The objective of this study was to identify the factors that influence learning in technology management and innovation in management students in Medellin (Colombia) through the model of technological acceptance. A quantitative and correlational methodology was used, based on an exploratory factor analysis and a confirmatory factor analysis. Information was collected with a questionnaire based on the Likert scale and a survey was applied to a sample of 411 students. The results showed the importance of self-efficacy, userfriendliness and perceived utility as drivers of learning processes and acceptance of the value of technology and innovation management. However, there are still some gaps in the training processes, such as lack of subjects, contents and sufficient information around the subject. It is concluded that relevant training in this field can be decisive to increase the employability of management professionals and to increase the contribution to the improvement of business competitiveness and sustainability.
Este estudio tiene como objetivo determinar los factores que influyen en la decisión de compra de los habitantes millennials de la ciudad de Medellín (Colombia) a través de medios virtuales, a partir de la teoría del comportamiento planeado. La metodología es de tipo exploratoria-descriptiva con enfoque cuantitativo de alcance correlacional. Se recolectaron 350 encuestas auto-administradas. Se cuantificaron los niveles de asociación entre las dimensiones del modelo propuesto utilizando el estadístico D de Somers. Los resultados muestran la capacidad explicativa del modelo y revelan los factores (actitud y control percibido) que explican la intención de uso del comercio-e por parte de los millennials. Se concluye que la intención de compra y conducta se produce cuando la experiencia del usuario es satisfactoria, o cuando el servicio recibido y lo experimentado corresponde con las expectativas generadas alrededor del servicio.
The development of free software includes information processing that generalizes variables according to the interaction and needs that they pose in a given area; it should also be noted that data visualization and interactions with them are the first candidates to evaluate the evolution and trends of a population; likewise, data analysis, data processing, data architecture, data protection and data management systematizes a set of information that communicates and connects the most representative variables of a population: trajectories, environment, traffic, speeds, technologies, synchronization of elements, among others.
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