69166 research outputs found
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Can Portugal become a leader in offshore wind power? How to achieve a competitive advantage in this industry
No full textThis project explores whether Portugal can lead the offshore wind power industry and achieve
a competitive edge. It evaluates Portugal's strategic advantages, including its geographical
location, industrial capabilities, and supportive government policies. The analysis identifies key
trends, economic viability, supply chain dynamics, industry challenges, and necessary
technological advancements. By mapping the global ecosystem of main industry players, it
examines potential partnerships and stakeholder engagement to foster innovation and address
challenges. Recommendations focus on infrastructure investment, regulatory streamlining, and
enhancing collaboration to position Portugal at the forefront of the offshore wind sector
Success factors of implementing generative ai in the German banking industry
No full textGenerative AI is transforming industries by automating tasks, enhancing decision-making, and
driving innovation. While many studies examine AI success factors, limited research focuses
on GenAI in the German banking sector. This thesis constructs a framework of success factors
through literature review and expert interviews, which span across technological, organizational
and environmental dimensions. The findings offer a strategic roadmap for banks to enhance
Generative AI integration and utilization, highlighting the need for ongoing adaptation to keep
pace with rapid technological advancements
Who pays when giants fall? Union de banques suisses´s acquisition of credit Suisse - the badwill effect of the transaction of credit Suisse
No full textThe case study helps to understand the multifaceted nature of Mergers & Acquisitions by
examining the acquisition of Credit Suisse through UBS. Facilitated by the Swiss authorities
to avert a potential financial crisis, regulatory intervention played a pivotal role in shaping the
transaction. By examining regulatory decision-making, stakeholder management and financing
structures, the case study assesses the post-deal risk distribution and identifies potential winners
and losers of the deal. Further, the case instructor can access an accounting and market analysis
of Credit Suisse`s financial health pre-merger, an alternative valuation using the Dividend
Discount Model and an assessment of the shareholder value effect
Disney´s fox hunt: the takeover tangle
No full textThis case shows the circumstances under which The Walt Disney Company managed to
acquire multiple media companies until successfully taking over Twenty-First Century Fox.
The case highlights the strategic motives of Disney, Fox, Comcast and Sky and shows how
these culminated into multiple acquisition attempts, ultimately resulting in the biggest
acquisition within the media industry so far. Additionally, the case provides information
about the strategic positioning of Disney within the direct-to customer streaming market.
Lastly, the acquisition is evaluated considering the media industry alongside potential
synergies
NMOS based LDO using Recycling Folded Cascode as Error Amplifier
No full textEste trabalho apresenta um NMOS-LDO convencional robusto implementado em tecnologia FinFet de 16 nm. O LDO apresenta um Recycling Folded CAscode (RFC) como amplificador de erro. Uma simples modificação foi feita no RFC convencional para integrar este OTA no LDO e garantir um circuito robusto. O objetivo principal deste trabalho é alcançar o equilíbrio ótimo entre várias especificações, incluindo ganho DC, Power Supply Rejection (PSR), tempo de resposta e área. A robustez do LDO foi validada sob 516 corners de Processo, Tensão e Temperatura (PVT), assim como através de simulações Monte Carlo (MC). O LDO opera com uma tensão de alimentação que varia de 1.028V a 1.32V e uma tensão de saída que varia de 400mV a 900mV. O regulador deve também ser capaz de fornecer uma corrente de carga de 500A a 2mA. Foi realizada uma avaliação extensiva de diferentes topologias, com foco nos seus trade-offs, pontos fortes e fracos sob diferentes correntss de carga e diferentes capacidades na saída. O RFC LDO implementado, que ocupa uma área total de 621.56 2 , apresentou um ganho DC médio de 74.9dB, uma PSR média a 10MHz de -16.9dB, uma line/load regulation abaixo de 41 / e 19 /, respectivamente, para todos os 516 corners. Além disso, o LDO mantém
consistentemente uma margem de fase superior a 65º, ao mesmo tempo que garante um tempo de startup inferior a 105 ns. Um LDO com um RFC desbalanceado também é estudado e mostrou melhores resultados em PVT, mas pior desempenho em MC. Para eliminar a necessidade de uma tensão de alimentação mais alta no LDO RFC, uma nova arquitetura LDO baseada na estrutura Flipped Voltage Follower (FVF) também é estudada. O LDO proposto é comparado ao estado atual da arte e demonstra um desempenho superior em termos de PSR e line/load regulation. Além disso, alcança a menor tensão de dropout entre todas os LDOs Em termos de eficiência, supera a maioria das arquiteturas tanto em area como consumo de energia.This work presents a robust conventional NMOS based LDO implemented in 16 nm FinFet technology. The LDO features a recycling folded cascode (RFC) as error amplifier. A simple modification was made to the conventional RFC to integrate this OTA into the LDO and ensure a robust design. The primary objective of this work is to achieve the optimum balance between various specifications including DC gain, Power Supply Rejection, line/load regulation response and silicon area. The robustness of the LDO design was validated at the schematic level under 516 Process, Voltage, and Temperature (PVT) corners, as well as through Monte Carlo (MC) Simulations. The LDO operates with a supply voltage ranging from 1.028V to 1.32V, and an output voltage ranging from 400mV to 900mV. It also should be able to provide a load current of 500A to 2mA. An extensive evaluation of different topologies was carried out, focusing on their trade-offs, strengths, and weaknesses under high and low current loads and load capacitances. The design RFC LDO, which occupies an area of 621.56 2 , demonstrated a mean DC gain of 74.9dB, a mean PSR at 10MHz of -16.9dB, and a line/load regulation bellow 41 / and 19 /, respectively, for all 516 corners. Furthemore, the LDO consistently maintains phase margin exceeding 65º, while ensuring a startup time below 105 ns. An LDO with an unbalanced RFC is also studied, and showed improved PVT results but worst MC performance. To eliminate the need for a higher supply voltage in the RFC LDO, a new LDO architecture based on the Flipped Voltage Follower (FVF) structure is studied as well. The proposed LDO is compared to the current state of the art, and demonstrates superior performance in terms of PSR and load/line regulation. Additionally, it achieves the lowest dropout voltage among all designs. In terms of efficiency, it outperforms the majority of architectures in both area and power consumption.Synopsy
Competing against c beauty - how can international beauty brands remain successful in the Chinese market
No full textThe complexity and dynamics of the Chinese beauty market require international companies to
adapt to its specificities, in order to be relevant for local consumers considering the growing
competition from domestic brands. This study explores strategies for international brands to
compete effectively with Chinese brands and win over Gen Z consumers in China. Key insights
from qualitative interviews highlight the importance of authenticity, cultural respect, and
localized messaging. The study proposes a dual adaptation strategy, emphasizing product
localization and culturally tailored communication, to increase brand engagement,
consideration, and market share
Terrain-Based Predictive Modeling of Off-Trail Travel in Denali National Park and Preserve
No full textDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesBackcountry navigation in trail-less wilderness areas is infrequently studied. Denali National
Park and Preserve (DENA) is a largely trail-less park, containing only 57.1 kilometers of official
trails in over 6 million acres (2.45 million hectares). This makes backcountry travel in DENA
dependent on environmental and terrain factors, rather than infrastructure like trails.
This study utilizes ranger patrol data collected in DENA since 1998, comprising thousands of
kilometers of GPS track lines, to model off-trail navigation choices. We optimize tree-based
ensemble machine learning models, comparing techniques like ADASYN, RUS, and focal loss
to address class imbalance, to generate a probability surface of likely travel routes. This
surface was then used with an A* routing algorithm to predict the most probable routes
between two points. Sample routes are then compared to line samples from the patrol tracks
dataset, as well as visitor samples, to assess generalizability. The selected model achieved a
G-Mean of 0.65, indicating low to moderate predictive capability, and additional research is
warranted to improve model predictions. Key terrain features, such as slope, elevation, and
landform type, show importance in the influence of predicted travel paths. This research
demonstrates the potential of using ranger patrol data and machine learning to understand
off-trail movement patterns in wilderness areas, informing management decisions related to
visitor safety and resource protection
Financial and strategic innovation analysis of voltix: a simulation-based review of electrification in the automotive industry and personal reflection
No full textSince its inception, the automotive industry has entered a new era of advancement. Through
innovations, technological progress, and shifting social expectations, the need for adaptability
has reached new heights. A shift in consumer demand has driven the transition from internal
combustion engines to a focus on environment-friendly alternatives, such as electric vehicles.
This work project presents a comprehensive and personal analysis of Voltix, a company
managed in a three-week, team-oriented business simulation. The objectives of Business in
Practice were to promote team dynamics within five different directors functions and to
overcome challenges in a fast-moving business environment
A consulting lab on sustaining Msb´s leadership in the future of loyalty programs - an analysis on future trends
No full textThis project was developed between an insurance group based in Portugal and three Nova SBE
students. It explores two distinct and far-reaching challenges: one regarding the Future of
Loyalty, particularly within the insurance sector, and another on the current program offered by
the client. The team collaborated closely with the client to clearly structure the project and its
methodology. This report includes the analyses of the external and internal environments, the
concept testing, and the final recommendations provided by the team for the project’s
conclusion, which were tied to the program's customer journey, aimed at being impactful,
actionable, and sustainable