A Complexity Science Model of Social Innovation in Social Enterprise

A complexity science-based model for social innovation in social enterprises is presented. The three components of the model include: (1) representing the evolution of social innovation using nonlinear dynamical systems with accompanying parameters and attractors; (2) a cusp catastrophe model of bifurcation or the emergence of a new attractor; (3) the role of emergence in complex systems utilizing recombinatory operations. The model represents the emergence of social innovation as an evolving dynamical system governed by the interaction of two parameters. The first parameter is opportunity tension or the degree of coordination and organization on a collective level required to resolve social problems or take advantage of social opportunities. The second is informational differences having to do with the accessibility of information via social networks connecting key players in the social system under consideration. The informational differences parameter also refers to experiments in social novelty acting as seeds of the emergent social innovations. Since social innovation is understood as the emergence of a new attractor reflecting the social innovations, the new attractor is shown to replace an originary attractor representing inadequate ‘business as usual’ practices and social networks that have not been able to resolve the social problem or take advantage of the opportunity. At a critical threshold, the social system undergoes bifurcation as extant social components are recombined leading to the generation of novel social forms that can more sufficiently resolve the social problem or take advantage of the opportunity.