Discovering latent topics and trends in digital technologies and disaster management research: A structural topic modeling approach

Kabra, Gaurav, Ghosh, Vinit and Mukherjee, Rohan (2024) Discovering latent topics and trends in digital technologies and disaster management research: A structural topic modeling approach. Engineering Management Journal. ISSN 1042-9247

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Abstract

The application of Digital Technologies (DTs) in disaster management has recently received much attention. It is imperative to summarize the existing literature in this area to identify the key research topics and possible future directions. Our study is the first of its kind to use an efficient, scalable, data-driven review approach using structural topic modeling to identify the links between DTs and disaster management. The paper has analyzed peer-reviewed Scopus-indexed journal articles on DTs and disaster management published between 2011 and 2023. Nine key research topics were identified, including topics such as technology awareness and education in disaster management, Use of social media in crisis communication, Disaster management interventions through autonomous systems, Communication networks and data applications in disasters, and Disaster management modelling. The topics and future directions represent areas where research and exploration make an important contribution to disaster management by leveraging DTs for better preparedness, response, and recovery in crisis situations.

Item Type: Article
Keywords: Digital Technologies | Disaster Management | Structural Topic Modeling | Literature Review | Text Mining
Subjects: Physical, Life and Health Sciences > Engineering and Technology
Social Sciences and humanities > Social Sciences > Social Sciences (General)
JGU School/Centre: Jindal Global Business School
Depositing User: Subhajit Bhattacharjee
Date Deposited: 25 May 2024 16:52
Last Modified: 10 Jun 2024 04:32
Official URL: https://doi.org/10.1080/10429247.2024.2345526
URI: https://pure.jgu.edu.in/id/eprint/7821

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