Avaliação de empresas: análise fundamental

Mestrado em Contabilidade

Gestão de manutenção de uma empresa gráfica

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

SGBD de alta escalabilidade com suporte a dados georreferenciados

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Informática e de Computadores

Marketing : a (ir)racionalidade dos consumidores, numa perspetiva empreendedora

Mestrado em Gestão e Empreendedorismo

A criação de valor no sector da pasta, papel e cartão : caso Portucel Soporcel

Mestrado em Gestão e Empreendedorismo

Paired indices for clustering evaluation correction for agreement by chance

In the present paper we focus on the performance of clustering algorithms using indices of paired agreement to measure the accordance between clusters and an a priori known structure. We specifically propose a method to correct all indices considered for agreement by chance - the adjusted indices are meant to provide a realistic measure of clustering performance. The proposed method enables the correction of virtually any index - overcoming previous limitations known in the literature - and provides very precise results. We use simulated datasets under diverse scenarios and discuss the pertinence of our proposal which is particularly relevant when poorly separated clusters are considered. Finally we compare the performance of EM and KMeans algorithms, within each of the simulated scenarios and generally conclude that EM generally yields best results.

A importância do planeamento e orçamentação nas empreitadas de obras de instalações mecânicas

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

Comunicação organizacional eficaz e tecnologias da informação e da comunicação

Tese de Doutoramento em Sociologia da Comunicação

The need of performance indicators for collaborative business ecosystems

During last decades there has been a trend to build collaboration platforms as enablers for groups of enterprises to jointly provide integrated services and products. As a result, the notion of business ecosystem is getting wider acceptance. However, a critical issue that is still open, despite some efforts in this area, is the identification of adequate performance indicators to measure and motivate sustainable collaboration. This work-in-progress addresses this concern, briefly presenting the state of the art of relevant contributing areas such as, collaborative networks, business ecosystems, enterprise performance indicators, social networks analysis, and supply chains. Complementarily, through an assessment of current gaps, the research challenges are identified and an approach for further development is proposed.