Sustainability in the Digital Age: The Impact of Artificial Intelligence on Customer Relations in the Indian Banking Sector (Bangalore North)
DOI:
https://doi.org/10.67224/ioasdjbms.2024.v01i01.001Keywords:
Artificial Intelligence (AI), Customer Relations, Indian Banking sectorAbstract
Artificial Intelligence (AI) has emerged as a transformative force in the global banking industry, reshaping customer relations and service delivery. This study delves into the specific impact of AI on customer relationships within the Indian banking sector, focusing on the banks of the Bangalore North region. The Indian banking landscape has witnessed a significant evolution, with AI-driven technologies infiltrating various aspects of banking operations. AI-powered chatbots, personalized recommendations, and data analytics have redefined how banks engage with customers. Bangalore North, known as India's Silicon Valley, serves as an ideal microcosm to explore the rapid adoption of AI in banking due to its tech-perception population. Employing a mixed-methods approach, this research combines quantitative data analysis and qualitative interviews with bank customers and industry experts. It investigates the influence of Artificial Intelligence (AI) on customer relations within the Indian banking sector, specifically focusing on Bangalore North. Three critical variables are explored: Customer Support System, Privacy and Security, and Database Management System. To evaluate this influence, data was collected from 250 respondents through a structured questionnaire, and SPSS software was employed for data analysis. The study examines how AI has enhanced customer interactions, streamlined processes, and improved the overall banking experience. Moreover, it scrutinizes the challenges and ethical considerations associated with AI implementation. Our findings reveal that AI has indeed revolutionized customer relations in the Indian banking sector, with Bangalore North at the forefront of this transformation. Customers value the convenience and efficiency of AI-driven services, while banks reap the benefits of improved operational efficiency. However, concerns about data security and privacy persist, necessitating a balanced approach to AI integration. This research contributes to a deeper understanding of AI's role in reshaping customer relations in the banking sector, offering valuable insights for both industry practitioners and policymakers in Bangalore North and beyond.
References
• Javalgi, R. G., & Armacost, R. L. (1989). Using the Analytic Hierarchy Process for Bank Management: Analysis of Consumer Bank Selection Decisions. Journal of Business Research, 19, 33-49.
• Fu, X., Lin, Y., & Molyneux, P. (2014). Bank competition and financial stability in Asia Pacific. Journal of Banking & Finance, 38, 64-77.
• Berger, A. N., Klapper, L. F., Ariss, R. T. (2008). Bank Competition and Financial Stability. Policy Research Working Papers 4696, 1-24.
• Jewandah, S. (2018). How Artificial Intelligence is changing the banking sector - A case study of top four Commercial Indian Banks. International Journal of Management, Technology and Engineering. Retrieved from http://ijamtes.org/gallery/66.july%20ijmte%20-%20711.pdf
• Marin, Matej; Jaki, Marko. (2019). Relationship banking and information technology: the role of artificial intelligence and FinTech. Risk Management. RePEc:pal:risman:v:21:y:2019:i:1:d:10.1057_s41283-018-0039-y.
• Moro, S., Cortez, P., & Rita, P. (2015). Business intelligence in banking: a literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation. Expert Systems with Applications, 42(3), 1314-1324.
• Hsu, C. L., & Lu, H. P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & management, 41(7), 853-868.
• Jitendar Kumar and Dr. Sudipta Sen Gupta (2023)-Impact of Artificial Intelligence towards customer relationship in Indian banking industry.
• Frankel, S. (2018). The Emergence of AI in Financial Services.
• Siu, N. Y. M., & Mou, J. C. W. (2005). Assessing service quality in online banking: the instance of Hong Kong. Journal of International Consumer Marketing, 17(4), 99-116.
• Maskey, S. (2018). The Role of Artificial Intelligence in Supporting Financial Institutions. New York City: Forbes Technology Council.
• Chung, W., & Paynter, J. (2002, January). An assessment of Internet banking in New Zealand. In Proceedings of the 35th Annual Hawaii International Conference on System Sciences (pp. 2410-2419). IEEE.
• R Vedapradha, R. H. (2018). Application of Artificial Intelligence in Investment Banks. Review of Economic and Business Studies, 11(2), 131-136.
• Ivashina, V., & Scharfstein, D. (2010). Bank lending during the financial crisis of 2008. Journal of Financial Economics, 97(3), 319-338.
• Bruno, Elena & Iacoviello, Giuseppina & Lazzini, Arianna. (2017). Data Quality and Data Management in the Banking Industry. Empirical Evidence from Small Italian Banks. 10.1007/978-3-319-49538-5_2.
• Ashiq, Murtaza & Usmani, Muhammad & Naeem, Muhammad. (2020). A systematic literature review on research data management practices and services. Global Knowledge, Memory, and Communication. ahead-of-print. 10.1108/GKMC-07-2020-0103.
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Copyright (c) 2024 Vaibhav S Arwade, Prithvi Heggade M P, Aafaq Ahamed (Author)

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