31097 research outputs found
Sort by
Equity valuation: Netflix, Inc.
Get PDFThe main objective of this equity valuation is to assess whether Netflix’s shares were priced
above or below their estimated fair value on the last trading day of 2023. After comparing the
estimated fair value with the observed market price, an investment recommendation to buy, sell
or hold Netflix’s shares was made for potential investors.
Netflix is an American company that stands as a global leader in the entertainment services
industry, renowned for its unique streaming platform and its extensive library of high-quality
content. Due to its distinctive competitive position in the entertainment services industry and
due to its innovative strategies, Netflix is a particularly interesting company for an equity
valuation.
To value Netflix, two valuation methods were chosen: the discounted cash flow approach,
specifically the free cash flow to the firm method, and relative valuation. Both methodologies
provide different perspectives and assumptions, therefore complementing each other.
The results obtained from this equity valuation indicate that, on December 29, 2023,
Netflix’s shares were being traded below their actual fair value of 496.19, obtido através da abordagem
dos fluxos de caixa descontados. Considerando que as ações da Netflix estavam subvalorizadas
e que a empresa tem uma forte posição de mercado e um forte potencial de crescimento, é uma
oportunidade de investimento atrativa. Consequentemente, os resultados obtidos levaram-nos a
recomendar a potenciais investidores a compra das ações da empresa
Skilled transitions: Digital training programmes as active labour market strategies in rural Portugal
Get PDFThe transition from school to work in rural areas presents distinct challenges compared to urban environments, shaped by constraints on spatial mobility, limited employment opportunities, insufficient training provision, and cultural expectations, particularly concerning gender roles. The Covid‐19 pandemic and the expansion of remote work initially appeared to mitigate some of these barriers for digitally literate individuals with access to adequate infrastructure. However, many young people in rural areas lack the necessary digital skills and reliable internet connectivity to engage in remote employment, rendering digitalisation a potential obstacle rather than a facilitator of labour market integration. As a broader socio‐economic process, digitalisation has the potential to expand employment and training opportunities for young people. The pandemic accelerated the adoption of digital tools by public employment services, requiring significant adaptation by both service providers and users. In response, the Portuguese government has implemented a strategic framework encompassing training programmes and internships aimed at unemployed individuals with at least the minimum level of mandatory education. Despite the benefits of digitalised services, rural NEETs (persons not in employment, education, or training) frequently require more personalised, in‐person support to navigate labour market barriers effectively. This study adopts a comparative approach to examine two active employment programmes targeting unemployed young adults in rural Portugal: one centred on remote digital training and the other on digital upskilling through internships. Through document analysis and semi‐structured interviews with public employment services technicians, mentors, and NEETs aged 25–30, the findings underscore the relevance of these interventions, particularly for highly educated NEETs experiencing skills mismatches.info:eu-repo/semantics/publishedVersio
Does shareholder’s reputation matter to firms? An analysis of reputation reverse spillover
Get PDFThis thesis explores the concept of reputation transferability from shareholders to organizations - specifically, whether shareholders' irresponsible or exemplary behavior can negatively or positively impact a company's value. While reputation transfer from organizations to shareholders is well-studied, it remains unclear whether these theories apply in reverse and how this might influence corporate management.
The research was conducted in two sequential phases. First, a qualitative study using in-depth interviews identified the key constructs that play a significant role in reverse reputation transferability and pinpointed variables that capture the main processes involved in this phenomenon. Next, a quasi-experimental study employing the vignette technique tested the existence of reverse reputation spillover, draw conclusions about causal relationships, and examined how certain structural and contextual variables identified in the initial study - such as the valence of the reputation event, ownership structure, financial dependence, and media exposure - may influence this effect.
Our research confirms that reputation transfer is bidirectional between companies and shareholders, and that changes in shareholders' reputation can impact firm valuation under specific circumstances. This finding underscores the complexity of managing such spillovers and explains why firms vary in their vulnerability to these effects. Ownership structure has an immediate and ongoing influence on both short- and long-term valuation, while financial dependence affects long-term valuation. Media exposure, meanwhile, mediates the relationship between shareholder events and corporate reputation, as well as the link between shareholder events and long-term valuation, through its impact on corporate reputation and short-term value.Esta tese explora o conceito de transferência de reputação dos acionistas para as organizações - especificamente, se o comportamento irresponsável ou exemplar dos acionistas pode ter um impacto negativo ou positivo no valor da empresa. A transferência de reputação das organizações para os acionistas encontra-se bem estudada. Porém, não é claro se estas teorias se aplicam no sentido inverso.
A investigação foi efetuada em duas fases. Primeiramente, um estudo qualitativo com recurso a entrevistas em profundidade identificou os constructos que explicam a transferência inversa da reputação e as variáveis que captam os principais processos envolvidos. Seguidamente, um estudo quase-experimental utilizando a técnica da vinheta testou a existência da transferência inversa, analisou as relações causais e examinou como certas variáveis estruturais e contextuais - tais como a valência do evento, a estrutura acionista, a dependência financeira da empresa e a exposição aos media - podem influenciar este efeito.
A investigação confirma que a transferência de reputação é bidirecional e que alterações na reputação dos acionistas podem impactar o valor da empresa. Esta conclusão demonstra a complexidade da gestão deste fenómeno e explica por que razão as empresas não são igualmente vulneráveis. A estrutura acionista tem uma influência imediata e contínua na avaliação de curto e longo prazo, enquanto a dependência financeira afeta a avaliação a longo prazo. A exposição aos media medeia a relação entre os eventos que afetam os acionistas e a reputação empresarial, bem como a relação entre os eventos e a avaliação a longo prazo, através do seu impacto na reputação empresarial e no valor a curto prazo
Factors influencing the adoption of artificial intelligence in healthcare: A study on the role of knowledge and benefits in clinical and managerial decision-making
Get PDFIn recent years, Artificial Intelligence (AI) health projects have attracted significant investment, driven by a 50% annual increase in stored data. This growth has led to the development of AI tools that assist health professionals and managers in decision-making within clinical practice and healthcare management. This research seeks to identify key factors influencing the adoption of AI systems by health professionals and managerial staff, drawing on a sample of 100 respondents, of whom 61 are healthcare practitioners and 39 occupy management positions within the health sector. An extensive literature review and a statistical analysis using SmartPLS 3 were conducted. The findings suggest that the level of knowledge and perceived benefits positively impact the intention to implement AI tools. Interestingly, challenges during AI adoption do not hinder professionals. The study highlights the importance of integrating AI into healthcare professionals’ careers and emphasises the need for measures to enhance their understanding of AI algorithms. Increased knowledge fosters greater willingness to adopt AI systems, promoting improved decision-making in healthcare.info:eu-repo/semantics/publishedVersio
The diversity of singlehood experiences in the United States and Portugal: A latent profile approach
Get PDFTwo cross-sectional studies with individuals who are single in the United States and Portugal explored how singlehood expectations and sexual health and well-being motives determined latent profiles, and whether profiles differed in personal beliefs and experiences. Participants with a relationship-oriented pleasure-ambivalent singlehood profile were fearful of singlehood, endorsed more relationship pedestal beliefs, and reported more negative reasons for being single and more reasons for enacting condomless casual sex. Despite focusing on pleasure promotion in sex, they also reported lower sexual quality of life and well-being. Participants with a pleasure-driven voluntary singlehood profile were comfortable with singlehood while maintaining some relationship desire. They focused on personal enjoyment and pleasure promotion in sex, and reported higher sexual quality of life and well-being. Participants with a cautious voluntary singlehood profile were focused on disease prevention in sex. They were the most committed to singlehood and endorsed more positive reasons for being single, but also reported lower sexual satisfaction and well-being. These profiles were consistent across countries. Taken together, our findings illustrate the dynamic ways in which some individuals are more successful at navigating through singlehood, whereas others have worse experiences due in part to internalized and socialized norms and expectations attached to relationship status.info:eu-repo/semantics/publishedVersio
Literature review on gender diversity in top management teams of companies and its relationship with firm performance and audit quality
Get PDFThis paper aims to review the literature on gender diversity on top management teams and its impact on firm’s performance and audit quality. Over the period of 1997–2023 a total of 125 published articles were identified. Main findings reveal that literature on gender diversity continues to be contradictory, inconsistent and inconclusive regarding its impacts on firm’s performance and audit quality, highlighting the need to intensify research on this field to validate empirically those relationships. The literature review informs researchers on other audiences about the main characteristics of the literature on gender diversity and identifies several research gaps in the area.info:eu-repo/semantics/acceptedVersio
Exploring few-shot approaches to automatic text complexity assessment in European Portuguese
Get PDFThe automatic assessment of text complexity has an important role to play in the context of language education. In this study, we shift the focus from L2 learners to adult native speakers with low literacy by exploring the new iRead4Skills dataset in European Portuguese. Furthermore, instead of relying on classical machine learning approaches or fine-tuning a pre-trained language model, we leverage the capabilities of prompt-based Large Language Models (LLMs), with a special focus on few-shot prompting approaches. We explore prompts with varying degrees of information, as well as different example selection approaches. Overall, the results of our experiments reveal that even a single example significantly increases the performance of the model and that few-shot approaches generalize better than fine-tuned models. However, automatic complexity assessment is a difficult and highly subjective task that is still far from solved.info:eu-repo/semantics/publishedVersio
Bridging pedagogy, curriculum, and assessment in digital education: Ensuring a constructive alignment
Get PDFAn individual has the right to a quality and inclusive education and to training throughout their life. This is described in the European Pillar of Social Rights’ principles of Education, training, and lifelong learning, and Equal opportunities. Given that digitalization processes are leading to pedagogical change, how this education and training are designed and delivered may be impacted. This article explores the important interplay between pedagogy, curriculum, and assessment in digital education. We begin by discussing the acquisition of digital skills—an important indicator of an individual’s capacity to manage transitions— particularly focusing on the Portuguese context. Next, we reflect on how different learning theories and models can be applied in digital environments. In particular, we address the evolving roles of teachers and students, and the relevant pedagogical strategies, and propose the need for an alignment between pedagogy, curriculum, and assessment in digital education. By reflecting on how these aspects can be effectively integrated into the digital learning landscape, this overview provides valuable insights for both practice and policymaking, fostering meaningful and enriching educational experiences in the digital realm.info:eu-repo/semantics/publishedVersio
Introduction: Beyond penal populism: Complexifying justice systems and security through qualitative lenses
Get PDFIn the global political landscape, as far-right parties gain prominence, populist rhetoric advocating for harsher justice and security policies is becoming increasingly prevalent. Proponents of this rhetoric base their discourse on “alarming” violence and crime rates and discredit more liberal approaches, as well as research that deconstruct those Manichean visions. In this introduction, we ask what tangible contributions qualitative and ethnographic methods can offer to the field of justice and security studies. We explain why and to what extent qualitative methods are essential to accurately represent the reality of justice and security and to help deconstruct overly simplistic interpretations of justice and security. Ultimately, this article contends that these methodologies are crucial, now more than ever, for dismantling narratives driven by penal populism.info:eu-repo/semantics/publishedVersio
Key factors affecting transportation choices in school commuting in Lisbon: A machine learning approach
Get PDFUnderstanding the behaviour of students in choosing a transportation mode to school is crucial to promote Active Commuting to School (ACS) and the adoption of healthier lifestyles. Therefore, analysing all types of transportation modes with multiple factors/features is essential, though it can be a challenge in statistical modelling. The main objective of the present study was to determine the factors that contribute to the choice of a particular mode in school transportation, by using Machine Learning (ML) algorithms: Extreme Gradient Boosting (XGB), Random Forest (RF), Decision Tree (DT) and Multinomial Logistic Regression (MNL). Data from the ‘Hands Up’ Survey in Lisbon, Portugal, between 2018 and 2021, with 10 different modes of transportation were analysed. A range of factors including safety around school, socioeconomic status of schools’ parishes, school regime, school grades and the proximity of schools to the different public transportation modes were considered. The algorithms have been compared in terms of accuracy scores. The XGB algorithm shows the best performance (64 % accuracy and 0.33 Macro F1) for multi-class classification, while RT, DT and MNL provide accuracy of 40 %, 37 % and 47 % respectively. Weighted Average Feature Importance (WAFI) have been determined for all variables. For the best-performing algorithm, the XGB, the combination factor of school regime and school grade is the most relevant factor, contributing to around 21.2 % for multi-class classification. WAFI scores for each variable suggest that the proximity of schools to various public transports is an important factor contributing more than 50 % for the predominance of private car in school transportation.info:eu-repo/semantics/publishedVersio