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Keywords:

  • Supermarket shopping;
  • overall satisfaction;
  • neural networks

Abstract

This paper studies UK supermarket shopping behaviour, by analysing the antecedent variables of three critical factors: overall levels of customer satisfaction, number of trips to the supermarket, and amount spent. A neural network approach predicts these factors using ten input variables and three hidden nodes. Results show that the most satisfied and high-spending customers tend to be those who have the income to take full advantage of the choice and quality offered. Other customers are more concerned with prices being reasonable and discounts available, but the satisfaction of these shoppers is also linked with store atmosphere. Copyright © 2001 Henry Stewart Publications.