73,165 research outputs found

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    The R&D Tax Incentives

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    This article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives

    Using strategic ambiguity as management practice in academic R&D : An ethnographic study of MIT SENSEable City Lab

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    This article explores the role of strategic ambiguity (Eisenberg, 2007; March & Olsen, 1976) as a management practice, as used in SENSEable City Lab - a R&D-oriented lab located at the Massachusetts Institute of Technology in Cambridge, MA. Although literature has already explored strategic ambiguity in various organizational settings, studies focusing on how academic institutions use strategic ambiguity in the context of R&D are quite sparse. The article aims at filling this gap by reporting on a study conducted by the author across 2011 and 2014 in a R&D-oriented academic lab and reflecting on the potential of strategic ambiguity as an effective dialogic strategy to appreciate differences among internal organization members and with external partners. The article also examines some shortcomings of strategic ambiguity, such as the level of anxiety reported by some members of the lab

    Preemptive Search and R&D Clustering Revisited

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    The results obtained by Cardon and Sasaki (1998) on R&D clustering are derived under the specific assumption that firms only can own one patent. When multiple patents are allowed, R&D clustering will come about more frequently if search costs are substantial.R&D clustering; persistence of monopoly

    PRODUCER VALUATION OF HERD BULL CHARACTERISTICS

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    This study evaluates the importance of certain bull characteristics (disposition, EPD's, conformation, etc.) on a cow-calf producer's herd bull purchase decision. Data were collected from the Auburn University Bull Test Sale from 1997 to 2004. A total of 260 buyers purchased a total of 370 bulls during this six-year period. These buyers will be surveyed to determine demographics, farm characteristics, and the importance of factors influencing their bull purchase decision. A hedonic pricing model will be utilized to determine the value that individual buyers place on various factors or bull characteristics when purchasing a bull.Livestock Production/Industries,

    INTERNACIONALIZAÇÃO E ESTRATÉGIAS DE MARKETING INTERNACIONAL DA RED BULL

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    TCC (graduação) - Universidade Federal de Santa Catarina. Centro Sócio-Econômico. Relações Internacionais.No ambiente competitivo do setor de bebidas energéticas, as estratégias utilizadas pelas empresas podem se refletir no desejo pelo crescimento. Baseado nisto, a identificação de estratégias de crescimento torna-se uma ferramenta importante para a análise de estratégias e a formulação de objetivos. O principal objetivo deste trabalho é a identificação e análise da internacionalização e das estratégias de marketing internacional da Red Bull, utilizadas como métodos para se alcançar o crescimento da empresa. Esta analise foi realizada através da busca e coleta de informações em bancos de dados da empresa, publicações acadêmicas e demais fontes secundárias de pesquisa. Foi verificado que a Red Bull se utiliza basicamente da exportação como forma de inserção em mercados estrangeiros. Isto se deve ao fato de que, para garantir a qualidade de seu produto, toda a produção de bebida energética da empresa se concentra na Áustria, seu país sede. Sua expansão internacional iniciou-se através da distribuição do produto nos países europeus vizinhos devido a sua proximidade geográfica e similaridade cultural. Após um grande sucesso e aceitação popular, a empresa passa a exportar para mercados mais distantes, através da abertura de escritórios próprios encarregados das vendas e todo o processo de distribuição. Hoje, a marca está presente em 166 países e é líder mundial no setor de bebidas energéticas. Por fim, constatou-se que boa parte do sucesso atingido pela empresa em todo o mundo é devido ao intenso e poderoso investimento em marketing. A imagem da marca é permanentemente vinculada a eventos de grande porte, aos melhores atletas e equipes de diversos esportes e a programas midiáticos produzidos pela empresa, o que gera uma grande propagação e notoriedade à marca. Assim, a Red Bull se expande pelos mercados estrangeiros, utilizando-se de poderosas estratégias de internacionalização e marketing e mantendo a liderança no setor de bebidas energéticas

    Extracting bull and bear markets from stock returns

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    Traditional methods used to partition the market index into bull and bear regimes often sort returns ex post based on a deterministic rule. We model the entire return distribution; two states govern the bull regime and two govern the bear regime, allowing for rich and heterogeneous intra-regime dynamics. Our model can capture bear market rallies and bull market corrections. A Bayesian estimation approach accounts for parameter and regime uncertainty and provides probability statements regarding future regimes and returns. Applied to 123 years of data our model provides superior identification of trends in stock prices.Markov switching, bear market rallies, bull market corrections, Gibbs sampling
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