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Title

Predict consumer behavior in selecting mobile SIM using artificial neural networks (Case study: mobile phone subscribers in the city of Urmia)

Year: 1393
COI: ICMNG01_199
Language: EnglishView: 848
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Authors

Alireza Bafandeh Zendeh - Department of Management ,College of Management, Economics and Accounting, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Aida Meskarian - Department of Management ,College of Management, Economics and Accounting, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Davoud Norouzi - Department of Management ,College of Management, Economics and Accounting, Tabriz Branch, Islamic Azad University, Tabriz, Iran

Abstract:

This study sought to develop a model of artificial neural networks that is able to hold variables that influenceconsumer behavior and finally predict the type of SIM that consumer demands. Research's Statistical community is allmobile subscribers in the city of Urmia, in which 384 mobile subscribers have chosen to survey by sampling method. Formodeling and analysis of multi-layer neural network with hyperbolic tangent function, of education, training has been usedby the Forward algorithm that results showed the importance of independent variables in predicting the dependent variable(SIM card mobile phone) to arrange the variables of price, product, rank first and third in importance and the promotionof social class ranked fifth in importance. Gender, education and marital status have the least impact on selecting the typeof SIM card. The overall extension of the model obtained 65.7 percent of the SIM card used in the test samples correctlypredicted.

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Paper COI Code

This Paper COI Code is ICMNG01_199. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/311551/

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Bafandeh Zendeh, Alireza and Meskarian, Aida and Norouzi, Davoud,1393,Predict consumer behavior in selecting mobile SIM using artificial neural networks (Case study: mobile phone subscribers in the city of Urmia),The first international management conference in the 21st century,Tehran,https://civilica.com/doc/311551

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 11,886
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