Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67852
Volume:
10 |
10 |
Oct 2026
Pages:
1-16
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.
Bachelors of Business Administration
Koneru Lakshmaiah University
Bachelors of Business Administration
Koneru Lakshmaiah University
Bachelors of Business Administration
Koneru Lakshmaiah University
The development of the Indian digital-payment environment has probably been a whirl, and a lot of the brand-new users have encountered phishing links, OTP-provision scams and fake payment prompts. Knowledge and intention are the key elements in social engineering, which can outsmart security software. This study extends the existing literature on online security behaviour by examining online payment fraud awareness among Indian online users, measuring awareness with a demographic model of awareness, testing an awareness-attention-behaviour model of safe payment intention and the identification of intervening variables by regression analysis. The data obtained from an online cross-sectional study, which consisted of 25 five-point Likert scales pertaining to five constructs were subjected to data analysis using chi-square test, ANOVA and multiple linear regression. A total of 124 responses were received with 98 duplicates and 36 unique responses analysed. The scale items were satisfactory in terms of reliability except for the item perceived risk (0.59), and the values for awareness were moderate (4.13; 0.82). The reliability indexes on the scales ranged from 0.85 to 4.32. The age was significantly correlated with awareness (4, N=36) = 11.38, p=.023, exact p=.021, Cramer's V=.398); safe intention was strongly associated with awareness (exact p <.001, Cramer's V=.603); gender, education, occupation and income did not show significant association. One-way ANOVA was used to determine the differences between the demographic groups in awareness and safe payment intention, but no significant differences were found in both cases (p>.146). Multiple regression was significant (F(4,31) = 26.37, p<.001, R=.773), with awareness the only significant predictor (=.752, p<.001); perceived risk marginal (=.264, p=.072). The level of trust in payment platform and self-efficacy were not significant (trust VIF=8.47). The results demonstrate that concrete and specific knowledge is the most significant factor on safe payment intention, knowledge of security of digital payments. Generalisation is limited due to small, non-probability sample and results should be viewed as exploratory.
KEYWORDS
The present work examined the relationships between digital payment fraud awareness, perceived risk, platform trust and platform self-efficacy and safe intention of behaviour with a small sample of Indian users. Sample were medium to high aware and high willing for safe behaviour. Only demographic factors weakly differentiated the digital payment fraud awareness, only age group was significant. In the regression model, which explained approximately ¾ of the variance in intention, fraud awareness was the strongest and most stable predictor, with perceived severity close behind and trust and self-efficacy statistically deprived by awareness, because of their very high collinearity. Hence, recognition oriented, practical fraud education is the most effective for regulators and educators, to foster safe payment behaviour. This small sample has to be validated on larger samples.
1. Akosile, M. O., Ajayi, L. B., & Ajayi, F. I. (2025). Electronic fraud in the age of digital payment among the users in Ekiti State, Nigeria. Fuoye Journal of Management Sciences,3(2),146–157. https://www.researchgate.net/publication/403799535_ELECTRONIC_FRAUD_IN_ THE_AGE_OF_DIGITAL_PAYMENT_AMONG_THE_USERS_IN_EKITI_STAT E_NIGERIA 2. Singh, K., Mistrean, L., Singh, Y., Barak, D. D., & Parashar, A. (2023). Fraud prevention in digital payment systems and cybersecurity education for customers of nationalized financial institutions. In Development Through Research and Innovation–2023 (pp. 98–115), https://doi.org/10.53486/dri2023.08 3. Bulay, L., Visitacion, R. P. S., Orale, J. D., Rodriguez, A. M. C., Roldan, J. M., Baluyos, A. K. A. D., Pantua, M. C., Lagane, F., Codilla, J. P. U., Pepito, A., Sumoroy, M. C., Dolalas, K. R., & Fernandez, G. A. (2026). Assessment of consumer cybersecurity awareness, fraud vulnerability, and trust in e-commerce platforms: Toward a proposed machine learning-based detection framework for order scams and payment fraud. Mediterranean Journal of Basic and Applied Sciences, 10(2), 48–66. https://doi.org/10.46382/mjbas.2026.10204 4. Hirapara, D., Sheth, K., & Vidani, J. (2024). A study on the awareness of various digital payment frauds among Gen-Zs in Ahmedabad City. International Journal of Business and Management Practices, 2(6), 701–716, https://doi.org/10.59890/ijbmp.v2i6.105 5. Chugh, B., & Narang, L. (2023). Are fraud-awareness campaigns effective? Measuring the effectiveness of fraud-awareness campaigns and proposing recommendations for enhancing it, https://dvararesearch.com/are-fraud-awareness-campaigns-effective-measuring-the-effectiveness-of-fraud-awareness-campaigns-and-proposing-recommendations-for-enhancing-it/ 6. Parvathy, V., & Durairaj, D. (2021). A study on users perception and awareness towards digital payment security threats among youngsters in Chennai, Tamil Nadu, India. Asian Review of Social Sciences, 10(2), 30–34, https://doi.org/10.51983/arss-2021.10.2.2988 7. Bai, L. (2025). How online activities shape anti-fraud payment behavior: Evidence from Chinese youth. SAGE Open, 15(3), 1–19, https://doi.org/10.1177/21582440251378971 8. Saikrishnan, S. (2025). Consumer awareness towards digital payment fraud in India. International Scientific Journal of Engineering and Management, 4(10), 1–9. https://doi.org/10.55041/ISJEM05094 9. Quraishy, S. A., & Abdulla. (2026). Digital payment systems: Their role in economic growth and associated criminal activities. International Journal of Innovations in Science, Engineering and Management, 5(3), 113–119. https://doi.org/10.69968/ijisem.2026v5i3113-119 10. Maini, R., & Sindhi, V. K. (2025). Digital banking fraud in India: Typologies, victim behaviour, and AI-enabled risk governance in a global context. International Journal for Multidisciplinary Research, 7(5). https://doi.org/10.36948/ijfmr.2025.v07i05.55593
Publication Date
10/12/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
11
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...