Influence of Knowledge Heterogeneity on Innovation Performance in Innovation Teams——Based on the Mediating Role of Knowledge Sharing

To break through the restrictions of traditional organizational forms,systems,and mechanisms and quickly respond to the innovative development requirements of CASC,the innovation team has gradually become a crucial organizational form within CASC.One of the biggest differences between the innovation team and traditional orga-nizational structure lies in knowledge heterogeneity.Existing studies present different conclusions on the relationship between knowledge heterogeneity and innovation performance,which should be analyzed according to specific situ-ations.Therefore,this paper takes the innovation team of CASC as the research object to conduct an empirical study on 186 team members,propose conceptual models and hypotheses,and study the relationship among knowledge heterogeneity,knowledge sharing,and innovation performance.The research results indicate that the two dimensions of knowledge heterogeneity—explicit knowledge heterogeneity and implicit knowledge heterogeneity—are beneficial to innovation performance when they are to a great extent.Knowledge sharing plays a partially mediating role between knowledge heterogeneity and collaborative innovation performance.It reveals the influence of knowledge heterogene-ity on innovation performance in the innovation team of CASC,aiming to provide a certain reference for the establish-ment and development of CASC’s innovation team.

A Semantic-based Clustering Method to Build Domain Ontology from Multiple Heterogeneous Knowledge Sources

In order to improve the efficiency of ontology construction from heterogeneous knowledge sources, a semantic-based approach is presented. The ontology will be constructed with the application of cluster technique in an incremental way. Firstly, terms will be extracted from knowledge sources and congregate a term set after pretreat-ment. Then the concept set will be built via semantic-based clustering according to semanteme of terms provided by WordNet. Next, a concept tree is constructed in terms of mapping rules between semant^me relationships and concept relationships. The semi-automatic approach can avoid non-consistence due to knowledge engineers having different understanding of the same concept and the obtained ontology is easily to be expanded.

Effective Approach to Elevate the Intelligence of Management Decision System

Based on the sticking point of the low intelligence of the existing management decision system,this paper puts forward the idea of enriching and refining the knowledge of the system and endowing it with the ability to learn by means of adopting three types of heterogeneous knowledge representation and knowledge management measures.At length,this paper outlines the basic framework of an intelligence system for the sake of management decision problem.