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Published in: Customer Needs and Solutions 1/2014

01-03-2014 | Original Paper

A Diffusion Model for Preannounced Products

Authors: Delphine Manceau, Jehoshua Eliashberg, Vithala R. Rao, Meng Su

Published in: Customer Needs and Solutions | Issue 1/2014

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Abstract

Strategic preannouncement of a new product launch by a firm creates a pent-up demand (or consumers committed to purchase prior to launch) for the new product. The level of the pent-up demand depends, among other factors, on the timing and the reputation of the firm announcing the new product; it is critical in shaping up the diffusion process of the new product after launch. In this paper, we develop a two-phase diffusion model that describes both the impact of the announcement on consumers’ purchase commitments and the diffusion process since launch starting with a strictly positive number of new product orders. We illustrate the empirical performance of the model with an old but classic dataset that captures both advance purchase orders as well as sales after launch for a new audio CD. We discuss how our model can guide a firm’s decision on when to preannounce the introduction of its new product or technology, relative to the time of launch, so as to maximize the total benefit during the planning horizon.

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Appendix
Available only for authorised users
Footnotes
1
Especially when they have already ordered the product and know for sure that they will be delivered before the consumers ordering it later on
 
2
Some diffusion models have reported negative word-of-mouth effect for new products [38, 39]. However, we do not believe this is likely to occur in this first phase of the model since committed consumers have not experienced the product yet. Their opinion is mostly based on the external information they have gathered on the new product, which has led them into committing to purchase it.
 
3
Some may argue that the information spread by word-of-mouth is more trustworthy than the news published in the media. We do not make any such distinction here and consider both sources of communication to have the same level of credibility.
 
4
We assume that the time of launch is known to the consumers for certain. Extensions of the model are possible when T L is stochastic; but these do not add much insight to the process being modeled.
 
5
The proof of X1(t) convexity under condition (7) is available from the authors upon request.
 
6
The proof for this proposition is available from the authors upon request.
 
7
Nevertheless, the fit of our model for pre-launch phase is better than that of the Bass model as we show in the next section.
 
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Metadata
Title
A Diffusion Model for Preannounced Products
Authors
Delphine Manceau
Jehoshua Eliashberg
Vithala R. Rao
Meng Su
Publication date
01-03-2014
Publisher
Springer US
Published in
Customer Needs and Solutions / Issue 1/2014
Print ISSN: 2196-291X
Electronic ISSN: 2196-2928
DOI
https://doi.org/10.1007/s40547-013-0003-7

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