Organizations play a key role in supporting various societal functions, ranging from environmental governance to manufacturing of goods. The behaviors of organization are impacted by various in-fluences, including information, technology, authority, economic leverage, historical experiences, and external factors, such as regulations. This paper introduces a generalized framework, focused on the relative structure of an organization (tight vs. loose), that can be used to understand how different influence pathways can impact decision-making within differently structured organizations. This generalized framework is then translated into a modeling and simulation platform approach to support and assess implications of these structural differences on overall behaviors of the organizations. Specifically, a systems dynamics approach is used to simulate tightly structured and loosely structured organization in the context of varying amounts of information quality present within the environment. Preliminary results indicate that a tightly structured organization is less timely at processing information within the environment, and it could be more resilient to how much poor quality information is incorporated within its final decisions under certain conditions, in comparison to the loosely structured organization. Ongoing work is underway to understand the robustness of these findings and to align current model design activities within empirical insights.