无人机
结构方程建模
风险感知
感知
公共卫生
英里
心理学
业务
环境卫生
健康信念模型
最后一英里(运输)
应用心理学
互联网隐私
营销
社会心理学
医学
地理
计算机科学
健康促进
护理部
遗传学
生物
机器学习
大地测量学
神经科学
作者
Steven Leon,Charlie Chen,Aaron Ratcliffe
标识
DOI:10.1080/13675567.2024.2341851
摘要
Using Technology Acceptance Model, Theory of Planned Behavior, and Privacy Calculus as theoretical frameworks, this study examined environmental and public health/safety dispositions and environmental and public health/safety benefits, perceived usefulness, privacy risk, and trust as they relate to U.S consumers intention to adopt drone delivery services. This study employed Partial Least Squares – Structural Equation Modeling methods and data were collected online using Amazon Mechanical Turk, resulting in 687 respondents. The results show that the intention to use drones for delivery increases if consumers perceive drone delivery to be useful. Additionally, perceived usefulness was influenced by a person's environmental and public health/safety dispositions along with related benefits. Additionally, as a person's perceived usefulness increases their perceived privacy risk decreases. Further, this study found that organisational trust moderates the negative effect of privacy risk on drone adoption.
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