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The concept of resilience: a bibliometric analysis of the emergency and disaster management literature

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  • Fatih Demiroz
  • Thomas W. Haase

Abstract

Resilience has become an important concept in the fields of emergency and disaster management. Despite the increased use of resilience in the academic and public policy arenas, the intellectual topography of this subject as it relates to emergency and disaster management contexts remains under-investigated. This article provides a snapshot of the intellectual structure of resilience studies. Using bibliometric data collected from 20 emergency and disaster management journals, this article argues that the interdisciplinary nature of resilience research comes from its historical roots. The findings also demonstrate that resilience research in the emergency and disaster management fields is organised into three primary clusters: environmental and ecological issues, emergency and disaster management, and public policy and administration. The article concludes with implications for policymakers, as well as recommendations for future research.

Suggested Citation

  • Fatih Demiroz & Thomas W. Haase, 2019. "The concept of resilience: a bibliometric analysis of the emergency and disaster management literature," Local Government Studies, Taylor & Francis Journals, vol. 45(3), pages 308-327, May.
    • Handle: RePEc:taf:flgsxx:v:45:y:2019:i:3:p:308-327
    DOI: 10.1080/03003930.2018.1541796
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    Cited by:

    1. Maciel M. Queiroz & Dmitry Ivanov & Alexandre Dolgui & Samuel Fosso Wamba, 2022. "Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review," Annals of Operations Research, Springer, vol. 319(1), pages 1159-1196, December.
    2. Khuram, Shahzad & Rehman, Ch. Abdul & Nasir, Nadia & Elahi, Natasha Saman, 2023. "A bibliometric analysis of quality assurance in higher education institutions: Implications for assessing university's societal impact," Evaluation and Program Planning, Elsevier, vol. 99(C).
    3. Samia Jamshed & Nauman Majeed, 2022. "Framing evolution and knowledge domain visualization of business ethics research (1975–2019): a large-scale scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4269-4294, December.
    4. Valentina Della Corte & Giovanna Del Gaudio & Fabiana Sepe & Simone Luongo, 2021. "Destination Resilience and Innovation for Advanced Sustainable Tourism Management: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    5. Joselyne Solórzano & Fernando Morante-Carballo & Néstor Montalván-Burbano & Josué Briones-Bitar & Paúl Carrión-Mero, 2022. "A Systematic Review of the Relationship between Geotechnics and Disasters," Sustainability, MDPI, vol. 14(19), pages 1-31, October.
    6. Mohammad Ashraful Mobin & Masnun Mahi & M. Kabir Hassan & Marzia Habib & Shabiha Akter & Tahmina Hassan, 2023. "An analysis of COVID-19 and WHO global research roadmap: knowledge mapping and future research agenda," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 35-56, March.
    7. Feng Wu & Yue Tang & Chaoran Lin & Yanwei Zhang & Wanqiang Xu, 2022. "Knowledge Trajectories Detection and Prediction of Modern Emergency Management in China Based on Topic Mining from Massive Literature Text," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    8. Feng Wu & Wanqiang Xu & Yue Tang & Yanwei Zhang & Chaoran Lin, 2022. "Gray Measure and Spatial Distribution Exploration of Local Emergency Resilience on Compound Disasters," IJERPH, MDPI, vol. 19(17), pages 1-20, September.
    9. Samaneh Mirzaei & Leila Mohammadinia & KHadijeh Nasiriani & Abbas Ali Dehghani Tafti & Zohreh Rahaei & Hossein Falahzade & Hamid Reza Amiri & Hamid Sharif Nia & Mohammad Hossein Dehghani, 2021. "Design and psychometric evaluation of schools’ resilience tool in Emergencies and disasters: A mixed-method," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-15, July.
    10. Bo Liu & Wei Song & Zhan Meng & Xinwei Liu, 2023. "Review of Land Use Change Detection—A Method Combining Machine Learning and Bibliometric Analysis," Land, MDPI, vol. 12(5), pages 1-26, May.
    11. Stavros Kalogiannidis & Christina-Ioanna Papadopoulou & Efstratios Loizou & Fotios Chatzitheodoridis, 2023. "Risk, Vulnerability, and Resilience in Agriculture and Their Impact on Sustainable Rural Economy Development: A Case Study of Greece," Agriculture, MDPI, vol. 13(6), pages 1-20, June.

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