Presenting a model to examine the formation of habits in purchasing life insurance policies in Iran

Document Type : Original Article (Quantified)

Authors

1 PhD student in Financial Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Assistant Professor, Department of Economics, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran.

3 Associate Professor, Department of Business Administration, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Abstract
The aim of this research is to present a model to investigate the formation of habits in purchasing life insurance policies in Iran. The present research is applied in terms of its purpose and descriptive in terms of its nature and method. The statistical population of the present research includes all the activists in the insurance industry in Iran. The method and sample size in determining the appropriate degree of the proposed model was also carried out by the convenience sampling method with 30 experts and experts. The collection tool in the present research includes a researcher-made questionnaire derived from the qualitative method, which includes 4 areas of economic factors, non-economic factors, factors affecting customer withdrawal and long-term factors affecting life insurance demand. SPSS software was used to analyze the findings, and structural equations and LISREL software were used to fit the model. The research findings showed that the statistical value of the previous year's insurance demand variable was measured significantly, so it can be stated that the hypothesis of habit formation in purchasing life insurance using the conditional heteroscedasticity multivariate autoregression approach has a significant effect. In addition, other variables have a direct and significant relationship with life insurance demand.

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  • Receive Date 19 January 2025
  • Revise Date 10 April 2025
  • Accept Date 13 May 2025