Digital banking adoption in India - UTAUT-3 and perceived risk model

We aim to study a conceptual model based on behavioural theories (UTAUT-3 model) to evaluate the adoption, usage and recommendation for digital banking services in India. We propose this model based on the UTAUT-3 integrated with perceived risk constructs. Hypotheses were developed to determine the relationships and empirically validated using the PLSs-SEM method. Using the survey method, 680 Delhi NCR respondents. Empirical results suggested that behavioural intention (BI) to usage, adoption, and recommendation affects digital banking adoption positively. The research observed that performance expectancy (PE), effort expectancy (EE), perceived privacy risk (PYR) and perceived performance risk (PPR) are the essential constructs influencing the adoption of digital banking services. Post-usage of service users will also recommend these services. The study's outcome offers valuable insights into Indian Neobanking services that researchers have not studied earlier. These insights will help bank managers, risk professionals, IT Developers, regulators, financial intermediaries, and Fintech companies.

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Publication Details

Journal
International Journal of Financial Innovation in Banking
Published
2025-01-01
DOI
https://doi.org/10.1504/ijfib.2025.146329
Citations
2
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
4.57
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article

Digital banking adoption in India - UTAUT-3 and perceived risk model

Puneett Bhatnagr, Anupama Rajesh, Richa Misra
2 citations
International Journal of Financial Innovation in Banking
FinTech, Crowdfunding, Digital Finance
4.57
article

Digital banking adoption in India - UTAUT-3 and perceived risk model

Puneett Bhatnagr, Anupama Rajesh, Richa Misra
article en
2 citations

Abstract

We aim to study a conceptual model based on behavioural theories (UTAUT-3 model) to evaluate the adoption, usage and recommendation for digital banking services in India. We propose this model based on the UTAUT-3 integrated with perceived risk constructs. Hypotheses were developed to determine the relationships and empirically validated using the PLSs-SEM method. Using the survey method, 680 Delhi NCR respondents. Empirical results suggested that behavioural intention (BI) to usage, adoption, and recommendation affects digital banking adoption positively. The research observed that performance expectancy (PE), effort expectancy (EE), perceived privacy risk (PYR) and perceived performance risk (PPR) are the essential constructs influencing the adoption of digital banking services. Post-usage of service users will also recommend these services. The study's outcome offers valuable insights into Indian Neobanking services that researchers have not studied earlier. These insights will help bank managers, risk professionals, IT Developers, regulators, financial intermediaries, and Fintech companies.

International Journal of Financial Innovation in BankingVol. 3(3)
Amity University (IN), Jaipuria Institute of Management (IN)
Openalex Percentile: Top 6%
FinTech, Crowdfunding, Digital Finance
4.57
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Digital banking adoption in India - UTAUT-3 and perceived risk model — Puneett Bhatnagr, Anupama Rajesh, et al. · International Journal of Financial Innovation in Banking (2025) | TGRS Research Map | TGRS