Willingness to purchase Genetically Modified food: an analysis applying artificial Neural Networks
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Findings about consumer decision-making process regarding GM food purchase remain
mixed and are inconclusive. This paper offers a model which classifies willingness to
purchase GM food, using data from 399 surveys in Southern Spain. Willingness to purchase
has been measured using three dichotomous questions and classification, based on attitudinal,
cognitive and socio-demographic factors, has been made by an artificial neural network
model. The results show 74% accuracy to forecast the willingness to purchase. The highest
relative contributions lie in the variables related to beliefs, especially those link to perceived
risks; while the variables with the least relative contribution are age and knowledge on GMO.