Science (Universidade Europeia)
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Relatório de diagnóstico e análise temática: Inteligência Artificial no Jornalismo em Portugal
No full textVideo gaming and its effects on mental health in portuguese higher education students: An exploratory analysis
No full textBackground: Depression, anxiety, and stress are increasingly prevalent among university students, raising concerns about the role of video gaming behaviors, social support, and academic factors in mental health. Internet Gaming Disorder (IGD), recognized in international classifications, has been linked to psychological distress but remains underexplored in Portuguese higher education students. Objective: This study aimed to examine the relationships between IGD, social support, academic performance, and mental health outcomes. Methods: A cross-sectional survey was conducted with Portuguese university students, collecting sociodemographic information, gaming habits, academic performance, social support, and mental health indicators. Data analyses included non-parametric tests, Spearman correlations, and multiple linear regression models to explore group differences, associations, and predictors of mental health outcomes. Results: No significant gender or age differences were observed in social support or mental health. Students living with parents, engaging in multiplayer gaming, and exercising regularly reported higher social support. Social support correlated negatively with depression, anxiety, and stress, whereas IGD correlated positively with these symptoms. Regression analyses identified academic performance, IGD, and intimacy as predictors of depression; family satisfaction as a predictor of anxiety; and family satisfaction and academic performance as protective factors against stress. Conclusions: Findings highlight the interplay of behavioral, social, and academic factors influencing students’ mental health. Effective interventions should reinforce family support and students’ academic self-efficacy, alongside fostering responsible gaming practices. Limitations include cross-sectional design and self-reported measures, indicating the need for longitudinal studies
AI and gender perspectives in startup environments: Mitigating bias, challenging stereotypes, and design implications
No full textGender bias in artificial intelligence systems remains a critical challenge, particularly in workplace applications where AI increasingly influences decision-making processes. Through an integrative literature review, the study examines the multifaceted role of AI in addressing recruitment practices and systemic bias, while critically evaluating the limitations and potential consequences of technological interventions. To complement the theoretical analysis with empirical data, a semi-structured questionnaire was administered to 47 professionals (23 from Brazil and 24 from Portugal) working in startup environments. The survey explores how gender influences AI tool adoption, trust levels, and perceptions of workplace equality. Findings highlight the importance of intersectional and inclusive design as a key strategy for mitigating bias and provide concrete examples of AI-driven solutions aimed at reducing gender inequalities in the workplace. By offering empirical evidence from startups and practical recommendations for organizations, this research contributes to the growing discourse on AI bias. The results underscore the urgent need for diverse stakeholder involvement throughout the AI development lifecycle to foster more equitable systems and prevent the reinforcement of gender bias and stereotypes
Use of online shop chatbots: How trust in seller moderates brand preference and purchase intention
No full textThis study examines the role that chatbots, an application of AI in e-commerce customer service, play in increasing online trust in brands and how, from this trust, interaction with chatbots can impact brand preference and purchase intention A conceptual model based on the Technology Acceptance Model (TAM) and Information System Success Model (IS) is proposed to understand the relationships between the utility, ease-of-use, and responsiveness of a chatbot, online trust, brand preference, and purchase intention. Based on a sample of Spanish consumers, this study provides a better understanding of how to build trust online and how this can strengthen the relationship with the consumer and lead to a purchase. At the same time, it alerts professionals to the need to design chatbots that are useful and respond efficiently and quickly in their customer service. The results of our study aim to help brands in designing chatbots to provide e-services that consolidate customer relationships and foster sales
Innovation impact in the textile industry: From the Toyota production system to artificial intelligence
No full textThe Toyota Production System (TPS) was a revolutionary approach to automobile production that influenced companies all over the world. The fight against redundancy is at the core of this approach. The textile industry remains one of the most polluting sectors worldwide, which makes environmental sustainability a key concern. In line with national priorities, companies are striving to balance profitability with sustainability, minimizing defects and reducing waste. This study explores the evolution of textile production systems from TPS principles to the integration of Artificial Intelligence (AI) and how they can be used from a sustainability perspective. Smartex, a textile start-up recognized as the winner of the Web Summit 2021 competition, was chosen as the focus of this case study. Employing qualitative research methods, including content analysis of interviews, management reports and website data, the study examines the parallels and distinctions between TPS and Smartex’s AI-driven system. The findings highlight how Smartex is revolutionizing the textile industry by leveraging AI to avoid defects and reduce waste, advancing both environmental and commercial objectives. Finally, the implications and limitations of the research are explained
Understanding consumer sentiment towards Gen A insights and implications: A consumer sentiment analysis
No full textThe purpose of this study is to provide insights into consumer sentiment towards Generative (Gen) artificial intelligence (AI). This study is relevant, given the enormous impact of Gen AI on society and the lack of scientific literature and empirical studies. Gen AI focuses on creating new content using training data and employing foundation models that can perform multiple complex tasks simultaneously. This content can be in the form of literature, images, music, or videos. The specific objectives are: To determine the overall feeling (positive, negative or neutral) of consumers towards Gen AI.To identify the main themes driving positive and negative sentiments towards Gen AIA tech sentiment analysis tool was used to collect data from the web over a period of time. The keywords and search queries were defined using a large language model and with human supervision. Key findings, trends and actionable recommendations are summarised. The authors hope to contribute to a deeper understanding of the effects of generative AI and draw up future lines of research and action
Not all language tourists take language courses – the determinants of formal and informal language tourism
No full textLanguage tourism is characterized by language learning being a primary or secondary motivation for the trip. Although language tourists typically take language courses in the destination, many also choose to develop their language skills autonomously through immersion. However, the mechanisms underlying this choice are ignored, particularly in a context where informal language tourists are still largely neglected in the literature. This study seeks to identify the main factors that predict language tourists’ decision to take language lessons in the destination, using a binary logistic regression model. A sample of 964 language tourists is used, which comprises both formal (N = 409) and informal (N = 555) language tourists. It is concluded that the decision to take language lessons in the destination is positively influenced by trip length, greater formality of pre-trip learning strategies, having a scholarship, traveling without relatives, being motivated to learn a language due to instrumental reasons, and purposeful choice of language travel destination for language-related reasons, among other variables. Informal language tourism is positively influenced by having acquaintances in the destination, traveling with relatives, investing more in self-directed language learning strategies, and having shorter stays, among other variables. This study sheds light on a group of travellers that has been neglected by both academia and the tourism industry
Engaging citizens through political marketing: A qualitative comparative analysis of portuguesemunicipal elections
No full textThis chapter examines how marketing concepts applied through long-term relationship strategies can strengthen democracy and enhance citizen involvement in politics. Using Qualitative Comparative Analysis on six Portuguese municipalities, it analyzes five key conditions: fulfillment of electoral promises, candidate consistency, commitment to citizens, continued interaction, and co-creation of experience. Findings reveal multiple combinations leading to increased citizen engagement, with candidate consistency emerging as both necessary and sufficient. The research legitimizes political marketing by identifying specific practices that enhance democratic participation, challenging short-term, image-focused strategies in favor of lasting relationships and substantive engagement. It advocates for a holistic, long-term approach to strengthening democracy through marketing principles, offering valuable insights for political actors and marketers seeking to enhance democratic processes and citizen involvement
The effects of commitment on relationship marketing
No full textThis study seeks to explore and analyze the role of customer commitment in relationship marketing while providing insights into how various types of commitment impact the effectiveness of relationship marketing strategies. The research employs a systematic bibliometric literature review based on 99 articles published between 2912 and 2022 in the Scopus database. It is grounded in a thorough analysis and synthesis of existing research to gain a better understanding of the intricate dynamics between customer commitment and relationship marketing management. The findings illustrate that customer commitment lies at the core of this strategy. It reflects the emotional and psychological attachment customers form toward a brand. Committed customers enhance trust and credibility, engage in positive voice behaviors, and show higher loyalty and retention rates. They also become brand advocates, generating positive word-of-mouth that bolsters the brand's reputation
Discovering the dynamics and impact of motorcycle tourism: Insights into rural events, cultural interaction, and sustainability
No full textThis study explores the dynamics of motorcycle tourism in rural areas and its potential contribution to sustainable and regenerative development. A bibliometric analysis of management-related publications was conducted using the Web of Science Core Collection, focusing on topics such as tourism, motivation, rurality, and motorcycling. VOSviewer software (version 1.6.20) was employed to support this analysis. Based on the literature, a theoretical framework was developed, leading to four research hypotheses that aimed to empirically examine the relationships between cultural motivation, community interaction, type of accommodation, event location, and tourist behaviour. To test these hypotheses, structured questionnaires were distributed in person during rural motorcycling events in Portugal, yielding a valid sample of 233 respondents. The data were analysed using SPSS 28 software via statistical methods to reduce dimensionality and identify latent structures, chi-square tests, and logistic regression. The results confirmed all four hypotheses, highlighting the importance of cultural motivation for return intentions, community interaction for perceived authenticity, accommodation type for destination recommendations, and event location for overall satisfaction. The study also identifies gender-related differences and reinforces the value of immersive, co-created experiences in enhancing the competitiveness of rural destinations. This theoretical contribution supports the advancement of motorcycle tourism as a sustainable niche while offering practical guidance for inclusive and regenerative tourism planning