Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance
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 th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1019626/full |
| _version_ | 1811197391850700800 |
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| author | Stav Shapira Jessica R. Cauchard |
| author_facet | Stav Shapira Jessica R. Cauchard |
| author_sort | Stav Shapira |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T01:13:57Z |
| format | Article |
| id | doaj.art-107edd7a8a2e43bd82668e286bbb3c3a |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-12T01:13:57Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-107edd7a8a2e43bd82668e286bbb3c3a2022-12-22T03:54:01ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-10-011010.3389/fpubh.2022.10196261019626Integrating drones in response to public health emergencies: A combined framework to explore technology acceptanceStav Shapira0Jessica R. Cauchard1School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, IsraelMagic Lab, Department of Industrial Engineering and Management, Faculty of Engineering, Ben-Gurion University of the Negev, Beer Sheva, IsraelThe 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.https://www.frontiersin.org/articles/10.3389/fpubh.2022.1019626/fulldronepublic health emergenciesTAMTTFrisk perceptionsocial motivation |
| spellingShingle | Stav Shapira Jessica R. Cauchard Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance Frontiers in Public Health drone public health emergencies TAM TTF risk perception social motivation |
| title | Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance |
| title_full | Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance |
| title_fullStr | Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance |
| title_full_unstemmed | Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance |
| title_short | Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance |
| title_sort | integrating drones in response to public health emergencies a combined framework to explore technology acceptance |
| topic | drone public health emergencies TAM TTF risk perception social motivation |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1019626/full |
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