A maturity model is a widely used tool in software engineering and has mostly been extended to domains such as education, health, energy, finance, government, and general use. It is valuable for evaluations and continuous improvement of business processes or certain aspects of organizations, as it represents a more organized and systematic way of doing business. In this paper, we only focus on college higher education. For this reason, we present a novel approach that allows detecting some gaps in the existing maturity models for universities, as they are not models that address the dimensions in their entirety. To identify these models and their validities, as well as a classification of models that were identified in universities, we carried out a systematic literature review on 27,289 articles retrieved with respect to maturity models and published in peer-reviewed journals between 2007 and 2020. We found 23 articles that find maturity models applied in universities, through exclusion and inclusion criteria. We then grouped these items into nine categories with specific purposes. We concluded that maturity models used in Universities move towards agility, which is supported by the semantic web.

Air pollution due to air contamination by gases, liquids, and solid particles in suspension, is a great environmental and public health concern nowadays. An important type of air pollution is particulate matter with a diameter of 10 microns or less ($${\text {PM}}_{10}$$ PM 10 ) because one of the determining factors that affect human health is the size of particles in the atmosphere due to the degree of permanence and penetration they have in the respiratory system. Therefore, it is extremely interesting to monitor and understand the behavior of $${\text {PM}}_{10}$$ PM 10 concentrations so that they do not exceed the established critical levels. In this work, we will study the $${\text {PM}}_{10}$$ PM 10 concentrations in all available monitoring stations in the Brazilian state of Minas Gerais. To better understand its behavior, we will provide a spatio-temporal visualization of the $${\text {PM}}_{10}$$ PM 10 concentrations. Besides the descriptive and visualization analysis, we consider six standard and advanced time series models that will be used to fit and forecast $${\text {PM}}_{10}$$ PM 10 concentrations, with application to three locations, one in Belo Horizonte, the Minas Gerais state capital, and the monitoring stations with the lowest and highest average $${\text {PM}}_{10}$$ PM 10 concentration levels.

Se muestra una propuesta para la Optimización y la Cuantificación de Procesos usando herramientas Business Process Management (BPM) en el ámbito universitario. Se optimizó y automatizó el Proceso de Gestión de Prácticas Pre Profesionales (PGPP) de la Universidad Peruana Unión, filial Tarapoto (UPeU FT). El desarrollo del modelo se realizó en función a entrevistas en el nivel operativo como a nivel de dirección, la optimización del proceso se efectuó utilizando una herramienta para la construcción de modelos BPM. La herramienta cuenta con diferentes utilitarios los cuales permitieron redefinir los procesos, subprocesos, tareas, entregables, roles, responsabilidades. En términos de la medición de efectividad del proceso propuesto se implementó en la solución una serie de Key Performance Indicators (KPI’s) que permitieron la medición de la efectividad de la solución puesta. El enfoque cuantitativo, así la definición y trabajo con los indicadores fueron definidos en función a los diversos principios expuestos en la metodología de BPM.

La presente investigación tiene como propósito identificar similitud de estructura entre un Modelo de Gestión Estratégica Balanced Scoreard  (BSC) y el Modelo de Gestión por Procesos; de tal forma que se pueda diseñar una herramienta de control, basada en la estructura identificada, que pueda servir tanto para el Control Estratégico como para el Control Operacional. Se han definido dos modelos, representando dos formas complementarias de analizar la gestión empresarial, se presenta una estructura similar para controlar la estrategia y controlar los procesos, ambos temas muy diferentes.