Original Research Paper
F. Khamoie; M. Shokrolah Tabar Aktij; B. Moazeni; S. Sehhat
Abstract
Performance measurement for companies operating in a competitive environment has always been of interest. The purpose of the research is to evaluate the efficiency of Iran's insurance companies using the data coverage analysis model and to rank insurance companies using this model and compare the results ...
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Performance measurement for companies operating in a competitive environment has always been of interest. The purpose of the research is to evaluate the efficiency of Iran's insurance companies using the data coverage analysis model and to rank insurance companies using this model and compare the results with multi-indicator decision-making models. In order to achieve the goal ahead, with comprehensive library reviews and evaluating the results of past studies, the inputs and outputs of the data coverage analysis model were identified. In order to screen the identified variables, content analysis method with Shannon's entropy was used. Then efficient and ineffective insurance companies were identified using the data coverage analysis model and their efficiency rating was determined. In the following, insurance companies were ranked by using multi-criteria decision-making models, and in the end, Copeland's method was used to provide a single rank.
Original Research Paper
A. Ahmadzadeh; V. Noorani; A. Bahrami
Abstract
This research aims to evaluate the satisfaction of the customers of the country's insurance industry with insurance services. The field research method was based on a questionnaire based on 6580 samples of customers of 19 companies active in the country's insurance industry in 2013. The model and its ...
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This research aims to evaluate the satisfaction of the customers of the country's insurance industry with insurance services. The field research method was based on a questionnaire based on 6580 samples of customers of 19 companies active in the country's insurance industry in 2013. The model and its used indicators are determined based on the service marketing mix. The findings of the research show that in terms of field, the lowest level of satisfaction was related to the field of ship insurance and the highest level of satisfaction was related to the field of oil and energy insurance. In terms of satisfaction for each of the indicators, the most satisfied with the simplicity and speed when issuing the insurance policy and the least satisfied with the amount of damage received. Also, the comparison of customer satisfaction by insurance companies shows the effect of the age of their activity on the level of customer satisfaction. On the other hand, the size (risk holding capacity) and the state of ownership (public/private) of insurance companies have not shown a significant effect on the level of customer satisfaction. The detailed results of this research are used in identifying the weaknesses of insurance companies and solving them from the point of view of obtaining customer satisfaction.
Original Research Paper
M. Bash Afshar; M. SaedPanah; F. Tireh Eidouzehi
Abstract
This research studies the information of life insurance customers in order to achieve a clustering model for providing services. From the community of life insurance companies, an insurance company with a sample size of 1000 people who purchased life insurance in 2013 was selected. Using data mining ...
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This research studies the information of life insurance customers in order to achieve a clustering model for providing services. From the community of life insurance companies, an insurance company with a sample size of 1000 people who purchased life insurance in 2013 was selected. Using data mining clustering models, the effective factors and relationships between them were investigated and finally, the results of different clustering models were compared with each other. Using the obtained results, insurance companies can classify life insurance customers into two main groups: "profitable customers" and "risky customers" and provide appropriate service packages to each group. In addition, demographic variables such as "gender" and "age" and insurance variables such as "annual insurance premium" and "accident death rate" are influential factors in identifying customer groups.
Original Research Paper
N. Poursadegh
Abstract
Entering the new millennium and considering the rapid changes in the technology industry around the world, the competitiveness and ultimate survival of an organization depends on its ability to develop and produce new and innovative products and services. The countries of the world rely on innovation ...
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Entering the new millennium and considering the rapid changes in the technology industry around the world, the competitiveness and ultimate survival of an organization depends on its ability to develop and produce new and innovative products and services. The countries of the world rely on innovation to increase productivity and improve the economic situation, and one of the main reasons for this attention is the increasing competition between societies. Acknowledging the above issue, the present article has been written with the aim of identifying and prioritizing the factors affecting the open innovation of an insurance company. In this research, after reviewing the articles on the subject, according to the selected model, 38 indicators were identified. After designing the questionnaire based on the mentioned 38 indicators and verifying its validity by experts, a number of 134 questionnaires were collected. The effect on open innovation of the organization was determined according to the opinion of experts.
Original Research Paper
H. Sarvi Hampa; M. Mahmoudi Meimand; M.A. Sarlak; M. Taghi Amini
Abstract
Access to correct, effective and up-to-date information in today's highly competitive business environment is one of the power tools of any company at the national and corporate level to make decisions and adopt its competitive strategies; However, in the country's insurance industry, the correct and ...
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Access to correct, effective and up-to-date information in today's highly competitive business environment is one of the power tools of any company at the national and corporate level to make decisions and adopt its competitive strategies; However, in the country's insurance industry, the correct and efficient establishment of business intelligence and knowledge management systems and the identification and promotion of the key success factors of these systems seem vital. The purpose of this research is to design a model for the success of business intelligence with the approach of improving knowledge management in the insurance industry. The important influencing variables in the success of business intelligence and knowledge management have been extracted from the topic using the contextual method and based on the Delphi method. In the following, the Delphi questionnaire was provided to the respondents and in the fourth round, the macro and micro variables of the research were obtained, and finally 34 variables in the form of four categories named knowledge management variables, business intelligence, mediator, and identified results and the model was designed and validated. And using the structural equation model, the extracted model was verified.
Original Research Paper
M.J. Mohammadi; N. Boroumand; S.A. Shokuhyan
Abstract
One of the prevailing principles in life insurance law is the existence of an insurable interest. This principle is related to the public policy and life insurance contracts without insurable interest raises the possibility of moral hazard and deliberate harm to people’s lives and property. Therefore, ...
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One of the prevailing principles in life insurance law is the existence of an insurable interest. This principle is related to the public policy and life insurance contracts without insurable interest raises the possibility of moral hazard and deliberate harm to people’s lives and property. Therefore, it is truly necessary to ensure existence of this principle and determine some factors to identify it. Hence, two criteria are presented for identifying insurable interest, including spiritual factor and economic factor. Former factor mentions each person has an insurable interest in his life and loved ones, including wife, parents, children and other members of family. Latter factor refers to financial dependency between two persons, two business partner, key employees of a company and the debtor. Therefore, it is necessary to find out the intricacies of insurable interest through study of legal cases raised in the common law. This study analyzes these complexity and the precision of legal opinions.
