Analytic Model Driven Organizational Design and Experimentation in Adaptive Command and Control
CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL AND SYSTEMS ENGINEERING
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The purpose of this paper is to present a methodology for the design of experiments to examine the organizational behavior of command and control teams operating in a complex mission environment. This methodology can be used to design an executable model for human-in-the-loop, model-based experiments that provide the necessary empirical components for current and future research in adaptive C2 architectures. The authors discuss a joint model of a mission and an organization to specify the structure of the mission, organizational constraints and processes, and the requirements for an organizational design. Their methodology illustrates the underlying principles that guide the design of organizations. The paper provides an analytical starting point for model-based experimental research on adaptive architectures. In coordination with companion empirical efforts, it seeks to integrate optimization, modeling, and simulation-based research efforts with psychology-based and experimental activities to conduct humans-in-the-loop, model-driven experiments studying adaptive C2 architectures. The proposed models drive the formulation of hypotheses, the determination of key variables and their values, and the prediction of organizational performance and the processes of adaptation. The generated measures of organizational performance provide a basis for post-experimental model-data comparison. In addition, the implementation of the design procedure in software allows one to estimate the optimal experimental conditions to test a specific hypothesis. The empirical findings will assist a modeler in identifying new design parameters affecting organizational performance to further study the dependency of organizational performance on the mission structure and on organizational design.
- Administration and Management
- Military Forces and Organizations
- Command, Control and Communications Systems