999 resultados para Qualidade de Produtos para o Consumidor


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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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This study aims to elucidate the marketing experience and to show the fundamental role that strategic communication plays as a tool for approaching the target audience and for consolidating a brand. The necessity for differentiation and innovation increases with market competition, standardization of products and services and with a customer more demanding and careful, leading the sensorial experiences to a trend of communication capable of bringing closer the relation between consumer and brand. From a bibliography research, marketing concepts, public relations and marketing experience are studied, presenting national and international cases of success in the retail industry. The study focuses on the comprehension of actions that leads to experiences in the market environment

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Aiming at developing a tool for assessing the magnitude of farm animal health, an indicator named herd “animal health status” was built. To illustrate the construction of the indicator, serum samples were taken from 923 goats on 17 goat farms in the state of Sao Paulo, Brazil, where three diseases were evaluated along with their impact percentages: caprine arthritis encephalitis, toxoplasmosis and neosporose – all of an infectious and transmissible nature and the cause of considerable economic losses. The mathematical rationale underlying the building of the “animal health status” indicator ranks properties on a 0 - 100% scale in terms of disease positivity in the herd, with the lowest indicator value indicating the highest cumulative disease frequency (0% = all animals tested positive for the three diseases, 100% = all animals tested negative for all diseases). Anti-T. gondii, anti-N. caninum and anti-CAEV antibodies were tested using indirect immunofluorescence reaction (IIFR ≥ 16), Neospora agglutination test (NAT ≥ 25) and agarose gel immunodiffusion (AGID positive or negative), respectively. The animal health status of the farms ranged from 32.38% to 96.40% according to disease positivity. The animal health status value will have a direct reflection on the production chain both on and off the farm, providing not only great market advantages, due to how the expression of animal health will add value to livestock farms, as well as on the consumer who can check the quality of animal health at the beginning of the production chain.

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Pós-graduação em Microbiologia Agropecuária - FCAV

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)