Paper Type
Complete
Abstract
Drone delivery offers environmental and efficiency benefits for last-mile logistics but faces adoption barriers related to privacy concerns, particularly amongst individuals exposed to surveillance without direct transaction involvement (bystanders). This study examines how privacy perceptions and perceived benefits influence bystanders’ acceptance, drawing on privacy calculus theory. Survey data from 764 United States citizens were analyzed via structural equation modelling. Perceived intrusion significantly increases privacy concerns, negatively influencing both general and local acceptance. Perceived benefits strongly affect general acceptance but fail to overcome localized resistance, revealing a general–local acceptance asymmetry. General acceptance significantly predicts local acceptance, suggesting that cultivating favorable societal attitudes creates a pathway to community-level implementation. Digital privacy literacy moderates the privacy–acceptance relationship for general but not local acceptance. These findings advance technology acceptance theory by revealing how involuntary exposure contexts fundamentally alter privacy calculus, with implications for sustainable drone deployment in residential environments.
Paper Number
1850
Recommended Citation
Guazzo, Gianluca Maria; Rosati, Pierangelo; and Lynn, Theo, "NOT IN MY BACKYARD? BYSTANDERS PRIVACY CALCULUS AND THE SOCIAL ACCEPTANCE OF DRONE DELIVERY" (2026). AMCIS 2026 Proceedings. 24.
https://aisel.aisnet.org/amcis2026/sigadit/sigadit/24
NOT IN MY BACKYARD? BYSTANDERS PRIVACY CALCULUS AND THE SOCIAL ACCEPTANCE OF DRONE DELIVERY
Drone delivery offers environmental and efficiency benefits for last-mile logistics but faces adoption barriers related to privacy concerns, particularly amongst individuals exposed to surveillance without direct transaction involvement (bystanders). This study examines how privacy perceptions and perceived benefits influence bystanders’ acceptance, drawing on privacy calculus theory. Survey data from 764 United States citizens were analyzed via structural equation modelling. Perceived intrusion significantly increases privacy concerns, negatively influencing both general and local acceptance. Perceived benefits strongly affect general acceptance but fail to overcome localized resistance, revealing a general–local acceptance asymmetry. General acceptance significantly predicts local acceptance, suggesting that cultivating favorable societal attitudes creates a pathway to community-level implementation. Digital privacy literacy moderates the privacy–acceptance relationship for general but not local acceptance. These findings advance technology acceptance theory by revealing how involuntary exposure contexts fundamentally alter privacy calculus, with implications for sustainable drone deployment in residential environments.
Comments
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