ABSTRACT
Innovation has never been as important as it is now to solve the problems caused by COVID-19 and the socioeconomic crisis. In this context, and within the framework of an economy based on knowledge and change, economic and social agents need open innovation to generate competitiveness and development. For their part, universities need to increase technological production as a source of innovation. In the literature there are models of innovation, but they do not present a method to move from basic to technological research. Aim of this work was to fill, in part, this gap. Under the qualitative approach, the Open Innovation model, the Technological Maturity Levels method and the Pedagogical Accompaniment model were selected to develop a post-COVID-19 route to intensify innovation. The article contributes to knowledge with a methodology that allows expanding the performance of researchers and raising the technological level of universities towards competitiveness. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
In the context of the pandemic caused by the COVID-19 disease, many countries established protection measures. In Peru, face-to-face studies were suspended and virtualized education was established as an alternative. Doctoral students took advantage of the new way of on-line learning, even without being prepared for it. The need to have categories of perception on virtualized doctorate courses was raised. The objective was to design an online perception instrument on virtual learning of doctoral studies in the context of COVID-19. The research was qualitative with phenomenological design, theoretical validation and expert opinion. The sample was non-probabilistic and a posteriori. In-depth interview was applied. Categorization based on the saturation principle and the triangulation technique were used. 40 units of analysis, 20 study categories, 42 subcategories and 30 items were obtained. It was concluded that there are four categories to design the online instrument: quality, characteristics, advantages and satisfaction. © 2020 ACM.