Date of Award
Doctor of Philosophy (PhD)
The ability for organizations to effectively systematically change their culture is becoming increasingly necessary. These changes are often implemented through a strategic process to which employee reactions have a great impact on their success. This study tested a new affective behavioral circumplex model of reactions to change. Although that was not fully supported, the data clusters that did emerge held true across samples. Not only did this study test this new model but also used new methods in Machine learning to examine qualitative responses which were found to be accurate and reliable. Furthermore, this study examined how this model is associated with additional contexts through theoretically related survey questions.
Cooper, Tiffany N., "Change in Organizations, What Do They Have to Say About It? Machine Learning Testing of an Affective Behavioral Circumplex Model of Reactions to Change" (2019). All Dissertations. 2533.