One of the main challenges of managing science and technology parks is the creation of models and tools for monitoring and evaluating their performance, which consider the diversity of strategic profiles and business models of these innovation environments. Aiming to contribute to the improvement of the process of monitoring and evaluating the performance of science and technological parks in Brazil and abroad, the objective of this dissertation is to develop and apply a conceptual model for this process, based on adaptive management approach, which allows managers to establish indicators and metrics according to strategic profiles and business models common to certain groupings of parks. This research can be considered descriptive, methodological and applied. Based on the results provided by the bibliographic and documentary review on the central themes of the research, a conceptual adaptive model for monitoring and evaluating the performance of technology parks was developed. Aiming to demonstrate the applicability of this model in the context of different science and technology parks in Brazil and to explain its methodological differentials compared to other models reported in the specialized literature, an empirical study, focusing on the planning phase of the model, was carried out during 2016 with 26 participants of the 1st Course for Managers of Parks and Environments of Innovation, offered by Uni-Anprotec in partnership with Instituto Gênesis. The main contributions of the research are a flexible model for measuring and evaluating the performance of technological parks and sets of indicators and metrics associated with different types of parks.