Technology management in universities impacts the quality of their administrative and academic processes. Smart technologies, such as big data, artificial intelligence, the Internet of Things, and cloud computing, continue to be disruptive and highly relevant. The factors for adopting smart technology and the key indicators will contribute to the knowledge of the transformation processes of current universities in Smart Universities. An evolutionary approach for a traditional university to progress by levels toward a smart university can be seen in a maturity model that integrates such factors and indicators. Although maturity models are numerous and widely applicable, there is little documentation on how to develop them. So far, there is a lack of useful tools to support the practical adoption of the developed models in universities. This article presents 52 key indicators associated with the proposed smart technology adoption factors that are the basis for the maturity model.