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Coping and Adaptive Capacities and Resilience in Disaster Management: A Bibliometric Study of Trends and Patterns in Research

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Submitted:

18 December 2024

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19 December 2024

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Abstract
The field of capacities has experienced rapid evolution, exerting influence across various aspects of the global community. This paper aims to identify and assess relevant research on the relationship between capacities and resilience in construction organizations, focusing on how various capacity-building measures influence disaster resilience outcomes and preparedness. A systematic review was conducted, analyzing research papers focused on capacities and resilience published from 1987 to 2023. Through bibliometric analysis, several key characteristics were identified: 1. The primary articles predominantly revolve around resilience through adaptive and coping capacities. 2. Prominent authors primarily explore resilience in capacity building. 3. Emerging trends in resilience and capacities encompass demographic characteristics, climate change, human psychology and behavior towards resilience, ecological resilience, adaptive management, risk assessment, vulnerability, healthcare, and the impact of COVID-19. The findings highlight the pivotal role of capacities in advancing disaster resilience, with studies reporting significant impacts on adaptive strategies and organizational preparedness. By consolidating current knowledge and trends, this paper provides a novel conceptual framework that bridges resilience theory and practice within the construction industry. Its contributions lie in identifying underexplored areas and promoting cross-disciplinary approaches to capacity-building, offering valuable insights for researchers, practitioners, and policymakers. This study is a critical step in fostering innovative research directions and supporting evidence-based strategies to enhance disaster resilience in construction organizations globally.
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Subject: Social Sciences  -   Other
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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