🤖 AI Summary
This study investigates how functional diversity influences team communication and performance across varying contexts, with particular attention to the mechanisms at play when teams lack specific expertise. By constructing a multi-agent simulation model, the research systematically examines the joint effects of individual functional diversity (IFD), dominant functional diversity (DFD), and aggregated team-level professional capability under heterogeneous functional compositions and diverse communication structures. The findings reveal that the impact of functional diversity on team performance is highly contingent on both communication structure and functional composition—enhancing performance in some contexts while impairing it in others. This challenges conventional approaches that focus solely on lower-order moments of capability distributions and underscores the necessity and explanatory power of incorporating a holistic measure of team-level professional capacity.
📝 Abstract
Theory and empirical research on management teams' influence on firm performance have witnessed continuous development, and by now incorporate numerous details. Classic, experiment-based studies examining social systems collect vast amount of data, but often times investigate only the first one or two modes of the distribution of measured variables, and experience difficulty in analyzing the effect of context. For example, in functional diversity research, management teams are described by measures incorporating complex distributions of capabilities of individual managers and teams of managers. To investigate the effect of hidden distributions, and the effect of functional diversity composition on team communication and performance, we developed an agent-based model, and conducted a series of simulation experiments. Modeling results show that depending on the context, such as communication scheme among interacting agents, or their functional composition, intrapersonal functional diversity (IFD), and dominant function diversity (DFD) might enhance or reduce performance and communication among agents. Furthermore, simulation results also suggest that a third measure is required alongside IFD and DFD capturing the aggregate expertise of the team to comprehensively account for empirical findings.