Participation Motifs and the Emergence of Organization in Open Productions

We study how organization emerges from interdependent problem solving behavior of participants to an open production system. We consider individual problem solving attempts as acts of production embedded in an evolving bipartite network that affiliates organizational participants to organizational problems. We document how stable local configurations (or network motifs) linking participants to problems emerge from – but at the same time sustain decentralized problem-solving activities. Structural characteristics of the observed network suggest specific dependence hypotheses linking participants to problems. We test these hypotheses by examining problem solving attempts performed by 135 participants in an open source software project on the 719 problems (software bugs) recorded during a complete release cycle of the software. Our empirical strategy relies on the specification and estimation of newly derived stochastic actor-oriented models (SAOM) originally conceived for the analysis of social networks. We find that individual problem solving behavior is activated by the interaction between local configurations of network ties, the level of experience of problem solvers, and the level of difficulty of problems. The discussion focuses on the broad theoretical implications of the study for the relation between work practices and organizational structures