Determinants of relationship quality: an artificial neural network analysis

Article Abstract:

A review of literature on the relationship quality involved in relationship marketing shows that critical factors in relationship quality are seller's expertise, seller's ethical orientation and relationship duration. An analysis of a survey of financial services consumers shows that artificial neural network analysis is more predictive of the determinants of relationship quality than more traditional analytic tools such as multiple regression.

Financial Services, Finance and Insurance, Financial services industry, Marketing, Marketing research, Market research

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Probabilistic neural networks in bankruptcy prediction

Article Abstract:

Linear discrimination analysis was compared with several neural network techniques to investigate their effectiveness in providing reliable and accurate bankruptcy predictions among companies in the oil and gas industry. Results showed that probabilistic neural networks without pattern normalization and Fisher discriminant analysis produced good estimation results. However, discriminant analysis produced the best results for bankrupt firms.

Gas Utilities, Natural Gas Distribution, PETROLEUM AND COAL PRODUCTS, Petroleum, Petroleum and Coal Products Manufacturing, Gas Production and Distribution, Failures, Forecasts and trends, Petroleum industry, Gas industry, Discriminant analysis, Bankruptcy

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Using an artificial neural network trained with a genetic algorithm to model brand share

Article Abstract:

A new architectural approach to artificial neural network (ANN) choice modeling is given in order to modify the standard ANN designs. The related studies indicate that a streamlined feed forward ANN trained with a genetic algorithm can provide managers with superior estimates of brand share.

Brand choice, Neural network

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