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Paper ID:IJSREM62414

Neo Banking Adoption in India: An Integrated Analysis of Consumer Readiness, Behavioral Intentions, and Attitudinal Barriers

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62414

Volume:

10 |

5 |

May 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62414

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AK

Ajeet Kumar

Department of Computer Science & IT,

JAIN (Deemed to be) University

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"T

"Ayush Toshniwal"

Department of Commerce

JAIN (Deemed to be) University

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"G

"Baranidaran G"

Department of Computer Science & IT,

JAIN (Deemed to be) University

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"J

"Arihant Jain"

Department of Commerce

JAIN (Deemed to be) University

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"G"

"Anshika Gupta "

Department of Commerce

JAIN (Deemed to be) University

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Abstract

When it comes to banking in India, you have choices. In most neighborhood’s, within five kilometers of the city Centre, you have public sector banks, private banks, small finance banks, payment banks and half dozen apps that promise to do everything that a bank can do, and much more, much faster. without the queue. Neo banks are the latest to join this fray, and it's early days yet, but there's a lot of hype. But investor and founder excitement is not the same as user adoption, which is where we got interested topic. We conducted a primary survey of 41 people to get direct insights into how people feel about neo banking - how aware they know about it, if they like it, if they are afraid of it and if they would consider it as their primary bank in the near future. We also used a larger sample of 350 structured responses and used Structural Equation Modelling using the Technology Acceptance Model (TAM) and the Technology Readiness Index (TRI). The findings are both tantalizing and sobering. More than half our primary survey respondents had already used a neo banking service, yet only 22% would describe themselves as truly informed about neo banking. The convenience factor was almost universally recognized - 85.4% agreed neo banking is more convenient than traditional banking. But security was a concern for 65.9% of the sample. Perceived Usefulness was the most significant predictor of adoption intention (β = 0.52) while insecurity regarding security was a significant brake (β =−0.18). The model explains 63% of intention to adopt. We end the paper with what we believe the results mean for the builders, regulators and incumbent banks.

KEYWORDS

Keywords: Neo Banking Technology Adoption Consumer Readiness Digital Finance India TAM TRI FinTech Behavioral Intention Financial Inclusion

Cite This Article

Ajeet Kumar, "Ayush Toshniwal", "Baranidaran G", "Arihant Jain", "Anshika Gupta ", "Neo Banking Adoption in India: An Integrated Analysis of Consumer Readiness, Behavioral Intentions, and Attitudinal Barriers," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-8, May 2026. https://doi.org/10.55041/IJSREM62414

Full Article/Conclusion

In this paper we have begun by asking a simple question: why hasn't neo In India banking is taken off more, as the strength of the But what is convenience advantage? What these things, the answer generally prove to be multi-layered. One of the answers is awareness - or unawareness. A most of our respondents had used a neo banking facility. they did it without being quite aware of it. The brand has not guppied the merchandise. One of the reasons is security anxiety, which is common but, and, especially, not identical with active distrust. The majority of reluctant users are not saying no, they are saying 'not yet.' And one reason is institutional inertia: because The largest obstacle that is not related to a need was a mere preference by 39% of the respondents. for traditional banking. No grievance over neo banking. Not a specific fear. Nothing but a familiarity with what they already possess. All these obstacles are not indefinitely fixed. The gap in awareness is bridged. as the industry continues to expand and as embedded products increase. clearly branded. Yet security anxiety declines with time as digital. finance normalises and platforms accumulate visible track record. The change in institutional preference occurs as the digital experience at. traditional banks gets better - which it gradually is - or when. neo banking achieves the stability and credibility that enables it to do so. the comparison feel a less dangerous risk. The neo banking revolution in India is supported by the infrastructure. really on-the-ground: Aadhaar, UPI, smartphone penetration, a. young and economically aspiring population. What is still being built up is the psychological fabric the confidence, the familiarity, the sense of it is as safe on Jupiter as your money. it is at SBI. It is time consuming to build up. But according to what we saw in this it is already well advanced.  

References

Arner, D. W., Barberis, J., & Buckley, R. P. (2020). FinTech, RegTech, and the reconceptualization of financial regulation. Northwestern Journal of International Law & Business, 37(3), 371–413. Chawla, D., & Joshi, H. (2019). Consumer attitude and intention to adopt mobile wallet in India: An empirical study. International Journal of Bank Marketing, 37(7), 1590–1618. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall. Garg, N., & Sahu, G. P. (2024). Modeling the barriers in adoption of neo banks in India. In S. K. Sharma, Y. K. Dwivedi, B. Metri, B. Lal, & A. Elbanna (Eds.), Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. IFIP Advances in Information and Communication Technology, Vol. 698, pp. 187–206. Springer, Cham. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61(1), 35–46. Malhotra, N. K., & Dash, S. (2016). Marketing research: An applied orientation (7th ed.). Pearson Education India. Shabu, K., & Ramankutty, V. (2022). Neobanking in India: Opportunities and challenges from customer perspective. Proceedings of the International Conference on Innovative Computing & Communication (ICICC 2022), Springer LNNS.

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Publication Date

5/3/2026

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