Socialized value creation in networked organizations is the new paradigm of digital organizations. In dynamic and uncertain environment, small teams and big organizations can benefit from interaction with intelligent assistance. For that purpose, various behavior and relationships in situations should be effectively collected and fused. This paper proposes very early steps toward developing theoretical method for the intelligent collaboration of small teams and their big organization environment. Three main subjects are addressed in this paper: (i) Behavior intelligence support for virtual organizations; (ii) Situations behavior digitization, focusing on scenario recognition and modeling; (iii) Data fusion and behavior pattern mining, based on situation-based behavior modeling and heterogeneous behavior model fusion.