Designing a cyber insurance implementation model using foundational data theory

The aim of the current research is to identify the factors affecting the implementation of cyber insurance among insurance companies in Iran. The current research is developmental and applicable in terms of its purpose, and is of qualitative methods. The statistical population of the research is specialists and experts in the field of cyber insurance, who have been identified using the snowball sampling method. Using the interview technique, the data was collected and then the data and categories were coded and classified using the MAXQDA software version 2020. The reliability of the research was measured using the Kappa coefficient. In the last stage, the research model is extracted based on the Strauss and Corbin model. Based on the results of the research, the causal factors were divided into scientific, technical, and network indicators. Insurance perspective with the title of intervening factor, analysis of the external and internal environment as well as marketing and paying attention to the executive arms as foundational factors, ecosystem approach and formulation of insurance strategy as a solution, and finally increasing the level of knowledge of the insurance company, safety and security of data, improvement of services and company income, and uncertainty about the operation of insurance are known as positive and negative consequences of cyber insurance.