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This paper presents an approach for performing knowledge discovery in texts through qualitative and quantitative analyses of high‐level textual characteristics. Instead of applying mining techniques on attribute values, terms or keywords extracted from texts, the discovery process works over conceptss identified in texts. Concepts represent real world events and objects, and they help the user to understand ideas, trends, thoughts, opinions and intentions present in texts. The approach combines a quasi‐automatic categorisation task (for qualitative analysis) with a mining process (for quantitative analysis). The goal is to find new and useful knowledge inside a textual collection through the use of mining techniques applied over concepts (representing text content). In this paper, an application of the approach to medical records of a psychiatric hospital is presented. The approach helps physicians to extract knowledge about patients and diseases. This knowledge may be used for epidemiological studies, for training professionals and it may be also used to support physicians to diagnose and evaluate diseases.

The broader adoption of the internet along with web‐based systems has defined a new way of exchanging information. That advance added by the multiplication of mobile devices has required systems to be even more flexible and personalized. Maybe because of that, the traditional teaching‐controlled learning style has given up space to a new way of learning, which is more flexible and adequate to the learners needs. The purpose of this research is to go further into the semantic modeling of adaptive web based learning systems. Particularly, the paper focuses on those learning systems that consider in their definition the awareness of student's context in order to properly react to the student needs.

In this paper the authors introduce a semantic model of the student context in terms of an ontology network. This semantic model is explored in order to detect the “current situation” of students when they are navigating into e‐learning environments. The final objective is to enrich the adaptation functionality of e‐learning environments, being able to evaluate context data from personal profile, learning domain and technological situation.

In order to evaluate the semantic model defined, examples of detected situations are shown in accordance to specific e‐learning scenarios.

The paper covers definition of a flexible and modularized model by using ontology networks, which can be easily modified to incorporate new knowledge data, aiding the modeling of concepts from different learning environments.

The case-study building of this work is the Medieval Inn of Gralheira (“Pousada Medieval da Gralheira”) located in Vila Pouca de Aguiar, Portugal. This building is an example of the structures of that time, located in Trás-os-Montes, Portugal. A large amount of the built heritage suffers from advanced degradation, making the recovery, increasing the complexity of the rehabilitation and restoration intervention and implying a highly specialized interdisciplinary component. Therefore, the purpose of this paper is to carry out a study of the building in order to perform an analysis of its wood floor and assess its structural behaviour and conservation status. This work also presents some examples of intervention methods and rehabilitation techniques used to solve problems in the masonry structure and wood structures.

In this work, a numerical model of a wood pavement of a medieval building is presented, which was developed and calibrated with values obtained in an experimental campaign of wood specimens extracted from the floor structure and the deformation measured in situ. This model aims to analyse and predict the behaviour of the structure in terms of serviceability limit states. Rehabilitation and reinforcing techniques are described, for specific damages, complemented with a critical comparative analysis to define the most appropriate rehabilitation measures for each situation.

In this work, for the numerical model of the medieval building under consideration, the support of the beams in the walls between 50 per cent embedded and simply supported (hinge supports) was used. Since the beams have some restriction imposed by the wall, they have a delivery about 20 cm in the wall. The consideration of the delivery between beam and columns as simply supported (hinge supports) is a reasonable approximation. There is a difference between the values of deformation obtained in the numerical model and in situ due to the support conditions and also due to the consideration of the pavement loads as a distributed load, which does not correspond entirely to reality, since the pavement confers rigidity to the floor, behaving like a diaphragm. The presented intervention techniques are not applicable in all structures because each building has different characteristics, in terms of materials and construction. The pathologies occur due to many sources and each case is unique, and must be carefully studied before taking decisions about the rehabilitation methods to use.

This work presents a numerical model of wood pavement of a medieval building developed according to some experimental values obtained in an experimental campaign using wood specimens extracted from original beams and based on in situ measurements. This study is part of master thesis of Michael Andrade, an original research work.

In a world where sustainability is a major aim at all socioeconomic levels, social entrepreneurship plays an important role in achieving the goals that have been set. The purpose of this study is to broaden the knowledge of social start-ups, social incubators and founding teams, highlighting the value of each one. The aim is to use quantitative analysis to determine the possible link between social incubators and social start-up success and identify the founding team profile of social start-ups from each sector according to a sector-based ranking.

Bootstrap data envelopment analysis (DEA) was used to calculate the efficiency of social incubators and social start-ups and thus quantify the impact, in terms of increased efficiency, of social incubators on social start-ups. Then, using cross-efficiency methodology, a synthetic index was used to analyse the founding team profile of social start-ups. The study is based on primary data from a survey of Spanish social incubators and social start-ups.

The study provides strong quantitative evidence of the positive effect of social incubators on the development of social start-ups. The size of this effect exceeds the know-how of start-ups. In terms of efficiency gains, this research quantifies the impact of social incubators on this entrepreneurial ecosystem. This impact exceeds 35%. The study also shows that the strongest social start-ups are in the food and information and communication technology (ICT) sectors. The founding teams in these cases have a strong business background, have a high educational level, receive subsidies and express a desire to retain control of the company.

There is an extensive literature dedicated to the analysis of the behaviour and characteristics of traditional incubators, accelerators and start-ups. However, despite the recent rise of social entrepreneurship, studies of social incubators and social start-ups remain scarce. This study provides two novel findings. (1) It shows the importance of creating a social start-up in a context where it receives support throughout all its development stages, providing quantitative insight into the contribution of social incubators and social start-ups. (2) It reveals the profile of founding teams in the highest-ranked business sectors.

This paper presents an overview of Latin American (LA) publications on corporate social responsibility (CSR) and closely related themes that appear in ISI Thompson Reuters Social Science Citation Index journals, in the period 2000-2017. The purpose of this paper is twofold. The first is to understand the institutional context in which this research is being produced, and to reflect on how it can be improved. The second is to map out key research strands in this literature, to discuss its achievements and limitations, and identify opportunities for future research.

A quantitative-qualitative systematic review was performed using a standard bibliometric approach. A total of 148 articles from 36 journals, indexed in the ISI Thompson Reuters Social Science Citation Index, were selected and analyzed. A systematic analysis was performed, based on a review protocol, which comprised following eight steps: research objectives, article search, articles selection, article identification, root themes coding, data coding, data coding validation and content analysis.

Research about CSR Latin America features a very low citation record. It is also very fragmented. Both of these characteristics reflect little conversation amongst scholars publishing on this topic in indexed venues. More generally, participation in these venues reflects the location of scholars working on this topic as peripheral actors in scholarly conversations. The study identifies many opportunities for future research that attend to key issues that are relevant for Latin America and that will stimulate a more dynamic conversation among scholars interested in the region.

First, this study is limited to articles on CSR research on LA published in ISI journals. It does not show the whole trend of other academic and managerial publications in the region. Second, although the articles selected were retrieved based on 17 search terms derived from the theoretical framework, the complexity of CSR-related themes and its evolution could have caused some terms, and therefore publications, to be left out.

Results provide scholars interested in the region with updated information about the state of research on the topic and about opportunities for future research. They also provide business schools in the region with a valuable input for a comprehensive reflection on research policy.

In the 30th anniversary of Academia (Revista Latinoamericana de Administración), this study offers recommendations on how research on CRS in Latin America could be made more visible and relevant.

This is the first bibliometric analysis of scholarly publications on CSR and related issues in Latin America. It is also unique in addressing institutional factors that may be conditioning intellectual production on the topic.

Este artículo presenta una descripción general de las publicaciones sobre América Latina (AL) acerca de la Responsabilidad Social Empresarial (RSE) y temas estrechamente relacionados que aparecen en las revistas del Índice ISI Thompson Reuters de Ciencias Sociales, en el período 2000-2017. El propósito de este estudio es doble. El primero es comprender el contexto institucional en el que se está produciendo esta investigación, y reflexionar sobre cómo se puede mejorar dicho contexto. El segundo es trazar líneas de investigación clave en esta literatura, para discutir sus logros y limitaciones, e identificar oportunidades para futuras investigaciones.

Se realizó una revisión sistemática cualitativa-cuantitativa utilizando un enfoque bibliométrico estándar. Se seleccionaron y analizaron un total de 148 artículos de 36 revistas indexadas en el Índice de citas de Ciencias Sociales de ISI Thompson Reuters. Se realizó un análisis sistemático, basado en un protocolo de revisión que comprendía ocho pasos: objetivos de la investigación, búsqueda de artículos, selección de artículos, identificación de artículos, codificación de temas raíz, codificación de datos, validación de codificación de datos y análisis de contenido.

Las publicaciones sobre RSE en AL presentan un registro de citas muy bajo, además de muy fragmentado. Ambas características reflejan poca conversación entre los académicos que publican sobre este tema en revistas indexadas. En términos más generales, la participación en estas publicaciones refleja la ubicación de los académicos que trabajan en este tema como actores periféricos en las conversaciones académicas. El estudio identifica muchas oportunidades para futuras investigaciones que atienden temas clave que son relevantes para AL y que estimularán una conversación más dinámica entre los académicos interesados en la región.

En primer lugar, este estudio se limita a artículos sobre investigación de RSE en AL publicados en revistas ISI. No muestra la tendencia general de otro tipo de publicaciones académicas y gerenciales sobre la región. En segundo lugar, aunque la búsqueda en esta investigación se hizo con base en 17 términos derivados del marco teórico, la complejidad de los temas relacionados con la RSE y su evolución podrían haber ocasionado que algunos términos, y por lo tanto publicaciones, hayan quedado fuera del análisis.

Los resultados proporcionan a los estudiosos interesados en la región información actualizada sobre el estado de la investigación sobre el tema y sobre las oportunidades para investigaciones futuras. También le ofrecen a las escuelas de negocios de la región un aporte valioso para una reflexión integral sobre la política de investigación.

En el 30 aniversario de Academia (Revista Latinoamericana de Administración), este estudio ofrece recomendaciones sobre cómo la investigación sobre RSE en AL podría hacerse más visible y relevante.

Este es el primer análisis bibliométrico de publicaciones académicas sobre RSE y temas relacionados en AL. También es único al abordar los factores institucionales que pueden condicionar la producción intelectual sobre el tema.

The purpose of this paper is to identify the relationships between process modeling and Industry 4.0, the strategic themes and the most used process modeling language in smart factories. The study also presents the growth of the field of study worldwide, the perspectives, main challenges, trends and suggestions for future works.

To do this, a science mapping was performed using the software SciMAT, supported by VOS viewer.

The results show that the Business Process Model and Notation (BPMN), Unified Modelling Language (UML) and Petri Net are the most relevant languages to smart manufacturing. The authors also highlighted the need to develop new languages or extensions capable of representing the dynamism, interoperability and multiple technologies of smart factories.

It was possible to identify the most used process modeling languages in smart environments and understand how these languages assist control and manage smart processes. Besides, the authors highlighted challenges, new perspectives and the need for future works in the field.