Proposta de um modelo quali-quantitativo de avaliação de programas acadêmicos de inovação a partir da análise ex post facto do PII - Programa de Incentivo a Inovação

Abstract

This dissertation, which addresses the issue of metrics and models for evaluating innovation programs, aims to propose a qualitative-quantitative model based on a set of indicators to evaluate programs to stimulate innovation based on an ex-post-facto study. of the PII – Minas Gerais Innovation Incentive Program. It consists of an explanatory and qualitative-quantitative research, which uses the Delphi method. The research was carried out with researchers and strategic managers of the PII. 281 questionnaires were applied using the Google Forms tool. The methods used contemplated the analysis of the answers in a qualitative and quantitative way, in a way that sought to exhaust the scope of the proposed indicators and the data measured by the drawn equations. The results found signaled the need to consider different elements in the planning of the programs, and in the selection, conduction and monitoring of the projects, for the adequate control and evaluation of the innovation programs. Based on the perceptions captured, the proposed model could be used to prepare the classification criteria and to prepare the questions in the questionnaire of the Escale-se program, also in Minas Gerais. In turn, the results suggest a need for greater understanding of the particularities of the context of innovation programs, as well as the factors around each initiative, capable of influencing the good results of the programs and which, therefore, must be measured in a way correct throughout the journey from program planning. Finally, it was found that the adaptation of indicators from previously established scenarios according to the context of innovation programs is capable of significantly influencing the model to be used for the evaluation of innovation programs.