Neural networks in marketing: modelling consumer responses to advertising stimuli

Curry, B. and Moutinho, L. (1993) Neural networks in marketing: modelling consumer responses to advertising stimuli. European Journal of Marketing, 27(7), pp. 5-20. (doi:10.1108/03090569310040325)

Full text not currently available from Enlighten.


Examines the theoretical base of the neural network technique showing, for example, that it is linked in formal and practical terms with expert systems and that it uses a statistical approach. After beginning with a discussion of models of information processing by consumers, proceeds to outline the main features of the neural network approach including the important question of practical implementation. Then suggests a model to show how the neural network approach can be employed to shed light on the way in which consumers respond to stimuli contained in advertising messages, with particular emphasis on the stimuli which are implicit or embedded in these messages rather than being overtly measurable. Subjects the model and the neural network approach to critical evaluation, and suggests guidelines for further implementation.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Moutinho, Professor Luiz
Authors: Curry, B., and Moutinho, L.
College/School:College of Social Sciences > Adam Smith Business School > Management
Journal Name:European Journal of Marketing
Publisher:Emerald Group Publishing Limited

University Staff: Request a correction | Enlighten Editors: Update this record