Bem-vindo ao Repositório do Iscte – Instituto Universitário de Lisboa
O Repositório Institucional do Iscte tem como objetivo preservar, divulgar e dar acesso à produção intelectual do Iscte em formato digital. Na medida em que reúne o conjunto de publicações académicas e científicas do Iscte, contribui também para o aumento da visibilidade e impacto do trabalho de investigação a nível nacional e internacional.
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Predictive analysis of incidents based on software deployments
Ver10071/22565A high number of IT organizations have problems when deploying their services, this alongside with the high number of services that organizations have daily, makes Incident Management (IM) process quite demanding. An effective IM system need to enable decision makers to detect pro...
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Structured and unstructured data integration with electronic medical records
Ver10071/22564Medicine is a field with high volatility of changes. Everyday new discoveries and procedures are tested with the sole goal of providing a better-quality life to patients. With the evolution of computer science, multiple fields saw an increase of productivity and solutions that coul...
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How does sustainability affect consumer choices in the fashion industry?
Ver10071/22563The fashion industry being one of the most polluting industries in the world, only means that it is an industry with an immense potential for change. Consumers are central and are closely intertwined with how companies act. This research reflects consumer perspectives ...
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An analysis of corporate governance under the dual class structure: A case study of JD
Ver10071/22562E-commerce in China has grown rapidly in the past 20 years. Two technologies play a crucial role; One is mobile payments, and the other is logistics. With the rapid growth of the industry, several excellent e commerce enterprises emerge at the historic moment. JD i...
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Underpriced IPOs in the US: Influence of sectors and VCs in IPOs performance and price
Ver10071/22561Underpricing is present in most of the initial public offerings, which tend to underperform in the course of time. For that reason, I develop regression models that evaluate the impact and importance of factors such as offer price, closing price, underpricing, type of sector, ...
