List of Articles صنعت بیمه

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  1 - The Impact of Open Government Data and Data Innovation on Life Insurance Industry Business Development
  Saeid Taheri Saeed Shavalpour
  10.7508/jstpi.2018.03.007
  The emergence of information and communication technology has enabled organizations to use this technology to generate data in their own business. In addition, organizations need to open their industry-related data, which is generally government-owned, as well as data i More

  The emergence of information and communication technology has enabled organizations to use this technology to generate data in their own business. In addition, organizations need to open their industry-related data, which is generally government-owned, as well as data innovation, in order to develop their business. Today we are seeing a huge storm of data that is due to the actions of individuals, businesses and the state. It is essential to acquire the valuable information through the use and reuse of production data by opening up a large amount of data. In this way, the potential of the mass data of every sector of industry and business can effectively be used to plan, decide, and ultimately business development. Figures show the potential of open data in three areas: banking, insurance, and real estate. To add value, these data should be processed, combined or visualized. The purpose of this study is to investigate the relationship between open government data and data innovation and business development in the life insurance industry of insurance companies. A questionnaire was used to collect data and a random sampling method was used. In this research, 127 employees of life insurers' life insurance companies were selected as the sample for answering the questionnaire. A questionnaire was distributed among different levels of insurance life insurance companies and finally 98 people participated in the completion of the questionnaire. The findings, based on the results of the hypothesis test, indicate that open government data is effective on business development, and the variable of data innovation has a mediating role.. Manuscript profile
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  2 - The Effect Of Customer Knowledge Management Performance With Moderating Role Of Innovation Capability In Insurance Industry : A Case Study On Alborz Insurance Company
  nasrin talaeefard Farhad Sanjarifard nader salehi
  Abstract The general objective of this research is to identify the effects of customer knowledge flows on the performance and dimensions of innovation in organizations and to illustrate some of the important benefits of knowledge flows of customers in organizations. Wh More

  Abstract The general objective of this research is to identify the effects of customer knowledge flows on the performance and dimensions of innovation in organizations and to illustrate some of the important benefits of knowledge flows of customers in organizations. Which benefits from the interaction between the external and internal environment and brings unique privileges to the organization. This research is descriptive-correlational. In this research, after identifying the factors and dimensions and indicators of variables, a researcher-made questionnaire was designed based on the Likert spectrum and distributed among 200 managers of the Alborz Insurance Company. Then performance measures and customer knowledge management, business innovation and business were categorized using structural equation analysis. Finally, the research model was evaluated using PLS software. The results of the research showed that customer knowledge management has an impact on business performance with mediating the ability to innovate in the insurance industry. Manuscript profile
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  3 - Analysis of Service Supply Chain Anti-fragility in Iran Insurance Industry
  Sayyed Maisam Momeni ahmadreza ghasemi meysam shahbazi Amir Safari
  Anti-fragility allows the organisation to place itself in a position to benefit from the unknown. The purpose of this study is to identify and evaluate the indicators affecting the Anti-fragility of the insurance industry supply chain and to determine the causal relatio More

  Anti-fragility allows the organisation to place itself in a position to benefit from the unknown. The purpose of this study is to identify and evaluate the indicators affecting the Anti-fragility of the insurance industry supply chain and to determine the causal relationships between these indicators. This study has been conducted through an exploratory mixed-method. The Delphi method and the Gray-DEMATEL technique have been utilized in this study. Insurance companies must implement indices, methods, and mechanisms to promote the anti-fragility of their supply chain, though simultaneous attention to all indices is impossible and uneconomic. Therefore, deciding which indices have priority in investment can be accomplished using the research findings and determining the significance of each index, as well as the causal relationships between them. According to the results of the Delphi method, 49 indices for anti-fragility of the supply chain insurance industry, hereunder the eight main processes, have been extracted. Study results also revealed that in order to lead the supply chain insurance industry towards anti-fragility, the "knowledge and information management" and "risk management" processes should at first be considered. According to expert opinions, the "management information system" and "knowledge management implementation" indices have been selected as the most causal indices of anti-fragility of the knowledge and information management process, while the indices of "risk strategy development" and "using the risk database" have been chosen as the most causal indices of risk management anti-fragility. Manuscript profile
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  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
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  5 - Presenting a risky investment model in the insurance industry based on the fuzzy network analysis process
  Yazdan Gudarzi Farahani Amir Mohammadzade Mohsen Mehrara Zulikha  Morsali Aruznaq
  The purpose of this article is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. The insurance industry is one of the strongest and most important supporting institutions of financial More

  The purpose of this article is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. The insurance industry is one of the strongest and most important supporting institutions of financial institutions, through risk coverage and investment of technical reserves in financial and real assets and the implementation of profitable economic activities, it plays a very important role in the dynamics of financial markets. Creating a decision-making model in a fuzzy environment provides this possibility for decision-makers so that they can more easily comment on the evaluation of options and determining the importance of decision-making criteria. In this article, it has been tried to identify and introduce the most important factors and effective factors of venture capital (VC) using the technique of fuzzy network analysis process in the insurance industry. The data needed for the research has been collected through in-depth interviews with a number of experts and researchers in the insurance industry, as well as a questionnaire. Due to the lack of independence and the existence of dependence between the effective factors, the method of fuzzy network analysis process was used to identify the possible dependencies between factors and measure them for the development of the VC model, and the results were prioritized with the method of non-fuzzy network analysis process. Is. The findings of the research show that operating cycle indicators, total asset turnover ratio, total investment return, loss factor, asset-liability ratio are ranked first to fifth among VC indicators. VCs help the insurance industry establish internal accounting rules and standardize their financial statements. In other words, VC support modifies the "hard" and "soft" information required for insurance.. Manuscript profile
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  6 - Presenting a risky investment model in the insurance industry based on the fuzzy network analysis process
  Amir Mohammadzade Yazdan Gudarzi Farahani مریم  پورفرزام Zulikha  Morsali Aruznaq Mohsen Mehrara
  The purpose of this paper is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. In this paper, it has been tried to identify and introduce the most important factors and effective fact More

  The purpose of this paper is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. In this paper, it has been tried to identify and introduce the most important factors and effective factors of venture capital (VC) using the technique of fuzzy network analysis process in the insurance industry. The data needed for the research has been collected through in-depth interviews with a number of experts and researchers in the insurance industry, as well as a questionnaire. Due to the lack of independence and the existence of dependence between the effective factors, the method of fuzzy network analysis process was used to identify the possible dependencies between factors and measure them for the development of the VC model, and the results were prioritized with the method of non-fuzzy network analysis process. Is. The findings of the research show that operating cycle indicators, total asset turnover ratio, total investment return, loss factor, asset-liability ratio are ranked first to fifth among VC indicators. VCs help the insurance industry establish internal accounting rules and standardize their financial statements. In other words, VC support modifies the "hard" and "soft" information required for insurance. Manuscript profile