9 resultados para Creating Value
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This paper was presented at the 11th Annual Conference of the European Society for the History of Economic Thought (ESHET).
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This paper was presented at the Seminars of the Department of Foundations of Economic Analysis I, University of the Basque Country in September 2004.
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131 p.: graf.
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[ES] España, al igual que Italia, líder tradicional del sector de granito, ha visto como China, India o Brasil, han escalado posiciones en el ranking de producción y exportación mundial de granito. En un contexto globalizado, es necesario posicionarse frente a estos competidores en los mercados internacionales, y dado que estamos ante un producto genérico que cumple unas condiciones adecuadas de precio y calidad, una forma de identificarlo y diferenciarlo es aportándole valor mediante la creación de una marca. En el trabajo se analiza la utilidad de una estrategia basada en el made in para el caso de Galicia, núcleo fundamental de la industria en España, alternativa que resulta interesante para las empresas consultadas pero cuya puesta en práctica exige la colaboración entre éstas y las instituciones.
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[EN] In the last decades, the topic of business ethics has attracted great interest at the academic and professional levels. Nowadays business ethics is being increasingly implemented as a necessary discipline in universities’ study plans on business management. Moreover, its importance is also evident according to the worldwide increase of organizations and/or institutions that have implemented ethics systems. However, some approaches thoroughly do not consider the importance and the need of an ethical behaviour and are still guiding the actions and the way of thinking of many academics and professionals led to consider that the only responsibility of business is limited just to profit maximization.
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Singular Value Decomposition (SVD) is a key linear algebraic operation in many scientific and engineering applications. In particular, many computational intelligence systems rely on machine learning methods involving high dimensionality datasets that have to be fast processed for real-time adaptability. In this paper we describe a practical FPGA (Field Programmable Gate Array) implementation of a SVD processor for accelerating the solution of large LSE problems. The design approach has been comprehensive, from the algorithmic refinement to the numerical analysis to the customization for an efficient hardware realization. The processing scheme rests on an adaptive vector rotation evaluator for error regularization that enhances convergence speed with no penalty on the solution accuracy. The proposed architecture, which follows a data transfer scheme, is scalable and based on the interconnection of simple rotations units, which allows for a trade-off between occupied area and processing acceleration in the final implementation. This permits the SVD processor to be implemented both on low-cost and highend FPGAs, according to the final application requirements.
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Revista OJS
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4 p.
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25 p.