Abstract
Car Insurance is the largest part of source of revenue for property insurance companies and is accounted for 50-60% of the revenue of total property insurance. In 2002, the total premium revenue for the industry is NT$48.532 billion, hence is closely related to the survival, growth and profit of the industry. Therefore, all the property insurance companies place their effort in this type of programs. The paper subjected the consumers of car mandatory insurance to investigate the subscription decision of consumers by applying concepts, techniques and loyalty in customer relationship.
The statistical methods employed in this paper are logistic regression and multiple regression and the Excel and Sas computer package software are used to analysis, investigate and infer the probability and subscribing amount of general consumers in subscribing car 3rd party liability coverage based on variables including age, sex, living area, marital status, age of car, level of educations, renewed years and the car insurance premium.
The findings of this research are as the following:
1. The logistic regression analysis indicates that the decision on subscribing car liability insurance is not affect by the status variables, except level of education, and is not affected by age, sex, marital status and living area.
2. The logistic regression analysis also indicate, in the transaction data statistical variables, the decision of subscribers of mandatory car insurance in subscribing car liability insurance is significantly different in age of car, years of subscribing car liability insurance and marketing channel.
3. The linear regression analysis indicates that in the decision for amount of car liability insurance will not be affected by the status variables, except level of education, and is not affected by age, sex, marital status living area.
4. The linear regression analysis also shows that in the transaction data statistical variables, the decision in of subscriber of mandatory car insurance in subscribing car liability insurance is significantly different in age of car, years of subscribing car liability insurance, but not the marketing channel.
5. Multiple regression conducted on the basis of the above analysis has come up with the following outcomes:
The age of car and the year with car liability coverage have significant effect on whether to subscribe and the amount subscribed. Therefore the regression equation is established as the following:
3rd Party Liability Insurance Premium = - 10551 + 128 car age + 740 car liability insurance subscribed years.
Key Words: Customer Relationship Management, Loyalty, Mandatory Car Insurance, Car Liability Coverage.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0826103-144223 |
| Date | 26 August 2003 |
| Creators | Kao, Chia-Hsiu |
| Contributors | Chang-Chiang Chin, Tsuang Kuo, Huei-Mei Liang, Hsien-Tang Tsai |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826103-144223 |
| Rights | not_available, Copyright information available at source archive |
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