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Adoption of AI in the Banking Industry : A Case Study on Indian Banks
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The Indian banking sector has been at the forefront of accepting innovative technologies and has been changing over time. Indian banks are utilizing AI-powered technologies to automate labor-intensive operations, reduce operational costs, and increase revenue growth potential. Already, machines handle a large portion of mundane tasks. In order to increase security and transparency in payment fraud detection and prevention systems, financial institutions are also utilizing artificial intelligence (AI). But in recent days, Indian banks are facing huge issues with regard to AI adoption and implementation, which needs further investigation. The present work is a case study considering two leading private banks in India. The study revealed the critical driving force of AI maturity and the key concern areas that need to be adequately addressed to ensure long-term success regarding AI adoption in the Indian banking sector.
Keywords
: Banking Sector, AI Adoption, AI Challenges, AI Maturity
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- Ahmad, T., Zhang, D., Huang, C., Zhang, H., Dai, N., Song, Y., & Chen, H. (2021). Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities. Journal of Cleaner Production, 289, 125834. https://doi.org/10.1016/J.JCLEPRO.2021.125834
- Bisht, D., Singh, R., Gehlot, A., Akram, S. V., Singh, A., Montero, E. C., Priyadarshi, N., & Twala, B. (2022). Imperative role of integrating digitalization in the firms finance: A technological perspective. Electronics, 11(19), 3252. https://doi.org/10.3390/ELECTRONICS11193252
- Brunetti, F., Matt, D. T., Bonfanti, A., De Longhi, A., Pedrini, G., & Orzes, G. (2020). Digital transformation challenges: Strategies emerging from a multi-stakeholder approach. The TQM Journal, 32(4), 697–724. https://doi.org/10.1108/TQM-12-2019-0309
- Bui, T. H., & Nguyen, V. P. (2022). The impact of artificial intelligence and digital economy on Vietnam’s legal system. International Journal for the Semiotics of Law, 1–21. https://doi.org/10.1007/S11196-022-09927-0
- Chakraborty, D. (2018). Impact of celebrity endorsed advertisements on rural consumers’purchase intention towards mobile SIM cards: A study conducted in West Bengal. Indian Journal of Marketing, 48(10), 52–63. https://doi.org/10.17010/ijom/2018/v48/i10/132335
- Chakraborty, D. (2021). Factors influencing passengers’purchase intention towards app-cab services in metro cities of India: A study on smartphone users. Indian Journal of Marketing, 51(1), 41–54. https://doi.org/10.17010/10.17010/ijom/2021/v51/i1/156933
- Chakraborty, D., & Altekar, S. (2021a). What drives people to use grocery apps? The moderating & mediating role of customer involvement and trust. Indian Journal of Marketing, 51(11), 23–37. https://doi.org/10.17010/ijom/2021/v51/i11/166734
- Chakraborty, D., & Altekar, S. (2021b). Work from home (WFH), COVID-19, and its impact on women. Prabandhan: Indian Journal of Management, 14(9), 22–29. https://doi.org/10.17010/pijom/2021/v14i9/166294
- Chakraborty, D., & Dash, G. (2022). ‘The New Normal’ and the strategies of marketers to attract consumers. Indian Journal of Marketing, 52(1), 58–62. https://doi.org/10.17010/ijom/2022/v52/i1/167652
- Chatterjee, S. (2020). AI strategy of India: Policy framework, adoption challenges and actions for government. Transforming Government: People, Process and Policy, 14(5), 757–775. https://doi.org/10.1108/TG05-2019-0031
- Dash, G., & Chakraborty, D. (2021). Transition to E-learning: By choice or by force –A cross-cultural and transnational assessment. Prabandhan: Indian Journal of Management, 14(3), 8–23. https://doi.org/10.17010/pijom/2021/v14i3/158151
- Dash, G., Akmal, S., & Chakraborty, D. (2022). A study on adoption of E-health services: Developing an integrated framework in a multinational context. Indian Journal of Marketing, 52(5), 25–40. https://doi.org/10.17010/ijom/2022/v52/i5/169415
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
- Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of Enterprise Information Management, 28(1), 107–130. https://doi.org/10.1108/JEIM-08-2013-0065
- Guo, H., & Polak, P. (2021). Artificial intelligence and financial technology FinTech: How AI is being used under the pandemic in 2020. In A. Hamdan, A. E. Hassanien, A. Razzaque, & B. Alareeni (eds.), The fourth industrial revolution: Implementation of artificial intelligence for growing business success. Studies in computational intelligence (Vol. 935, pp. 169–186). Springer. https://doi.org/10.1007/978-3-030- 62796-6_9
- Javed, S., Husain, U., & Pathak, N. (2021). Relevance of financial service advertisements in investment decisions and purchase of financial products: Evidence from the Indian insurance sector. Indian Journal of Marketing, 51(9), 41–55. https://doi.org/10.17010/ijom/2021/v51/i9/166163
- Jung, C., Mueller, H., Pedemonte, S., Plances, S., & Thew, O. (2019). Machine learning in UK financial services. Bank of England and Financial Conduct Authority. www.fca.org.uk/news/speeches/future-regulationai-consumer-good.%0Ahttps://www.bankofengland.co.uk/report/2019/machine-learning-in-ukfinancial-services
- Karbassi Yazdi, A., Spulbar, C., Hanne, T., & Birau, R. (2022). Ranking performance indicators related to banking by using hybrid multicriteria methods in an uncertain environment: Acase study for Iran under COVID-19 conditions.Systems Science & Control Engineering,10(1),166–180. https://doi.org/10.1080/21642583.2022.2052996
- Mir, U., Kar, A. K., & Gupta, M. P. (2022). AI-enabled digital identity – inputs for stakeholders and policymakers. Journal of Science and Technology Policy Management,13(3),514–541. https://doi.org/10.1108/JSTPM-09-2020-0134
- Nagdev, K., & Rajesh, A. (2018). Consumers’ intention to adopt internet banking: An Indian perspective. Indian Journal of Marketing, 48(6), 42–56. https://doi.org/10.17010/ijom/2018/v48/i6/127835
- PWC & FICCI. ( 2 0 2 2 ).Uncovering the ground truth:AI in Indian financial services. https://www.pwc.in/assets/pdfs/research-insights/2022/ai-adoption-in-indian-financial-services-andrelated-challenges.pdf
- Singh, S. (2023, February 13). AI in banking – How artificial intelligence is used in banks. Appinventiv. https://appinventiv.com/blog/ai-in-banking/
- Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington Books.
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