The Effect of activators on non-banking financial service receiving behavior in developing countries: An application of artificial neural network Neural Network
Aim of this paper is to measure the prediction of consumers’ response level at each selected factor using the artificial neural network, and to provide proper evidence to financial managers and executive readers for evaluating and using these variables to develop non-banking finances in developing...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Serials Publication Pvt Ltd
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/59179/ http://irep.iium.edu.my/59179/ http://irep.iium.edu.my/59179/1/Ahasanul%20%28Nural%20Network%29%20paper.pdf http://irep.iium.edu.my/59179/7/59179-The%20effect%20of%20activators%20on%20non-banking%20financial%20service%20receiving%20behavior%20in%20developing%20countries_Scopus.pdf |
| Summary: | Aim of this paper is to measure the prediction of consumers’ response level at each selected factor
using the artificial neural network, and to provide proper evidence to financial managers and executive readers
for evaluating and using these variables to develop non-banking finances in developing countries. Sample size
of the study was 207 respondents, and 41 variables under 8 factors were used to examine whether they
respond to 5-point scale with strong relationship between input neurons, hidden neurons and output neurons
throughout the artificial neural network. The results showed that Comparative Capital Benefits, Cost Benefits,
Branch Service Coverage, Self-efficacy and Service Quality were positively related with Service Intention, and
Risk was negatively related with Service Intention towards non-banking financial services. Finally, consumers’
attitude towards non-banking financial services positively influenced Service Behavior. |
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