as a particular type of organization within the structure of the Higher Education System, have become significantly relevant in explaining some of the causes of the development achieved in different countries over the last years. The literature has focused on the efficiency levels of Higher Education Institutions (HEI), as well as on the main factors that might account for the calculated efficiency rates. In this regard, DEA has been one of the most widely used techniques to estimate efficiency and explain the influence of each input and output in obtaining the coefficient (Liu et al. 2013). One of the main reasons that explain the use of a nonparametric methodology in the analysis of efficiency in higher education institutions is related to the possibility of working with multiple outputs and multiple inputs simultaneously, in conjunction with the parametric methodologies traditionally employed in the study of efficiency (see Emrouznejad et al. 2008; Aristovnik and Obadić 2014). Additionally, the characteristics of the university system naturally lead to rely on a model that considers more than one output, since, apart from providing with higher education degrees to graduates, universities play an important role in scientific production, not only through the integration
This investigation seeks to determine the relationship between working capital as a financial measure and the efficiency level of construction companies. The study sample is intentional, with 58 participating companies, from which the financial information was obtained in a time horizon of four years (2011-2014). In the first stage efficiency was assessed using Data Envelopment Analysis (DEA), and in the second stage Tobit regression model was applied in order to identify the relationship between the variables. Efficiency levels evaluated show a reduction in the average efficiency in the construction sector for the years 2012 and 2013, and the regression results do highlight a positive link between efficiency and working capital for all years, which indicates that a common financial strategy based on reducing working capital does not lead to an increase in the efficiency level of construction firms. This research can benefit not only Ecuadorian construction companies, but others who wish to improve their competitive advantage based on their financial information.
El objetivo de este trabajo es construir un indicador compuesto, consistente y confiable, para evaluar las condiciones fisiológicas de un grupo de pacientes bajo tratamiento de hemodiálisis. Los indicadores compuestos, desarrollados a partir de indicadores individuales, tienen la ventaja de poder interpretarse rápidamente y dar a quien toma las decisiones una orientación sobre los procedimientos a seguir. El propósito es proporcionar un indicador de gestión que ayude a optimizar el funcionamiento del servicio hospitalario para brindar a los pacientes el máximo de cuidado. Para formalizar el indicador compuesto se consideraron los laboratorios clínicos realizados a los pacientes antes del proceso de hemodiálisis. La idea central del estudio es realizar un ranking de los pacientes sustentado en los criterios que fundamentan las condiciones fisiológicas de cada uno de ellos. El estudio se realizó en un importante hospital de la ciudad de Córdoba, Argentina. Para resolver el problema se aplicó el método multicriterio de apoyo a las decisiones Reference Ideal Method. Se han propuesto modificaciones a la técnica originaria para que sea posible trabajar con varios intervalos ideales de referencia en un mismo criterio. La consulta a expertos para determinar los criterios de la evaluación y los pesos relativos asignados a cada uno de ellos se cumplimentó respetando las formalidades del método de indagación Delphi.
The Universidad Nacional de Córdoba founded in 1613 is the oldest and one of the largest in the country. In 2011 it had 121,476 undergraduate students, 9,156 teaching positions and 83 degree programs. The university has 13 academic units, two pre-college high schools, two teaching hospitals and a blood lab. Like any college, the Universidad Nacional de Córdoba aspires to excellence in its core mission: teaching, research and extension. The purpose of this paper is to make a contribution in this direction by analyzing and comparing the performance of academic units between 2007 and 2011. The study uses a nonparametric mathematical programming model, which allows to study the problem in a multiple input -multiple outputs. Variables were considered, the teachers and nonteaching positions, the number of undergraduate students, research projects and undergraduate courses offered by each academic unit. The results allow comparing the evolution of the performance of each academic unit and provide guidelines to improve the performance of inefficient units.
<p>En este trabajo se propone un método de decisión multicriterio discreto para facilitar la tarea de decidir en grupo la selección de candidatos a determinado puesto de trabajo. El objetivo del grupo decisor es acordar un orden de mérito de los aspirantes. En el modelo propuesto se utiliza distancia a un ideal para lograr un orden mérito individual. Se sintetizan e integran las prioridades individuales proporcionadas por los múltiples evaluadores en una decisión única mediante la aplicación de la media geométrica. El método desarrollado no presenta reversión de rango.</p><p>La metodología se aplica a un caso real de selección de postulantes a cargos docentes. Se observó que el modelo facilita la tarea del tribunal y otorga transparencia y legitimación del dictamen final. Desde el punto de las decisiones grupales, el orden final resulta equitativo si se considera que se construye y se conforma a partir de las decisiones individuales de cada evaluador</p>
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