Agent-based simulation models allow to reproduce the structure of interactions between the members of an organization, deriving organizational decision-making from individual behavior. This article explains the philosophy of agent-based models, expounds exemplary applications to crucial issues...

Technological innovation is widely considered as one of the most influential determinants of industry evolution. Along this line of inquiry, the seminal work of Tushman and Anderson (1986) presents one of the most compelling theoretical argumentations. Yet, the empirical support for their theory...

We reconstruct Cohen, March and Olsen's Garbage Can model of organizational choice as an agent-based model. In the original model, the members of an organization can postpone decision-making. We add another means for avoiding making decisions, that of buck-passing difficult problems to...

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...

Cohen, March and Olsen\'s Garbage Can Model (GCM) of organizational choice represent perhaps the first – and remains by far the most influential –agent-based representation of organizational decision processes. According to the GCM organizations are conceptualized as crossroads of...