Designing a Digital Marketing Model with an Emphasis on Artificial Intelligence in the Insurance Industry
Keywords:
Digital Marketing, Artificial Intelligence, Insurance IndustryAbstract
The present study aims to design a digital marketing model with an emphasis on artificial intelligence in the insurance industry. This research falls within the category of mixed-methods studies (qualitative and quantitative). The qualitative strategy employed is the grounded theory method, and the quantitative strategy is survey-based. The qualitative population includes 20 experts and managers from the insurance industry, while the quantitative section encompasses all managers and employees in the insurance sector. In the quantitative part, a non-random convenience sampling method was used, and the Cochran formula was applied to determine the sample size, resulting in the collection and analysis of 384 completed questionnaires. To assess the validity of the questionnaire, confirmatory factor analysis (CFA) was employed, and structural equation modeling (SEM) was used to test the research questions. In the qualitative phase, the data were analyzed using MAXQDA software and categorized into causal conditions, core phenomena, intervening conditions, contextual conditions, strategies, and outcomes. In the quantitative phase, using SmartPLS 3 software, two models—standard and significance models—were constructed. The path coefficient between causal conditions and the core phenomenon was 0.598 with a significance value of 7.644. The path coefficient between the core phenomenon and strategic factors was 0.635 with a significance value of 7.640. Additionally, the path coefficient between contextual conditions and strategic factors was 0.651 with a significance value of 8.021, and the coefficient between intervening conditions and strategic factors was 0.721 with a significance value of 9.458. Finally, the path coefficient between strategic factors and outcomes was 0.624 with a significance value of 8.450. These findings indicate that the components of the proposed executive model significantly and positively influence one another, and the overall model demonstrates a desirable level of fit.
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Alizadeh, H., & Jalali Filshour, M. (2023). Proposing a Mixed Model of a Digital Marketing in the Financial Services Sector with an Emphasis on Artificial Intelligence Tools. 30th National and 11th International Conference on Insurance and Development. https://www.sid.ir/paper/1086101/fa
Arumugam, T., Arun, R., Natarajan, S., Thoti, K. K., Shanthi, P., & Kommuri, U. K. (2024). Unlocking the Power of Artificial Intelligence and Machine Learning in Transforming Marketing as We Know It. IGI Global. https://doi.org/10.4018/979-8-3693-0049-7.ch005
Basit, S. A., Gharleghi, B., Rehman, A. U., Tee, P. K., Batool, K., & Nawaser, K. (2024). The Impact of Digital Products and Artificial Intelligence on Sustainable Marketing Methods. 1-24. https://doi.org/10.4018/979-8-3693-5668-5.ch001
Behera, R. K. (2024). Empowering Co-Creation of Services With Artificial Intelligence: An Empirical Analysis to Examine Adoption Intention. Marketing Intelligence & Planning, 42(6), 941-975. https://doi.org/10.1108/mip-08-2023-0412
Eshiett, I. O., & Eshiett, O. E. (2024). Artificial Intelligence Marketing and Customer Satisfaction: An Employee Job Security Threat Review. World Journal of Advanced Research and Reviews, 21(1), 446-456. https://doi.org/10.30574/wjarr.2024.21.1.2655
Fallah Noushabadi, M., Kazemi, V., Farahi, F., Raheb, A., & Mazouchi, M. (2024). The Role of Artificial Intelligence in Personalizing Marketing Efforts. Strategic Research in Education and Training, 28, 361-369. https://en.civilica.com/doc/2153195/
George, W., Oliver, J., William, L., & Brown. (2024). Exploring the Use of Artificial Intelligence in Personalizing Marketing Campaigns.
Ghazvini, N. S., Nazari, E., Salleh, N. Z. M., & Baharun, R. (2024). The Role and Application of Artificial Intelligence in Neuromarketing Research Based on Electroencephalography (EEG). International Journal of Academic Research in Business and Social Sciences, 14(12), 1556-1567. https://doi.org/http://dx.doi.org/10.6007/IJARBSS/v14-i12/24111
Gupta, R., Usman, M., Kashid, P. V., Mohan, M. L., Gaidhani, V. A., & Ghuge, M. A. R. (2025). Artificial Intelligence and IoT in Retail Marketing: Innovations in Smart Stores and Personalized Shopping. Artificial Intelligence, 5(2). https://www.researchgate.net/profile/Mohammed-Usman-30/publication/390740662
Jalali Filshour, M., & Alizadeh, H. (2022). Presenting a digital marketing model based on artificial intelligence in the field of financial services with a data foundation approach. The First National Conference on Digital Transformation, Banking and Insurance, https://civilica.com/doc/1578810/
Kamkankaew, P. (2024). How Artificial Intelligence Is Helping Businesses Grow and Thrive: The Transformative Role of Artificial Intelligence in Thai B2C Digital Marketing. Ijsasr, 4(1), 137-164. https://doi.org/10.60027/ijsasr.2024.3651
Kharis, S. A. A. (2024). Unveiling the Potential of Artificial Intelligence in Digital Marketing for Universitas Terbuka. E3s Web of Conferences, 483, 03014. https://doi.org/10.1051/e3sconf/202448303014
Kotha, S. K. (2024). The Transformative Impact of Artificial Intelligence and Machine Learning on Marketing Operations. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 10(6), 176-182. https://doi.org/10.32628/cseit24106166
Kumar, P. (2025). Impact of (AI) Artificial Intelligence on Traditional Marketing. Jier, 5(1). https://doi.org/10.52783/jier.v5i1.2286
Lyndyuk, A., Havrylyuk, I., Tomashevskii, Y., Khirivskyi, R., & Kohut, M. (2024). The Impact of Artificial Intelligence on Marketing Communications: New Business Opportunities and Challenges. Economics of Development, 23(4), 60-71. https://doi.org/10.57111/econ/4.2024.60
Malenko, M. (2024). Integration of Artificial Intelligence With Web3 Technologies for Affiliate Marketing: Review and Analysis. Pidvodni Tehnologii, 1(14), 62-70. https://doi.org/10.32347/uwt.2024.14.1205
Masoudi, M. (2024). Understanding the Role of Artificial Intelligence in Personalized Marketing Strategies. The 2nd International Conference on Sociology, Social Sciences and Education with a Future-Oriented Approach, Bushehr. https://civilica.com/doc/2037913/
Nazari, M., Heydarzadeh, A., & Mostasharnezami, I. (2024). Investigating the Acceptance of Marketing with Artificial Intelligence in the Hotel Industry (Kish Island Hotels). The 2nd National Conference on Marketing (New Approach), Mashhad. https://civilica.com/doc/2131597/
Ocak, A. (2024). Integration of Generative Artificial Intelligence With Emotional Artificial Intelligence in Marketing. 235-261. https://doi.org/10.4018/979-8-3693-6145-0.ch010
Ponomarenko, I. (2024). Artificial Intelligence in Digital Marketing. Sf, 155(3), 58-70. https://doi.org/10.31617/1.2024(155)04
Pramesworo, I. S., Alijoyo, F. A., Judijanto, L., Setianti, Y., & Susanto, H. (2024). Analysis Of The Interaction Between Marketing Communication Strategies And Economic Factors In Consumer Decision Making: Integrating Microeconomic Perspective And Communication Theory. International Journal of Artificial Intelligence Research, 8(1.1). http://ijair.id/index.php/ijair/rt/captureCite/1145/527
Singh, A. (2024). The AI Revolution: How Artificial Intelligence Is Reshaping Marketing Strategies. Interantional Journal of Scientific Research in Engineering and Management, 08(04), 1-5. https://doi.org/10.55041/ijsrem31793
Suryathi, W., & Mariani, N. W. R. (2024). Revitalizing Marketing Strategies Through the Use of Artificial Intelligence: Analysis of the Effect of Personalization, Market Data Analysis, and Campaign Automation on Sales Conversions. Escalate, 1(02), 101-108. https://doi.org/10.61536/escalate.v1i02.25
Talha, M. (2025). Optimizing Digital Marketing Campaigns Using Artificial Intelligence (AI) and Social Media Analytics: A Comparative Study of Machine Learning Algorithms. Interantional Journal of Scientific Research in Engineering and Management, 09(03), 1-9. https://doi.org/10.55041/ijsrem42691
Tauheed, J., Shabbir, A., & Pervez, M. S. (2024). Exploring the Role of Artificial Intelligence in Digital Marketing Strategies. Journal of Business Communication & Technology, 54-65. https://doi.org/10.56632/bct.2024.3105
Teng, H. Y., Li, M. W., & Chen, C. Y. (2025). Does smart technology, artificial intelligence, robotics, and algorithm (STARA) awareness have a double-edged-sword influence on proactive customer service performance? Effects of work engagement and employee resilience. Journal of Hospitality Marketing & Management, 1-24. https://doi.org/10.1080/19368623.2025.2449853
Torabi, M. A., Milani, S. M. S., & Abbasian, E. (2024). A Critical Review of Post-Human-Centered Marketing Structures: Beyond Digital Marketing and Artificial Intelligence. Intelligent Marketing Management, 5(3), 2-10. https://www.magiran.com/paper/2774350/a-critical-review-of-post-human-centric-marketing-structures-beyond-digital-marketing-and-artificial-intelligence?lang=en
Tran, M. T., & Ho, R. C. (2024). Utilization of Artificial Intelligence in the Digital Marketing Industry. 195-222. https://doi.org/10.4018/979-8-3693-5668-5.ch008
Triteos, C., Halkiopoulos, C., & Antonopoulou, H. (2024). The Influence of Artificial Intelligence on Social Media Marketing - A Conceptual Review. ICCMI E-Proceedings. https://doi.org/10.12681/iccmi.7590
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Copyright (c) 2025 Neda Seraj (Author); Alireza Rousta (Corresponding author); Farzad Asayesh, Ahmad Askari (Author)
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