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    o domínio da pós verdade

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    A questão que alumia o presente trabalho e define o seu objeto é a de saber se no processo de tomada de decisão judicial, compreendida como uma decisão qualificada e produto da mente de um sujeito particular - o juiz – esta se encontra sujeita à influencia e ao efeito de vieses cognitivos e se, na afirmativa, heurísticas, intuições, sentimentos e insights marcam cada etapa do processo decisório e se refletem no produto final. Reconhecendo-se que pouco se encontra escrito sobre o tema na literatura nacional, qualquer proposta de resposta há-de assentar na análise do processo de tomada de decisão numa perspetiva multidisciplinar, para o que se comparam os modelos da racionalidade da Economia Comportamental, esgrimem-se argumentos de equilíbrio entre Razão e Emoção ensaiados pelas Neurociências e em muito desbravados, entre nós, por António Damásio. A partir dos estudos da Psicologia Comportamental Cognitiva, mais precisamente da teoria da dissonância, analisamos que vieses cognitivos apresentam maior potencial para comprometer, de forma direta ou implícita, as decisões judiciais partindo do sistema dual de pensamento, ensinado por Kahneman. Sem esquecer que o juiz é um homem, moldado por todas as suas circunstâncias de vida que acumula no reservatório que é a sua mente e ainda pelas que foram ancestralmente transmitidas, discorremos sobre a identidade de valores como a imparcialidade e a neutralidade, indagando sobre a relação semântica e linguística que entre ambos intercede. Procurando-se também compreender o papel da fundamentação das decisões judiciais enquanto mecanismo de salvaguarda do sistema num Estado de Direito Democrático, confrontamos a indispensável objetividade da fundamentação com a interferência de vieses nos momentos de apreciação da prova e ao seu reflexo nas garantias de imparcialidade. Após a análise particular de vieses que interagem no processo de tomada de decisão judicial singular e coletiva e do momento processual onde é passível estabelecer a sua marcação, anotamos, em jeito de conclusão e de forma muito breve, mecanismos para deteção de potencial bias, que enquanto propostas de previsão e de resolução, dada a respetiva amplitude, merecerão ulterior abordagem.The question that illuminates the present work and defines its object is to know whether in the judicial decision-making process, considered a qualified decision and product of the mind of a particular subject - the judge - is subject to the influence and effect of cognitive biases and whether, if true, heuristics, intuitions, feelings and insights mark each stage of the decision-making process and are reflected in the final product. Recognizing that little is written on the subject in the national literature, any proposed answer must be based on the analysis of the decision-making process through a multidisciplinary perspective, for which the models of rationality of Behavioural Economics are compared, the arguments of balance between Reason and Emotion tested by the Neurosciences and much explored, among others, by António Damásio. Through the studies of Cognitive Behavioural Psychology, more precisely through the theory of cognitive dissonance, we analyse that cognitive biases have greater potential to compromise, directly or implicitly, judicial decisions, based on the dual system of thought, explored by Kahneman. Without forgetting that the judge is a man, shaped by all the circumstances of life that he has experienced and accumulates in the reservoir that is his mind and of those that were ancestrally transmitted to him, we discuss the identity of values such as impartiality and neutrality, inquiring about the semantic and linguistic relationship that intercedes between them. Also seeking to understand the role of the reasoning of judicial decisions as a mechanism to safeguard the system in a Democratic State of Law, we confront the indispensable objectivity of the reasoning with the interference of biases in the moments of assessment of evidence and its reflection on the guarantees of impartiality. After the analysis of biases that interact in the process of singular and collective judicial decision-making and the procedural moment where it is possible to establish their marking, we rehearse, by way of conclusion, some mechanisms of prediction and resolution that would justify, given their amplitude, a simple approach in another work

    Real estate in Portugal: student accommodation field lab - analyzing the offerings of Lisbon's student housing market

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    This research addresses the student housing market in Lisbon, marked by growing demand and insufficient, suitable supply. The study aims to create a market-oriented offer to meet changing needs. Methods include literature review, qualitative interviews, a perceptual map, and conjoint analysis, leading to a detailed marketing plan. Results show a market gap based on customer perceptions of the companies Idealista, Uniplaces, Airbnb, JLL, and Milestone, and identify distinct student preferences for accommodation features. The study highlights a significant gap between supply and demand and suggests ways to bridge it

    From barriers to bridges: digital exclusion in hierarchical organizations

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    This paper explores the effects of digital exclusion in hierarchical organizations, highlighting how unequal access to and adoption of digital tools affect communication, participation and decision-making. The research identifies significant barriers through a mixed-methods approach that combines a quantitative and qualitative methodology within a worldwide e commerce organization. Although digital tools may improve communication, key findings show that these tools reinforce hierarchical inequalities. To bridge this gap, the report suggests solutions that enhance understanding of how technology fosters inclusivity and collaboration among modern corporations

    Building a mobility marketplace: Via Verde's strategic expansion into peer-to peer EV charging

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    This thesis examines Via Verde’s possible strategic expansion into four mobility marketplace services addressing evolving urban mobility needs in Portugal: Private Company Parking Rentals, Peer-to-Peer (P2P) Parking Rentals, P2P Electric Vehicle (EV) Charging Rentals, and P2P Car Rentals. Employing a mixed-methods approach, including quantitative surveys and qualitative interviews, the study evaluates the market potential and operational feasibility of such services leading to a final strategic recommendation and financial plan, which positions Via Verde as a pioneering leader in integrated and sustainable mobility solutions

    Diversity and inclusion in the toy industry: to what extent does exposure to a diverse toy lineup influence parental purchasing intent? Understanding and implementing inclusion in the home care & laundry sector: can a detergent be inclusive

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    This study investigates how exposure to diverse toy lineups influences parental purchasing intent. Through a between subject experiment with 160 parents in Germany, results show that diversity enhances brand perception, value alignment, and willingness to pay, but does not increase and may even reduce purchase intent, especially in gift-giving contexts. Findings highlight a gap between attitudinal support for inclusion and actual consumer behavior. This suggests that diversity should be viewed as a long-term brand-building strategy rather than a direct sales driver. Authentic implementation, supported by inclusive storytelling and structural DEI efforts, is essential to translating positive perceptions into meaningful engagement

    Tradição e tecnologias emergentes: O papel da IA nas artes e ofícios contemporâneos

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    A relação entre arte, ciência e tecnologia é historicamente complexa e tem vindo a evoluir ao longo do tempo. Temos assistido à introdução gradual de novas formas e ferramentas de criação, e isso tem naturalmente impacto no tipo de arte que é produzida e na forma como é percepcionada e apreendida. O aparecimento da IA veio revolucionar a criação de arte, não só substituindo o trabalho manual mais repetitivo, mas também a melhorar a sua qualidade e velocidade de produção. Temos assistido a artistas e investigadores a utilizar novos modelos de deep learning para explorar o maior potencial da IA, mas também a inúmeras discussões sobre o desenvolvimento destas tecnologias e sobre os diferentes desafios laborais e éticos que colocam. Será a IA vista como uma barreira ao lado artesanal da criação ou será uma expansão da criação manual? É possível co-criar e obter resultados mais rápidos e melhores com o auxílio da IA? A dependência destas tecnologias afeta negativamente ou positivamente o processo de design thinking? Como está a ser percepcionada esta revolução tecnológica pelos artesãos que trabalham com as suas próprias mãos? Deverá existir, de facto, uma preocupação de se tornarem obsoletos face a estas mudanças? Este projeto tem como objetivo principal trazer uma visão geral do conhecimento académico existente sobre o papel da inteligência artificial nas diferentes áreas das artes e ofícios e explorar como pode a IA coexistir e ser utilizada para amplificar o processo criativo do trabalho artesanal.The relationship between art, science and technology is historically complex and has been evolving over time. Over the last years we’ve seen the gradual introduction of new forms and tools for creation, and that has a natural impact in the type of art that is produced and how it is perceived and apprehended. This emergence of AI has revolutionized the creation of art, not only by replacing much of the repetitive manual work, but also by improving the quality and speed of production. We have seen artists and researchers working with new deep learning models to explore the greater potential of AI, but also numerous discussions about the development of these technologies and the different labor and ethical challenges they pose. How is this rapid technological revolution being perceived by those who work primarily with creating art with their own hands? Should there be a concern about becoming obsolete in the face of these changes? The aim of this project is to provide an overview of existing academic knowledge on the role of artificial intelligence in the different areas of arts and crafts and to explore how AI can coexist and be used to amplify the creative process of artisanal work

    Ensino do Português Língua de Acolhimento nos anos 2020 a 2023

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    No presente trabalho, investigamos o ensino do português enquanto Língua de Acolhimento, em Portugal, entre os anos de 2020 e 2023. Para esse efeito, tornou-se necessária a clarificação conceptual de certas noções associadas ao ensino das línguas. Entre estas, está a de acolhimento, cuja evolução, função e motivações de aprendizagem procuramos rastrear, para alcançar um conjunto de diferenciações linguísticas importantes: a de Língua de Acolhimento em si, que está relacionada com essa primeira noção, e outras com as quais se vai cruzar, ao longo da reflexão crítica sobre o ensino da língua, como Língua não Materna (e materna, para maior esclarecimento), Língua Estrangeira, Língua Estrangeira 1, Língua Estrangeira 2, como conceitos derivados, que mais particularmente dizem respeito à nossa reflexão, a par de Língua de Herança. Porque o ensino do Português como Língua de Acolhimento é o nosso foco de interesse, observamos a sua evolução legislativa, locais de aprendizagem e, pormenorizadamente, a forma como a sua aprendizagem é realizada (como se aprende, o contexto mais favorável a tal aprendizagem). Complementarmente, foi útil conhecer como foi realizada a implementação de PLA em Portugal, desde as pessoas encarregues de ministrar tal ensino, as suas habilitações, até à questão dos formandos, a sua avaliação e a fiscalização geral desse ensino no nosso território, comunicando ainda os recursos utilizados para levar a cabo a sua lecionação: manuais, recursos digitais, regime de frequência de aulas síncrono ou assíncrono. Com a sequência atribuída à nossa investigação, demos a conhecer, numa perspetiva evolutiva, mas delimitada no tempo, a conceptualização, evolução e prática pedagógica do ensino-aprendizagem de PLA no nosso país.Our dissertation is about the teaching of Portuguese as a Host Language, in Portugal, between the years 2020-2023. To this end, it became necessary to conceptually clarify certain notions associated with language teaching. Among these notions is that of hosting, Hosting Language itself, and others with which it inevitably intersects, throughout all critical reflections on this matter, namely: Non-Native Language (and Native Language, for greater clarification), Foreign Language 1, Foreign Language 2, both derivative concepts, which are, particularly, implicated in our reflection, as well as that of Heritage Language. Because the teaching of the Portuguese language as a Hosting Language is our focus, we tracked its legislative evolution, places of learning, looking into the way in which its specifics is carried out in our country (how it is learned and which context most favoursits development). In addition, we reviewed how the process of the implementation of PHL was carried out in Portugal, paying attention to the professionals who provide such a service, their qualifications, and also the specifics of its trainees, their evaluation process and the general supervision of this kind of teaching in our country, also looking into the resources put in place to carry it out: manual and digital resources, synchronous and asynchronous types of classes. Our research aligns with an evolutionary perspective, even if limited in time, and touching on conceptualization and pedagogical practices and learning means of PHL in Portugal

    Rumination Thinking in the Music Industry: A Case Study of Music Streaming Service Users

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    Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Digital Marketing and AnalyticsThis research examines the impact of rumination thinking on digital listeners during music discovery on streaming platforms, focusing on how choice overload and decision regret influence song decision satisfaction. To achieve this, an online survey was conducted among music streaming service users, and the data were analyzed using PLS-SEM, bootstrapping, and multigroup analysis in SmartPLS4. The results confirm that excessive choice and regret aversion significantly affect listeners' satisfaction with their music selections. These findings contribute to research on consumer behavior in digital environments by deepening the understanding of cognitive biases in music discovery. Ultimately, this study presents practical recommendations for journalists, curators, and festival managers, helping them support listeners who feel overwhelmed while searching for their next favorite song

    Roman Roads, the first Auto User Journey Mapping Algorithm: Evidence from Google’s eCommerce site

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    Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsThis study focuses on building the first Web Analytics dedicated Auto User Journey Mapping Algorithm, built from a Process Mining model, the Heuristics Net, and adapted by integrating Network Ranks to establish a Dynamic Filtering Threshold mechanism that factors in how important and causal a behavior is. This development is supported Google’s eCommerce site sessions dataset, where an inverse correlation observed between the causality and importance of events was observed

    The impact of Avatar Representation on Consumer Behavior in the Metaverse: Examining Self-Congruence, Flow, Purchase Intentions and Brand Loyalty

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    Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Digital Marketing and AnalyticsThis study explores the impact of avatar characteristics (intimacy and anthropomorphism) on self-congruence with avatar, flow state, purchase intentions, and brand loyalty within the metaverse. Furthermore, it investigates whether brand category (hedonic vs. utilitarian) moderates the relationship between avatar characteristics and purchase intentions. An AIgenerated video stimulus was presented to 374 participants, and an online survey was used to collect their data. Partial Least Square Structural Model (PLS-SEM) was employed to test the proposed conceptual model. The results demonstrate that avatar characteristics positively impact self-congruence, which positively impacts flow and ultimately increases purchase intentions. However, avatar characteristics do not directly impact purchase intentions or flow. Additionally, purchase intentions are a key predictor of brand loyalty, while brand category (hedonic vs. utilitarian) does not moderate the proposed relationship. By extending theories on self-congruence and flow, this research provides practical insights for brands that aim to enhance consumer engagement within the metaverse, using avatar-driven experiences

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