International market selection of Carrefour

Carrefour has been internationalizing into many countries and would like to continue growing. This study focuses on the potential future international market selection of Car-refour, comparing countries from the EU and South America, in a quantitative and qual-itative analysis. The purpose of the project is to help Carrefour to find the right market and the right mode to entry. Through semi-structured interviews and a literature research we found out that Sweden has the highest potential to entry with a Venture (Marketing), followed by Austria

Lisbon Street Art & Urban Creativity. 2014 International Conference

Disponível para consulta - índice e introdução.

Evaluation of the World Health Organization 2009 classification of dengue severity in autopsied individuals, during the epidemics of 2011 and 2012 in Brazil

Abstract: INTRODUCTION: The dengue classification proposed by the World Health Organization (WHO) in 2009 is considered more sensitive than the classification proposed by the WHO in 1997. However, no study has assessed the ability of the WHO 2009 classification to identify dengue deaths among autopsied individuals suspected of having dengue. In the present study, we evaluated the ability of the WHO 2009 classification to identify dengue deaths among autopsied individuals suspected of having dengue in Northeast Brazil, where the disease is endemic. METHODS: This retrospective study included 121 autopsied individuals suspected of having dengue in Northeast Brazil during the epidemics of 2011 and 2012. All the autopsied individuals included in this study were confirmed to have dengue based on the findings of laboratory examinations. RESULTS: The median age of the autopsied individuals was 34 years (range, 1 month to 93 years), and 54.5% of the individuals were males. According to the WHO 1997 classification, 9.1% (11/121) of the cases were classified as dengue hemorrhagic fever (DHF) and 3.3% (4/121) as dengue shock syndrome. The remaining 87.6% (106/121) of the cases were classified as dengue with complications. According to the 2009 classification, 100% (121/121) of the cases were classified as severe dengue. The absence of plasma leakage (58.5%) and platelet counts <100,000/mm3 (47.2%) were the most frequent reasons for the inability to classify cases as DHF. CONCLUSIONS: The WHO 2009 classification is more sensitive than the WHO 1997 classification for identifying dengue deaths among autopsied individuals suspected of having dengue.

Analysis of classification algorithms for crop detection using LANDSAT 8 images

Remote sensing - the acquisition of information about an object or phenomenon without making physical contact with the object - is applied in a multitude of different areas, ranging from agriculture, forestry, cartography, hydrology, geology, meteorology, aerial traffic control, among many others. Regarding agriculture, an example of application of this information is regarding crop detection, to monitor existing crops easily and help in the region’s strategic planning. In any of these areas, there is always an ongoing search for better methods that allow us to obtain better results. For over forty years, the Landsat program has utilized satellites to collect spectral information from Earth’s surface, creating a historical archive unmatched in quality, detail, coverage, and length. The most recent one was launched on February 11, 2013, having a number of improvements regarding its predecessors. This project aims to compare classification methods in Portugal’s Ribatejo region, specifically regarding crop detection. The state of the art algorithms will be used in this region and their performance will be analyzed.

Análise comparativa da designação, definição e classificação de resíduos hospitalares em legislações da União Europeia

RESUMO - O quadro legislativo de um país, no que concerne aos resíduos hospitalares (RH), contém a sua designação, definição e classificação. É essa a matriz de referência para a separação efectuada na origem e todo o circuito que, a partir desse momento, um determinado resíduo toma até ao seu tratamento. Assim, faz-se o estudo comparativo das definições e tipos de classificação de RH em quatro países da União Europeia: Alemanha, Reino Unido, Espanha (Região Autónoma da Catalunha) e Portugal. Reconhecem-se as diferentes designações deste tipo de resíduos e discute-se o seu significado e as suas implicações na percepção de risco por parte dos profissionais e do público. Identificam-se duas estratégias subjacentes à elaboração das definições: a contaminação de materiais com microrganismos patogénicos bem definidos, as suas fontes e as actividades que os produzem. Apresentam-se as classificações de RH propostas pelos organismos internacionais de referência e analisa-se comparativamente a evolução do enquadramento legal português e da Região Autónoma da Catalunha, evidenciando-se a variabilidade temporal e justificando-se a necessidade de se efectuar o estudo da variabilidade geográfica. Utilizam-se três critérios para a análise das classificações consideradas: a concordância definição-classificação, o número e tipo de grupos das classificações e os tipos de resíduos por grupos. Identificam-se os denominadores comuns às classificações analisadas, assim como as suas principais diferenças. Conclui-se que a definição de RH adoptada por cada país condiciona o tipo de classificação de RH nesse mesmo país. Verifica-se ainda que a inexistência de critérios claros de avaliação da contaminação pode dificultar a tarefa da triagem dos RH por parte dos profissionais de saúde.

International placement analysis of the German business market for a Nova Achool of Business and Economics graduate student

Changes in today’s society led to the evolution of professional migrations and individual searches for more suitable professional opportunities and careers outside one’s countries. International Placement is nowadays one of the world’s biggest trends in higher education for the future ahead and an appealing demand of the Millennium generations. The following work project aims to study the German business market identifying the most attractive German companies and respective graduate programs for a Nova School of Business and Economics graduate student. The study’s conclusion relies on concrete strategic suggestions regarding the implementation of the results and practical use of the outcome provided.

Reporting cash flow evidence from campanies listed in the Euronext Lisbon

Based on the 2013 and 2014 consolidated statements of cash flows of companies listed in Euronext Lisbon, this Work Project analyses the cash flow disclosures, namely if they are in accordance with International Accounting Standards 7, specifically the format, the choice of classification interests, dividends paid and received and the composition of cash and cash equivalents. Additionally, quality of income ratio is analyzed due to its importance for users of financial statements. The results show evidence of uniformity and consistency in the use of the direct method for reporting operational activities in both years, but there are some differences regarding the disclosure of interests and dividends, paid and received, respectively.

A proactive approach o XY international expansion

This work project was conducted under a Direct Research internship (DRI) that consists on an individual dissertation established on a given organization. DRI has a problem solving format to an empirical question to be addressed, «Which country has the highest potential for the next step of XY internationalization process? ». In order to achieve the project’s purpose, it was conducted a scanning process using a top-down approach over an initial list of nine countries given by XY. To do so it was developed an international scanning framework based on different domains and weights that allowed to achieve the top two countries with highest potential. After an in depth analysis over the final set, it was recommended Switzerland as the best country to make the next step of XY internationalization in Europe.

International partner selection Indian technical textile market

Due to a combination of a vast agricultural industry and a tremendously growing technical textile industry, Ludvig Svensson identified India as target market for possible expansion through domestic production and supply. However, Svensson needed additional information about the industry structure and key players. Therefore, this project focused on a detailed analysis of the technical textile market and its players by following the international partner selection process. Thereby, five key players were identified as potential partners, as well as the need for additional research to determine alternative entry modes, as the market does not currently seem to be receptive for Svensson products.

How do global born companies ignite their internationalization and survive in international markets?

Over the last decades, the born global firms or the international new ventures (“INVs”) have assumed a growing role in international business, including in Portugal. The rise of this new type of multinational has challenged several theories concerning the development of multinational companies and the origin of companies’ competitive advantage. This qualitative, case-based research explores the most relevant traits shown by some Portuguese born-global firms. More concretely, the aim of this work is to compare some Portuguese international new ventures in order to understand the role of leadership, culture and strategy in their rapid internationalization and the source of their lasting competitive advantage. It was noticed that these firms’ lasting competitive advantage results from a singular combination of resources and dynamic capabilities that evolves over time. Moreover, it was found that these firms’ foreign subsidiaries and local networks may be essential to enhance the firms competitive advantage as it provides each firm a distinctive source of knowledge and capabilities. As a consequence, the effective assimilation of such resources and capabilities in these firms’ may become crucial for their lasting success. In addition, the leadership, strategy and culture in these firms seem to be quite aligned and form a quite virtuous cycle that contributed to the firms rapid internationalization and for the way the firms developed their own resources and dynamic capabilities and adapted to external environment.

Mapping the Pasture Steppe in Bayankhongor, Mongolia: comparison of classification methods, using Landsat-8 and geophysical data

Grasslands in semi-arid regions, like Mongolian steppes, are facing desertification and degradation processes, due to climate change. Mongolia’s main economic activity consists on an extensive livestock production and, therefore, it is a concerning matter for the decision makers. Remote sensing and Geographic Information Systems provide the tools for advanced ecosystem management and have been widely used for monitoring and management of pasture resources. This study investigates which is the higher thematic detail that is possible to achieve through remote sensing, to map the steppe vegetation, using medium resolution earth observation imagery in three districts (soums) of Mongolia: Dzag, Buutsagaan and Khureemaral. After considering different thematic levels of detail for classifying the steppe vegetation, the existent pasture types within the steppe were chosen to be mapped. In order to investigate which combination of data sets yields the best results and which classification algorithm is more suitable for incorporating these data sets, a comparison between different classification methods were tested for the study area. Sixteen classifications were performed using different combinations of estimators, Landsat-8 (spectral bands and Landsat-8 NDVI-derived) and geophysical data (elevation, mean annual precipitation and mean annual temperature) using two classification algorithms, maximum likelihood and decision tree. Results showed that the best performing model was the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), using the decision tree. For maximum likelihood, the model that incorporated Landsat-8 bands with mean annual precipitation (Model 5) and the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), achieved the higher accuracies for this algorithm. The decision tree models consistently outperformed the maximum likelihood ones.

A taxonomy for the flexible job shop scheduling problem

This chapter aims at developing a taxonomic framework to classify the studies on the flexible job shop scheduling problem (FJSP). The FJSP is a generalization of the classical job shop scheduling problem (JSP), which is one of the oldest NP-hard problems. Although various solution methodologies have been developed to obtain good solutions in reasonable time for FSJPs with different objective functions and constraints, no study which systematically reviews the FJSP literature has been encountered. In the proposed taxonomy, the type of study, type of problem, objective, methodology, data characteristics, and benchmarking are the main categories. In order to verify the proposed taxonomy, a variety of papers from the literature are classified. Using this classification, several inferences are drawn and gaps in the FJSP literature are specified. With the proposed taxonomy, the aim is to develop a framework for a broad view of the FJSP literature and construct a basis for future studies.

WOS 8th international conference - Book of Abstracts

Proceedings book of the WOS 8th international conference - Book of Abstracts Edited by WOS2015 - University of Minho Includes biographical references and index.

Safety classification using GIS in decision-making process to define priority road interventions

Given the current economic situation of the Portuguese municipalities, it is necessary to identify the priority investments in order to achieve a more efficient financial management. The classification of the road network of the municipality according to the occurrence of traffic accidents is fundamental to set priorities for road interventions. This paper presents a model for road network classification based on traffic accidents integrated in a geographic information system. Its practical application was developed through a case study in the municipality of Barcelos. An equation was defined to obtain a road safety index through the combination of the following indicators: severity, property damage only and accident costs. In addition to the road network classification, the application of the model allows to analyze the spatial coverage of accidents in order to determine the centrality and dispersion of the locations with the highest incidence of road accidents. This analysis can be further refined according to the nature of the accidents namely in collision, runoff and pedestrian crashes.