Presenting a Cultural Policy Model for Promoting Life Insurance (Mixed Approach)

Document Type : Original Article

Authors

1 PhD student in Cultural Management and Planning, NT.C, Islamic Azad University, Tehran, Iran.

2 Department of Industrial Design, YI.C, Islamic Azad University, Shahreri, Iran.

3 Department of Cultural Management and Media Management, SR.C, Islamic Azad University, Tehran, Iran.

Abstract

Background and Aim:
This study aimed to identify the factors affecting the acceptance of life insurance and to provide a cultural policy-making model for the promotion of life insurance in Iran. Factors such as economic, social, cultural, and political issues were investigated as the most influential factors on life insurance acceptance in this study.

Methodology:
This research was conducted in a mixed manner (qualitative and quantitative). In the qualitative phase, the thematic analysis method based on Brown and Clarke's (2006) model was used to analyze the data obtained from expert interviews and library documents. In the quantitative phase, structural equation modeling (SEM) was used to test the hypotheses and analyze the causal relationships between the variables. The data collection tool in the quantitative phase was a questionnaire based on the five-point Likert scale.

Results:
The results of the qualitative section showed that economic crises, cultural barriers, inhibiting beliefs, low financial literacy, and weakness of digital infrastructure are the main factors affecting the acceptance of life insurance in Iran. In the quantitative part, structural equation modeling (SEM) confirmed the significant effect of these factors on life insurance acceptance. Also, the media and reference groups as intervening factors have a great impact on changing social attitudes and behaviors towards life insurance.

Conclusion:
This study emphasizes that in order to promote life insurance in Iran, it is necessary to change attitudes and strengthen public awareness. Strategies such as the use of new technologies, financial incentives, transparency in insurance processes, and promotion of financial literacy are proposed as the main strategies to increase the acceptance of life insurance.

Keywords

References

منابع
جعفریان، م.، رضایی، س.، و حسینی، ف. (2020). بررسی عوامل تأثیرگذار بر گرایش افراد در تهیه بیمه‌های زندگی. مجله بیمه و سلامت، 10(3)، 45-60.
جمشیدی، ر.، و نوری، م. (2014). بررسی ضرورت سرمایه‌گذاری شرکت‌های بیمه در ورزش همگانی. پایان‌نامه کارشناسی‌ارشد، دانشگاه علامه طباطبایی، تهران. https://elmnet.ir/doc/20333049-33951
شاکری، زهرا، بهادری جهرمی، زهرا و شاکری، حسین. (1400). بازخوانی سیاست‌ها و قواعد نظام حق اختراع در پرتو مسئله تغییر اقلیم. سیاستگذاری عمومی، 7(1)، 199-213. https://doi.org/10.22059/jppolicy.2021.81995
نصر اصفهانی، احمد. (1404). رابطه تبلیغات بیمه ایران در رسانه‌های اجتماعی با تمایل به خرید بیمه‌نامه (مورد مطالعه: اصفهان). کارشناسی‌ارشد، مؤسسه آموزش عالی دانش‌پژوهان.
موحد، عطل و همکاران. (۱۴۰۱). بررسی عوامل مؤثر بر افزایش فروش بازار بیمه‌های عمر (مطالعه موردی: بیمه عمر دی). کارشناسی‌ارشد، مؤسسه آموزش عالی مهر البرز، کنفرانس ملی تحقیقات میان رشته‌ای در علوم انسانی و فرهنگ ایرانی اسلامی.
 
References
Alesina, A., Glaeser, E. L., & Sacerdote, B. (2020). The determinants of culture and behavior in economics. Journal of Economic Perspectives, 34(1), 141-163. https://doi.org/10.1257/jep.34.1.141
Benoit, C. E., et al. (2011). Genomic and proteomic strategies to identify novel targets potentially involved in learning and memory. Trends in Pharmacological Sciences, January 2011.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
Chen, X., Guo, Y., Lu, C., Wang, Y., & Wen, H. (2024). Does subjective life expectancy matter in purchasing life insurance among middle-aged and older adults? Evidence from China. Frontiers in Public Health, 12, 1426366. https://doi.org/10.3389/fpubh.2024.1426366
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.
Hill, M., & Varone, F. (2017). The Public Policy Process (6th ed.). Routledge.
Jamshidi, R., & Nouri, M. (2014). Examining the necessity of investment by insurance companies in public sports. Master's Thesis, Allameh Tabatabai University, Tehran. [In Persian]
Jafariyan, M., Rezaei, S., & Hosseini, F. (2020). Examining the influencing factors on individuals' inclination to purchase life insurance. Journal of Insurance and Health, 10(3), 45-60. [In Persian]
Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
Mead, G. H. (1985). Mind, Self, and Society: From the Standpoint of a Social Behaviorist. University of Chicago Press.
Meyer, J., & Cox, L. (2021). Genomic and proteomic approaches to understanding cognitive decline in aging and neurodegeneration. Nature Reviews Neuroscience, 22(7), 426-439.
Mouhd, Atol & colleagues (2022). Examining the factors affecting the increase in life insurance sales (Case study: Di Life Insurance). Master's thesis, Mehr Alborz Higher Education Institute, National Conference on Interdisciplinary Research in Human Sciences and Iranian Islamic Culture. [In Persian]
Patel, R., & Singh, A. (2022). Integration of genomic and proteomic data in understanding memory consolidation and cognitive plasticity. Journal of Molecular Neuroscience, 72(2), 126-139.
Shakouri, Z., Bahadori Jahromi, Z., & Shakouri, H. (2021). Revisiting the policies and rules of the patent system in light of the climate change issue. Public Policy, 7(1), 199-213. https://doi.org/10.22059/jppolicy.2021.81995 [In Persian]
Smith, A., Brown, P., & Taylor, L. (2020). The role of trust and perception in consumer insurance choices. Journal of Consumer Research, 48(5), 895-907. https://doi.org/10.1093/jcr/ucz011
Smith, R. S., & Wilson, P. R. (2019). Social and economic barriers to life insurance adoption: A global perspective. International Journal of Insurance Studies, 29(4), 232-250. https://doi.org/10.1016/j.ijins.2019.05.004
Tashakkori, A., & Teddlie, C. (2010). Sage handbook of mixed methods in social & behavioral research (2nd ed.). SAGE Publications.
Thompson, J., & Lee, Y. (2021). Proteomic and genomic profiling of cognitive disorders: Insights from Alzheimer's disease models. Alzheimer's & Dementia, 17(8), 1252-1264.
World Health Organization (WHO). (2019). Universal health coverage. World Health Organization. https://www.who.int/news-room/fact-sheets/detail/universal-health-coverage
Zou, J., Chang, J., & Ma, Y. (2012). Policy Design and the Role of Public Administrators. Public Administration Review, 72(3), 343-355. https://doi.org/10.1111/j.1540-6210.2012.02616.x
Journal of Comparative Public Administration
Volume 3, Issue 4
February 2026
Pages 226-251

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History

  • Receive Date: 13 October 2025
  • Revise Date: 23 October 2025
  • Accept Date: 11 November 2025

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