A closed model for measuring intangible assets: a new dimension of profitability applying neural networks

Authors:
Ana Maria Lara Palma;Lourdes Sáiz Bárcena;Joaquín Pacheco
Affiliations:
Department of Civil Engineering;Department of Civil Engineering;Department of Applied Economy, University of Burgos, Spain
Venue:
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Year:
2006

Citing 1
Cited 1

Learning internal representations by error propagation

Parallel distributed processing: explorations in the microstructure of cognition, vol. 1

Optimization of Knowledge in Companies Simulating M6PROK© Model Using as Hybrid Methodology a Neuronal Network and a Memetic Algorithm

HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems

Quantified Score

Hi-index	0.00

Visualization

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.