Consumers’ perceptions of last mile drone delivery
Steven Leon, Charlie Chen, Aaron Ratcliffe
Abstract
Organisations have begun testing last mile drone delivery and will likely push to use it more in the near future. This research examines the influence of privacy, legislation, organisational trust, and usefulness on consumers’ intention to adopt last mile drone delivery services. Partial Least Squares – Structural Equation Modelling is used to evaluate the measurement and structural models. Sample data were collected from Amazon Mechanical Turk using an online survey. The analysis shows that as perceived privacy risk increases, the intention to adopt drone delivery service decreases. Additionally, privacy disposition influences privacy concerns and that both privacy concerns and legislative protections each influence perceived privacy risk. Further, perceived usefulness has the greatest influence on consumers’ intention to adopt drones for delivery. Even more, as consumers see drone delivery as more useful, their perceived privacy risk is reduced. Trust further influences consumers’ intention to adopt drones for delivery.