Bhatnagar, V, Majhi, R and Sahadev, S 
ORCID: https://orcid.org/0000-0001-9648-8079
2020,
'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, 32 (2)
, pp. 254-265.
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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: | USIR Admin |
| Date Deposited: | 25 Oct 2017 12:55 |
| Last Modified: | 15 Feb 2022 22:34 |
| URI: | https://usir.salford.ac.uk/id/eprint/44158 |
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