Bank customer classification in Indonesia: logistic regression vs artificial neural networks.
This paper aims to identify factors distinguish Islamic and conventional bank customers in Indonesia. It tries to relate between bank customers’ religiosity, assessment upon certain factors such as bank performance, bank advertisement and main reasons of using banking services towards their decision...
Main Authors: | Abduh, Muhamad, Dahari, Zainurin, Omar, Mohd. Azmi |
---|---|
Format: | Proceeding Paper |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/30751/1/Abduh_Poster_No_1.pptx |
Similar Items
-
Factors influence switching behavior of Islamic bank customers in Malaysia
by: Abduh, Muhamad, et al.
Published: (2013) -
The impact of crisis and macroeconomic variables toward Islamic banking deposits.
by: Abduh, Muhamad, et al.
Published: (2013) -
The role of customer satisfaction in enhancing customer loyalty in Malaysian Islamic banks
by: Amin, Muslim, et al.
Published: (2010) -
Profitability determinants of Islamic and conventional banks in Malaysia: a panel regression approach
by: Abduh, Muhamad, et al.
Published: (2013) -
An analysis on the efficiency of the Malaysian Islamic banking industry: domestic vs. foreign
by: Abd Hadi, Fatimah Salwa, et al.
Published: (2010)