Pricing analysis of decision-making software: modelling and Artificial Intelligence approaches
by Dinesh S. Dave, Ajay K. Aggarwal, Chandrashekar D. Challa
International Journal of Computer Applications in Technology (IJCAT), Vol. 26, No. 4, 2006

Abstract: Despite the lucrative worldwide software market, little pricing guidance is available in the literature to assist the software marketers. This paper attempts to create models for pricing software using both statistical and Artificial Intelligence (AI) techniques. All approaches utilise the OR/MS Today's 2004 Decision Analysis Software Survey data. The paper concludes that the models produced using AI techniques, with 41 attributes each, show the most promise. The model-building approaches developed can be applied in analysing the software prices world-wide. Software designers and software purchasing managers will be able to evaluate the pricing decisions based upon the significant factors identified.

Online publication date: Wed, 30-Aug-2006

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 Computer Applications in Technology (IJCAT):
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