Intelligent consumer purchase intention prediction system for green products

Khosla, Rajiv, D`Souza, Clare D. and Taghian, Mehdi 2005, Intelligent consumer purchase intention prediction system for green products, in KES 2005 : Knowledge-Based Intelligent Information and Engineering Systems : 9th International Conference, Melbourne, Australia, September 14-16, 2005 : proceedings, Springer Berlin, Heidelburg, Germany, pp. 752-757.

Attached Files
Name Description MIMEType Size Downloads

Title Intelligent consumer purchase intention prediction system for green products
Author(s) Khosla, Rajiv
D`Souza, Clare D.
Taghian, Mehdi
Conference name International Conference on Knowledge-Based Intelligent Information and Engineering Systems (9th : 2005 : Melbourne, Vic.)
Conference location Melbourne, Victoria
Conference dates 14-16 September 2005
Title of proceedings KES 2005 : Knowledge-Based Intelligent Information and Engineering Systems : 9th International Conference, Melbourne, Australia, September 14-16, 2005 : proceedings
Editor(s) Khosla, Rajiv
Howlett, Robert J.
Jain, Lakhmi C.
Publication date 2005
Series Lecture notes in computer science ; 3684.
Conference series Knowledge-Based Intelligent Information and Engineering Systems Conference
Start page 752
End page 757
Total pages 6 p.
Publisher Springer Berlin
Place of publication Heidelburg, Germany
Summary 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.
ISBN 354028897X
9783540288978
ISSN 0302-9743
1611-3349
Language eng
Field of Research 150599 Marketing not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2005, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30009679

Document type: Conference Paper
Collections: Deakin Graduate School of Business
Higher Education Research Group
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 492 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Tue, 14 Oct 2008, 07:00:59 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.