Abstract:   Digital technology-enabled online innovation community (OIC) is a crucial platform for enterprises to obtain users′ knowledge contributions. However, the systematic analysis of how to aggregate users′ knowledge and co-create new knowledge with them remains absent. Consequently, this study combined machine learning and system dynamics, supplemented with quantum mechanics to measure relevant factors, to construct a system dynamics model of knowledge co-creation and thereby explored the mechanism of OIC knowledge co-creation process. The research findings suggested that OIC knowledge co-creation is a multi-process interdependent complex, encompassing knowledge sharing, knowledge integration, and knowledge creation, and exhibiting differential knowledge activity characteristics. The rate of enterprise knowledge innovation is higher than that of user knowledge innovation, leading to a higher growth rate and total amount of enterprise knowledge stock compared to users. The frequency of knowledge sharing, the knowledge compatibility coefficient, and the knowledge creation efficiency positively affect the corresponding knowledge co-creation processes respectively. The community atmosphere is positively correlated with knowledge sharing, knowledge integration, and knowledge creation respectively, with the greatest impact on knowledge creation and the least on knowledge sharing. This study has not only decomposed the process of OIC knowledge co-creation and broadened the research perspective of knowledge co-creation but also will offer inspiration for community knowledge management at the practical level.

Key words: knowledge co-creation, online innovation community (OIC), topic modelling, system dynamics