From Interface to Intention: How Platform Design and Risk Perceptions Shape Trust in Online Food Delivery

Online food delivery (OFD) platforms operate in a digital environment shaped by increasing data regulation and cybersecurity concerns. Consumer decisions in such settings extend beyond convenience. They are influenced by how platforms manage privacy, security, and transparency.

This study examines the role of User Interface Quality and Information Quality in shaping purchase intention, while also analysing the effects of Perceived Security Risk and Perceived Privacy. Trust is positioned as a key mechanism through which risk perceptions translate into behavioural outcomes. The framework integrates insights from the Information Systems Success Model, the Technology Acceptance Model, and Perceived Risk Theory to explain how governance signals embedded within platform design influence user confidence.

Data were collected from 419 active OFD users and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The results indicate two complementary pathways. Functional app attributes directly strengthen purchase intention. At the same time, trust mitigates the negative impact of privacy and security concerns. Perceived Privacy demonstrates both direct and mediated effects, whereas Perceived Security Risk influences intention primarily through trust.

The findings indicate that users respond positively when platforms are open about their data practices and proactive about security, reinforcing long-term engagement.