We analyze the acquaintances of a sample of academic inventors and their paired controls to investigate the contribution of social networks to the generation of inventive ideas in academe. Prior to patenting, inventors work in networks of similar dimension and structure as those of their colleagues who do not invent. The ego-networks of the inventors are however more cohesive (denser), a circumstance that is often seen as associated to the exchange of more fine-grained information and to a greater climate of trust which facilitates long-term relationships and learning. Over time, both inventors and non-inventors extend their networks and become more central. In general, we found no evidence that after patenting inventors isolate or close their networks

Team production is ubiquitous in the economy, but managing teams effectively remains a challenge for many organizations. This paper studies how familiarity among teammates influences the performance of specialist teams, relative to nonspecialist teams. Applying theories of team production to contexts where team members coordinate interdependent activities extemporaneously, we develop predictions about factors that shift the marginal returns to specialization along two dimensions of familiarity: social familiarity and functional familiarity. We test our hypotheses in the context of Defence of the Ancients 2 (DOTA2), a major e-sports game where, in some formats, players are exogenously assigned to five-person teams. After analyzing nearly 6.5 million matches, we find that specialist teams are relatively more successful when members are more socially and functionally familiar with one another. The results suggest that the plug-and-play perspective on specialist teams is incomplete; rather, specialization and familiarity are complements in dynamic environments where team members coordinate extemporaneously. Funded: Financial support from the UCL School of Management and Worcester Polytechnic Institute is gratefully acknowledged.