowledge in order to verify the present simulation model. Furthermore, a scenario simulation is implemented with respect to employment periods for worker agents and the effectiveness of the multi‐agent model is shown by means of a qualitative evaluation of knowledge variations corresponding to joining and leaving an organization.