987 resultados para Herstory vs His-story
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n.s. no.44(1988)
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n.s. no.32(1987)
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n.s. no.51(1988)
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n.s. no.48(1988)
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n.s. no.52(1988)
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v.32:no.8(1951)
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no.25(1940)
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El objetivo principal de la investigación es, por una parte, contribuir al debate científico en curso en cuanto a los dos enfoques: enfoque estructural y enfoque de los recursos y capacidades, y, por tanto, sobre la fuente de la ventaja competitiva sostenible. Por otra, aportar evidencia empírica al respecto que pueda ser útil a las empresas para la formulación de su estrategia. La investigación trata, pues, de averiguar los factores clave de éxito y, por tanto, las fuentes de la ventaja competitiva. Los resultados que se presentan en este trabajo forman parte de una investigación más amplia sobre el tema de los factores condicionantes de la ventaja competitiva y de los resultados económicos de las agencias de viajes que se ha realizado en este Departamento de la UAB.
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Shrimps are produced in two different ways. They are fished in the sea (sometimes at the cost of turtle destruction) or they are "farmed" in ponds in coastal areas. Such aquaculture is increasing around the world as shrimps become a valuable item of world trade. Mangrove forests are sacrificed for commercial shrimp farming. This paper considers the conflict between mangrove conservation and shrimp exports in different countries.Who has title to the mangroves, who wins and who loses in this tragedy of enclosures? Which languages of valuation are used by different actors in order to compare the increase in shrimp exports and the losses in livelihoods and in environmental services? The economic valuation of damages is only one of the possible languages of valuation which are relevant in practice. Who has the power to impose a particular language of valuation?
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Inductive learning aims at finding general rules that hold true in a database. Targeted learning seeks rules for the predictions of the value of a variable based on the values of others, as in the case of linear or non-parametric regression analysis. Non-targeted learning finds regularities without a specific prediction goal. We model the product of non-targeted learning as rules that state that a certain phenomenon never happens, or that certain conditions necessitate another. For all types of rules, there is a trade-off between the rule's accuracy and its simplicity. Thus rule selection can be viewed as a choice problem, among pairs of degree of accuracy and degree of complexity. However, one cannot in general tell what is the feasible set in the accuracy-complexity space. Formally, we show that finding out whether a point belongs to this set is computationally hard. In particular, in the context of linear regression, finding a small set of variables that obtain a certain value of R2 is computationally hard. Computational complexity may explain why a person is not always aware of rules that, if asked, she would find valid. This, in turn, may explain why one can change other people's minds (opinions, beliefs) without providing new information.