The International Technology Management Review

Volume 7, Issue 1, March 2018, Pages 34 - 46

A Conceptual Framework for the Acceptance of Drones

Authors
Johnny Chamata, Jonathan Winterton
Corresponding Author
Johnny Chamata
Available Online 31 March 2018.
DOI
https://doi.org/10.2991/itmr.7.1.4How to use a DOI?
Keywords
public acceptance, civil drones, unmanned aircraft, conceptual framework, systematic review
Abstract

The literature on the public acceptance of unmanned aircraft, aka drones, is scarce and undeveloped. This is evident in the absence of theoretical and methodological substantiality in existing research. This research paper suggests a conceptual model for predicting the public acceptance of unmanned aircraft. This was accomplished by systematically reviewing previous literature on the public acceptance of genetically modified food and nuclear energy. Results of the review revealed that behavioral models such as TRA and TAM, when include concepts from risk theory, can provide the desired model. The model consists of five constructs namely: intention to purchase/use, attitudes towards using, perceived benefit, perceived risk, and perceived control. Future research is required to further develop the proposed model relevant for the context of drones’ acceptance.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
The International Technology Management Review
Volume-Issue
7 - 1
Pages
34 - 46
Publication Date
2018/03/31
ISSN (Online)
1835-5269
ISSN (Print)
2213-7149
DOI
https://doi.org/10.2991/itmr.7.1.4How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Johnny Chamata
AU  - Jonathan Winterton
PY  - 2018
DA  - 2018/03/31
TI  - A Conceptual Framework for the Acceptance of Drones
JO  - The International Technology Management Review
SP  - 34
EP  - 46
VL  - 7
IS  - 1
SN  - 1835-5269
UR  - https://doi.org/10.2991/itmr.7.1.4
DO  - https://doi.org/10.2991/itmr.7.1.4
ID  - Chamata2018
ER  -