Predicting numbers of successful new products to launch using soft computing techniques : a case of firms from manufacturing sector industries

Bhatnagar, V, Majhi, R and Sahadev, S 2017, 'Predicting numbers of successful new products to launch using soft computing techniques : a case of firms from manufacturing sector industries' , Journal of King Saud University - Computer and Information Sciences .

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Abstract

Predicting numbers of new products to be launched by the firms in a particular time period is considered as the most mystified and strategically important decision. Importance of this aspect could be realized by looking at the low success rate of new products in the market. Identifying numbers of new products potentially accepted by the market may reduce the investment and scant resources consumption by firms. In this study, statistical multiple linear regression, and artificial neural network techniques modeled as simple and cascaded networks combined with nature inspired algorithm have been implemented. Artificial neural network has shown significant performance results and further cascading helps in enhancing the prediction accuracy along with better convergence capability of the developed models for the predicament.

Item Type: Article
Schools: Schools > Salford Business School
Journal or Publication Title: Journal of King Saud University - Computer and Information Sciences
Publisher: Elsevier
ISSN: 1319-1578
Related URLs:
Depositing User: A Johnson
Date Deposited: 25 Oct 2017 12:55
Last Modified: 25 Oct 2017 13:05
URI: http://usir.salford.ac.uk/id/eprint/44158

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