India’s digital payments landscape has changed dramatically since NPCI launched back in 2008. This paper digs deep into how digital payment systems have evolved, what’s driving their adoption, and how they’ve shaped the country’s economy and society. There’s a special spotlight on NPCI’s main products—UPI, IMPS, RuPay cards, BHIM, FASTag, and NACH. To get a clear picture, this research looked at NPCI’s annual reports, RBI bulletins, and World Bank financial inclusion data from 2016 to 2024. The story didn’t finish there, though—385 people from cities, towns, and villages answered a detailed questionnaire, giving insight straight from the ground. We conducted a mix of statistical tests—descriptive stats, regression models, chi-square tests, and structural equation modeling—to check six different hypotheses. Here’s what stood out: people adopt UPI more when they see it as useful (β = 0.612, p < 0.001), when internet infrastructure works well (β = 0.489, p < 0.01), and when government policies endorse these systems (β = 0.531, p < 0.001). Interoperability pushed by NPCI proved to be the primary reason, cutting transaction hassles by about 43% from 2019 to 2023. Moreover, wider use of digital payments strongly improved financial inclusion in districts that need it most, leading to a 27.6% drop in the unbanked population. According to these results, we suggest policies to ensure consistent expansion, strengthen cybersecurity, and extend digital access to the network's periphery.
Kumar, A. & Saxena, S. (2026). Digital Payment Systems in India: The Transformative Role of the National Payments Corporation of India (NPCI) in Shaping a Cashless Economy. International Journal of Advanced Research in Commerce, Management & Social Science, 09(02(IV)), 01–09. https://doi.org/10.62823/IJARCMSS/9.2(IV).9121
- Aker, J. C., & Mbiti, I. M. (2010). Mobile phones and economic development in Africa. Journal of Economic Perspectives, 24(3), 207–232. https://doi.org/10.1257/jep.24.3.207
- Chitungo, S. K., &Munongo, S. (2013). Extending the technology acceptance model to mobile banking adoption in rural Zimbabwe. Journal of Business Administration and Education, 3(1), 51–79.
- 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
- Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2018). The Global Findex Database 2017: Measuring financial inclusion and the fintech revolution. World Bank Group. https://doi.org/10.1596/978-1-4648-1259-0
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
- Gochhwal, R. (2017). Unified payment interface — An advancement in payment systems. American Journal of Industrial and Business Management, 7(10), 1174–1191. https://doi.org/10.4236/ajibm.2017.710084
- Kaur, P., & Nagpal, A. (2019). Post-demonetisation mobile payment adoption: An extended UTAUT2 perspective from Punjab, India. Journal of Financial Services Marketing, 24(3), 97–112. https://doi.org/10.1057/s41264-019-00061-0
- Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
- Kumar, A., & Aggarwal, R. (2021). BHIM-UPI adoption among small traders in Uttar Pradesh: A diffusion of innovations perspective. South Asian Journal of Business Studies, 10(2), 195–218. https://doi.org/10.1108/SAJBS-05-2020-0163
- Liébana-Cabanillas, F., Singh, N., Muñoz-Leiva, F., & Nieto-Afonso, A. (2018). A comparative study of mobile payment adoption in Spain, India, and Brazil using structural equation modelling. Electronic Commerce Research and Applications, 30, 55–70. https://doi.org/10.1016/j.elerap.2018.05.001
- Mishra, V., & Singh, V. (2020). National Payments Corporation of India and the UPI revolution: An institutional analysis. Vikalpa: The Journal for Decision Makers, 45(4), 205–219. https://doi.org/10.1177/0256090920970152
- National Payments Corporation of India. (2024). NPCI Annual Report 2023–24. NPCI. https://www.npci.org.in/annual-report
- Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.
- Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414. https://doi.org/10.1016/j.chb.2016.03.030
- Ozili, P. K. (2018). Impact of digital finance on financial inclusion and stability. Borsa Istanbul Review, 18(4), 329–340. https://doi.org/10.1016/j.bir.2017.12.003
- Reserve Bank of India. (2023). Report on Payment and Settlement Systems in India. RBI Publications. https://www.rbi.org.in
- Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
- Sharma, S., & Mishra, A. (2020). Determinants of UPI adoption among millennials: A technology acceptance model approach. International Journal of Electronic Finance, 10(2), 117–137. https://doi.org/10.1504/IJEF.2020.108891
- Singh, R., & Yadav, M. (2022). RuPay vs Visa and Mastercard: Competitive dynamics in Indian domestic card market. Journal of Payments Strategy & Systems, 16(1), 34–52. https://doi.org/10.69554/HWDT8824
- Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
- Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412.
