https://hdl.handle.net/10259/4387 2026-04-28T16:42:46Z 2026-04-28T16:42:46Z Arranz Val, Pablo Puche Regaliza, Julio César Antón Maraña, Paula https://hdl.handle.net/10259/10945 2025-10-09T00:05:34Z 2020-06-01T00:00:00Z

Quality in organizations: its capacity for transformation to create sustainable value Arranz Val, Pablo; Puche Regaliza, Julio César; Antón Maraña, Paula This paper shows the growing importance of the commitment of people and organizations to continuous personal, institutional and social improvement in order to generate sustainable value. It analyzes the evolution of the concept of quality in the different development stages of the organizations and specifies the main systems of recognition of quality and excellence at a global level, obtaining the results of the recognitions with the systems of the International Organization for Standardization (ISO) and European Foundation Quality Management (EFQM) both by sectors and by countries in the last years. The progress has been significant and there is still a long way to go to achieve, as far as possible, the Sustainable Development Goals proposed by the United Nations for 2030. The proposal for the new EFQM Model will undoubtedly contribute to achieving the SDGs. Because the model offers a framework and methodology to help with the changes, transformation and disruption that people and organizations face every day by measuring where they are on the path to sustainable value creation.

2020-06-01T00:00:00Z Antón Maraña, Paula Baruque Zanón, Bruno Porras Alfonso, Santiago Arranz Val, Pablo https://hdl.handle.net/10259/10938 2025-10-09T00:05:34Z 2023-01-01T00:00:00Z

Tourism Reputation Index for Assessing Perceptions on Destinations Using Collaborative Text Data Antón Maraña, Paula; Baruque Zanón, Bruno; Porras Alfonso, Santiago; Arranz Val, Pablo The tourism sector is experiencing a change in trend due to the widespread use of Web 2.0 by tourists. This phenomenon has prompted tourism agents to apply Big Data techniques and Business Intelligence () tools to find out what tourists think. In this sense, the analysis of the Electronic Word Of Mouth in Social Networks is particularly relevant, and the academic literature has faced some difficulties in extracting data, determining its meaning and linking it to the destination. The aim of this work is to is to present the results that can be generated by the design of a tourism reputation index, through the analysis of data created collaboratively on the Twitter Social Network. For this purpose, a BI tool has been created to extract data from short text messages posted by users (tweets) and process them by implementing an Extract, Transform and Load process. In this process, Natural Language Processing is carried out, focusing on Sentiment Analysis tasks, applying an automatic classification model (Multinomial Naive Bayes) and then an automatic thematic categorisation of these texts depending on the words they contain. Subsequently, the data is analysed, calculating a global online reputation index based on sub-indexes of perception on different tourism aspects. These ratings are shown to users through an interactive dashboard, which allows comparison between different queries associated with a tourist location and a temporal period. This research helps tourism agents to better understand the public perception about destinations and make appropriate and well-informed decisions in real time, facilitating the intelligent management of data that enables the creation of smart tourism destinations with competitive, unique and sustainable advantages.; El sector turístico está experimentando un cambio de tendencia ante el uso generalizado de la Web 2.0. por parte de los turistas. Este fenómeno ha impulsado a los agentes turísticos a aplicar técnicas Big Data y herramientas de Inteligencia de Negocio (IN) a la hora de conocer qué piensan y qué desean los turistas. En este sentido, toma especial relevancia el análisis del Electronic Word Of Mouth en las Redes Sociales, y la literatura académica ha encontrado algunas dificultades al extraer datos, determinar su significado y vincularlo con el destino. El objetivo de este trabajo es presentar los resultados que se pueden obtener con el diseño de un índice reputacional turístico, por medio del análisis de los datos creados de manera colaborativa en la Red Social de Twitter. Para ello, se ha creado una herramienta de IN que permite extraer datos de los mensajes cortos de texto publicados por los usuarios (tweets) y procesarlos mediante la implementación de un proceso de Extract, Transform and Load. En este proceso, se realiza un Procesamiento del Lenguaje Natural, centrado en tareas de Análisis de Sentimientos, aplicando un modelo de clasificación automática (Multinomial Naive Bayes) y, seguidamente, una categorización temática automática de estos textos en función de los términos que contengan. Posteriormente, se analizan los datos, calculando un índice de reputación online global a partir de subíndices de percepción sobre diferentes aspectos turísticos. Estos índices se muestran a los usuarios mediante un cuadro de mando interactivo, que permite comparar entre diferentes consultas asociadas a una localidad turística y a un periodo temporal. Este trabajo contribuye a que los agentes turísticos conozcan la percepción sobre los destinos y tomen decisiones adecuadas e informadas en tiempo real, facilitando una gestión inteligente de los datos que permita crear destinos turísticos inteligentes con ventajas competitivas, únicas y sostenibles.

2023-01-01T00:00:00Z Aparicio Castillo, Santiago Arranz Val, Pablo Alvear González, Arturo Antón Maraña, Paula Puche Regaliza, Julio César https://hdl.handle.net/10259/10934 2025-10-10T08:25:50Z 2023-06-01T00:00:00Z

Target points as survey locations: Touristic Potentiality Index of the Burgos province Aparicio Castillo, Santiago; Arranz Val, Pablo; Alvear González, Arturo; Antón Maraña, Paula; Puche Regaliza, Julio César Este trabajo analiza un inventario de los recursos turísticos de la provincia de Burgos (España) e identifica con dicho inventario los municipios con una mayor atracción turística, identificando también así los puntos diana que facilitan la planificación del proceso de trabajo de campo para obtener la opinión de los turistas. Para proporcionar una aproximación analítica, este estudio adopta una técnica cuantitativa para la construcción de un índice sintético ponderado siguiendo un proceso jerárquico. Losresultados muestran que la provincia de Burgos destaca por su elevado patrimonio natural o paisajístico, con acceso a través de carreteras secundarias y con una elevada oferta de hoteles y casas rurales, así como restaurantes y cafeterías. Ferias declaradas de interés, accesos a través de ferrocarril y oferta de albergues, apartamentos y campings ofrecen unos valores menos destacados. El trabajo propone la realización de alrededor de 383 observaciones en cada uno de los ocho puntos diana identificados. Los resultados obtenidos son los suficientemente claros como para motivar a los tomadores de decisiones a dirigir sus esfuerzos e inversiones en mejorar y ajustar sus estrategias para incrementar la calidad de la oferta y la demanda en el sector turístico.; This work analyzes an inventory of the touristic resources of the province of Burgos (Spain) and identifies with it the municipalities with the greatest touristic attraction, thus identifying the target points that facilitate the planning of the fieldwork process to obtain the opinion of tourists. To provide an analytical approach, this study adopts a quantitative technique by constructing a weighted synthetic index following a hierarchical process. The results show that the province of Burgos stands out for its high natural or landscape heritage, with access through minor roads and with a high offer of hotels and rural houses as well as restaurants and cafeterias. Fairs declared of interest, access by rail and the offer of hostels, apartments and campsites offer fewer outstanding values. The work proposes the realization of around 383 observations in each of the eight target points identified. The results obtained are clear enough to motivate decision-makers to address their efforts and investments in improving and adjusting their strategies to increase the quality of offer and demand in the touristic sector.

2023-06-01T00:00:00Z Puche Regaliza, Julio César Jiménez Palmero, Alfredo Arranz Val, Pablo https://hdl.handle.net/10259/10022 2025-01-24T01:05:43Z 2019-05-01T00:00:00Z

Diagnosis of Software Projects Based on the Viable System Model Puche Regaliza, Julio César; Jiménez Palmero, Alfredo; Arranz Val, Pablo This work aims to identify the shortcomings that may impair or endanger the viability of software projects, and attemps to reduce their failure rates. A diagnosis based on the Viable System Model of software projects is shown. The data collection processes necessary to make a diagnosis have been carried out through a questionnaire and personal interviews with 38 companies in the Information and Communications Technology (ICT) sector. The subsequent descriptive analysis allows us to detect 8 weak points in the organizational structure of the software projects. We highlight two of the 8 weak points in particular: the nondefinition of the next lower level of recursion and the need to improve the exploration mechanisms used to evaluate future scenarios. Although the sample seems small, a great effort was expended to interview the 38 companies due to an extension of the interview time (approximately 75 min) and the confidentiality and complexity of the topic, which required gathering a high level of detail and in-depth information on each of the projects and companies in the survey. This work offers managers a detailed reference for the diagnosis or design of viable software projects. The novel aspect of the work focuses on the application of the Viable System Model for proposing organizational changes in the development of software projects. This holistic perspective of the organizational structure of software projects will allow an increase in their success rate.

2019-05-01T00:00:00Z