Table 3

Perceptions of drone technology in health-care product delivery

FactorDescriptionRelevant papers
Attitude towards using technologyThis refers to an individual’s general predisposition towards using new technologiesZa’im Sahul Hameed et al. (2023); Cai et al. (2021) 
ComplexityThis refers to the perceived difficulty or complexity of using drone technology for health-care product deliveryCai et al. (2021); Jasim et al. (2022) 
CompatibilityThis refers to the perceived fit between drone technology and health-care organisations’ and workers’ needs, values, and experienceCai et al. (2021); Jasim et al. (2022) 
Personal innovativenessThis refers to the degree to which health-care organisations and workers are willing to adopt new and innovative technologies such as dronesCai et al. (2021); Jasim et al. (2022) 
Delivery riskThis refers to the potential risk or negative effect of using drones for health-care product delivery, such as crashes or loss of productsJasim et al. (2022); Leon et al. (2021); Pande and Taeihagh (2021) 
Performance riskThis refers to the potential risk or negative consequences associated with the performance of drone technology for health-care product delivery, such as product spoilage or delayed deliveryCai et al. (2021); Jasim et al. (2022) 
Relative advantageThis refers to the perceived benefits or advantages of using drones for health-care product delivery over existing alternatives, such as faster delivery times and reduced costsCai et al. (2021); Pande and Taeihagh (2021) 
Performance expectancyThis refers to the expectation of how well drone technology will perform in delivering health-care products, such as accuracy and reliabilityAghimien et al. (2022); Pande and Taeihagh (2021) 
SecurityThis refers to concerns about protecting information and data when using drone technology for health-care product deliveryCai et al. (2021); Jasim et al. (2022) 
Invasion of privacyThis refers to concerns about potential privacy violations when using drone technology for health-care product deliveryGanjipour and Edrisi (2023); Leon et al. (2021) 

Source(s): Created by the authors

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