Original Research Paper
A. Dehghani; B. Shahryar
Abstract
The main purpose of this article is to present a corporate risk management model for insurance institutions in line with the establishment of a corporate governance system with regulatory considerations. In this regard, we first introduce the theoretical foundations of the international standards and ...
Read More
The main purpose of this article is to present a corporate risk management model for insurance institutions in line with the establishment of a corporate governance system with regulatory considerations. In this regard, we first introduce the theoretical foundations of the international standards and frameworks of enterprise risk management and then present a theoretical model for the establishment of enterprise risk management based on the evaluation system of financial wealth and risks under ownership in insurance companies. In the following, while explaining the consequences of the lack of a codified model of risk management in Iranian insurance companies, we introduce one of the main causes of the decline in the financial strength ratio of insurance companies, the lack of this framework. In the end, we present a proposed structure as well as the role and position of this structure in the management of insurance companies with regulatory considerations. In this proposed model, while expressing an interactive method based on mutual cooperation between the risk management unit and different units of the insurance company, we propose a reporting system based on a kind of risk self-declaration.
Original Research Paper
Z. Seidi Aghil Abadi; S. Sehhat; R. Salehi
Abstract
The insurance industry, by its very nature, is susceptible to fraud. In car insurance, the insurer covers all damages caused to third parties by the car or car load. In recent years, due to the growth of this type of insurance, it has become necessary to identify the influencing factors on the decisions ...
Read More
The insurance industry, by its very nature, is susceptible to fraud. In car insurance, the insurer covers all damages caused to third parties by the car or car load. In recent years, due to the growth of this type of insurance, it has become necessary to identify the influencing factors on the decisions that deal with the falsity of a damage claim. One of the ways to detect and deal with this type of fraud is to check the information in the files that have claimed damages through a third party insurance policy. Data mining is a suitable method to interact with such databases and leads to the discovery of valuable knowledge from them; In this research, by examining 142 third party cases and 6 variables, it has been tried to discover fraud patterns in third party insurance. The research results show that the decision tree algorithm and neural networks have performed better than the support vector machine algorithm in identifying fraudulent, non-fraudulent, and suspicious cases.
Original Research Paper
E. Abassi; R. Chaghari
Abstract
The insurance industry is one of the industries that require the active role of policyholders to provide services, so that it will not be possible to provide optimal services if the policyholders and companies that provide services in this industry do not cooperate. The present study was conducted with ...
Read More
The insurance industry is one of the industries that require the active role of policyholders to provide services, so that it will not be possible to provide optimal services if the policyholders and companies that provide services in this industry do not cooperate. The present study was conducted with the aim of investigating the relationship between cooperative behavior and citizenship behavior of customers (insurers) with the intention of leaving their purchase in an insurance company. This research is applied research in terms of purpose and descriptive-survey in terms of nature. In this research, 385 people were selected as a sample using Cochran's formula and a simple random sampling method, and a researcher-made questionnaire was used to measure the research variables. The results of the research using structural equation analysis with the help of AMOS software showed that the cooperative behavior of customers (insurers), the citizenship behavior of customers and customer satisfaction have a negative and significant effect on the intention to quit shopping. It was also found that the cooperative behavior of customers and the citizenship behavior of customers have a positive and significant effect on customer satisfaction.
Original Research Paper
M. Goudarzi; M. Zokaei
Abstract
Saving deferred losses is one of the most fundamental issues in general insurance. In this article, a generalized Bayesian method is used to model the storage of deferred loss data in the fields of body insurance and third party automobile insurance of an Iranian insurance company using Student's t and ...
Read More
Saving deferred losses is one of the most fundamental issues in general insurance. In this article, a generalized Bayesian method is used to model the storage of deferred loss data in the fields of body insurance and third party automobile insurance of an Iranian insurance company using Student's t and Pearson's 7th type bivariate distributions. When the data do not follow the assumption of normality, heavy-tailed distributions such as Student's t and Pearson type 7 lead to more robust inferences. These distributions belong to the category of mixed-scale normal distributions. The hierarchical structure of this category allows parameter estimation to be done easily using Markovian chain Monte Carlo methods in the Bayesian framework. For mean sampling distributions, three models of analysis of variance, analysis of covariance, and random walk are considered. In addition, to identify effective samples, a sensitivity analysis study has been conducted based on the Kolbeck-Leibler divergence in the models. The results show that the random walk model with the bivariate Student's t distribution has a better performance for damage payments.
Original Research Paper
H. Sobhi; M. Bagheri
Abstract
In Iran's legal system, the insurable interest is one of the basic conditions for the validity of the insurance contract, and there are no significant writings about it; For this reason, this article, which has been written with a comparative approach, has tried as much as possible to examine the legal ...
Read More
In Iran's legal system, the insurable interest is one of the basic conditions for the validity of the insurance contract, and there are no significant writings about it; For this reason, this article, which has been written with a comparative approach, has tried as much as possible to examine the legal requirements regarding the insurable interest and at the same time measure the efficiency of these requirements. Therefore, on the one hand, the criteria for determining insurable interest in personal insurance and on the other hand, the concept of insurable interest in damage insurance have been examined; Also, considering the relationship between insurable interest and public order, the guarantee of the lack of insurable interest has been discussed with regard to articles 12 and 23 of Iran's insurance law. In addition, according to the philosophy of insurable interest legislation, the effectiveness of this doctrine in reducing the risk of moral hazard has been mentioned. In the end, among the most important results of this research, we can mention the social desirability of the insured's satisfaction criterion in life insurance, the abrogation of the insurable interest in liability insurance, and the insufficient efficiency of the doctrine of insurable interest in facing the risk of moral hazard.
F. Kazemi; H. Iranmanesh
Abstract
Iranian insurance industry has experienced tremendous growth over the past decade. In the meantime, representatives of the insurance industry have occupied an increasing share of transactions. Thus, the process of selecting a new representative is very important. The study on the characteristics of data ...
Read More
Iranian insurance industry has experienced tremendous growth over the past decade. In the meantime, representatives of the insurance industry have occupied an increasing share of transactions. Thus, the process of selecting a new representative is very important. The study on the characteristics of data warehouse and data mining techniques for selecting representatives of the insurance industry focus. Here the use of three techniques discriminated analysis, data mining, decision trees and neural networks to predict the duration of the service, premium sales representatives continuity index is evaluated. The results showed that job experience, job position, age, marital status, job, income from previous jobs and policies have been sold, the most important factor in determining the duration of activity of new agents, sold insurance policies issued and renewed insurance policies Are.The main objective of this paper is to design and develop an intelligent decision support system, or in other words the representative for insurance companies is an intelligent system to help executives in the industry to select quality members.
