Smart Marketing in Banking: How Artificial Intelligence is Changing Relationships?
Subject Areas : Marketing
Elnaz Allaf jafari
1
,
farzad asayesh
2
1 - Department of Business Management, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran
2 - Department of Business Management, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran
Keywords: Intelligent marketing management, artificial intelligence, marketing strategy, marketing mix, competitive advantage, ethical governance,
Abstract :
The change of the banking industry towards intelligentization shows a deep change in the relationship between the bank and the customer. The growing interest in artificial intelligence in academia and business emphasizes its important role in customer service. This study presents a smart marketing model or an approach to artificial intelligence technology in the banking industry. The research method is qualitative in nature and exploratory in nature. In this study, data were collected from semi-structured interviews that were conducted in-depth. The statistical population of the study consisted of 14 managers and vice presidents of Pasargad Bank in Tehran using convenience sampling. Thematic analysis method was used to analyze the data. The findings led to the identification of 4 main themes: smart marketing strategy, marketing mix, competitive advantage, and ethical governance. Also, 13 sub-themes and 49 codes were identified. The results indicate that smart marketing management in the banking industry using artificial intelligence can improve customer experience and increase process efficiency. The use of analytical data and advanced algorithms not only personalizes financial services, but also helps banks better understand customer needs and behaviors. Ultimately, this approach can significantly increase banks' competitiveness in the market.
AL-Dosari, K., Fetais, N., & Kucukvar, M. (2024). Artificial intelligence and cyber defense system for banking industry: A qualitative study of AI applications and challenges. Cybernetics and systems, 55(2), 302-330.
Arif, I., Aslam, W., & Hwang, Y. (2020). Barriers in adoption of internet banking: A structural equation modeling-Neural network approach. Technology in Society, 61, 101231.
Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers. Industrial management & data systems, 119(7), 1411-1430.
Bock, D. E., Wolter, J. S., & Ferrell, O. (2020). Artificial intelligence: Disrupting what we know about services. Journal of Services Marketing, 34(3), 317-334.
Campbell, C., Sands, S., Ferraro, C., Tsao, H.-Y. J., & Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business horizons, 63(2), 227-243.
Chui, M., Manyika, J., Miremadi, M., Henke, N., Chung, R., Nel, P., & Malhotra, S. (2018). Notes from the AI frontier: Insights from hundreds of use cases. McKinsey Global Institute, 2, 267.
Deng, T., Bi, S., Wang, J., Xiao, J., & Bao, W. (2024). Customer-centric AI in Banking: Using AIGC to Improve Personalized Services. Journal of Artificial Intelligence Practice, 7(2), 188-194.
Farayola, O. A. (2024). Revolutionizing banking security: integrating artificial intelligence, blockchain, and business intelligence for enhanced cybersecurity. Finance & Accounting Research Journal, 6(4), 501-514.
Farooq, M. W., Nawaz, F., & Sabir, R. I. (2024). To Gain Sustainable Competitive Advantages (SCA) Using Artificial Intelligence (AI) Over Competitors. Bulletin of Business and Economics (BBE), 13(2), 1026-1033.
Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119-132.
Hicham, N., Nassera, H., & Karim, S. (2023). Strategic framework for leveraging artificial intelligence in future marketing decision-making. Journal of Intelligent Management Decision, 2(3), 139-150.
Hossain, M. A., Agnihotri, R., Rushan, M. R. I., Rahman, M. S., & Sumi, S. F. (2022). Marketing analytics capability, artificial intelligence adoption, and firms' competitive advantage: Evidence from the manufacturing industry. Industrial Marketing Management, 106, 240-255.
Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 30-50.
Iravani, M., Sarmad Saidy, S., & Ghasemi, B. (2025). Investigating the path analysis of smart marketing strategy on improving the marketing performance of Saderat Khorasan Razavi Bank. International Journal of Nonlinear Analysis and Applications, 16(5), 119-128.
Keskinbora, K. H. (2019). Medical ethics considerations on artificial intelligence. Journal of clinical neuroscience, 64, 277-282.
Kim, T., Lee, H., Kim, M. Y., Kim, S., & Duhachek, A. (2023). AI increases unethical consumer behavior due to reduced anticipatory guilt. Journal of the Academy of Marketing Science, 51(4), 785-801.
Krakowski, S., Luger, J., & Raisch, S. (2023). Artificial intelligence and the changing sources of competitive advantage. Strategic Management Journal, 44(6), 1425-1452.
Kumar, V., Ashraf, A. R., & Nadeem, W. (2024). AI-powered marketing: What, where, and how? International Journal of Information Management, 77, 102783.
Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135-155.
Lom, H. S., Thoo, A. C., Lim, W. M., & Koay, K. Y. (2024). Advertising value and privacy concerns in mobile advertising: The case of sms advertising in banking. Journal of Financial Services Marketing, 29(3), 1135-1153.
Maseke, B. F. (2024). The transformative power of artificial intelligence in banking client service. South Asian Journal of Social Studies and Economics, 21(3), 93-105.
Mende, M., Scott, M. L., Ubal, V. O., Hassler, C. M., Harmeling, C. M., & Palmatier, R. W. (2024). Personalized communication as a platform for service inclusion? Initial insights into interpersonal and AI-based personalization for stigmatized consumers. Journal of service research, 27(1), 28-48.
Mgiba, F. (2020). Artificial intelligence, marketing management, and ethics: their effect on customer loyalty intentions: a conceptual study. The Retail and Marketing Review, 16(2), 18-35.
Misra, K., Schwartz, E. M., & Abernethy, J. (2019). Dynamic online pricing with incomplete information using multiarmed bandit experiments. Marketing Science, 38(2), 226-252.
Nanayakkara, N. (2020). Application of artificial intelligence in marketing mix: A conceptual review. Proceedings of the International Conference on Business & Information (ICBI),
Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of management Review, 46(1), 192-210.
Sardjono, W., & Perdana, W. G. (2022). Artificial Intelligence as a New Competitive Advantage in Digital Marketing in the Banking Industry. Conference on Innovative Technologies in Intelligent Systems and Industrial Applications,
Shaikh, A. A., Kumar, A., Mishra, A., & Elahi, Y. A. (2024). A study of customer satisfaction in using banking services through Artificial Intelligence (AI) in India. Public Administration and Policy, 27(2), 167-181.
Tajudeen Alaburo, A., & Rofiat Bolanle, T. (2024). Artificial Intelligence (Ai) In The Banking Industry: A Review Of Service Areas And Customer Service Journeys In Developing Economies. Business & Management Compass(3), 19-43.
Tiautrakul, J., & Jindakul, J. (2019). The Role of Artificial Intelligence (AI) With the Change of Marketing Communication. Available at SSRN 3385344.
Udriyah, U., Tham, J., & Azam, S. (2019). The effects of market orientation and innovation on competitive advantage and business performance of textile SMEs. Management Science Letters, 9(9), 1419-1428.
Vaid, S., Puntoni, S., & Khodr, A. (2023). Artificial intelligence and empirical consumer research: A topic modeling analysis. Journal of Business Research, 166, 114110.
Zakaria, R. M., & Kenza, S. (2024). The Impact of Artificial Intelligence on the Marketing Mix: Introducing the Digital Marketing Mix 4.0. Remittances Review, 9(5), 50-67.
Zarkesh, B. (2023). Exploring the Impact of AI-Driven Pricing on Customer Loyalty and Churn Rates in the Banking Industry NTNU].
Zierau, N., Hildebrand, C., Bergner, A., Busquet, F., Schmitt, A., & Marco Leimeister, J. (2023). Voice bots on the frontline: Voice-based interfaces enhance flow-like consumer experiences & boost service outcomes. Journal of the Academy of Marketing Science, 51(4), 823-842.