Michael T. Braun

TL;DR: It is argued that direct quantitative approaches, largely represented by computational modeling or agent-based simulation, have much to offer with respect to illuminating the mechanisms of emergence as a dynamic process, and illustrated how indirect and direct approaches can be complementary and, appropriately integrated, have the potential to substantially advance theory and research.

TL;DR: This work begins by answering the question of why-Why adopt a network approach to study leadership, and offers a framework for organizing prior research, which reveals 3 areas of research: leadership in networks, (b) leadership as networks, and (c) leadership in and as networks.

TL;DR: A process-oriented theory of team knowledge emergence is evaluated that demonstrates that agent teams generate collectively shared knowledge more effectively when members are capable of processing information more efficiently and when teams follow communication strategies that promote equal rates of information sharing across members.

TL;DR: This article reviews methods for establishing predictor importance and provides a program (in Excel) for implementing them and has the potential to yield both theoretical and practical benefits.

TL;DR: In this paper, the authors describe a research paradigm designed to examine directly the dynamics of micro-meso (individual, dyad, and team) and highlight key design principles that can be applied to examine other emergent phenomena in teams.