  This paper examines the interactions between selected coordination modes and
dynamic team composition, and their joint effects on task performance under
different task complexity and individual learning conditions. Prior research
often treats dynamic team composition as a consequence of suboptimal
organizational design choices. The emergence of new organizational forms that
consciously employ teams that change their composition periodically challenges
this perspective. In this paper, we follow the contingency theory and
characterize dynamic team composition as a design choice that interacts with
other choices such as the coordination mode, and with additional contextual
factors such as individual learning and task complexity. We employ an
agent-based modeling approach based on the NK framework, which includes a
reinforcement learning mechanism, a recurring team formation mechanism based on
signaling, and three different coordination modes. Our results suggest that by
implementing lateral communication or sequential decision-making, teams may
exploit the benefits of dynamic composition more than if decision-making is
fully autonomous. The choice of a proper coordination mode, however, is partly
moderated by the task complexity and individual learning. Additionally, we show
that only a coordination mode based on lateral communication may prevent the
negative effects of individual learning.
