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In order to improve the customer experiences and explore value of loyalty programs, the operators are extending the scope of point redemption through creating a strategic polycentric collaborative network (CN) across multiple LPs. The point exchange is considered as a selectable approach. Because of the complexity, multicurrency and security risk of the CN, the existing process for exchanging points is cumbersome. However, the challenge of corresponding information system (IS) design received few attentions, which is critical for the success of the CN. We fill the gap by introducing blockchain technology and conducting an action design research (ADR). We partnered with a consulting corporate to design blockchain-enabled point exchange systems for the polycentric CN of loyalty programs. Our ADR study is in progress and the preliminary findings of new design principles may contribute to design theory in the blockchain and IS literature, and enrich both research and practice on LP.

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.