Identifying and Analyzing Influencing Drivers on the Future of Income Resources of Social Security Organization

This research seeks to identify and analyze the drivers affecting the future of the income sources of social security organization. The theoretical population was the managers of the social security organization and experts in this field. The sampling was done judgmentally, and the sample size amounts to 15 people. Data collection tools were interviews and questionnaires. As for the findings, 35 sub-drivers were classified as economic, socio-cultural, structural, financial and investment, policy, marketing, environmental and legal drivers. These drivers were screened by distributing expert questionnaires and using Binominal's test. 13 drivers have significance coefficient of less than five percent and were selected for final prioritization. These drivers were evaluated by the Copras method and account for three criteria of experts' expertise, certainty, and importance. The driver of using the capacity of FinTechs and their innovations for financing and investment had the highest priority. Accordingly, the concluding suggestions were: using digital financial technologies and artificial intelligence to increase investment efficiency, using new financing methods such as crowd-funding, avoiding divesting loss-making companies to the organization, and strengthening good and efficient governance in the holdings of the organization.