Release Notes

To do so, we first followed the NK and fitness landscape modelling to depict routine networks, and built up the fitness landscape of an organization. Then, we translated this into an agent-based model (ABM) to explore complex behaviors – That is, we treated an aggregation of individuals and artifacts – namely, the unit distributed within an organization, which we called a ‘group’ – as the basic autonomous agent. All the groups (i.e., agents) randomly interacted with each other, while by using templates specific routines were replicated from group to group. Furthermore, we also considered the impact of both internal uncertainties and external dynamics of the organizational environment routine replications. This included, for example, template-duplicating errors and innovative activities among groups, and the pace of variation of the organizational environment.