Analysing communication in complex distributed decision-making

Area of Science:

• Emergency management
• Distributed decision-making (DDM)
• Organizational communication

Background:

• Emergency tasks require effective coordination in dynamic environments.
• Distributed decision-making (DDM) is a key framework for managing complex, unpredictable situations.
• Understanding collective strategies is crucial for optimizing emergency response.

Purpose of the Study:

• To analyze emergency tasks using the theoretical framework of dynamic environment management and DDM.
• To infer collective strategies by examining verbal exchanges through task and work organization models.
• To investigate the relationship between communication patterns and situational parameters in emergency scenarios.

Main Methods:

• Utilized models of task and work organization to analyze verbal exchanges.
• Employed a cross-analysis method focusing on the semantics and structure of communication.
• Conducted two empirical comparative studies to validate findings.

Main Results:

• Identified associations between communication invariants/differences and situational invariants/differences (initial state, final result).
• Found that well-structured communication flow and role distribution correlate with efficient strategies.
• Demonstrated the link between semantic and structural aspects of communication and task outcomes.

Conclusions:

• Structured communication and defined roles are critical for efficient emergency task execution under DDM.
• The analysis of communication patterns provides insights into collective strategy effectiveness.
• Dynamic environment management principles are applicable to optimizing emergency response through communication analysis.