Resumen. El proceso de revisión de la literatura es una parte compleja de las investigaciones cualitativas, cuantitativas y mixtas desarrollándose a lo largo de toda la investigación, desde la formulación del problema del estudio, pasando por la elaboración de un marco conceptual hasta el desarrollo de la discusión o diálogo teorético. El objetivo del presente trabajo se centra en ofrecer un procedimiento innovador que facilita una revisión sistemática de la literatura en investigaciones cualitativas basada en un proceso analítico metodológicamente estructurado, análisis documental, y apoyado por las posibilidades técnicas que ofrecen las herramientas informáticas como Mendeley o MAXQDA. El procedimiento metodológico de Análisis Documental Bibliográfico sirve como soporte al desarrollo del propósito de la investigación al establecer los límites investigadores del estudio, propicia la elaboración de un marco conceptual al permitir la articulación de indicadores a partir de conceptos y facilita el desarrollo de la discusión del estudio o diálogo teorético. El resultado es la fluida integración del material documental en una base de datos que sirve de apoyo a las paráfrasis resultantes siendo ésta una estrategia para resumir datos y elaborar categorías analíticas. El procedimiento se ha probado exitosamente en diferentes investigaciones aportando una mayor claridad al proceso de revisión de la literatura en investigaciones cualitativas.

En el presente trabajo de investigación se plantea como hipótesis que un modelo de tutorización proactiva, centrado en el acompañamiento y seguimiento continuo del estudiante online, mejora la tasa de aprobados y la satisfacción de los estudiantes. Para validar dicha hipótesis se describen y comparan los resultados de las encuestas de satisfacción y la tasa de aprobados de los cursos impartidos a través del Plan de Estudios Coordinados en Asesoría Financiera del Centro de Formación Permanente de la Universitat Politècnica de València, incluyéndose en el estudio 27 cursos que siguen un modelo de tutorización proactiva con un total de 5.613 estudiantes matriculados y una muestra de 2.500 cuestionarios y 30 cursos que siguen un modelo de tutorización reactiva con un total de 1.862 estudiantes matriculados y una muestra de 583 cuestionarios. Los resultados obtenidos permiten aceptar la hipótesis de partida confirmando que en los cursos que se ha seguido un modelo de tutorización proactiva la tasa de aprobados es un 27% más alta, y al respecto de la satisfacción del alumnado, en ambos tipos de tutorización, el patrón general de respuestas a las encuestas, con ciertas diferencias en la distribución de las mismas, es similar si bien, la satisfacción es más alta en los cursos que han seguido un modelo de tutorización proactivo, mientras que la insatisfacción es mayor en los de tutorización reactiva. In this research, we established the hypothesis that a proactive tutoring model, focused on the continuous monitoring and follow-up of the online student, improves the rate of approved students and student satisfaction. To validate this hypothesis, we describe and compare the results of the satisfaction surveys and the approved rate of the courses taught through the Coordinated Study Plan in Financial Advisory of the Center for Permanent Training of the Polytechnic University of Valencia. We included in the research 27 courses that follow a proactive tutoring model with a total of 5.613 students enrolled and a sample of 2.500 questionnaires and 30 courses that follow a reactive tutoring model with a total of 1.139 students enrolled with a sample of 583 questionnaires. The results obtained permit accepting the initial hypothesis, confirming that in the courses that a proactive tutoring model was followed, the approved rate is 27% higher and regarding student satisfaction in both types of tutoring the general pattern of responses to the survey, with certain differences in their distribution, were similar, although satisfaction is higher in courses that have followed a proactive tutoring model, while dissatisfaction is greater in those with a reactive tutoring.

The current use of natural resources in the textile industry leads us to introduce a new economic concept called inverse Malthusianism describing a context in which population grows linearly and resource consumption grows exponentially. Inverse Malthusianism implies an exponential increase in environmental impact that recycling may contribute to reduce. Our main goal is to extend the analysis of materials selection under the principle of equimarginality proposed by Jevons. As a first result, we show the particular circumstances under which policies excluding recycled supplies are never optimal. We also aim to overcome the difficulties of reducing environmental aspects to monetary units. To this end, we propose a multicriteria approach to solve the conventional-recycled materials dilemma considering not only economic but also environmental criteria. Then, we allow producers to enrich their decision-making process with relevant information about the environmental impact of materials selection. Although we use examples of the textile industry to illustrate our results, most of the insights in this paper can be extended to other industries.

Challenging the Efficient Market Hypothesis (EMH) has been a recurrent topic for researchers and practitioners since its formulation. Hundreds of empirical studies claim to either prove or disprove the EMH by means of a number of heterogeneous methods. Even though the EMH is usually adjusted to a measure of risk, there is a lack of a formal analysis within a multiple-criteria context. In this paper, we propose a extension of the EMH that accommodates the foundations of multiple-criteria decision analysis. To this end, we rely on a family of parametric signed dissimilarity measures to assess multidimensional performance differences. Since normalization is a critical step in our approach to avoid meaningless comparisons, we present two novel theoretical results connecting different normalization techniques. This multicriteria extension provides a common framework on which to add empirical evidence regarding the EMH testing.

Compromise programming (CP) aims to find solutions by minimising distances to an ideal point with maximum achievement which is usually infeasible. A common assumption in CP is that it is highly unlikely that the optimum decision will lie out of the bounds of the compromise set given by metrics p = 1 and p = ∞ of the Minkowski distance function. This assumption excludes the use of multiplicative functions as a measure of achievement. We propose geometric CP (GCP) to provide alternative solutions based on multiplicative functions to overcome this limitation. This methodology is an extension of CP that allows to incorporate the principle of limited compensability. An additional interesting feature of GCP is that, under reasonable assumptions, characterises extreme seekers' behaviour with non-concave utility functions (expressing no preference for any of the extremes). We discuss the practical implications of our approach and present three numerical illustrations in the context portfolio selection.