Scholarly Communication Theories for Building Effective Disaster-Resilient Infrastructure

Abstract

This research investigates scholarly communication theories used during the COVID-19 pandemic as a strategy for building effective disaster-resilience infrastructure. The study employed scientometric and content analysis to understand the behavior of data in this regard. For scientometric analysis part, using Scopus from 16-23rd January 2024 employing search strategy “COVID-19 and theories” OR “Community resilience” OR “Disaster-resilience Infrastructure,” it yielded about 5,266,065 documents and reduced to 10,053 through data pruning. The findings showed that 2023 has been the year with the highest number of publications 4369(43.45%) followed by 2021 accounting for 2277(22.65%). For content analysis, types of theories, constructs of importance, methodologies, etc. employed by researchers were studied. The study concludes that, even though theories are deterministically used to direct policy formulations and implementation in indeterministic disaster conditions, they quickly provide a means of understanding and enumerating possible variables for tackling such hazards.