Original Research Paper
M. Shafiei Nikabadi; O. Afsharizadeh Jafari
Abstract
Organizational vision, organizational mission and organization's goal are the main indicators of the organization's direction. In this research, by using the new text mining technique and combining it with the k-means clustering method, the text of the vision document, organizational mission, and goals ...
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Organizational vision, organizational mission and organization's goal are the main indicators of the organization's direction. In this research, by using the new text mining technique and combining it with the k-means clustering method, the text of the vision document, organizational mission, and goals of 39 international insurance companies in the list of the top 500 companies in the world and 18 domestic insurance companies Analysis has been done. The results of the research show that international companies with concepts such as financial security, value, service, product-service, and quality in the form of 4 clusters and domestic companies with concepts such as professionalism, peace, profitability-financial, and service delivery in the form of 4 clusters are divided. Finally, international companies are aligned with domestic companies in some cases, and in many cases, the views of domestic and international companies on these documents and the words used in them are different.
Original Research Paper
G. Mahdavi; M. Rajaei
Abstract
The conventional theory of adverse selection in the market of asymmetric information expects that the phenomenon of adverse selection will always occur in this market and the bad product will remove the good product from the market and also reduce the efficiency of the market and lead to market failure. ...
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The conventional theory of adverse selection in the market of asymmetric information expects that the phenomenon of adverse selection will always occur in this market and the bad product will remove the good product from the market and also reduce the efficiency of the market and lead to market failure. Among the markets where this issue can arise is the insurance market. In the 90s, the findings of some researchers announced the occurrence of favorable selection phenomenon in the insurance market. These researches showed that if by focusing on the degree of risk aversion of people and their willingness to take preventive efforts, a negative correlation can be observed between risk aversion and risk taking, as well as between the amount of damage and insurance demand and a positive correlation between preventive efforts and insurance demand. He said that there is a favorable choice in that field of insurance, and in this case, the claim of pushing good customers out of the market along with asymmetric information will be rejected. In line with this issue, this study was conducted in Iran's car body insurance. The researcher tested this phenomenon with a field study and with the help of distributing and collecting questionnaires in the city of Tehran and also using the probit econometric method and confirmed the existence of a favorable selection phenomenon in the car body insurance market.
Original Research Paper
H. Damghanian; F. Roozban
Abstract
Sales representatives are the essential life force of the insurance industry. They are the communication bridge between the organization and the customers. Communication is one of the abilities needed by every representative; However, some factors cause a degree of communication avoidance. In the present ...
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Sales representatives are the essential life force of the insurance industry. They are the communication bridge between the organization and the customers. Communication is one of the abilities needed by every representative; However, some factors cause a degree of communication avoidance. In the present study, the aim is to identify the factors affecting communication avoidance. The research method was considered to be a descriptive mixture of participant selection, which is carried out in two quantitative and qualitative stages. The statistical population of the research was the representatives of an insurance company in Ahvaz city. According to Morgan's table, 86 people were selected randomly for the statistical sample and the questionnaires were distributed among them. In order to identify the effective factors on communication avoidance, in the first phase, with the help of McCroskey's communication avoidance questionnaire, the status of communication avoidance was identified. According to the results of the first phase, the representatives had a low score in terms of communication avoidance, among which the representatives who experienced the highest amount of communication avoidance were selected for an in-depth individual interview. In the second phase, the answers obtained from the interviews were analyzed using the thematic analysis method, and three categories of individual factors (characteristics of the agent, motivation, information, and experience), environmental factors (observer and customer), and organizational factors (laws related to insurances, training, issues related to representatives and branch employees) were identified as effective factors on the level of lack of communication among representatives. While explaining the factors, suggestions were made to solve them.
Original Research Paper
A. Shamshiri; Gh. Hajinoori; R. Sokoti Nasimi; A. Nojavan
Abstract
The types of damages that can be claimed and the way of compensation are among the issues that are dealt with by the nuclear liability conventions. Providing appropriate financial guarantees as one of the principles of nuclear civil liability is the most important method of compensation. The interest ...
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The types of damages that can be claimed and the way of compensation are among the issues that are dealt with by the nuclear liability conventions. Providing appropriate financial guarantees as one of the principles of nuclear civil liability is the most important method of compensation. The interest of countries in insurance has caused regulations in this field to be established in the conventions. Insurance only covers damages that are listed in the relevant conventions. In earlier conventions, personal and financial damages and in later conventions, new categories of nuclear damages such as loss of profit and pure economic losses have been considered claimable. In Iranian law, it seems that pure economic losses can be considered compensable from the generality of warranty rules such as harmlessness. Operators of nuclear facilities have limited liability based on conventions or domestic laws; But Iran does not have a special law in the field of civil liability caused by nuclear accidents, and it is not a member of any of the conventions; Therefore, it is possible to act only according to the general rules of responsibility, which, of course, the amount of responsibility is unlimited; Therefore, it is necessary to formulate a special law or to be a member of related conventions to benefit from insurance facilities.
Original Research Paper
A. Goudarzi; S. J. Tabatabaee Manesh
Abstract
Fraud in unemployment insurance rights and benefits is always one of the sensitive and important issues in the field of social insurance, which according to the laws is a criminal offense and can be prosecuted. Currently, the best method to evaluate fraud is to control it in the initial stages of its ...
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Fraud in unemployment insurance rights and benefits is always one of the sensitive and important issues in the field of social insurance, which according to the laws is a criminal offense and can be prosecuted. Currently, the best method to evaluate fraud is to control it in the initial stages of its formation and with the help of the information of discovered frauds in the past. In this article, first, the standard steps of fraud control in insurance claims are examined, and then, considering the existence of a suitable database regarding unemployment insurance recipients of the Social Security Organization, two data mining methods, neural networks and decision trees, are used in order to find suitable patterns. It has been shown that it can be a useful tool with a significant reduction in time and cost to help in the timely evaluation of fraud in unemployment insurance claims. In the process of the experimental study, these methods have been tested on real data including information on 15,983 new and current unemployment insurance claims and the efficiency of each method has been measured. The neural network method with an accuracy of 88% in assessing whether the demands are correct or normal has achieved the best performance in comparison with the decision tree method with an accuracy of 84%. Based on this, the most important variables affecting fraudulent claims in the neural network method are, respectively, the variables of the insured's previous job, insurance premium payment history, age, and in the decision tree method, the variables of the geographical location of the branch, gender, and number dependents of the applicant.
Original Research Paper
S.Sh. Varedi; M. Tabari; F. Faghih Aliabadi
Abstract
One of the important issues in capital markets is uncertainty, ups and downs, and yield fluctuations. Since these fluctuations can lead to an increase in uncertainty and ultimately bankruptcy and the exit of the company from the capital market, the discussion of choosing the optimal investment portfolio ...
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One of the important issues in capital markets is uncertainty, ups and downs, and yield fluctuations. Since these fluctuations can lead to an increase in uncertainty and ultimately bankruptcy and the exit of the company from the capital market, the discussion of choosing the optimal investment portfolio reduces the concern about the future of investment. In this research, the optimal composition of the investment portfolio of an insurance company in the Tehran Stock Exchange in the years 1388-1392 has been determined. To choose the optimal combination of the investment portfolio, Sharp's single-index model, which is one of the most efficient models for choosing the optimal portfolio, has been used. This research is analytical-descriptive, and in order to compile the theoretical foundations and basic concepts of the research subject, the library method and the study of Persian and Latin books and articles have been used. Also, the statistics of the financial statements of this insurance company were used to estimate the model. SPSS19 software was used to estimate and analyze the data. The results showed that among the 33 companies present in the investment portfolio of this company, 19 companies have the largest share in the composition. In the following, in order to determine the significant frequency between the current and the optimal combination of the company's portfolio, the one-sample t-test has been used. Based on this, 19 hypotheses were examined. The results showed that there is a significant difference between the current and the optimal combination of this insurance company in different companies. Finally, the share percentage of each of the 19 companies in the composition of the new portfolio was determined.
