The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Artificial Neural Networks and Discrete Choice Models: Sales Forecast in Supermarket Products
|
|
Author(s): Paulo Botelho Pires (CEOS, Polytechnic of Porto, Portugal)and José Duarte Santos (CEOS, ISCAP, Polytechnic of Porto, Portugal)
Copyright: 2023
Pages: 26
Source title:
Management and Marketing for Improved Retail Competitiveness and Performance
Source Author(s)/Editor(s): José Duarte Santos (Accounting and Business School, Polytechnic of Porto, Portugal), Inês Veiga Pereira (Accounting and Business School, Polytechnic of Porto, Portugal)and Paulo Botelho Pires (Centre for Organizational and Social Studies, Polytechnic of Porto, Portugal)
DOI: 10.4018/978-1-6684-8574-3.ch012
Purchase
|
Abstract
The performance of artificial neural networks was compared with the performance of discrete choice models in predicting the purchase of products with weak involvement. A comprehensive literature review on the main paradigms of artificial neural networks was carried out, namely variants of the back-propagation algorithm, radial basis function, and genetic computing. Within the class of discrete choice models, the authors restricted the comparison to the multinomial logit model and the mixed logit. The performance of the models was measured in a database of grocery purchases in supermarkets. Artificial neural networks outperformed discrete choice models in predicting sales in supermarkets, and both types of models demonstrated strong predictive power. As a result, both can be reliably used in marketing to estimate individual or collective probabilities of supermarket product purchases.
Related Content
|
Sonal Linda.
© 2024.
24 pages.
|
|
Yasmin Yousaf Mossa, Peter Smith, Kathleen Ann Bland.
© 2024.
40 pages.
|
|
Ugochukwu Okwudili Matthew, Jazuli Sanusi Kazaure, Charles Chukwuebuka Ndukwu, Godwin Nse Ebong, Andrew Chinonso Nwanakwaugwu, Ubochi Chibueze Nwamouh.
© 2024.
29 pages.
|
|
Shruti Jose, Priyakrushna Mohanty.
© 2024.
20 pages.
|
|
Richa Srishti.
© 2024.
15 pages.
|
|
Aleksei Alipichev, Liudmila Nazarova, Yana Chistova.
© 2024.
21 pages.
|
|
Mustafa Öztürk Akcaoğlu, Burcu Karabulut Coşkun.
© 2024.
18 pages.
|
|
|