Currently, the fuzzy c-means algorithm plays a certain role in

No abstract

China’s economy has shifted from the stage of high-speed growth to the stage of high-quality development, and enterprises are facing increasingly complex conditions in the rapidly changing environment. In the process of transformation from “production value growth” to “value-driven”, knowledge service plays an important role, which can both increase knowledge innovation capability and export heterogeneous knowledge to the outside world. Under such circumstances, it is necessary to focus on cultivating the capability of knowledge services from the perspective of value cocreation. Starting from this concept, the temporal pattern of data is explored in terms of time span; the service mode of knowledge service to its customers is explored in terms of spatial interaction, and the framework of knowledge service is explored in terms of content structure. It is found that (1) there are five knowledge service models for science and technology-based SMEs, and there exists an efficient service combination of “online+offline”; (2) customers can basically be divided into three categories: passive, active, and neglected. (3) The value cocreation path of knowledge services for science and technology-based SMEs is divided into initial stage-interaction stage-implementation stage; “two-way identification”-“joint participation”-“win-win value” knowledge service value cocreation model.