Research on the mechanism of knowledge and intelligence sharing in enterprises under big data: From the perspective of status‐striving motivation and opinion dynamics

摘要

Knowledge sharing is the process of individual knowledge interaction in the team. To understand the social psychological mechanism in the process of knowledge sharing, this article combines status-striving motivation with opinion dynamics to study the decision mechanism and evolution law of employee knowledge sharing behaviour. A multiagent simulation method is used to design the decision-making model of employee knowledge sharing behaviour. The influence of the network structure, number of people, and the proportion of employees with different statuses on knowledge sharing performance is considered. The simulation software is used to convert the theoretical model into a parametric experiment, and the sensitivity analysis is also employed. The results show that the knowledge of individuals with high status will increase initially, but the upward trend will eventually slow until reaching a steady state. The steady-state status of employees is positively correlated with their initial knowledge volume.