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Revolutionizing global connectivity: how to launch an international brand within the Portuguese Telecom landscape: building the positioning for get
In the following paper, detailed research and strategic recommendations were conducted for
NOS, the Portuguese telecommunications company. The work is focused on a new travel eSIM
brand called get eSIM Travel. Apart from extensive market research, qualitative and
quantitative data collection was conducted. Based on the data, a complete market entry strategy
was assembled. The contents of the report not only serve academic purposes, but also business
needs as the client have the opportunity to use the findings in a business context. Furthermore,
the individual part of the assignment focused on building the segmentation, targeting and
positioning for get, going deeper in detail
What are the key determinants influencing the adoption of facial recognition technology as a biometric security measure in mobile banking among young adults
This study examines the adoption determinants of facial recognition technology in mobile
banking among young adults, employing the Unified Theory of Acceptance and Use of
Technology (UTAUT) framework. Analyzing responses from 113 participants through
Structural Equation Modeling (SEM), the research identifies performance expectancy, effort
expectancy, social influence, and data privacy concerns as significant predictors of adoption
intentions. Openness to experience was not a significant mediator. Findings emphasize the
importance of addressing privacy and usability to enhance adoption. This study contributes to
the biometric security literature by integrating privacy concerns into the UTAUT model and
offering insights for technology providers
E-biorn - the future of biobatteries for e-skin applications: product development & competitor analysis
E-Biorn is a new startup which aims to revolutionize the E-skin market through its collagen based biobattery, the CollBatt. With a range of unique attributes such as flexibility,
stretchability, biodegradability, and non-toxicity, CollBatt emerges as an ideal solution for
wearable devices, particularly those worn on the skin. Focused on the medical wearable devices
sector, the CollBat has the potential to make a substantial impact on the market and enhance
many people's lives. This paper, a part of a larger business proposal, outlines E-Biorn's unique
product offering, a comprehensive competitor analysis and a general overview of the startup’s
activities
A consulting lab on the implementation of electronic shelf labels in a modern retail environment: diligently charting the course through a comprehensive situation analysis
The current project concerns the implementation of Electronic Shelf Labels in Pingo
Doce, analysing their impact on operational efficiency, customer experience, and
financial performance. It delves into the challenges and opportunities posed by ESLs in
the context of the grocery retail sector, considering factors such as political influences,
economic dynamics, and environmental sustainability. Through a comprehensive
financial and operational analysis, the thesis provides strategic recommendations for ESL
adoption. The study emphasises the significance of pilot testing, evaluates critical
performance indicators, and outlines a phased approach for successful ESL integration,
ensuring Pingo Doce's continued role-modelling in the evolving retail landscape
Effects of explicit sponsorship disclosure on user engagement in social media influencer marketing
Copyright: © 2024 by the Management Information Systems Research Center (MISRC) of the University of Minnesota Funding: The authors thank Paul Kievits and colleagues from the Research Software Engineering and Consulting team at Rotterdam School of Management, Erasmus University Rotterdam for their support in data acquisition, processing, and storage. The authors also thank the senior editor, associate editor, and three anonymous reviewers for their helpful comments. The authors also thank the participants of the First Digital Economy Workshop in Lisbon (2019) and the participants of the Business Information Management Research Seminar at the Rotterdam School of Management for their helpful suggestions. The first author appreciates the support from the National Natural Science Foundation of China [Grant 72201238, Grant 72192823, Grant 72322010]. The second author acknowledges funding by Fundação para a Ciência e a Tecnologia (UIDB/00124/2020, UIDP/00124/2020 and Social Sciences DataLab-PINFRA/22209/2016), POR Lisboa and POR Norte (Social Sciences DataLab, PINFRA/22209/2016).Social media influencer marketing has grown substantially in the last decade and is a major advertising channel for many brands. Social media influencers weave sponsored posts with organic content in their feeds, which raises concerns among regulators and consumer advocates that users may not be able to clearly distinguish between sponsored and organic influencer content. Thus, regulators often mandate the explicit disclosure of sponsored content. However, there is little empirical evidence based on field data about the effects of explicit sponsorship disclosure. Therefore, we empirically investigate the effects of explicitly disclosing sponsorship in influencers’ content on users’ engagement using a large-scale field dataset collected from Facebook and Instagram. Our empirical results suggest that explicit sponsorship disclosure increases user awareness of the advertising nature and earns users’ favorability by enhancing the transparency about the sponsored content. We further design two online experiments to corroborate our empirical results and directly test the underlying mechanisms. Our findings have novel and important implications for marketers, influencers, social media platforms, and regulators in the influencer marketing industry.preprintpublishersversionpublishe
Blue economy ecosystem building: the role of the Portuguese government
This research explores the possibilities of improvement of the Blue Economy ecosystem in
Portugal, offering illustrative examples and recommendations for the Portuguese Government
which aim at fostering innovation and sustainable growth in maritime economy. The research
evaluates the current state of the Blue Economy both internationally and nationally,
highlighting the strategic role of Portugal, and focusing on the identified gaps in
infrastructure, collaboration, and policy support. The research uses a varied methodology,
including the analysis of regulatory frameworks and interviews with key stakeholders
Evolution and trends of artificial intelligence related to medical devices: a bibliometric analysis
This bibliometric analysis critically examines the integration of artificial intelligence
(AI) in medical devices, focusing on its developmental structure, prevalent research themes, and
evolutionary trends. The study categorizes the research into three distinct areas: the underlying
knowledge framework of AI applications in medical devices, the thematic focus of current
investigations, and the chronological progression of these themes. Findings indicate a significant
expansion in AI utilization, which enhances diagnostic precision and personalizes treatment
modalities. The study underscores the necessity for continuous technological advancement and
stringent ethical standards, proposing a roadmap for future research and practical implementation
in the MedTech industry
Netnography for Sport Lisboa and Benfica: interacting with its fan base on social networks
The present study aims to complement a Work Project developed in partnership with Sport Lisboa e Benfica1as part of the Sports Management Field Lab. Hence, it incorporates a Netnographic research technique that intends to evaluate and take advantage of the club’s social networks’ interaction. By doing this, and after reviewing literature over the topic ,it was possible to understand better its online community, their behavior, and feelings, empowering conclusions that will be relevant for advising the club on how to better interact with them
Football scouting department evaluation and compensation model applied to SL Benfica - equity compensation
This Work Project aims to provide SL Benfica with a new performance-based compensation model, specifically built for their scouting department, accounting not only quantitative but also qualitative criteria when evaluating professional football scouts’ performance. Based on research about Human Resources Management, Performance Management and Compensation, on the analysis of the club’s current Performance Evaluation model and on interviews pursued with every member of the department, some KPIs were set up to boost scouts’ future performance and to create the new compensation model. To investigate the suitability of equity compensation in the model and in the industry, additional analysis was developed
Samsung field lab voids: comparison of deep learning approaches in demand forecasting for consumer electronic goods
VOIDS is a data science student entrepreneurial project that aims to integrate marketing into demand planning, helping companies to achieve the most accurate way of planning and shaping future demand. The following work applies this vision in a lean agile start-up framework, implementing state-of-the-art deep learning time series forecasting techniques in the business context of the global consumer electronic brand Samsung. The following chapter will present the development of two deep learning models. While the well-known Deep AR model could not improve the overall forecasting accuracy, the newly developed MQCNN showed promising outcomes and resulted in a forecasting accuracy uplift