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    • List of Articles Insurance

      • Open Access Article

        1 - Identifying factors affecting bancassurance desks efficiency, Case study: Bank MELLAT and MA Insurance
        حمیدرضا نورعلیزاده علی  بنیادی نایینی Mohsen Sadeghi
        A majority of studies around efficiency assessment just estimate it. Indeed, they don’t address the roots of inefficiency of DMUs. These shortcomings could be resulted from silo approaches conducted by researchers. Our research aims address this gap. We propose a two-st More
        A majority of studies around efficiency assessment just estimate it. Indeed, they don’t address the roots of inefficiency of DMUs. These shortcomings could be resulted from silo approaches conducted by researchers. Our research aims address this gap. We propose a two-stage procedure in which first, the efficiency of bancassurance desks are estimated by DEA (Data Envelopment Analysis) and then, roots of inefficiency are identified by a survey designed based on enabler section of European Foundation for Quality Management model (EFQM) and conducted among bancassurance desks employees. This study is applied in terms of purpose, and mathematical as well as statistical in terms of data analysis. The population of this study consisted of all bancassurance desks of BANK MELLAT in 2015. After efficient and inefficient branches of bancassurance have been estimated and ranked, in order to identify factors affecting efficiency, a questionnaire designed according with criteria of EFQM. Reliability of questionnaire was tested by Cronbach's alpha coefficient, and normal distribution of data was tested by using the Kolmogorov-Smirnov test. The effects of variables (factors) on efficiency were evaluated via regression analysis, then obtained answers were tested for research questions. The results of ranking the impact of factors on the efficiency of bancassurance desks showed that employees, partnerships and resources, products and services, strategy, and leadership are the efficient factors, respectively. Manuscript profile
      • Open Access Article

        2 - Explaining the Role of Insurance in Developing Financial Institutions and Economic Growth in Selected Countries Using Dynamic panel Data Regression Methods and Generalized Momentum Estimation (GMM)
        Mohammad Nasr Isfahani Teimour   Mohammadi
        One of the key factors of countries’ planning in order to reach a stable long-term economic growth is existence of a proper financial market. Based on economic literature, efficient financial markets can positively affected economic growth of a nation. Furthermore, inve More
        One of the key factors of countries’ planning in order to reach a stable long-term economic growth is existence of a proper financial market. Based on economic literature, efficient financial markets can positively affected economic growth of a nation. Furthermore, investigation of effects of insurance which under a favorable financial market can make a direct and indirect influences on economic growth is mainly crucial for scholars. The main purpose of this study is to find out the effects of insurance and financial Structure on economic growth of 40 selected countries using a panel data approach over the period of 2000-2012. The results revealed that financial structure in some cases has significant effect, while in a number of cases, it shows insignificant impact. Also, the financial development index has a negligible negative effect on the economic growth of advanced countries and in the same way, this variable in MENA countries has a negative impact on economic growth. Moreover, this variable has various coefficients in several groups of countries. Furthermore, the findings depicted a positive significant effect of insurance on economic growth in advanced economies, while it negatively affects the economic growth in American nations. Manuscript profile
      • Open Access Article

        3 - Optimizing Investment in Life Insurance Based on Goal Programming
        Seyed Farhang Hoseini reza raei Ghadir Mahdavi
        Investment management in life insurance is very important because of its specific features. Unlike other insurance policies, life insurance is long-term and focused mainly on return on investment. Also, due to the 85% participation of insurers in the surplus of intere More
        Investment management in life insurance is very important because of its specific features. Unlike other insurance policies, life insurance is long-term and focused mainly on return on investment. Also, due to the 85% participation of insurers in the surplus of interest, the surplus in a period has little income for the insurance company,but the insurance company has a guaranteed return on the deficit. In addition, high return is one of the main factors of insurance companies competition in marketing. Also, insurance companies need to make sure they have enough liquidity to fulfill their obligations. Despite the fundamental differences between life insurance and property and liability insurance, No 60 Central Insurance Regulations do not differentiate between the investment of the above insurance reserves. In this study, we designed a portfolio optimization model for life insurance investments. Accordingly, the Markov Switching Vector Auto Regressive based on ideal optimization with contrasting goals set with the actual performance of the company. Optimization has been made in the portfolio of life insurance based on Moalem Insurance Company from 2012 to 2016. Investment weights have been implemented by simulating the Markov Switching VAR model with optimization objectives including maximizing insurance returns, minimizing shortfall, maximizing policyholder returns and minimizing liquidity shortages. Based on the results, the ideal planning optimization model produces more returns than the actual returns of the insurance and performs better in other objectives. As a result, this approach can be used to optimize life insurance investment portfolios in insurance companies. Manuscript profile
      • Open Access Article

        4 - A model for evaluating green marketing in the insurance industry
        aigin ghorbani ameneh khadivar leili niakan
        The insurance industry is vital in the country that is affected by green marketing. However, there is no accurate information on the green marketing situation in the country's insurance industry. This research has been tried to identify the main criteria of green market More
        The insurance industry is vital in the country that is affected by green marketing. However, there is no accurate information on the green marketing situation in the country's insurance industry. This research has been tried to identify the main criteria of green marketing evaluation to provide a model for a green marketing audit. In this regard, first, the main criteria were identified and approved by experts through a questionnaire. The final framework consists of 24 sub-criteria that are classified into ten criteria. Then, by using the fuzzy DEMATEL method, the internal relationships between the criteria and the hierarchical analysis method, each criterion and sub-criteria's final weight are obtained. According to the results, among the causes, the criterion of mission has the greatest effect on all criteria and takes the least effect from other criteria. So, this criterion has the most stimulus role, and by optimizing it, we can expect the optimization of other factors. The green sales factor is also strongly influenced by other factors and is optimized by optimizing other factors. Also, the criterion of the mission with an effective weight of 0.23 is the most important, and the criterion of green design with an effective weight of 0.024 is the least important Manuscript profile