Artificial neural network decision support systems for new product development project selection

被引：60

作者：

Thieme, RJ ^{[1
]}

Song, M

Calantone, RJ

机构：

[1] Syracuse Univ, Syracuse, NY 13244 USA

[2] Univ Washington, Sch Business Adm, Seattle, WA 98195 USA

[3] Michigan State Univ, Eli Broad Grad Sch Management, Dept Mkt & Supply Chain Management, E Lansing, MI 48824 USA

来源：

JOURNAL OF MARKETING RESEARCH | 2000年 / 37卷 / 04期

关键词：

D O I：

10.1509/jmkr.37.4.499.18790

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The authors extend and develop an artificial neural network decision support system and demonstrate how it can guide managers when they make complex new product development decisions. The authors use data from 612 projects to compare this new method with traditional methods for predicting various success outcomes for new product projects.

引用

页码：499 / 507

页数：9

共 24 条

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[Anonymous], MARK LETT

[2] FIRM RESOURCES AND SUSTAINED COMPETITIVE ADVANTAGE [J].