A logistic regression approach to compare the priority banking in CIMB preferred: A case study in Kuala Lumpur, Malaysia / Siti Nur Amirah Ab Aziz

CIMB Preferred is a regional priority banking service offered in Malaysia, Singapore, Thailand, Indonesia and Cambodia. The banking service targets the upper level of customer to liaise with. A comparison between Prime Banking and Preferred Banking is being evaluated. Both type of banking were opera...

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Main Author: Ab Aziz, Siti Nur Amirah
Format: Monograph
Language:English
Published: Bachelor of Science (Hons.) Statistics 2015
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/34344/1/34344.pdf
http://ir.uitm.edu.my/id/eprint/34344/
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spelling my.uitm.ir.343442020-09-08T08:53:09Z http://ir.uitm.edu.my/id/eprint/34344/ A logistic regression approach to compare the priority banking in CIMB preferred: A case study in Kuala Lumpur, Malaysia / Siti Nur Amirah Ab Aziz Ab Aziz, Siti Nur Amirah Banking Drafts. Checks Bank stocks. Banking as an investment CIMB Preferred is a regional priority banking service offered in Malaysia, Singapore, Thailand, Indonesia and Cambodia. The banking service targets the upper level of customer to liaise with. A comparison between Prime Banking and Preferred Banking is being evaluated. Both type of banking were operated by CIMB Preferred. A secondary data involving 126 relationship managers from Prime Banking and 376 relationship managers from Preferred Banking was included in the study. A Chi-square test of association and logistic regression analyses had been conducted. The descriptive analyses recorded Chinese was the majority race among all relationship managers in both Prime and Preferred Banking. While south Malaysia recorded the highest number of branch with relationship managers. Chi-square test of association was conducted to analyses the association between staff race and branches location. Both banking discovered no significant association between staff race and branches location. The Prime and Preferred Banking were being compared using logistic regression approach. Two model of logistic regression for each type of banking had been developed. The study recorded Preferred Banking model had two significant variables. They were variables new (odd ratio=1.003, p=0.016) and in progress (odd ratio=0.928, p=0.032). The study had found most of activities in CIMB Preferred were contributed by relationship managers in Prime Banking Bachelor of Science (Hons.) Statistics 2015-01 Monograph NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/34344/1/34344.pdf Ab Aziz, Siti Nur Amirah (2015) A logistic regression approach to compare the priority banking in CIMB preferred: A case study in Kuala Lumpur, Malaysia / Siti Nur Amirah Ab Aziz. Industrial / Practical Training Report. Bachelor of Science (Hons.) Statistics, Kota Bharu. (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Banking
Drafts. Checks
Bank stocks. Banking as an investment
spellingShingle Banking
Drafts. Checks
Bank stocks. Banking as an investment
Ab Aziz, Siti Nur Amirah
A logistic regression approach to compare the priority banking in CIMB preferred: A case study in Kuala Lumpur, Malaysia / Siti Nur Amirah Ab Aziz
description CIMB Preferred is a regional priority banking service offered in Malaysia, Singapore, Thailand, Indonesia and Cambodia. The banking service targets the upper level of customer to liaise with. A comparison between Prime Banking and Preferred Banking is being evaluated. Both type of banking were operated by CIMB Preferred. A secondary data involving 126 relationship managers from Prime Banking and 376 relationship managers from Preferred Banking was included in the study. A Chi-square test of association and logistic regression analyses had been conducted. The descriptive analyses recorded Chinese was the majority race among all relationship managers in both Prime and Preferred Banking. While south Malaysia recorded the highest number of branch with relationship managers. Chi-square test of association was conducted to analyses the association between staff race and branches location. Both banking discovered no significant association between staff race and branches location. The Prime and Preferred Banking were being compared using logistic regression approach. Two model of logistic regression for each type of banking had been developed. The study recorded Preferred Banking model had two significant variables. They were variables new (odd ratio=1.003, p=0.016) and in progress (odd ratio=0.928, p=0.032). The study had found most of activities in CIMB Preferred were contributed by relationship managers in Prime Banking
format Monograph
author Ab Aziz, Siti Nur Amirah
author_facet Ab Aziz, Siti Nur Amirah
author_sort Ab Aziz, Siti Nur Amirah
title A logistic regression approach to compare the priority banking in CIMB preferred: A case study in Kuala Lumpur, Malaysia / Siti Nur Amirah Ab Aziz
title_short A logistic regression approach to compare the priority banking in CIMB preferred: A case study in Kuala Lumpur, Malaysia / Siti Nur Amirah Ab Aziz
title_full A logistic regression approach to compare the priority banking in CIMB preferred: A case study in Kuala Lumpur, Malaysia / Siti Nur Amirah Ab Aziz
title_fullStr A logistic regression approach to compare the priority banking in CIMB preferred: A case study in Kuala Lumpur, Malaysia / Siti Nur Amirah Ab Aziz
title_full_unstemmed A logistic regression approach to compare the priority banking in CIMB preferred: A case study in Kuala Lumpur, Malaysia / Siti Nur Amirah Ab Aziz
title_sort logistic regression approach to compare the priority banking in cimb preferred: a case study in kuala lumpur, malaysia / siti nur amirah ab aziz
publisher Bachelor of Science (Hons.) Statistics
publishDate 2015
url http://ir.uitm.edu.my/id/eprint/34344/1/34344.pdf
http://ir.uitm.edu.my/id/eprint/34344/
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score 13.211869