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A Closed Model for Measuring Intangible Assets: A New Dimension of Profitability Applying Neural Networks

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4224))

Abstract

The definition of a model should contain something more than purely conceptual development. Its discriminatory characteristics should harbour, in practice, the intention to uncover unknown opportunities in times of globalization. Quantification of the intangible value of the service sector must become another management strategy; thereby consolidating the wealth of each company and gearing up -just like in a mechanism- the variables that can predict the value of these environments which are abound in opportunities, something that has been hardly considered until lately. The rest of this paper deals with the development of M6PROK (Model of the Six Profitability Stages of Knowledge) using an artificial neural architecture. M6PROK is a mirror in which companies can look at themselves and whose reflection should provide a basis for the solution of issues concerning the profitability that knowledge brings about and the awareness of this, as well as supporting decision-making processes to consolidate business strategies.

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© 2006 Springer-Verlag Berlin Heidelberg

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Palma, A.M.L., Bárcena, L.S., Pacheco, J. (2006). A Closed Model for Measuring Intangible Assets: A New Dimension of Profitability Applying Neural Networks. In: Corchado, E., Yin, H., Botti, V., Fyfe, C. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2006. IDEAL 2006. Lecture Notes in Computer Science, vol 4224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875581_98

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  • DOI: https://doi.org/10.1007/11875581_98

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45485-4

  • Online ISBN: 978-3-540-45487-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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