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Premarket Forecasting of Really-New Products

Open access
Glen L. Urban, Bruce D. Weinberg, John R. Hauser·1996·Journal of Marketing

Abstract

The authors illustrate how a firm can face the challenge of forecasting consumer reaction for a really-new product. For the case of an electric vehicle, the authors describe how one firm combines managerial judgment and state-of-the-art market measurement to determine whether (1) the really-new product would be a viable business venture at its target launch date, (2) the firm should plan for improvements in technology that would reduce price and/or increase benefits enough so that the business venture would be profitable, or (3) the firm should stop development. The new market measurement system combines existing methods with a multimedia virtual-buying environment that conditions respondents for future situations, simulates user experience, and encourages consumers to actively search for information on the product. The authors comment on the advantages and disadvantages of the methodology and summarize the lessons they have learned from this application.

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Metadata

Authors
Urban, G. L., Weinberg, B. D., & Hauser, J. R.
Venue
Journal of Marketing
Publisher
SAGE Publishing
Published
1996-01-01
Volume
60
Issue
1
Pages
47-47
ISSN
0022-2429 (ISSN-L)
OpenAlex
W2946393069
Cited by
184
References
0
FWCI
9.68
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Premarket Forecasting of Really-New Products. https://app.cochat.ai/papers/10.2307/1251887
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Urban, G. L., Weinberg, B. D., & Hauser, J. R. (1996). Premarket Forecasting of Really-New Products. Journal of Marketing. https://doi.org/10.2307/1251887

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.