Customer Lifetime Value: a framework for application in the insurance industry - Building a Business Process to Generate and Maintain an Automatic Estimation Agent

Research Project submited as partial fulfilment for the Master Degree in Statistics and Information Management

Supply chain integration model: practices and customer values

Dissertation to obtain PhD in Industrial Engineering

A simulation model for lean, agile, resilient and green supply chain management: practices and interoperability assessment

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

Multiresponsive supramolecular systems for information processing at the molecular level

Dissertação para obtenção do Grau de Doutor em Química Sustentável

Business model: What should be the strategy used by Smart Galp to implement and potentiate its value proposition in the Portuguese market?

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

Quality of process modeling using BPMN: a model-driven approach

Dissertação para obtenção do Grau de Doutor em Engenharia Informática

E-Health individual adoption - empirical model based on UTAUT 2.

The future of health care delivery is becoming more citizen-centred, as today’s user is more active, better informed and more demanding. The European Commission is promoting online health services and, therefore, member states will need to boost deployment and use of online services. This makes e-health adoption an important field to be studied and understood. This study applied the extended unified theory of acceptance and usage technology (UTAUT2) to explain patients’ individual adoption of e-health. An online questionnaire was administrated Portugal using mostly the same instrument used in UTAUT2 adapted to e-health context. We collected 386 valid answers. Performance expectancy, effort expectancy, social influence, and habit had the most significant explanatory power over behavioural intention and habit and behavioural intention over technology use. The model explained 52% of the variance in behavioural intention and 32% of the variance in technology use. Our research helps to understand the desired technology characteristics of ehealth. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt e-health systems or not.

The implementation of an Enterprise Geographical Information System to support Cadastre and Expropriation activities.

The processes of mobilization of land for infrastructures of public and private domain are developed according to proper legal frameworks and systematically confronted with the impoverished national situation as regards the cadastral identification and regularization, which leads to big inefficiencies, sometimes with very negative impact to the overall effectiveness. This project report describes Ferbritas Cadastre Information System (FBSIC) project and tools, which in conjunction with other applications, allow managing the entire life-cycle of Land Acquisition and Cadastre, including support to field activities with the integration of information collected in the field, the development of multi-criteria analysis information, monitoring all information in the exploration stage, and the automated generation of outputs. The benefits are evident at the level of operational efficiency, including tools that enable process integration and standardization of procedures, facilitate analysis and quality control and maximize performance in the acquisition, maintenance and management of registration information and expropriation (expropriation projects). Therefore, the implemented system achieves levels of robustness, comprehensiveness, openness, scalability and reliability suitable for a structural platform. The resultant solution, FBSIC, is a fit-for-purpose cadastre information system rooted in the field of railway infrastructures. FBSIC integrating nature of allows: to accomplish present needs and scale to meet future services; to collect, maintain, manage and share all information in one common platform, and transform it into knowledge; to relate with other platforms; to increase accuracy and productivity of business processes related with land property management.

New visualization model for large scale biosignals analysis

Benefits of long-term monitoring have drawn considerable attention in healthcare. Since the acquired data provides an important source of information to clinicians and researchers, the choice for long-term monitoring studies has become frequent. However, long-term monitoring can result in massive datasets, which makes the analysis of the acquired biosignals a challenge. In this case, visualization, which is a key point in signal analysis, presents several limitations and the annotations handling in which some machine learning algorithms depend on, turn out to be a complex task. In order to overcome these problems a novel web-based application for biosignals visualization and annotation in a fast and user friendly way was developed. This was possible through the study and implementation of a visualization model. The main process of this model, the visualization process, comprised the constitution of the domain problem, the abstraction design, the development of a multilevel visualization and the study and choice of the visualization techniques that better communicate the information carried by the data. In a second process, the visual encoding variables were the study target. Finally, the improved interaction exploration techniques were implemented where the annotation handling stands out. Three case studies are presented and discussed and a usability study supports the reliability of the implemented work.

Provide instructions and resources for assessment and training in earth building: the Pirate project

This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Epidemiologia da insónia em adolescentes : do diagnóstico de situação à intervenção

RESUMO - Introdução: Os problemas do sono, designadamente a insónia, os sintomas de insónia, os padrões de sono inadequados e a sonolência diurna, são frequentes na adolescência. Estes problemas estão frequentemente associados a múltiplos fatores, entre os quais estilos de vida e fatores ambientais, e apresentam consequências significativas na vida do adolescente e posteriormente na idade adulta. O sono e as suas perturbações deveriam constituir uma preocupação para os profissionais da saúde e da educação com o objetivo de tornar os hábitos de sono saudáveis num estilo de vida - com benefícios calculáveis como os associados a outros estilos de vida saudáveis (alimentação e exercício físico). Em Portugal, os estudos sobre problemas do sono em adolescentes são escassos, bem como as intervenções individuais e comunitárias no âmbito da higiene do sono. Os objetivos desta investigação foram estimar a prevalência de insónia e de sintomas de insónia em adolescentes, identificar fatores de risco e protetores dos sintomas de insónia, analisar as repercussões dos sintomas de insónia, caracterizar os padrões de sono dos adolescentes do distrito de Viseu e elaborar uma proposta de intervenção destinada à promoção da higiene do sono adaptada às características dos adolescentes do distrito de Viseu. Métodos: Realizou-se um estudo transversal onde se avaliaram alunos de vinte e seis escolas públicas do terceiro ciclo e secundário do distrito de Viseu, durante ano letivo 2011/2012. A recolha dos dados foi efetuada através de um questionário autoaplicado e respondido pelos alunos em sala de aula. Foram considerados elegíveis para participar no estudo todos os alunos que frequentassem entre o 7.º e o 12.º ano de escolaridade e tivessem idades entre os 12 e os 18 anos. Dos 9237 questionários distribuídos recolheu-se 7581 (82,1%). Foram excluídos da análise os questionários relativos a adolescentes com idade inferior a 12 ou superior a 18 anos e os questionários devolvidos por preencher. A amostra global foi constituída por 6919 adolescentes, sendo 3668 (53,2%) do sexo feminino. A insónia foi definida com base na presença, no mês prévio, dos sintomas de insónia definidos nos critérios do DSM-IV (dificuldade em adormecer, dificuldade em manter o sono, acordar muito cedo e ter dificuldade em voltar a adormecer e sono não reparador) com uma frequência de pelo menos três vezes por semana e associados a consequências no dia-a-dia. A qualidade de vida foi avaliada com recurso à escala de qualidade de vida SF-36; a sintomatologia depressiva através do Inventário de Depressão de Beck para adolescentes (BDI-II) e a sonolência diurna utilizando a Escala de Sonolência de Epworth (ESE). Para responder ao último objetivo foi elaborada uma proposta de intervenção individual e comunitária no âmbito da higiene do sono. A proposta resulta da evidência científica, dos resultados da presente investigação e de reuniões com profissionais da saúde e da educação. Resultados: No total da amostra, a prevalência de insónia foi de 8,3% e de sintomas de insónia foi de 21,4%. A prevalência de insónia foi superior no sexo feminino (10,1% vs. 5,9%; p<0,001) assim como a prevalência de sintomas de insónia (25,6% vs. 15,8%; p<0,001). Individualmente, todos os sintomas foram mais prevalentes no sexo feminino, sendo a diferença estatisticamente significativa (p<0,001). Em média os adolescentes dormiam, durante a semana, 8:04±1:13 horas. A prevalência de sono insuficiente (< 8 horas) foi de 29%. Apenas 6,4% dos adolescentes indicaram que se deitavam todas as noites à mesma hora. A prevalência de sintomatologia depressiva foi de 20,9% (26,0% nas raparigas e 15,1% nos rapazes, p<0,001). A prevalência de sonolência diurna foi de 33,1%, apresentando o sexo feminino um risco superior (OR=1,40; IC95%: 1,27-1,55). A prevalência de sintomatologia depressiva e de sonolência diurna foi superior entre os adolescentes com sintomas de insónia (48,2% vs. 18,8%, p<0,001 e 42,4% vs. 33,0%, p<0,001, respetivamente). Os adolescentes com sintomas de insónia apresentavam igualmente pior qualidade de vida. Em relação a outras repercussões no dia-a-dia, foram os adolescentes com sintomas de insónia que referiam mais vezes sentir dificuldade em levantar-se de manhã, acordar com cefaleias, acordar cansado e recorrer a medicação para dormir. Nos rapazes os sintomas de insónia associaram-se com o IMC. Após o ajustamento para o sexo e idade com recurso à regressão logística verificou-se uma associação entre sintomas de insónia e sexo feminino [OR ajustado(idade)= 1,82; IC95%: 1,56-2,13], idade ≥16 anos [OR ajustado(sexo)= 1,17; IC95%: 1,01-1,35], residência urbana (OR ajustado= 1,30; IC95%: 1,04-1,63), consumo de café (OR ajustado= 1,40; IC95%: 1,20-1,63), consumo de bebidas alcoólicas (OR ajustado= 1,21; IC95%: 1,03-1,41) e sintomatologia depressiva (OR ajustado= 3,59; IC95%: 3,04-4,24). Quanto à escolaridade dos pais, verificou-se uma redução do risco com o aumento da escolaridade dos pais (5º-6º ano OR ajustado= 0,82; IC95%: 0,64- 1,05; 7º-12º ano OR ajustado= 0,77; IC95%: 0,61-0,97; >12º ano OR ajustado= 0,64; IC95%: 0,47-0,87). Após uma análise multivariada, o modelo preditivo para a ocorrência de sintomas de insónia incluiu as variáveis sexo feminino, viver em meio urbano, consumir café e apresentar sintomatologia depressiva. Este modelo apresenta uma especificidade de 84,2% e uma sensibilidade de 63,6%. O sono insuficiente associou-se, após ajuste para o sexo e idade, com o ano de escolaridade, estado civil dos pais, determinados estilos de vida (consumo de café, tabagismo, consumo de álcool, consumo de outras drogas, sair à noite, presença de TV no quarto e número de horas despendido a ver televisão e no computador), latência do sono, sesta > 30 minutos, horários de sono irregulares e com a toma de medicamentos para dormir. Os resultados deste estudo constituem um diagnóstico de situação relativamente aos problemas de sono em adolescentes no distrito de Viseu. Tendo por base os princípios da Carta de Ottawa relativamente à promoção da saúde, a proposta elaborada visa a implementação de estratégias de prevenção agrupadas em intervenções individuais, comunitárias e sobre os planos curriculares. As intervenções baseiam-se na utilização das tecnologias da informação e comunicação, no contexto da nova arquitetura na esfera pública da saúde conducente aos sistemas personalizados de informação em saúde (SPIS). Conclusões: Registou-se uma elevada prevalência de insónia e sintomas de insónia entre os adolescentes do distrito de Viseu, superior no sexo feminino. A presença de sintomas de insónia esteve associada, sobretudo, a determinados estilos de vida e à ausência de higiene do sono. Os problemas de sono em adolescentes, devido à sua frequência e repercussões, devem constituir uma preocupação em termos de saúde pública e constituir uma prioridade nas estratégias de educação para a saúde. Os 9 princípios da intervenção delineada visam uma abordagem preventiva de problemas de sono - através da ação conjunta de profissionais da saúde e da educação, de elementos da comunidade e com o indispensável envolvimento dos adolescentes e da família -, procurando instituir os hábitos de sono saudáveis como um estilo de vida.

Influence of Lean and Green on supply chain performance: an interpretive structural modelling model

This work aims to identify and rank a set of Lean and Green practices and supply chain performance measures on which managers should focus to achieve competitiveness and improve the performance of automotive supply chains. The identification of the contextual relationships among the suggested practices and measures, was performed through literature review. Their ranking was done by interviews with professionals from the automotive industry and academics with wide knowledge on the subject. The methodology of interpretive structural modelling (ISM) is a useful methodology to identify inter relationships among Lean and Green practices and supply chain performance measures and to support the evaluation of automotive supply chain performance. Using the ISM methodology, the variables under study were clustered according to their driving power and dependence power. The ISM methodology was proposed to be used in this work. The model intends to provide a better understanding of the variables that have more influence (driving variables), the others and those which are most influenced (dependent variables) by others. The information provided by this model is strategic for managers who can use it to identify which variables they should focus on in order to have competitive supply chains.

Enterprise reference lexicon building from business models

Nowadays, a significant increase on the demand for interoperable systems for exchanging data in business collaborative environments has been noticed. Consequently, cooperation agreements between each of the involved enterprises have been brought to light. However, due to the fact that even in a same community or domain, there is a big variety of knowledge representation not semantically coincident, which embodies the existence of interoperability problems in the enterprises information systems that need to be addressed. Moreover, in relation to this, most organizations face other problems about their information systems, as: 1) domain knowledge not being easily accessible by all the stakeholders (even intra-enterprise); 2) domain knowledge not being represented in a standard format; 3) and even if it is available in a standard format, it is not supported by semantic annotations or described using a common and understandable lexicon. This dissertation proposes an approach for the establishment of an enterprise reference lexicon from business models. It addresses the automation in the information models mapping for the reference lexicon construction. It aggregates a formal and conceptual representation of the business domain, with a clear definition of the used lexicon to facilitate an overall understanding by all the involved stakeholders, including non-IT personnel.

Bits, Atoms, and Information Sharing: new opportunities for participation

The particular characteristics and affordances of technologies play a significant role in human experience by defining the realm of possibilities available to individuals and societies. Some technological configurations, such as the Internet, facilitate peer-to-peer communication and participatory behaviors. Others, like television broadcasting, tend to encourage centralization of creative processes and unidirectional communication. In other instances still, the affordances of technologies can be further constrained by social practices. That is the case, for example, of radio which, although technically allowing peer-to-peer communication, has effectively been converted into a broadcast medium through the legislation of the airwaves. How technologies acquire particular properties, meanings and uses, and who is involved in those decisions are the broader questions explored here. Although a long line of thought maintains that technologies evolve according to the logic of scientific rationality, recent studies demonstrated that technologies are, in fact, primarily shaped by social forces in specific historical contexts. In this view, adopted here, there is no one best way to design a technological artifact or system; the selection between alternative designs—which determine the affordances of each technology—is made by social actors according to their particular values, assumptions and goals. Thus, the arrangement of technical elements in any technological artifact is configured to conform to the views and interests of those involved in its development. Understanding how technologies assume particular shapes, who is involved in these decisions and how, in turn, they propitiate particular behaviors and modes of organization but not others, requires understanding the contexts in which they are developed. It is argued here that, throughout the last century, two distinct approaches to the development and dissemination of technologies have coexisted. In each of these models, based on fundamentally different ethoi, technologies are developed through different processes and by different participants—and therefore tend to assume different shapes and offer different possibilities. In the first of these approaches, the dominant model in Western societies, technologies are typically developed by firms, manufactured in large factories, and subsequently disseminated to the rest of the population for consumption. In this centralized model, the role of users is limited to selecting from the alternatives presented by professional producers. Thus, according to this approach, the technologies that are now so deeply woven into human experience, are primarily shaped by a relatively small number of producers. In recent years, however, a group of three interconnected interest groups—the makers, hackerspaces, and open source hardware communities—have increasingly challenged this dominant model by enacting an alternative approach in which technologies are both individually transformed and collectively shaped. Through a in-depth analysis of these phenomena, their practices and ethos, it is argued here that the distributed approach practiced by these communities offers a practical path towards a democratization of the technosphere by: 1) demystifying technologies, 2) providing the public with the tools and knowledge necessary to understand and shape technologies, and 3) encouraging citizen participation in the development of technologies.

Analysis and visualization of energy use for university campus

The reduction of greenhouse gas emissions is one of the big global challenges for the next decades due to its severe impact on the atmosphere that leads to a change in the climate and other environmental factors. One of the main sources of greenhouse gas is energy consumption, therefore a number of initiatives and calls for awareness and sustainability in energy use are issued among different types of institutional and organizations. The European Council adopted in 2007 energy and climate change objectives for 20% improvement until 2020. All European countries are required to use energy with more efficiency. Several steps could be conducted for energy reduction: understanding the buildings behavior through time, revealing the factors that influence the consumption, applying the right measurement for reduction and sustainability, visualizing the hidden connection between our daily habits impacts on the natural world and promoting to more sustainable life. Researchers have suggested that feedback visualization can effectively encourage conservation with energy reduction rate of 18%. Furthermore, researchers have contributed to the identification process of a set of factors which are very likely to influence consumption. Such as occupancy level, occupants behavior, environmental conditions, building thermal envelope, climate zones, etc. Nowadays, the amount of energy consumption at the university campuses are huge and it needs great effort to meet the reduction requested by European Council as well as the cost reduction. Thus, the present study was performed on the university buildings as a use case to: a. Investigate the most dynamic influence factors on energy consumption in campus; b. Implement prediction model for electricity consumption using different techniques, such as the traditional regression way and the alternative machine learning techniques; and c. Assist energy management by providing a real time energy feedback and visualization in campus for more awareness and better decision making. This methodology is implemented to the use case of University Jaume I (UJI), located in Castellon, Spain.