Thesis (M.B.A.)--Boston University. Missing page 8 in numbering only

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.

Made available in DSpace on 2015-03-05T18:57:20Z (GMT). No. of bitstreams: 0 Previous issue date: 25 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / O setor de seguros no Brasil passou por mudanças significativas desde a abertura na economia brasileira. A pesquisa tem por objetivo analisar de que forma os grupos Bradesco Seguros S.A. e Sul América S.A. se reorganizaram e redefiniram suas estratégias de negócios, no período de 1985 a 2007, em decorrência das mudanças relevantes ocorridas no mercado segurador brasileiro. A partir de um estudo exploratório, utilizando dados de fontes de informações secundárias, buscou-se gerar explicações para responder as questões definidas pelo objetivo dessa pesquisa. Depois de concluído esse estudo pôde-se verificar que a formação dos grupos, resultou, principalmente, de suas decisões estratégicas, e não como forma de readequação às mudanças ocorridas no seu ambiente de negócios, que alteraram a estrutura do setor de seguros do Brasil. Todavia, crê-se que os grupos aproveitaram positivamente os estímulos do meio ambiente econômico. Quanto às decisões estratégicas dos grupos, no ramo auto, conclui-se que a estratégia de a / The insurance sector in Brazil has had significant changes since the open market of the Brazilian economy. This research has as its objectives to analyze how Bradesco Seguros S.A. and Sul América S.A. reorganized themselves and redefine their business strategies, from 1985 to 2007, due to the relevant changes occurred in the Brazilian insurance market. From an exploratory study, using secondary source of information, it was generated explanations to answer the questions defined as objectives of this research. After the conclusion of this study, it was possible to verify that the groups formation, resulted, mainly, from its strategic decisions, and do not as a way of re-appropriation to the changes that happened in its business atmosphere, that altered the structure of the Brazil’s insurance sector. However, it is believed that the groups took the advantage of the stimulus that came from the economic environment. As for the strategic decisions of the groups, in the auto field, it has been concluded that the st

The diploma thesis analyze an automobile insurance market. Thesis provides comprehensive description of a car insurance products spectrum which are currently offered by insurance companies. Theoretical part deals with a defining auto insurance branches, a premium construction and a development in the Czech Republic insurance market. Practical part compares and appraises individual products of chosen insurance companies according to various standards such as insurance limits, price, bonus level, client segmentation.

This diploma thesis deals with the comparison of car insurance products of chosen insurers on the Czech insurance market. It searches this complexity of problem in the meaning of global macroeconomic background, but also with the microeconomic ones, which are fundamental for issuing a insurance plan. It answers the ethical, moral attitudes of insurance basis.

Work is focused on main problems of segmentation in practical life taking complicated financial services showing difficulties the market is facing. Aa main stream is author describing czech insurance market where segmentation has held a prime place within media and insurers interest. On the other hand is also showing banking sector where easy and simple marketing segmentation has been adopted. After analyzing the real situation, author is taking best practice advise from real world and also recommendation on what to do next from theory.

The diploma thesis concerns an instance fraud issue focused on fraud related to car insurance. The aim of the work is to analyze the fight of insurance companies against frauds, the activities which are set up to prevent the occurrence of the infringement and the acts companies do in order to prevent or reduce the damage already done. Furthermore, the effects of these actions to clients are formulated and in the end the work gives suggestions on how to improve the efficiency of the fight against insurance fraud.

This thesis focuses on the Geolocation, Marketing and Insurance area. The main objective is to create definition of car insurance product for the market of Czech Republic, which will use the data gained from geolocation for the premiums adjustment. The minor objective of this thesis is to propose appropriate marketing strategy, which could be used while launching product on Czech market. Thesis is divided into theoretical and practical part. Theoretical part describes principles of geolocation, provides basic information about several specific car insurance products from Czech Republic and abroad markets. The last part of theoretical section is focused on marketing topic. Practical part of this thesis consists of car insurance product specification. Proposal for optimal marketing strategy and targeted customer groups is also included. The main output of this thesis is definition of new car insurance product, which is currently not available on Czech market. This specification could be used by Products specialists from Czech insurance companies as basis for definition of new car insurance product for Czech market.

The present paper describes the construction of a premium system for automobile liability insurance, under the restriction that risks with small expected claim amounts should pay small premiums, whereas risks with high expected claim amounts should pay high premiums. / Die vorliegende Arbeit beschreibt die Entwicklung eines Tarifes in der Kraftfahrthaftpflichtversicherung unter der Restriktion, dass von Risiken mit geringen erwarteten verursachten Schadenzahlungen niedrige Prämien und von Risiken, die hohe Schadenzahlungen erwarten lassen, hohe Prämien gefordert werden.

Recommendation systems have significantly influenced user experiences across various industries, yet their application in the insurance sector remains relatively unexplored. This thesis focuses on developing a car insurance recommendation system that implements a `consumers like you' feature. The study initially employs a clustering-based recommendation system due to missing labels in an offline environment. However, challenges emerge, such as determining the optimal number of clusters and managing complex data. Additionally, the inability to effectively update based on feedback and lower predictive performance compared to supervised methods necessitated exploring supervised alternatives. In response, this thesis proposes a methodology where the unsupervised approach simulates consumer behavior in an offline environment. Supervised alternatives are pre-trained on the clustering-based system to replicate it and come with the ability to be fine-tuned based on live traffic. Three supervised alternatives — KNN, XGBoost, and a neural network — are developed and compared. Given the supervised recommendation system adaptability based on feedback, supervised methods can provide more accurate, personalized recommendations in the insurance domain. The XGBoost and neural network-based recommendation systems were able to replicate the unsupervised approach, and their expressive power makes them valid candidate models to further evaluate on live traffic. The thesis concludes with the potential to both improve and adapt these recommendation systems to other insurance types, marking a significant step toward more personalized, user-friendly insurance services.