910 resultados para Keywords: aroma printing, microencapsulation, scratch and sniff, smell, market possibilities
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The growth of direct marketing has been attributed to rapid advances in technology and the changing market context. The fundamental ability of direct marketers to communicate with consumers and to elicit a response, combined with the ubiquitous nature and power of mobile digital technology, provides a synergy that will increase the potential for the success of direct marketing. The aim of this paper is to provide an analytical framework identifying the developments in the digital environment from e-marketing to m-marketing, and to alert direct marketers to the enhanced capabilities available to them.
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Esse texto tem por objetivo apresentar os resultados parciais do projeto ???Mapeamento da Oferta de Capacita????o nas Escolas de Governo??? e debater as possibilidades que se abrem para a gest??o do conhecimento e para o gerenciamento das informa????es estrat??gicas visando ?? tomada de decis??es e a otimiza????o dos recursos dispon??veis para a capacita????o. O projeto mapeamento tem por objetivo coletar dados da oferta existente de capacita????o em escolas de governo brasileiras, em n??vel municipal, estadual e federal. Foi concebido em tr??s fases: coleta das informa????es cadastrais e sobre a disponibilidade de cursos; constru????o do vocabul??rio controlado e classifica????o dos cursos; e transposi????o dessas informa????es para um sistema de informa????es com interface web: o Sistema Mapa. O Sistema Mapa, se efetivamente incorporado e utilizado, poder?? constituir um sistema de informa????o que auxilie os gestores e dirigentes a planejar e realizar planos de capacita????o, utilizando de forma eficiente a oferta existente nas escolas de governo. Al??m disso, poder?? contribuir para melhor coordena????o das atividades de capacita????o, incentivo ?? complementaridade, redu????o de duplicidades e incentivo ?? amplia????o da comunica????o entre as institui????es da Rede.
Os fundos de investimento imobiliário listados em bolsa e as variáveis que influenciam seus retornos
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Os fundos de investimento imobiliário combinam características tanto do mercado imobiliário, fonte de seus rendimentos, quanto do mercado de capitais, ambiente em que são negociados. O impacto de cada um desses mercados subjacentes no comportamento, desempenho e risco dessa classe de ativos não é, no entanto, ainda claramente definida, sendo um dos grandes temas em análise, tanto na literatura acadêmica, quanto na indústria de fundos internacionais. Em face da significativa expansão dessa alternativa de investimento no mercado brasileiro, no presente estudo foram analisadas as variáveis que influenciam os retornos dos fundos imobiliários brasileiros para uma amostra de fundos listados em Bolsa de Valores de São Paulo, período de 2008-2013. Seguindo a metodologia de Clayton e Mackinnon (2003), os fatores explicativos dos retornos foram decompostos em quatro componentes principais, sendo três fatores de retorno de mercado (mercado de ações, mercado de renda fixa e mercado imobiliário) e risco idiossincrático. De acordo com a estatística descritiva, os fundos imobiliários da amostra apresentaram maior retorno em relação aos demais mercados, exceto em comparação com o mercado imobiliário, porém com menor risco. As análises de correlação, regressão e decomposição da variância indicam que o mercado de ações e o mercado imobiliário direto são, em geral, significativos no modelo, porém explicam apenas cerca de 15% da volatilidade dos retornos dos fundos da amostra. À luz da Moderna Teoria do Portfólio, esses resultados indicam que a inclusão de fundos imobiliários pode ter potencial diversificador numa carteira multi-ativo, seja aumentando o retorno total de uma carteira formada de ações e títulos de renda fixa, sem acréscimo em risco; ou mantendo o retorno dessa carteira, com diminuição da volatilidade, ampliando assim a fronteira eficiente da carteira. Esse efeito questiona o tradicional equilibrium fund de carteiras de investimentos formadas apenas de ações e renda fixa e aponta os fundos imobiliários como uma alternativa de investimento diversificadora, enquanto classe de ativo única. A análise de subamostras por tipologia indica, porém, que o papel diversificador dos fundos imobiliários está atrelado ao tipo de empreendimento que lastreia esse fundo, uma vez que os fatores explicativos e seus impactos nos retornos diferem de uma tipologia para outra. Esse resultado tem importantes implicações no critério de seleção a ser adotado tanto por investidores para seleção de ativos para uma carteira otimizada, como para gestores de fundos imobiliários na formatação e gestão desses produtos. Conclui-se também que os retornos dos fundos, de certo modo, refletem seu caráter híbrido, mas o modelo decomposto em 4 componentes não é suficiente para explicar os retornos dos fundos imobiliários, uma vez que o modelo estendido, demonstrou que outras variáveis, inclusive parâmetros desses próprios mercados, além de variáveis macroeconômicas e as características de cada fundo (eg. market-to-book, tamanho), podem ser responsáveis por explicar considerável parte da variância dos retornos dos FIIs.
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The problematic of dividends paid out by firms has deserved the attention of several studies, theoretical and empirical, on corporate finance. This article intends to contribute to the theme by determining the factors that influence a firm’s dividends` policy. In this sense, it investigates the effect of a set of factors on the dividends paid out by issuing non financial firms belonging to Euronext Lisbon. Results suggest the existence of firm specific characteristics influencing its dividends policy. A firm’s Cash-flow and its stocks` market price seem to have a positive impact on the dividends paid out to stockholders. In issuing non financial firms that belong to the PSI 20 Index results additionally show the existence of a negative effect of net profits on dividend’s payment.
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The main objective of this paper is to analyse the effect of firms’ performance indicators in explaining the price of stocks in the Portuguese capital market, using a fundamental analysis. In the empirical setting, firms’ performance indicators are gathered into two groups: (1) economic and financial indicators and (2) stock market indicators. Using a sample of 38 firms quoted at Euronext Lisbon, estimates are obtained trough an Ordinary Least Squares (OLS) model and report to December, 31 2007. Results suggest that performance indicators are able to explain the firms’ stock market price. There is a significant positive impact of sales growth and of payout ratio, while we find a statistically significant negative effect of the firm’s financial autonomy on the stock market price for the majority of firms quoted at Euronext Lisbon.
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The selection of an Enterprise Resource Planning (ERP) system is one of the most sensitive and highest impact processes in the area of information systems and technologies, because it supports and integrates the whole business of an organization. Hence the importance of deciding the best solution in order to contribute to the organization's competitiveness in a global and increasingly demanding market. Therefore, it is essential to provide tools to support decision making, turning complex and often intangible decisions into simple and quantifiable scenarios. This study addressed the adoption of the Analytical Hierarchy Process (AHP) multicriteria decision method to support the selection of an ERP system. The literature review was the source used to obtain the set of the most relevant criteria to be considered in this decision, which were subsequently validated through systematic application of various surveys of experts and people related to the field of ERP systems. To support the application of AHP, according to the model obtained in the study, it was developed a web application that will be available to the general public. The responsible for the acquisition of ERP systems can use it to easily apply the AHP method based on validated decision model. On the other hand, the web application can be used as a validation tool, allowing collecting data for future developments of the decision model.
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This study examines the relationship between the environmental performance and the financial performance of Portuguese corporations, based on a sample of 35 stocks listed in the Euronext Lisbon stock exchange, for the period from 2000 to 2004. Corporate environmental performance is measured by an analysis of the environmental information disclosed in 2003 corporate annual financial reports. Stock market-based measures, such as return, risk and risk-adjusted return measures, are used to evaluate corporate financial performance, for the 5 years observation period. We use the portfolio studies and contingency tables methodology to evaluate the relationship between corporate environmental disclosures and corporate stock market performance. The empirical results suggest that companies that do not disclose environmental information have a superior financial performance – as measured by return, risk and risk-adjusted return – than those that disclose environmental information. In particular, companies with better environmental reporting, which disclose qualitative and quantitative environmental information, are the ones with worse financial performance. Nevertheless the differences found in financial performance are not statistically significant. The empirical results are thus adverse to the more recent view of environmental performance as a competitive advantage, maybe due to the still relatively small importance of environmental issues to companies and investors.
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Dissertação apresentada ao Instituto Superior de Contabilidade e Administração do Porto para obtenção do Grau de Mestre em Auditoria Orientada por Mestre Carlos Manuel Antunes Mendes
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Long-term contractual decisions are the basis of an efficient risk management. However those types of decisions have to be supported with a robust price forecast methodology. This paper reports a different approach for long-term price forecast which tries to give answers to that need. Making use of regression models, the proposed methodology has as main objective to find the maximum and a minimum Market Clearing Price (MCP) for a specific programming period, and with a desired confidence level α. Due to the problem complexity, the meta-heuristic Particle Swarm Optimization (PSO) was used to find the best regression parameters and the results compared with the obtained by using a Genetic Algorithm (GA). To validate these models, results from realistic data are presented and discussed in detail.
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Currently, Power Systems (PS) already accommodate a substantial penetration of DG and operate in competitive environments. In the future PS will have to deal with largescale integration of DG and other distributed energy resources (DER), such as storage means, and provide to market agents the means to ensure a flexible and secure operation. This cannot be done with the traditional PS operation. SCADA (Supervisory Control and Data Acquisition) is a vital infrastructure for PS. Current SCADA adaptation to accommodate the new needs of future PS does not allow to address all the requirements. In this paper we present a new conceptual design of an intelligent SCADA, with a more decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). Once a situation is characterized, data and control options available to each entity are re-defined according to this context, taking into account operation normative and a priori established contracts. The paper includes a case-study of using future SCADA features to use DER to deal with incident situations, preventing blackouts.
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Power Systems (PS), have been affected by substantial penetration of Distributed Generation (DG) and the operation in competitive environments. The future PS will have to deal with large-scale integration of DG and other distributed energy resources (DER), such as storage means, and provide to market agents the means to ensure a flexible and secure operation. Virtual power players (VPP) can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. This paper proposes an artificial neural network (ANN) based methodology to support VPP resource schedule. The trained network is able to achieve good schedule results requiring modest computational means. A real data test case is presented.
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Aims: This paper aims to address some of the main possible applications of actual Nuclear Medicine Imaging techniques and methodologies in the specific context of Sports Medicine, namely in two critical systems: musculoskeletal and cardiovascular. Discussion: At the musculoskeletal level, bone scintigraphy techniques proved to be a mean of diagnosis of functional orientation and high sensibility compared with other morphological imaging techniques in the detection and temporal evaluation of pathological situations, for instance allowing the acquisition of information of great relevance in athletes with stress fractures. On the other hand, infection/inflammation studies might be of an important added value to characterize specific situations, early diagnose of potential critical issues – so giving opportunity to precise, complete and fast solutions – while allowing the evaluation and eventual optimization of training programs. At cardiovascular system level, Nuclear Medicine had proved to be crucial in differential diagnosis between cardiac hypertrophy secondary to physical activity (the so called "athlete's heart") and hypertrophic cardiomyopathy, in the diagnosis and prognosis of changes in cardiac function in athletes, as well as in direct - and non-invasive - in vivo visualization of sympathetic cardiac innervation, something that seems to take more and more importance nowadays, namely in order to try to avoid sudden death episodes at intense physical effort. Also the clinical application of Positron Emission Tomography (PET) has becoming more and more widely recognized as promising. Conclusions: It has been concluded that Nuclear Medicine can become an important application in Sports Medicine. Its well established capabilities to early detection of processes involving functional properties allied to its high sensibility and the actual technical possibilities (namely those related with hybrid imaging, that allows to add information provided by high resolution morphological imaging techniques, such as CT and/or MRI) make it a powerful diagnostic tool, claiming to be used on an each day higher range of clinical applications related with all levels of sport activities. Since the improvements at equipment characteristics and detection levels allows the use of smaller and smaller doses, so minimizing radiation exposure it is believed by the authors that the increase of the use of NM tools in the Sports Medicine area should be considered.
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Dissertação de Mestrado em Ciências Económicas e Empresariais.
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Mestrado em Contabilidade Internacional