Disaster Management during Pandemic: A Big Data-Centric Approach

Mohamed Elsotouhy (), Geetika Jain and Archana Shrivastava ()
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Mohamed Elsotouhy: The Higher Institute of Managerial Science, Egypt
Geetika Jain: IT University of Copenhagen, Denmark
Archana Shrivastava: Jaypee Business School, JIIT, Uttar Pradesh, India

International Journal of Innovation and Technology Management (IJITM), 2021, vol. 18, issue 04, 1-24

Abstract: The concept of big data (BD) has been coupled with disaster management to improve the crisis response during pandemic and epidemic. BD has transformed every aspect and approach of handling the unorganized set of data files and converting the same into a piece of more structured information. The constant inflow of unstructured data shows the research lacuna, especially during a pandemic. This study is an effort to develop a pandemic disaster management approach based on BD. BD text analytics potential is immense in effective pandemic disaster management via visualization, explanation, and data analysis. To seize the understanding of using BD toward disaster management, we have taken a comprehensive approach in place of fragmented view by using BD text analytics approach to comprehend the various relationships about disaster management theory. The study’s findings indicate that it is essential to understand all the pandemic disaster management performed in the past and improve the future crisis response using BD. Though worldwide, all the communities face big chaos and have little help reaching a potential solution.

Keywords: Disaster management; big data analytics; pandemic; crisis response; content analysis (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0219877021400034

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