Perceived Risk in Online Consumer Behavior
Summary
Perceived risk in online consumer behaviour refers to the subjective assessment of potential negative outcomes when purchasing goods or services via digital channels. It comprises multiple dimensions—financial, privacy, performance, social and psychological—that influence a consumer’s decision process. High levels of perceived risk may deter first-time buyers, reduce repeat patronage and curtail engagement with new features such as social sharing or user-generated endorsements. Conversely, lower risk perceptions foster trust, encourage exploration of unfamiliar vendors and support the uptake of novel payment or delivery options. Understanding these dynamics is essential for e-retailers, platform designers and policymakers alike. In practice, strategic interventions—ranging from secure payment gateways and transparent data-use policies to customer reviews and satisfaction guarantees—are employed to mitigate risk perceptions. Recent work illustrates how sociodemographic variables and prior experience shape risk appraisals, while environmental and contextual factors, such as eco-friendly packaging or pandemic-driven shifts, introduce new layers of complexity. This field of research interweaves theories from consumer psychology, information systems and marketing science, offering concrete guidelines for reducing barriers and enhancing user confidence on a global scale.
Research from Nature Portfolio
No recent Nature Portfolio content available.
Perceived Risk in Online Consumer Behavior publication trend
The graph below shows the total number of articles in perceived risk in online consumer behavior across all publications each year (not limited to Nature Index journals).
Technical terms
Perceived risk: The consumer’s subjective assessment of potential adverse outcomes associated with an online transaction.
Purchase intention: The self-reported likelihood that a consumer will complete a purchase.
Trust: The belief in an online vendor’s reliability, integrity and ability to fulfil commitments.
Structural equation modelling: A statistical technique for evaluating complex relationships among observed and latent variables.
Moderation: The process by which a third variable alters the strength or direction of the relationship between two other variables.
Mediation: A mechanism through which one variable transmits the effect of another variable onto a third variable.
References
- Assessing customers perception of online shopping risks: A structural equation modeling–based multigroup analysis. Journal of Retailing and Consumer Services (2023).
- Relationships between Psychological Risk, Brand Trust, and Repurchase Intentions of Bottled Water: The Moderating Effect of Eco-Friendly Packaging. Sustainability (2024).
- How does risk interplay with trust in pre-and post-purchase intention to engage: PLS-SEM and ML classification approach. Journal of Marketing Analytics (2024).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.