Optimising adoption of a single product in multi-segmented market using innovation diffusion model with consumer balking
by P.K. Kapur, Anu G. Aggarwal, Gurjeet Kaur, Mashaallh Basirzadeh
International Journal of Technology Marketing (IJTMKT), Vol. 5, No. 3, 2010

Abstract: Survival in the market calls for delighting the consumers with quality product. However, due to reasons such as changing consumer preference, negative word of mouth, and better competitive strategy the potential buyer's perception and expectation towards a product before its actual adoption may be changed (known as balking). In this paper, we have incorporated this balking concept in our proposed innovation diffusion modelling. Another major factor incorporated in the model is the effect of repeat purchasers. Further in the paper, we have formulated an optimal promotional effort allocation problem for the multi segmented market which involves decisions regarding the distribution of promotional effort among different segments of the market so that the adoption of the product gets maximised. The nonlinear complex problem incorporates the effect of balking as well as repeat purchasing and is solved using genetic algorithm. Numerical example is presented for illustrating the formulation and its solution.

Online publication date: Fri, 11-Mar-2011

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 Technology Marketing (IJTMKT):
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