Gamal, Abduallah, Chang, Victor, Nabeeh, Nada A. and Abdel-Basset, Mohamed (2024). An IoT model for supporting global governmental lockdown scenarios: investigating comparative lockdown strategies and assessing generic perception of pandemic response. Enterprise Information Systems, 18 (3),
Abstract
We propose an integrated IoT model to blend IoT technologies, neutrosophic theory and AHP to handle uncertain conditions of real-life situations and aid decision-makers with systematic and optimum decisions. In our case study, four ranked scenarios are assigned the appropriate IoT technology generated to support the government and competent authorities in the pandemic outbreak to prevent growing risks. Our study is based on the decision-makers’ judgments that need to be expanded with more experts in the various aspects of government and competent authorities. The integrated IoT model provides a balance between the restart of economic life and COVID-19 outbreaks.
Publication DOI: | https://doi.org/10.1080/17517575.2023.2300991 |
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Divisions: | College of Business and Social Sciences > Aston Business School > Operations & Information Management College of Business and Social Sciences > Aston Business School |
Funding Information: | The work was supported by the VC Research [VCR 0000125]. |
Additional Information: | Copyright © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/ licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
Uncontrolled Keywords: | COVID-19,Internet of Things,healthcare,analytic hierarchy process,integrated IoT model |
Publication ISSN: | 1751-7583 |
Last Modified: | 07 Oct 2024 07:55 |
Date Deposited: | 10 Jan 2024 17:35 |
Full Text Link: | |
Related URLs: |
https://www.tan ... 75.2023.2300991
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2024-01-31 |
Published Online Date: | 2024-01-09 |
Accepted Date: | 2023-12-28 |
Authors: |
Gamal, Abduallah
Chang, Victor ( 0000-0002-8012-5852) Nabeeh, Nada A. Abdel-Basset, Mohamed |