We know that this metric is not the best one to

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Unformatted text preview: Trustworthiness NA NA NA NA NA NA NA NA NA NA NA NA 128 128 192 Table 2 Model Comparison 4 As measured by the maximum number of feedback mechanisms defining a construct in the theory. We know that this metric is not the best one to capture dynamic complexity (if there is one at all), but we present the metric to help identify the level of complexity that each of the models potentially has. To understand the dynamic complexity of a given model better, a fully mathematically characterized model needs to be formulated, and, through simulation, its dominant structure should be assessed. The dominant structure is the one that actually drives dynamic behavior over time in a complex system, it (the dominant structure) being a subset of the complete structure and necessarily smaller. In the case presented here, even when the bilateral-trust model has more than 200 feedback mechanisms influencing the public’s action construct, for example, it could be that only one of those mechanisms actually drives the behavior of the variable during simulation studies. To know more about simulating models of complex systems and about dominant feedback structure in system dynamics models, see these five sources, among others: Sterman, J. D. 2000. Business Dynamics: Systems Thinking and Modeling for a Complex World (First ed.). Boston MA: Irwin McGraw-Hill.; Richardson, G. P., & Pugh, A. L., III. 1981. Introduction to System Dynamics Modeling with DYNAMO. Cambridge MA: Productivity Press.; Mojtahedzadeh, M., Andersen, D., & Richardson, G. P. 2004. Using Digest to implement the pathway participation method for detecting influential system structure. System Dynamics Review, 20(1): 1-20.; and Richardson, G. P. 1986. Dominant structure. System Dynamics Review, 2(1): 68-75. 21 The unilateral-trust-in-government model, by incorporating 3 additional variables (16%), creates the possibility of increasing the maximum number of interacting feedback mechanisms by 233%, thereby capturing more extensively the rich fabric of interactions that determines trust in government and the outcomes experienced in complex systems. Finally, the bilateral-trust-ingovernment model, our final theory, presents a network of interactions in which the public’s action construct is determined by the interaction of 210 feedback mech...
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