Higher education institutions (HEIs) in many developed and developing countries are facing big challenges in terms of quality in the face of growing global demand. Ensuring quality education is necessary to secure future prosperity and promote sustainable development. Hence; to ensure the success and sustainability of higher strategy; it is necessary for HEIs to improve the quality of strategy implementation processes and address the dynamic complexities of their attributes to identify areas for improvement. However; there are obvious issues associated with strategy implementation related to process modeling; automation; dynamic complexity; and cognitive limitations. This research is a step toward bridging the gap in adopting computational models in the higher education strategy implementation process to foster its automation and promote its sustainability. The aim of this research is to study the phenomenon of computational strategy implementation in the higher education domain using grounded theory to understand the criteria and quality attributes of the strategy implementation process and to generate a descriptive and explanatory model for strategy quality attributes (SQAs) of higher education; which entails the implementation of automated technology and computational models for more effective and sustainable strategy.