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Cited by 1,313

The DOI matches its OpenAlex record; 18 of the 18 references it cites were found in a registry or an index.

New Products: What Separates Winners from Losers?

Robert G. Cooper, E. J. Kleinschmidt·1987·Journal of Product Innovation Management

Abstract

There is no issue more fundamental to new products managers than understanding the factors that separate success from failure. In this article, Robert Cooper and Elko Kleinschmidt present a series of ten hypotheses which they test using data obtained from their study of 203 new products. Significantly, these products include both commercial successes and failures, since previous studies have concentrated on either one or the other. The authors conclude that product superiority is the number one factor influencing commercial success and that project definition and early, predevelopment activities are the most critical steps in the new products development process. Success, they argue, is earned. It is not the ad hoc result of situational or environmental influences. Synergy, both marketing and technical, is crucial.

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OpenAlex · 10.1016/0737-6782(87)90002-6

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Metadata

Authors
Cooper, R. G., & Kleinschmidt, E. J.
Venue
Journal of Product Innovation Management
Publisher
Wiley
Published
1987-09-01
Volume
4
Issue
3
Pages
169-184
ISSN
0737-6782 (ISSN-L)
OpenAlex
W2045148212
Cited by
1,313
References
18
FWCI
14.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: New Products: What Separates Winners from Losers? https://app.cochat.ai/papers/10.1016/0737-6782(87)90002-6
The paper
Cooper, R. G., & Kleinschmidt, E. J. (1987). New Products: What Separates Winners from Losers? Journal of Product Innovation Management. https://doi.org/10.1016/0737-6782(87)90002-6

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.