Product Preannouncement in New Markets: A Strategic Analysis
Herbert Dawid and
Yongchuan Bao
No 202, Computing in Economics and Finance 2004 from Society for Computational Economics
Abstract:
We deal with new product preannouncements in markets where customer preferences are unknown and highly unstable, as would be the case with disruptive product innovations. Our analysis is focused on the tradeoff between the firms incentive to influence consumer preferences via preannouncements and the risk of repositioning costs for preannouncing firms in such new markets. The framework of a three stage duopoly game is employed to address these issues. The stages are pre-announcement (yes-no and position), product positioning and price competition. Consumer preferences are ex-ante unknown, can be influenced by pre-announcement and are observable prior to product positioning. The profit of a firm is influenced by three main factos: i) the attractiveness of its product (depending on the distance of the product position from the "sweet spot" of the market and the competitor), ii) the repositioning costs occuring if the final product differs from the pre-announced one, iii) costs of technologcial re-orientation arising if the product position is far from the firm"s prior technological expertise. We rely on a numerical analysis of the model to characterize under which circumstances equilibria with symmetric, asymmetric or no preannouncements arise and to highlight some interesting properties of the optimal strategies concerning pre-annoucement positions and final positions.
Keywords: Innovation; Pre-announcement; numerical analysis (search for similar items in EconPapers)
JEL-codes: C72 O32 (search for similar items in EconPapers)
Date: 2004-08-11
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf4:202
Access Statistics for this paper
More papers in Computing in Economics and Finance 2004 from Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().