Proposing a Smartization Model in the Insurance Industry Based on Financial Technology

Authors

    Reza Imani Department of Accounting, ST.C., Islamic Azad University, Tehran, Iran
    Nowrouz Nourollahzade * Department of Accounting, ST.C., Islamic Azad University, Tehran, Iran nour547@iau.ac.ir
    Farzaneh Beikzadeh Abbasi Department of Business Management, ST.C., Islamic Azad University, Tehran, Iran
    Fatemeh Sarraf Department of Accounting, ST.C., Islamic Azad University, Tehran, Iran

Keywords:

Smartization, insurance industry, financial technology, productivity, digital transformation

Abstract

Digital transformation and the development of financial technologies have created new opportunities for the insurance industry that can lead to improved efficiency, increased customer satisfaction, and reduced operational risks. The primary objective of this study is to propose a comprehensive model for smartizing the insurance industry based on financial technologies; a model that, through the integration of insurance processes, facilitates more accurate decision-making, enhances efficiency, and reduces uncertainty in insurance operations. This study adopts a mixed-methods approach. In the qualitative phase, using the grounded theory method, data were collected and analyzed through semi-structured interviews with 10 managers and experts from the insurance industry in order to extract the dimensions and components of smartization. In the quantitative phase, data were collected through researcher-designed questionnaires from a statistical population of 384 insurance customers, managers, and experts, and analyzed using structural equation modeling. The qualitative findings indicate that components such as data security, technological innovation, human skills, governance, and leadership play a key role in the success of smartization, while environmental factors and the digital ecosystem provide the context for achieving these outcomes. The quantitative findings also demonstrate that variables including data security, ease of use, perceived usefulness, and customer trust have a significant impact on the adoption of financial technologies and the utilization of smart insurance services. The proposed model can assist insurance companies in designing smartization strategies, optimizing processes, reducing risks, and delivering personalized services to customers. In addition to providing a practical and applicable framework, this study offers recommendations to policymakers and regulatory bodies for formulating supportive and supervisory policies aimed at the development of financial technology and the smartization of the national insurance industry. The results indicate that the use of modern insurance technologies not only contributes to increased productivity and cost reduction, but also leads to the creation of a sustainable competitive advantage in the insurance industry.

Downloads

Download data is not yet available.

References

1. Baharvand N. Digital Transformation in the Insurance Industry. Journal of New Research Approaches in Management and Accounting. 2024;7(2):45-62.

2. Ricky S. Investigating drivers of Insurtech adoption intentions. Journal of Strategic Marketing. 2025;15(1):17-29.

3. Abadeh MS, Mira SAQ, Mohammadian A. Presenting a Digital Transformation Maturity Framework in the Iranian Insurance Industry. Information Technology Management Quarterly. 2024;12(3):33-58.

4. Ghanbarzadeh M, Fathi R. Identifying Required Actions and Imperatives for Digital Transformation in Iranian Insurance. Scientific Journal of IT Managers and Insurance Economics. 2025.

5. Bastani M, Mohseni H. The Impact of FinTech on Financial Efficiency Based on Business Intelligence in the Insurance Industry. Journal of Finance and Banking. 2024.

6. Zarei H, Ghasemi A. A Model for Business Intelligence in the Insurance Industry. Quarterly of New Research in Business Management. 2022;5(4):115-32. doi: 10.47176/smok.2022.1446.

7. Yang K. Trust as an entry barrier: Evidence from FinTech adoption. Journal of Financial Services Research. 2025;50(2):123-45.

8. Zhao H, Zhang Y. Exploring trust determinants influencing the intention to use FinTech services. Journal of Financial Technology. 2024;8(2):101-15. doi: 10.1016/j.heliyon.2024.e29716.

9. Chen A, Wang L. FinTech adoption for ESG integration through robo-advisory services. Scientific Reports. 2025;15(1):17046. doi: 10.1038/s41598-025-17046-6.

10. Hassan MS, Islam MA, Abdullah ABM, Nasir H. End-user perspectives on fintech services adoption in the Bangladesh insurance industry: The moderating role of trust. Journal of Financial Services Marketing. 2024;29(4):1377-95. doi: 10.1057/s41264-024-00268-6.

11. Horvey SS. An empirical evaluation of the Technology Acceptance Model (TAM2) in P2P insurance adoption. Journal of Financial Services. 2025;18(4):209. doi: 10.3390/jrfm18040209.

12. Amnas MB, Al-Mansoori M. Understanding the determinants of FinTech adoption: A UTAUT2 and trust theoretic model approach. Journal of Financial Services Marketing. 2023;28(3):215-29. doi: 10.3390/jrfm16120505.

13. Irimia-Diéguez A, Rodríguez J. Predicting Fintech innovation adoption: The mediator role of subjective norms and perceived behavioral control. Journal of Financial Innovation. 2023;9(1):1-15. doi: 10.1186/s40854-022-00434-6.

14. Teshome G. Fintech adoption in emerging economies using structural equation modeling. Preprints. 2024. doi: 10.20944/preprints202408.0211.v1.

15. Gupta S, Sharma P. Cognitive, affective, and normative factors affecting digital insurance adoption among persons with disabilities. Journal of Business Research. 2024;156:113-24. doi: 10.1016/j.gfj.2024.101048.

16. Adabi M, Haji Heidari N, Vares H. Developing a Digital Insurance Model Using a Data-Driven Approach. Research in Business Management, University of Tehran. 2024.

17. Khorshidi M, Jafari M. Modeling FinTech variables in the insurance industry. International Journal of Innovation Management and Organizational Behavior. 2025;5(3):1-9. doi: 10.61838/kman.ijimob.5.3.4.

18. Sadeghi Sabet F. Investigating the Adoption of Digital Insurance in the Life Insurance Industry (Case Study: Iran Insurance Co., Rasht Branch). Journal of Cultural Leadership Studies. 2022;4(1):51-68.

Downloads

Published

2025-06-10

Submitted

2025-03-26

Revised

2025-05-12

Accepted

2025-05-19

Issue

Section

Articles

How to Cite

Imani, R., Nourollahzade, N., Beikzadeh Abbasi, F. ., & Sarraf, F. . (2025). Proposing a Smartization Model in the Insurance Industry Based on Financial Technology. Journal of Management and Business Solutions, 1-16. https://journalmbs.com/index.php/jmbs/article/view/128

Similar Articles

41-50 of 72

You may also start an advanced similarity search for this article.