ARTIFICIAL NEURAL NETWORKS - A NEW METHODOLOGY FOR INDUSTRIAL MARKET-SEGMENTATION

Citation
Ke. Fish et al., ARTIFICIAL NEURAL NETWORKS - A NEW METHODOLOGY FOR INDUSTRIAL MARKET-SEGMENTATION, Industrial marketing management, 24(5), 1995, pp. 431-438
Citations number
25
Categorie Soggetti
Management,Business
ISSN journal
00198501
Volume
24
Issue
5
Year of publication
1995
Pages
431 - 438
Database
ISI
SICI code
0019-8501(1995)24:5<431:ANN-AN>2.0.ZU;2-7
Abstract
Neural networks are a type of artificial intelligence computing that h ave generated considerable interest across many disciplines during the past few years. The authors explore the potential of artificial neura l networks in assisting industrial marketers faced with a segmentation problem by comparing their classification ability with discriminant a nalysis and logistic regression. The neural networks achieve higher hi t ratios on holdout samples than the other methodologies. A marketer i n a business-to-business situation may be able to segment a market mor e accurately, thereby improving efficiency for sales forces and other promotional activities, by using artificial neural networks.