A multi-agent knowledge integration process for enterprise management innovation from the perspective of neural network

作者：

Highlights：

• Research, explore and analyze the different connection states between nodes and their impact on the knowledge symbiosis or knowledge spillover ability of the entire management innovation network.

• Build a model of the knowledge transfer connection that will be used in the innovation process. Based on the innovation mechanism of multi-agent innovation, analyze the incentive relationship of knowledge transfer in the innovation process.

• Explore the incentive relationship of knowledge transfer throughout the primary part's innovation process, optimize the degree of connection or relationship between different main bodies, improve the collaborative management innovation of the regional mesh.

摘要

•Research, explore and analyze the different connection states between nodes and their impact on the knowledge symbiosis or knowledge spillover ability of the entire management innovation network.•Build a model of the knowledge transfer connection that will be used in the innovation process. Based on the innovation mechanism of multi-agent innovation, analyze the incentive relationship of knowledge transfer in the innovation process.•Explore the incentive relationship of knowledge transfer throughout the primary part's innovation process, optimize the degree of connection or relationship between different main bodies, improve the collaborative management innovation of the regional mesh.

论文关键词：Innovative subject,Knowledge integration,Neural Network,Incentive Mechanism

论文评审过程：Received 2 October 2021, Revised 5 January 2022, Accepted 9 January 2022, Available online 15 January 2022, Version of Record 15 January 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.102873