CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Cost-effective Analysis of Drone for Disaster Victim Identification (DVI): Islamic Insurance Perspectives
Authors
Ronald McIver
Nurul Syifaa Mohd Shakil
Amirul Afif Muhamat
Suzana Sulaiman
Publication date
30 September 2022
Publisher
'e-IPH Ltd.'
Doi
Cite
Abstract
Islamic insurance(takaful) companies use cutting-edge technology to serve their customers better. Drone adoption in the sector has been intermittent, with certain regions of the globe making more use of this technology than others. The process of identifying corpses (often in large numbers) after a catastrophe is known as disaster victim identification. This study provides preliminary results based on cost-effectiveness analysis, net present value and internal rate of return to assess the cost impact of potential drone adoption. The two most essential opportunity costs to consider are time and money. Keywords: drone; Islamic insurance; takaful; disaster eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians), and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7i21.374
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Environment-Behaviour Proceedings Journal (E-BPJ)
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:ebpj.e-iph.co.uk:article/3...
Last time updated on 18/10/2022