34 resultados para User-generated advertising
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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User-generated advertising changed the world of advertising and changed the strategies used by marketers. Many researchers explored the dimensions of source credibility in traditional media and online advertising. However, little previous research explored the dimensions of source credibility in the context of user-generated advertising. This exploratory study aims to investigate the different dimensions of source credibility in the case of user-generated advertising. More precisely, this study will explore the following factors: (1) objectivity, (2) trustworthiness, (3) expertise, (4) familiarity, (5) attractiveness and (6) frequency. The results suggest that some of the dimensions of source credibility (objectivity, trustworthiness, expertise, familiarity and attractiveness) remain the same in the case of user-generated advertising. Additionally, a new dimension is added to the factors that explain source credibility (reputation). Furthermore, the analysis suggests that the dimension “frequency” is not an explanatory factor of credibility in the case of user-generated advertisement. The study also suggests that companies using user-generated advertisement as part of their overall marketing strategy should focus on objectivity, trustworthiness, expertise, attractiveness and reputation when selecting users that will communicate sponsored user-generated advertisements.
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Field lab: Entrepreneurial and innovative ventures
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This study examined user-generated (UG) advertising in the context of social media networks. The focus was on how people, whether an expert in the area, a non-expert or a friend, influence the reader of the advertisement. Furthermore, the study analyzed how the certainty level of the UG advertisement influences the person viewing the ad. The study showed that for the friend source a high certainty message was more persuasive. However, regarding the certainty no significant results were found for the expert and non-expert. Further, the type of the source had a considerable impact on persuasion. Someone that we personally know (e.g., a friend) was rated most positive for all analyzes variables. This shows that with the rising usage of social media there are great opportunities for new effective advertising strategies that could include a new type of an endorser – friends.
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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação
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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies.
Energy-efficient diversity combining for different access schemes in a multi-path dispersive channel
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Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e Computadores
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In the recent past, hardly anyone could predict this course of GIS development. GIS is moving from desktop to cloud. Web 2.0 enabled people to input data into web. These data are becoming increasingly geolocated. Big amounts of data formed something that is called "Big Data". Scientists still don't know how to deal with it completely. Different Data Mining tools are used for trying to extract some useful information from this Big Data. In our study, we also deal with one part of these data - User Generated Geographic Content (UGGC). The Panoramio initiative allows people to upload photos and describe them with tags. These photos are geolocated, which means that they have exact location on the Earth's surface according to a certain spatial reference system. By using Data Mining tools, we are trying to answer if it is possible to extract land use information from Panoramio photo tags. Also, we tried to answer to what extent this information could be accurate. At the end, we compared different Data Mining methods in order to distinguish which one has the most suited performances for this kind of data, which is text. Our answers are quite encouraging. With more than 70% of accuracy, we proved that extracting land use information is possible to some extent. Also, we found Memory Based Reasoning (MBR) method the most suitable method for this kind of data in all cases.
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A nutrição e a alimentação. Dois conceitos tão pessoais quanto públicos, que geram discussão e abrem espaço a mitos e crenças. O interesse coletivo nestes assuntos é causa e consequência da grande quantidade de informação, por vezes pouco rigorosa, outras contraditória, disponível online. Impõe-se portanto não só a transmissão de informação fidedigna, que reflita o estado atual da ciência, mas também a criação de espaços de diálogo, capazes de suscitar sentido crítico, num contexto de interação e comunicação online. Contextualiza-se assim a relevância do projeto QEAT, uma plataforma de comunicação de ciência, assente numa matriz de Envolvimento Público da Ciência ou Public Engagement with Science (PES), na sua expressão em inglês. O QEAT pretende ser um espaço de referência online, que promove o diálogo ao serviço da informação sobre alimentação e nutrição. Uma plataforma onde há espaço para o esclarecimento, a discussão e a participação, reunindo especialistas e não especialistas na mesma missão de comunicar nutrição. O modelo eleito seguirá um formato de rede social de pergunta e resposta (SQ&A), aproveitando a interatividade e a transversalidade destes canais de comunicação, abrindo aos diferentes públicos a possibilidade de participar na plataforma com perguntas, ideias, conteúdos. Desta forma, as ciências da nutrição e alimentação serão o tópico dominante das conversas, abertas a todos os interessados, instigadas e moderadas pelos gestores da plataforma. O canal QEAT será alimentado por conteúdos coproduzidos por nutricionistas, cientistas e diferentes profissionais da comunicação, no âmbito do projeto, a par de conteúdos produzidos pelos utilizadores (user generated contents), sujeitos a uma votação, ou seja, um controlo de qualidade. Todos os contribuidores vão construindo a sua reputação de acordo com a validade dos conteúdos que produzem. Uma gestão de conteúdos que permite por um lado monitorizar a qualidade e o rigor da informação, mas também perceber os tópicos que interessam aos utilizadores, bem como as suas dúvidas. A implementação deste projeto procura criar um espaço de referência online capaz de funcionar como um repositório dinâmico de informação sobre nutrição; e fomentar uma relação bidirecional entre os diferentes públicos do projeto. Da persecução destes objetivos, espera-se que resultem novas ideias, conhecimentos e direções dos caminhos a tomar no sentido de uma comunicação responsável na área da nutrição.
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In this research we conducted a mixed research, using qualitative and quantitative analysis to study the relationship and impact between mobile advertisement and mobile app user acquisition and the conclusions companies can derive from it. Data was gathered from management of mobile advertisement campaigns of a portfolio of three different mobile apps. We found that a number of implications can be extracted from this intersection, namely to product development, internationalisation and management of marketing budget. We propose further research on alternative app users sources, impact of revenue on apps and exploitation of product segments: wearable technology and Internet of Things.
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Informática
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The participation of the Fraunhofer Institute for Manufacturing Engineering and Automation IPA (Stuttgart, Germany) and the companies User Interface Design GmbH (Ludwigsburg, Germany) plus MLR System GmbH (Ludwigsburg, Germany) enabled the research and findings presented in this paper; we would like to namely mention Birgit Graf and Theo Jacobs (Fraunhofer IPA) furthermore Peter Klein and Christiane Hartmann (User Interface Design GmbH).
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Algebra Colloquium, 15 (2008), p. 581–588
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Proceedings of the Edinburgh Mathematical Society, nº50 (2007), p.551-561