https://hdl.handle.net/10259/6194 2026-05-11T23:35:48Z https://hdl.handle.net/10259/11328 Youth Anti‐Corruption Potential: Insights From Germany, Lithuania and Spain Juknevičienė, Vita; Toleikienė, Rita; Balčiūnas, Sigitas; Leach, Nora; Baumgärtler, Thomas; Antón Maraña, Paula; Díez Hernández, Julieta Corruption is universally recognised as one of the biggest challenges for modern societies. Its negative impact on economies and institutions, as well as its erosive effect on citizen trust and state stability, pose a significant strain on good governance. Due to its pervasive nature, implementation of anti-corruption policies and education require persistent efforts and dedication. Understandably, young people are identified as the most important cohort within society, which should be well prepared to address all challenges associated with the malpractice. According to the Theory of Planned Behaviour, knowledge must be transformed into perception, followed by the adoption of a suitable attitude, which should then be reflected in future behaviour. As such, it is paramount to ensure that young individuals are able to comprehend the negative impact of corruption, identify the malpractice, and be prepared to inform the relevant authorities when faced with acts of corruption. This set of competences is referred to as anti-corruption potential. It is shaped by the cultural, societal and institutional constraints of the country (region) as well. It consists of three main elements—perception (knowledge), attitude (values) and behaviour. The aim of this paper is to evaluate the current dynamics of youth anti-corruption potential in three European countries—Germany, Lithuania and Spain. For its purposes, a survey was conducted amongst 1,922 young individuals, aged 15–29, who are currently in education. The countries selected represent three main EU regions—Western, Eastern and Central and Southern Europe. The results demonstrate that corruption is universally recognised as an existing challenge. However, Lithuanian and German young people exhibit higher intolerance towards the malpractice, whilst Spanish youth demonstrate the most positive attitude in regard to integrity as a contributing factor to personal success. Moreover, the majority of respondents from all three countries assert that their decision to report suspected or witnessed acts of corruption would be made after a thorough deliberation, taking into account the specific circumstances and the context of the situation. Results further indicate that anti-corruption education programmes should become an indispensable part of the educational process. However, such programmes must be tailored to reflect the cultural specificities of the society and the unique needs of the youth. This research makes a major contribution regarding the anti-corruption potential of young people across diverse European contexts. It further demonstrates how regional and cultural variations shape perceptions, attitudes and behaviour towards corruption. As such, increasing understanding of the social and cultural context in which corruption occurs—both at personal as well as state level—should be considered a priority by policymakers and practitioners. 2025-01-01T00:00:00Z https://hdl.handle.net/10259/11319 How does sustainable development education shape motivations for using collaborative consumption platforms? Antón Maraña, Paula; Pérez Cornejo, Clara; Rodríguez Torrico, Paula Purpose – Current consumption patterns have aggravated environmental degradation. In response, collaborative consumption (CC) through collaborative platforms (CPs) has emerged as a sustainable alternative. Although CPs can support sustainability, their environmental benefits remain contested, following the observation of consumerism rebound effects. Given education’s potential to increase knowledge about the importance of sustainability, this study aims to explore the impact of sustainable development education (SDE) on the extrinsic motivations (functional utility, economic utility, moral utility and hedonic utility) and intrinsic motivations (ecological awareness, eco-anxiety, green orientation and consumerism) that improve attitudes toward CPs and increase intentions to use them. Design/methodology/approach – This research is based on two studies, each using a different sample: one of high school students (N = 232) and one of older people enrolled in a lifelong learning program (N = 157). A questionnaire collected the data that were analyzed to test the research hypotheses. Findings – SDE significantly influences intrinsic and extrinsic motivations. The results suggest that CPs are primarily used for commercial rather than sustainability purposes because attitudes are predominantly shaped by extrinsic motivations. In addition, motivators play a mediating role in the proposed model. Practical implications – This study highlights critical social and practical implications by emphasizing the need for educational systems that promote responsible consumption and challenge students’ consumeristic and materialistic tendencies. Originality/value – To the best of the authors’ knowledge, this study is the first to examine the influence of SDE on CC and comprehensively explore the roles of intrinsic and extrinsic motivations in the context of CPs, shedding light on the CC paradox. 2025-10-01T00:00:00Z https://hdl.handle.net/10259/10945 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 https://hdl.handle.net/10259/10938 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