Preparation of rankings through the use of structured techniques: an application in the sector of private insurance / Elaboração de rankings por meio do uso de técnicas estruturadas: uma aplicação no setor de seguros privados

AUTOR(ES)
DATA DE PUBLICAÇÃO

2008

RESUMO

The demand for methodologies and procedures to classify companies that have some characteristics in common and that are part of the same activity sector has instigated researchers to evaluate alternatives that represent the real situation according to their performance as business units, by making use of reduced amount of subjectivity in the performance judgment. Therefore, this research has as its main goal the objective to set up some rankings using the techniques of analysis and data envelopment by artificial neural networks, by making applying these techniques in the insurance sector, a activity with great influence in national economy. As data for the implementation of both techniques proposed, some indicators well known by specialists were considered to evaluate the performance of companies in their activities. As a result, it was found that the direct weighting used to enforce the importance of each indicator is not the only way to make a fair ranking of the insurance companies. About the techniques used, it was observed that companies that have maintained a satisfactory performance in most of the variables considered occupied best positions in the rankings. The neural network, even though requiring a longer processing time, and offering a greater complexity of application than DEA technique, showed some more consistent results.

ASSUNTO(S)

neural net works rankings data envoltory analysis redes neurais artificiais análise por envoltória de dados seguros privados insurance rankings

ACESSO AO ARTIGO

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