A catastrophe model for developing loyalty strategies: a case study on choice behaviour of pick-up point for online shopping
by Yu-Kai Huang, Cheng-Min Feng
International Journal of Services Operations and Informatics (IJSOI), Vol. 4, No. 2, 2009

Abstract: Convenience stores in Taiwan have had remarkable successes with retailing delivery services by integrating e-commerce and logistics systems to form a new retail delivery model: 'On-line shopping with pick-ups at convenience stores'. Though ingenious, intensified competition and increasingly complex customer behaviour, it has become increasingly difficult for marketing practitioners to maintain customer loyalty. To help solve this problem, this study explores the relationships between the service quality and switching cost on choice behaviour using a catastrophe model. It also applies general multivariate methodology for estimating catastrophe model II to actual market data to demonstrate the model's use in choice behaviour. The present analysis shows that, service quality and switching cost are the two major factors that influence choice behaviour, and that a catastrophe phenomenon can occur with a high switching cost.

Online publication date: Mon, 23-Feb-2009

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 Services Operations and Informatics (IJSOI):
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