O capital intelectual e a performance das empresas do PSI 20

Num contexto de crescente complexidade e disponibilidade de informação, a gestão do capital intelectual assume cada vez mais preponderância como vantagem competitiva para as empresas que procuram maximizar o valor gerado. Esta investigação usa como metodologia príncipal o VAIC (coeficiente intelectual do valor adicionado), para assim estudar a existência de relação entre capital intelectual e a performance bolsista e financeira das empresas do PSI20. O VAIC é decomposto nos seus três indicadores de eficiência, tais como: capital humano, capital estrutural e capital físico. Os dados contemplam quinze empresas e nove anos de análise (2003 - 2011). Elaborou-se uma abordagem que recorre à utilização de técnicas econométricas para reduzir potênciais falhas no tratamento de dados em painel. Os resultados da análise demonstram uma relação positiva entre a aposta em capital intelectual a performance bolsista e financeira, ou seja, a utilização e gestão eficientes do capital intelectual contribuem de forma significativa na avaliação bolsista e financeira das empresas do PSI20.

Comparing the performance of geostatistical models with additional information from covariates for sewage plume characterization

In this work, kriging with covariates is used to model and map the spatial distribution of salinity measurements gathered by an autonomous underwater vehicle in a sea outfall monitoring campaign aiming to distinguish the effluent plume from the receiving waters and characterize its spatial variability in the vicinity of the discharge. Four different geostatistical linear models for salinity were assumed, where the distance to diffuser, the west-east positioning, and the south-north positioning were used as covariates. Sample variograms were fitted by the Mat`ern models using weighted least squares and maximum likelihood estimation methods as a way to detect eventual discrepancies. Typically, the maximum likelihood method estimated very low ranges which have limited the kriging process. So, at least for these data sets, weighted least squares showed to be the most appropriate estimation method for variogram fitting. The kriged maps show clearly the spatial variation of salinity, and it is possible to identify the effluent plume in the area studied. The results obtained show some guidelines for sewage monitoring if a geostatistical analysis of the data is in mind. It is important to treat properly the existence of anomalous values and to adopt a sampling strategy that includes transects parallel and perpendicular to the effluent dispersion.

Performance of state space and ARIMA models for consumer retail sales forecasting

Forecasting future sales is one of the most important issues that is beyond all strategic and planning decisions in effective operations of retail businesses. For profitable retail businesses, accurate demand forecasting is crucial in organizing and planning production, purchasing, transportation and labor force. Retail sales series belong to a special type of time series that typically contain trend and seasonal patterns, presenting challenges in developing effective forecasting models. This work compares the forecasting performance of state space models and ARIMA models. The forecasting performance is demonstrated through a case study of retail sales of five different categories of women footwear: Boots, Booties, Flats, Sandals and Shoes. On both methodologies the model with the minimum value of Akaike's Information Criteria for the in-sample period was selected from all admissible models for further evaluation in the out-of-sample. Both one-step and multiple-step forecasts were produced. The results show that when an automatic algorithm the overall out-of-sample forecasting performance of state space and ARIMA models evaluated via RMSE, MAE and MAPE is quite similar on both one-step and multi-step forecasts. We also conclude that state space and ARIMA produce coverage probabilities that are close to the nominal rates for both one-step and multi-step forecasts.

O impacto do capital intelectual na performance

Para as organizações sobreviverem num novo ambiente competitivo, tiveram que deixar de procurar obter vantagens competitivas nos seus recursos tangíveis para as procurarem nos ativos intangíveis. Assim, várias investigações comprovam a necessidade de se dar a devida importância ao conceito de Capital Intelectual como fonte de criação de vantagens competitivas para as organizações. Esta importância aplica-se a vários níveis de análise entre os quais o setor público. Esta investigação visa analisar a importância relativa de cada dimensão do capital intelectual de uma Instituição de Ensino, bem como o impacto do mesmo na performance (percecionada pelos seus stakeholders). Nesta dissertação adotamos o método de Estudo de Caso, utilizando uma abordagem mista – quantitativa e qualitativa. Utilizámos variadas técnicas na recolha de dados, tais como: entrevista, registo de áudio e questionários. Relativamente à análise de dados, efetuamos uma análise de conteúdo, análise de documentos e análise estatística. Ao nível de resultados, a análise qualitativa sugere que as três dimensões do Capital Intelectual (Capital Humano, Capital Estrutural e Capital Relacional) devem possuir a mesma importância relativa para avaliar o capital intelectual de uma Instituição de Ensino. Os resultados quantitativos sugerem que o capital intelectual tem impacto na performance, o que está em linha com a literatura sobre o tema. Finalmente, considerámos que esta tese contribui para uma sensibilização relativamente à importância do capital intelectual para melhorar a gestão e performance em contextos educacionais.

Full-scale biological phosphorus removal: quantification of storage polymers, microbial performance and metabolic modelling

Dissertação para obtenção do Grau de Doutor em Engenharia Química e Bioquímica

Gender Differences in Spatial Cognition: Wayfinding Performance and Sketch Mapping Activity of German Speakers

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies

Gestão da performance na cadeia de abastecimento lean: desenvolvimento de uma framework baseada no balanced scorecard

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

PERFORMANCE OF CONVENTIONAL PCRs BASED ON PRIMERS DIRECTED TO NUCLEAR AND MITOCHONDRIAL GENES FOR THE DETECTION AND IDENTIFICATION OF Leishmania spp.

In visceral leishmaniasis, the detection of the agent is of paramount importance to identify reservoirs of infection. Here, we evaluated the diagnostic attributes of PCRs based on primers directed to cytochrome-B (cytB), cytochrome-oxidase-subunit II (coxII), cytochrome-C (cytC), and the minicircle-kDNA. Although PCRs directed to cytB, coxII, cytC were able to detect different species of Leishmania, and the nucleotide sequence of their amplicons allowed the unequivocal differentiation of species, the analytical and diagnostic sensitivity of these PCRs were much lower than the analytical and diagnostic sensitivity of the kDNA-PCR. Among the 73 seropositive animals, the asymptomatic dogs had spleen and bone marrow samples collected and tested; only two animals were positive by PCRs based on cytB, coxII, and cytC, whereas 18 were positive by the kDNA-PCR. Considering the kDNA-PCR results, six dogs had positive spleen and bone marrow samples, eight dogs had positive bone marrow results but negative results in spleen samples and, in four dogs, the reverse situation occurred. We concluded that PCRs based on cytB, coxII, and cytC can be useful tools to identify Leishmania species when used in combination with automated sequencing. The discordance between the results of the kDNA-PCR in bone marrow and spleen samples may indicate that conventional PCR lacks sensitivity for the detection of infected dogs. Thus, primers based on the kDNA should be preferred for the screening of infected dogs.

Numerical Evaluation of Ventilation Performance in Children Day Care Centres

Modelling of ventilation is strongly dependent on the physical characteristics of the building of which precise evaluation is a complex and time consuming task. In the frame of a research project, two children day care centres (CDCC) have been selected in order to measure the envelope air permeability, the flow rate of mechanical ventilation systems and indoor and outdoor temperature. The data obtained was used as input to the computer code CONTAM for ventilation simulations. The results obtained were compared with direct measurements of ventilation flow from short term measurements with CO2 tracer gas and medium term measurements with perfluorocarbon tracer (PFT) gas decay method. After validation, in order to analyse the main parameters that affect ventilation, the model was used to predict the ventilation rates for a wide range of conditions. The purpose of this assessment was to find the best practices to improve natural ventilation. A simple analytical method to predict the ventilation flow rate of rooms is also presented. The method is based on the estimation of wind effect on the room through the evaluation of an average factor and on the assessment of relevant cross section of gaps and openings combined in series or in parallel. It is shown that it may be applied with acceptable accuracy for this type of buildings when ventilation is due essentially to wind action.

Tão perto do silêncio: memória, performance e exílio entre refugiados e requerentes de asilo em Portugal (documentário)

Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Antropologia – Culturas Visuais

Strategies for the enhancement of the catalytic performance of cutinase in nonaqueous media

Dissertação para obtenção do Grau de Doutor em Engenharia Química e Bioquímica

Innovation at Polisport: Discoverding the drivers and impact on performance at a Portuguese SME

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Designing and implementing a performance: The case of Estomeo – Dental Industry

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Mota-Engil: A solution to turnover its negative stock market performance

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Leader succession: The impact of leaders’ background characteristics on organizations’ performance

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics