Utilizing Next Generation Emerging Technologies for Enabling Collective Computational Intelligence in Disaster Management

2011 ◽  
pp. 503-526 ◽  
Author(s):  
Nik Bessis ◽  
Eleana Assimakopoulou ◽  
Mehmet E. Aydin ◽  
Fatos Xhafa
Keyword(s):  
Disaster Management ◽  
Computational Intelligence ◽  
Emerging Technologies ◽  
Next Generation

scholarly journals Next-generation geospatial-temporal information technologies for disaster management

2020 ◽  
Vol 64 (1/2) ◽  
pp. 5:1-5:12
Author(s):  
C. M. Albrecht ◽  
B. Elmegreen ◽  
O. Gunawan ◽  
H. F. Hamann ◽  
L. J. Klein ◽  
...  
Keyword(s):  
Disaster Management ◽  
Information Technologies ◽  
Temporal Information ◽  
Next Generation

Emerging Technologies for Next-Generation Point-of-Care Testing

2015 ◽  
Vol 33 (11) ◽  
pp. 692-705 ◽  
Author(s):  
Sandeep Kumar Vashist ◽  
Peter B. Luppa ◽  
Leslie Y. Yeo ◽  
Aydogan Ozcan ◽  
John H.T. Luong
Keyword(s):  
Emerging Technologies ◽  
Point Of Care ◽  
Next Generation ◽  
Point Of Care Testing

Computational intelligence tools for next generation quality of service management

2009 ◽  
Vol 72 (16-18) ◽  
pp. 3631-3639 ◽  
Author(s):  
Rafael del-Hoyo ◽  
Bonifacio Martín-del-Brío ◽  
Nicolas Medrano ◽  
Julian Fernández-Navajas
Keyword(s):  
Quality Of Service ◽  
Computational Intelligence ◽  
Service Management ◽  
Next Generation

scholarly journals Disaster management and emerging technologies: a performance-based perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carlo Vermiglio ◽  
Guido Noto ◽  
Manuel Pedro Rodríguez Bolívar ◽  
Vincenzo Zarone
Keyword(s):  
Disaster Management ◽  
Web Of Science ◽  
Emerging Technologies ◽  
Future Research ◽  
Initial Sample ◽  
Content Type ◽  
Cycle Simulation ◽  
Response Recovery ◽  
Starting Point ◽  
The Impact

Purpose This paper aims to analyse how emerging technologies (ETs) impact on improving performance in disaster management (DM) processes and, concretely, their impact on the performance according to the different phases of the DM cycle (preparedness, response, recovery and mitigation). Design/methodology/approach The methodology is based on a systematic review of the literature. Scopus, ProQuest, EBSCO and Web of Science were used as data sources, and an initial sample of 373 scientific articles was collected. After abstracts and full texts were read and refinements to the search were made, a final corpus of 69 publications was analysed using VOSviewer software for text mining and cluster visualisation. Findings The results highlight how ETs foster the preparedness and resilience of specific systems when dealing with different phases of the DM cycle. Simulation and disaster risk reduction are the fields of major relevance in the application of ETs to DM. Originality/value This paper contributes to the literature by adding the lenses of performance measurement, management and accountability in analysing the impact of ETs on DM. It thus represents a starting point for scholars to develop future research on a rapidly and continuously developing topic.

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