Customer perceptions and sustained usage of recommender systems
by Anyuan Shen, A. Dwayne Ball
International Journal of Electronic Business (IJEB), Vol. 7, No. 6, 2009

Abstract: Service firms (e.g., Amazon, Netflix) testify that recommender systems earn repeat purchases, reduce customer churn, and sharpen competitive edges. However, little is known about why customers will keep using a company's recommender system. We conceptualise that customer perceptions of accuracy, benevolence and process value may affect sustained usage. We also explored the roles of preference stability and privacy concerns. We surveyed customers who had used recommender systems. Surprisingly, perceptions of benevolence and process value, rather than accuracy, drive sustained usage behaviour. Results fail to support the effects of preference stability or privacy concerns. Implications for research and businesses are discussed.

Online publication date: Thu, 29-Oct-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 Electronic Business (IJEB):
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