A novel network optimization partner selection method based on collaborative and knowledge networks

Abstract

Organizational innovation requires strong social collaboration and knowledge networks as well as focused partner selection strategies that complement employee strengths. Therefore, this paper proposes an effective, innovative partner selection method on the basis of collaboration network deconstruction optimization using collaboration and knowledge networks. To ensure collaborative network deconstruction optimization, the proposed method firstly improves the focal actor's management efficiency by eliminating network redundancy and identifying the key primary contacts. Then, to fully consider the knowledge benefits to be gained from joint collaboration, the knowledge fusion process is modeled using knowledge combinations from the knowledge networks. Further, social benefits and knowledge benefits maximization are jointly considered in the selection of suitable partners. And at last, a case study is given that demonstrates the proposed method is highly effective in selecting suitable partners for the focal actor that significantly improves both the social and knowledge benefits.