Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65559
Volume:
10 |
6 |
Jun 2026
Pages:
1-11
Publication Frequency:
Monthly (12 issues per year)
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.
Associate Professor & Head, Department of Commerce
Government City College (Autonomous), Hyderabad, Telangana, India
Associate Professor & Head, Department of Commerce
Government City College (Autonomous), Hyderabad, Telangana, India
Associate Professor & Head, Department of Commerce
Government City College (Autonomous), Hyderabad, Telangana, India
India's digital payment ecosystem has undergone transformational expansion driven by UPI, mobile wallets, and fintech platforms such as Paytm (One 97 Communications Limited), which serves over 100 million active users. This growth has simultaneously amplified cybercrime and payment fraud, with CERT-In reporting over 13.91 lakh cybersecurity incidents in India in 2023 alone. This study examines consumer perceptions of fraud detection mechanisms in India's online payment gateway ecosystem with special reference to Paytm, evaluating effectiveness, accuracy, transparency, and adoption readiness from the user's perspective. A descriptive research design was employed. Primary data were collected from 100 respondents across Hyderabad, Secunderabad, Cyberabad, and Rangareddy districts of Telangana using a 15-item Likert-scale questionnaire (five-point scale). Descriptive statistics, weighted mean analysis, and Cronbach's Alpha reliability testing (α = 0.87) were applied. The study identifies a persistent awareness–action gap: while 65% of respondents demonstrate awareness of fraud-related financial losses and 63% support enhancements to fraud detection systems, familiarity with fraud patterns (34%) and regulatory knowledge (36%) remain critically low. Both hypotheses H₁ₐ and H₂ₐ are accepted. Mandatory multi-factor authentication, transparent fraud dashboards, consumer education initiatives, and regulatory literacy programmes are recommended. The study integrates the Fraud Triangle, Routine Activity Theory, and the Technology Acceptance Model into a unified framework for understanding digital payment fraud in India.
KEYWORDS
This study provides the first systematic empirical examination of consumer perceptions of fraud detection mechanisms in India's online payment gateway ecosystem, with special reference to Paytm. The fifteen-dimension survey (Cronbach's α = 0.87) reveals a consumer landscape characterised by high concern about fraud (56% concerned, mean 3.78), strong support for enhanced fraud detection investment (63% supportive, mean 3.82), and solid awareness of fraud's financial consequences (65% aware, mean 3.80), but critically undermined by low familiarity with actual fraud patterns (34% familiar, mean 2.86) and poor regulatory literacy (36% knowledgeable, mean 3.23). The awareness–action gap — where fear and concern outrun practical prevention knowledge — is identified as the defining structural challenge in India's digital payment fraud prevention ecosystem.
Agarwal, N., & Menon, P. (2020). Risk management practices in Indian online payment gateways. Journal of Banking and Risk Management, 8(2), 77–92. Ahuja, S., & Goyal, S. (2018). Digital payment systems: An analysis of secure payment systems in India. Springer. Anderson, M., & Chen, L. (2025). Advanced deep learning techniques for online payment fraud detection. Journal of Financial Crime Analytics, 11(1), 24–39. Brown, L., & Taylor, N. (2018). Consumer behavior and online payment fraud victimization. Journal of Consumer Financial Protection, 6(3), 84–98. Chaudhary, N., & Mittal, M. (2019). Cyber security and digital forensics: Principles and practices. CRC Press. Cressey, D. R. (1953). Other people's money: A study in the social psychology of embezzlement. Free Press. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. Dwivedi, A. K. (2017). Fraud analytics using descriptive, predictive, and social network techniques. Apress. Felson, M., & Cohen, L. E. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44(4), 588–608.
Publication Date
6/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
6
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...