組織における新しい知識の伝搬過程に関する研究

抄録

Currently, the emergence of technologies that significantly alter the framework of existing business operations, such as generative AI and Web3, along with the growing impor- tance of globally demanded knowledge and skills such as Digital Transformation (DX) and Green Transformation (GX), is evident. In Japan, there is a growing need for reskilling. However, many companies and employees are unable to adapt to technological and social changes, remaining at low productivity levels. This study aims to construct a simulation model that explores how companies adapt to the demand for new knowledge in society, depending on their organizational structure. The results revealed that differences in organizational structure can affect the speed of knowledge propagation and business performance utilizing new knowledge. Specifically, in organizations with employees having high learning capabilities, the acquisition of existing knowledge within the com- pany is quick, but there is a failure to adapt to new knowledge demanded by society. Additionally, it was found that organizations with a flat, non-hierarchical structure improve performance more quickly compared to those with defined hierarchies. Thus, this simulation was able to replicate the process of knowledge propagation influenced by organizational structure and corporate activities. Future efforts will focus on adding parameters to better represent the reality of organizations, conducting additional research to enhance the model 's validity, and aiming to apply it in the formulation of strategies in actual organizations.