E-payment Systems Use: The Role of Cybersecurity Risk and The Moderating Effect of Risk Propensity and Technology Readiness

Abdou Illia et al.

Journal of International Technology and Information Management2026https://doi.org/10.58729/1941-6679.1628article
ABDC C
Weight
0.50

What the paper says

Advances in digitalization have accelerated consumer migrations away from traditional cash- and check-based payment systems towards electronic payment systems worldwide. Yet, many people still remain resistant. This study examined the role of motivational and inhibiting factors and their interaction effects on the use of e-payment systems. The findings suggest that perceived cybersecurity risk, risk propensity, trust in the companies offering the e-payment services, and technology readiness have a significant direct impact on the use of e-payment systems. The findings also suggest that risk propensity and technology readiness have a tempering effect on the negative impact of perceived risk. The study discussed the practical and theoretical implications of the research.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.58729/1941-6679.1628

Or copy a formatted citation

@article{abdou2026,
  title        = {{E-payment Systems Use: The Role of Cybersecurity Risk and The Moderating Effect of Risk Propensity and Technology Readiness}},
  author       = {Abdou Illia et al.},
  journal      = {Journal of International Technology and Information Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.58729/1941-6679.1628},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

E-payment Systems Use: The Role of Cybersecurity Risk and The Moderating Effect of Risk Propensity and Technology Readiness

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.