ArticleFrontiers in public health2022
Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Task-Technology Fit of Artificial Intelligence-based clinical decision support systems: a review of qualitative studies.BMC medical informatics and decision making · 2025Pooled it
- Prompt engineering competence, knowledge management, and technology fit as drivers of educational sustainability through generative AI.Scientific reports · 2026Article
- Delivery from the sky: investigating visual cues to communicate robot intentions in simulated public spaces.Scientific reports · 2026Article
- Sociodemographic determinants of willingness to adopt surveillance technology and mosquito control training for dengue in Malaysia.Scientific reports · 2026Article
- Deployment, dispatch, and delivery: a scoping review of drone-delivered AED for out-of-hospital cardiac arrest.Frontiers in public health · 2026Article
- Mobile Technology Adoption in Healthcare-A Behavioral Understanding of Chronic Patients' Perspective.Clinics and practice · 2025Article
- Human interactions with delivery drones in public spaces: design recommendations from recipient and bystander perspectives.Frontiers in robotics and AI · 2025Article
- Assessing clinical medicine students' acceptance of large language model: based on technology acceptance model.BMC medical education · 2024Article
- Article
- Using drones to improve care for HIV-exposed children in Conakry, Republic of Guinea: Anthropological perspectives.PLOS global public health · 2024Article
- Healthcare professionals' readiness and perceived barriers to drone-assisted emergency healthcare in Palestine.Digital healthArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the study was to propose and test an integrated model combining the technology acceptance model (TAM), task-technology fit (TTF), social motivation, and drone-related perceived risks to explore the intention to use drones in public health emergencies (PHEs). We conducted a survey among the Israeli population, yielding a sample of 568 participants. Structural equation modeling was implemented to test the research hypotheses. The results showed that our integrated model provided a robust and comprehensive framework to perform an in-depth investigation of the factors and mechanisms affecting drone acceptance in PHEs. First, ease of use, attitudes, individual-technology fit, task-technology fit, and social influence significantly and directly influenced users' behavioral intention to utilize drone technology. Second, attitudes were significant mediators of the effects of social influence and perceived risks on the intention to use drones. Finally, significant relationships between TAM, TTF, social motivation, and perceived risks were also observed. Theoretical aspects and practical implications-which can serve as the basis for shaping a positive development in drone public acceptance in PHEs and in general-are discussed.
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Registered trials
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