The following research study was based on the need to offer a better method for assessing and directing public policy implementations. The foundational issue is the inability for governments at any level to implement intended public policy successfully. The intent of this research was to determine significant factors that affect policy implementation regardless of the outcome. Then to isolate these factors that either led to successful or unsuccessful implementation efforts. The policy case study used was the building of a regional University Center by two collaborating Georgia universities, North Georgia College and State University and Gainesville College and State University, the UC400 project. Specifically, the case study analysis focused on the implementation of the technology infrastructure, which was part of the overall physical construction of the new University Center. The UC400 project began in approximately September 2011 and was completed one year later, August 2012. A qualitative grounded-theory analytical method was used in the case study to capture interview and document data. The analysis of the data was done by the use of two models: one known in policy implementation research and the other a new social science model that is rarely used in this type of policy research. The former, contextual interaction theory, analyzes key decision-makers social interaction that occurs during policy implementation. The latter, complex adaptive theory, developed in the biological and physical sciences as a descriptor of the natural world, is used to describe natural behaviors in organized systems. The analysis in this case study uses a combination of both models to identify behavior characteristics found in highly complex implementations. One is a specific analytical assessment model of management behavior, contextual interactive theory. The other is a much broader organizational analytic behavior model used to understand adaptive group behavior in complex environments, complex adaptive systems theory. The former is used as a subset of the latter. The results of this effort confirmed that these models can be used in conjunction to identify significant factors that produce positive or negative behavior patterns in policy implementations.