Deakin University
Browse

File(s) under permanent embargo

Intelligent consumer purchase intention prediction system for green products

conference contribution
posted on 2005-01-01, 00:00 authored by R 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.)

Series

Lecture notes in computer science ; 3684.

Pagination

752 - 757

Publisher

Springer Berlin

Location

Melbourne, Victoria

Place of publication

Heidelburg, Germany

Start date

2005-09-14

End date

2005-09-16

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783540288978

ISBN-10

354028897X

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2005, Springer-Verlag Berlin Heidelberg

Editor/Contributor(s)

R Khosla, R Howlett, L Jain

Title of proceedings

KES 2005 : Knowledge-Based Intelligent Information and Engineering Systems : 9th International Conference, Melbourne, Australia, September 14-16, 2005 : proceedings

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC