Towards the adoption of drones in foodservice industry: A generic model development

Drone technologies have recently received a great deal of attention due to their high mobility, low cost, and flexible deployment. It is anticipated that drones will be part of our daily life, just like smartphones. The wide deployment of drones in different domains such as healthcare, agriculture,...

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Main Authors: Jasim N.I., Kasim H., Mahmoud M.A.
Other Authors: 57343705600
Format: Article
Published: Little Lion Scientific 2023
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spelling my.uniten.dspace-259062023-05-29T17:05:30Z Towards the adoption of drones in foodservice industry: A generic model development Jasim N.I. Kasim H. Mahmoud M.A. 57343705600 57203863798 55247787300 Drone technologies have recently received a great deal of attention due to their high mobility, low cost, and flexible deployment. It is anticipated that drones will be part of our daily life, just like smartphones. The wide deployment of drones in different domains such as healthcare, agriculture, traffic monitoring, firefighting, national defense, rescue activity, and delivery services such as food and retail. Drones are expected to have a significant contribution to food delivery services by saving time, cost, environment, and people's life by reducing traffic congestion, wages, carbon emission, and accidents, respectively. Recently, big corporations, such as Amazon and DHL, have deployed drones as an alternative to traditional delivery methods. However, service providers of drone food delivery (DFD) services need to identify significant factors that influence potential consumers' to use drone delivery. Existing models lack a comprehensive basic theory that addresses factors that influence consumers' intention and behavior. To overcome this limitation and propose a more comprehensive model, relevant research studies from the domain of drone delivery services and other emerging technology such as IoT, Autonomous Vehicles, and Mobile Banking are identified, reviewed, analyzed, and ten potential factors are subsequently extracted. The model is expected to inspire food-service sub-sectors in planning for the adoption of drone technology adoption in evaluating an existing DFD or developing a new one. � 2021 Little Lion Scientific Final 2023-05-29T09:05:30Z 2023-05-29T09:05:30Z 2021 Article 2-s2.0-85119303151 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119303151&partnerID=40&md5=757d918b704984dfb4780e57cb47a3c5 https://irepository.uniten.edu.my/handle/123456789/25906 99 21 5069 5082 Little Lion Scientific Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Drone technologies have recently received a great deal of attention due to their high mobility, low cost, and flexible deployment. It is anticipated that drones will be part of our daily life, just like smartphones. The wide deployment of drones in different domains such as healthcare, agriculture, traffic monitoring, firefighting, national defense, rescue activity, and delivery services such as food and retail. Drones are expected to have a significant contribution to food delivery services by saving time, cost, environment, and people's life by reducing traffic congestion, wages, carbon emission, and accidents, respectively. Recently, big corporations, such as Amazon and DHL, have deployed drones as an alternative to traditional delivery methods. However, service providers of drone food delivery (DFD) services need to identify significant factors that influence potential consumers' to use drone delivery. Existing models lack a comprehensive basic theory that addresses factors that influence consumers' intention and behavior. To overcome this limitation and propose a more comprehensive model, relevant research studies from the domain of drone delivery services and other emerging technology such as IoT, Autonomous Vehicles, and Mobile Banking are identified, reviewed, analyzed, and ten potential factors are subsequently extracted. The model is expected to inspire food-service sub-sectors in planning for the adoption of drone technology adoption in evaluating an existing DFD or developing a new one. � 2021 Little Lion Scientific
author2 57343705600
author_facet 57343705600
Jasim N.I.
Kasim H.
Mahmoud M.A.
format Article
author Jasim N.I.
Kasim H.
Mahmoud M.A.
spellingShingle Jasim N.I.
Kasim H.
Mahmoud M.A.
Towards the adoption of drones in foodservice industry: A generic model development
author_sort Jasim N.I.
title Towards the adoption of drones in foodservice industry: A generic model development
title_short Towards the adoption of drones in foodservice industry: A generic model development
title_full Towards the adoption of drones in foodservice industry: A generic model development
title_fullStr Towards the adoption of drones in foodservice industry: A generic model development
title_full_unstemmed Towards the adoption of drones in foodservice industry: A generic model development
title_sort towards the adoption of drones in foodservice industry: a generic model development
publisher Little Lion Scientific
publishDate 2023
_version_ 1806427347544440832
score 13.214268