An international market segmentation based on combined trade value case study: Iran international furniture market
by Majid Aminnayeri; Samira Malek Mohamadi Golsefid
International Journal of Business Competition and Growth (IJBCG), Vol. 2, No. 4, 2012

Abstract: In this study, the combined value of export for each country in each classified furniture group is calculated based on recency, frequency, monetary, and continuity variables, namely, RFMC model. Two clustering methods, EM and K-means algorithm, are used to segment Iran international furniture market based on combined trade value and monetary variables. The findings indicated that EM algorithm is the most robust approach for segmentation market of combined value in this study. To validate whether the members of the clusters are significantly different based on product groups, a two way ANOVA model is applied. Finally, each market segment is analysed and some marketing policies are suggested.

Online publication date: Sat, 15-Nov-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Competition and Growth (IJBCG):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com