Method for analyzing the knowledge collaboration effect of R&D project teams based on Bloom's taxonomy

- Quantify the factors that influence the knowledge collaboration effect.
- Design an algorithm to evaluate the collaboration effects of R&D project teams.
- Build an optimizing model of the knowledge collaboration effects of R&D teams.
- Give the resource allocation plan of maximal effect of knowledge collaboration.

Knowledge collaboration is a method for organization to create value in the institutionalized process of knowledge creation, knowledge acquisition, knowledge sharing and knowledge reuse, i.e., team members gathering distributed knowledge resources and supplementing and sharing their knowledge, is an important activity in R&D projects. Studying the effect of knowledge collaboration is an important means to evaluate R&D project teams. To address the effect of knowledge collaboration, this paper, which is based on knowledge management, the theory of knowledge collaboration and the theory of collaboration effects, studied the factors that influence the knowledge collaboration effect between members. The method of Bloom's taxonomy was used to quantify those factors. In addition, this study defined collaboration activity with formalized language and proposed a method to evaluate the collaboration effects of R&D project teams and a model of team knowledge collaboration effects. Finally, through a case study, this paper analyzed the optimal allocation of resources of team knowledge collaboration and provided a basis and standards for organizational managers to design an incentive mechanism.

138