https://hdl.handle.net/10216/1867 Fri, 10 Jul 2026 15:22:41 GMT 2026-07-10T15:22:41Z https://hdl.handle.net/10216/174169 Title: From influencers' self-disclosure to purchase intention: a moderated-mediation model Thu, 01 Jan 2026 00:00:00 GMT https://hdl.handle.net/10216/174169 2026-01-01T00:00:00Z https://hdl.handle.net/10216/174173 Title: The bright and dark side of consumers' engagement with AI Thu, 01 Jan 2026 00:00:00 GMT https://hdl.handle.net/10216/174173 2026-01-01T00:00:00Z https://hdl.handle.net/10216/164272 Title: Give your brand a purpose: A cross-cultural study on conscientious purpose-led branding Wed, 01 Jan 2025 00:00:00 GMT https://hdl.handle.net/10216/164272 2025-01-01T00:00:00Z https://hdl.handle.net/10216/172829 Title: Local attitudes toward global employees in the workplace Fri, 12 Sep 2025 00:00:00 GMT https://hdl.handle.net/10216/172829 2025-09-12T00:00:00Z https://hdl.handle.net/10216/172742 Title: Sustentabilidade nas compras públicas Wed, 01 Jan 2025 00:00:00 GMT https://hdl.handle.net/10216/172742 2025-01-01T00:00:00Z https://hdl.handle.net/10216/172760 Title: Consumer involvement in new product development Wed, 01 Jan 2025 00:00:00 GMT https://hdl.handle.net/10216/172760 2025-01-01T00:00:00Z https://hdl.handle.net/10216/166798 Title: The Influence of Populism on the Volatility of Stock Markets Abstract: This paper examines the influence of populism on stock market volatility, considering 21 countries analyzing data from December 1961 to April 2022. The regression approach is used to analyze in this study. The analysis uses the HAC Newey-West estimator to handle heteroscedasticity and autocorrelation. The study's model regresses stock market volatility on populism status, incorporating control variables like economic indicators. Our results show that the stock market's behavior will react when a populist party leads the government. In Asia, our findings indicate South Korea and Taiwan demonstrate a positive relationship with stock market volatility, whereas India and Indonesia show a negative relationship between them. Most European countries exhibited an inverse correlation between the status of populism and stock market volatility. Conversely, most countries in South America have a positive correlation between the status of populism and stock market volatility. Both countries in North America have not significant in the level. These empirical findings make a valuable contribution to the field of behavioral finance by providing insights into financial markets and political uncertainty driven by populism. Our results have implications for investors, regulators, and cooperators in making well-informed decisions and strategic planning to maintain market movements. (c) The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Wed, 01 Jan 2025 00:00:00 GMT https://hdl.handle.net/10216/166798 2025-01-01T00:00:00Z https://hdl.handle.net/10216/164996 Title: Hey Alexa, are you a double-edged sword? The bright and dark side of consumers' engagement with AI Wed, 01 Jan 2025 00:00:00 GMT https://hdl.handle.net/10216/164996 2025-01-01T00:00:00Z https://hdl.handle.net/10216/165222 Title: Beyond Healing: The transformative role of customer experience in healthcare and its contribution to patients' well-being Wed, 01 Jan 2025 00:00:00 GMT https://hdl.handle.net/10216/165222 2025-01-01T00:00:00Z https://hdl.handle.net/10216/165042 Title: Bayesian Modelling of Time Series of Counts with Missing Data Abstract: The presence of missing data poses a common challenge for time series analysis in general since the most usual requirement is that the data is equally spaced in time and therefore imputation methods are required. For time series of counts, the usual imputation methods which usually produce real valued observations, are not adequate. This work employs Bayesian principles for handling missing data within time series of counts, based on first-order integer-valued autoregressive (INAR) models, namely Approximate Bayesian Computation (ABC) and Gibbs sampler with Data Augmentation (GDA) algorithms. The methodologies are illustrated with synthetic and real data and the results indicate that the estimates are consistent and present less bias when the percentage of missing observations decreases, as expected. (c) The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Wed, 01 Jan 2025 00:00:00 GMT https://hdl.handle.net/10216/165042 2025-01-01T00:00:00Z https://hdl.handle.net/10216/112837 Title: Language strategies used by MNCs in Portugal Tue, 01 Jan 2008 00:00:00 GMT https://hdl.handle.net/10216/112837 2008-01-01T00:00:00Z https://hdl.handle.net/10216/161339 Title: Welfare Regimes in the UE 15 and in the Enlarged Europe- an Exploratory Analysis Sat, 01 Jan 2005 00:00:00 GMT https://hdl.handle.net/10216/161339 2005-01-01T00:00:00Z https://hdl.handle.net/10216/161367 Title: Two-way analysis of variance for a concentrated von Mises-Fisher distribution Mon, 01 Jan 2007 00:00:00 GMT https://hdl.handle.net/10216/161367 2007-01-01T00:00:00Z https://hdl.handle.net/10216/158252 Title: Don't Let it Go to Waste: Preventing and Profiling Household Food Waste Mon, 01 Jan 2024 00:00:00 GMT https://hdl.handle.net/10216/158252 2024-01-01T00:00:00Z https://hdl.handle.net/10216/158250 Title: Can influencers' intimate self-disclosure lead to purchase intention? The mediating role of parasocial relationship and source credibility Mon, 01 Jan 2024 00:00:00 GMT https://hdl.handle.net/10216/158250 2024-01-01T00:00:00Z https://hdl.handle.net/10216/112556 Title: Performance of the EM algorithm on sampling a mixture from two Watson populations Wed, 01 Jan 2003 00:00:00 GMT https://hdl.handle.net/10216/112556 2003-01-01T00:00:00Z https://hdl.handle.net/10216/126080 Title: Mobilidade humana, políticas migratórias e direitos humanos - Avanços e recuos Tue, 01 Jan 2019 00:00:00 GMT https://hdl.handle.net/10216/126080 2019-01-01T00:00:00Z https://hdl.handle.net/10216/140825 Title: Cultural Work and Copyright: Reflecting on Policies for the Digital Era Wed, 01 Jan 2020 00:00:00 GMT https://hdl.handle.net/10216/140825 2020-01-01T00:00:00Z https://hdl.handle.net/10216/130539 Title: A Biased Random Key Genetic Algorithm for the Flexible Job Shop Problem with Transportation Abstract: This work addresses the Flexible Job Shop Scheduling Problem with Transportation resources (FJSPT), which can be seen as an extension of both the Flexible Job Shop Scheduling Problem (FJS) and the Job Shop Scheduling Problem with Transportation resources (JSPT). Regarding the former case, the FJSPT additionally considers that the jobs need to be transported to the machines they are processed in; while regarding the latter, in the FJSP the specific machine processing each operation also needs to decided. The FJSPT is NP-hard since, it extends NP-hard problems. In here, we propose an operation based biased random key genetic algorithm to efficiently find good quality solutions. Tue, 01 Jan 2019 00:00:00 GMT https://hdl.handle.net/10216/130539 2019-01-01T00:00:00Z https://hdl.handle.net/10216/130188 Title: Setting the optimal kite location of a kite wind farm for optimal power production Abstract: We consider a farm of Kite Power Systems (KPS) in the field of Airborne Wind Energy (AWE), in which each kite is connected to an electric ground generator by a tether. In particular, we address the problem of selecting the best layout of such farm in a given land area such that the total electrical power generated is maximized. The kites, typically, fly at high altitudes, sweep a greater area than that of traditional wind turbines, and move within a conic shaped volume with vertex on the ground station. Therefore, constraints concerning kite collision avoidance and terrain boundaries must be considered. The efficient use of a given land area by a set of KPS depends on the location of each unit, on its tether length and on the elevation angle. In this work, we formulate the KPS farm layout optimization problem. Considering a specific KPS and wind characteristics of the given location, we study the power curve as a function of the tether length and elevation angle. Combining these results with an area with specified length and width, we develop and implement a heuristic optimization procedure to devise the layout of a KPS farm that maximizes wind power generation. Mon, 22 Jul 2019 00:00:00 GMT https://hdl.handle.net/10216/130188 2019-07-22T00:00:00Z