Lourdes Sáiz Bárcena

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

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.

An Empirical Analysis of the Most Influential Components of an Income Statement

This paper presents an empirical analysis of income statements in 1,000 Spanish companies. Firstly, the relation between the components of an income statement is studied, focusing on the operative profit/loss. Then, the most influential components in the operative profit/loss are identified and their effects measured. Finally, we conclude that they provide business groups with higher predictable profits.