Intelligent consumer purchase intention prediction system for green products
conference contribution
posted on 2005-01-01, 00:00authored byR Khosla, C D`Souza, Mehdi Taghian
In this paper the authors model green behaviour by predicting consumers’ purchase intention using Kohonen’s LVQ technique. It is envisaged that such a model may facilitate better understanding of green consumers’ market segments. The model employs cognitive, affective, and situational attributes of consumers to predict their purchase intention. The model can, potentially, provide a more direct method for companies to gauge consumers’ intention to purchase green products. The results indicate that consumers are more strongly resistant to lower quality than higher prices of green products in comparison to other alternative non-green products.
History
Event
International Conference on Knowledge-Based Intelligent Information and Engineering Systems (9th : 2005 : Melbourne, Vic.)
KES 2005 : Knowledge-Based Intelligent Information and Engineering Systems : 9th International Conference, Melbourne, Australia, September 14-16, 2005 : proceedings